Distributed Large Dataset Deployment with Improved Load Balancing and Perform...IJERA Editor
Cloud computing is a prototype for permitting universal, appropriate, on-demand network access. Cloud is a
method of computing where enormously scalable IT-enabled proficiencies are delivered „as a service‟ using
Internet tools to multiple outdoor clients. Virtualization is the establishment of a virtual form of something such
as computing device or server, an operating system, or network devices and storage device. The different names
for cloud data management are DaaS Data as a service, Cloud Storage, and DBaaS Database as a service. Cloud
storage permits users to store data, information in documents formats. iCloud, Google drive, Drop box, etc. are
most common and widespread cloud storage methods. The main challenges connected with cloud database are
fault tolerance, scalability, data consistency, high availability and integrity, confidentiality and many more.
Load balancing improves the performance of the data center. We propose an architecture which provides load
balancing to the cloud database. We introduced a load balancing server which calculates the load of the data
center using our proposed algorithm and distributes the data accordingly to the different data centers.
Experimental results showed that it also improve the performance of the cloud system.
Storage Virtualization: Towards an Efficient and Scalable FrameworkCSCJournals
Enterprises in the corporate world demand high speed data protection for all kinds of data. Issues such as complex server environments with high administrative costs and low data protection have to be resolved. In addition to data protection, enterprises demand the ability to recover/restore critical information in various situations. Traditional storage management solutions such as direct-attached storage (DAS), network-attached storage (NAS) and storage area networks (SAN) have been devised to address such problems. Storage virtualization is the emerging technology that amends the underlying complications of physical storage by introducing the concept of cloud storage environments. This paper covers the DAS, NAS and SAN solutions of storage management and emphasizes the benefits of storage virtualization. The paper discusses a potential cloud storage structure based on which storage virtualization architecture will be proposed.
Enhancement of the Cloud Data Storage Architectural Framework in Private CloudINFOGAIN PUBLICATION
The data storage in the cloud typically resides in a service providing environment collocated with data from different clients. The institutions or organizations moving the sensitive and regulated data into the cloud in order to maintain the account for the means by which the access data is controlled and the data is kept secure. Data can take many forms. The cloud based application development; it includes the application programs, scripts, and configuration settings, along with the development tools. For deployed applications, it includes records and other content created or used by the applications, as well as account information about the users of the applications. Access controls are one means to keep data away from unauthorized users; encryption is another. Access controls are typically identity-based, which makes authentication of the user’s identity an important issue in cloud computing. In this research paper focus the cloud data storage architectural frame work of encrypted data.
Data Partitioning Technique In Cloud: A Survey On Limitation And BenefitsIJERA Editor
In recent years,increment in the growth and popularity of cloud services has lead the enterprises to an increase in the capability to handle, store and retrieve critical data. This technology access a shared group of configurable computing resources, which are- servers,storage and applications. Cloud computing is a succeeding generation architecture of IT enterprise, which convert the application software and databaseto large data hubs.Data security and storage of data is an essential functionality of cloud services.It allows data storage in the cloud server efficiently without any worry. Cloud services includes request service, wide web access, measured services, just single click away ,easy usage, just pay for the services you use and location independent.All these features poses many security challenges.The data partitioning techniques are used in literature, for privacy conserving and security of data, using third party auditor (TPA). Objective of the current workis to review all available partitioning technique in literature and analyze them. Through this work authors will compare and identify the limitations and benefits of the available and widely used partitioning techniques.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Distributed Large Dataset Deployment with Improved Load Balancing and Perform...IJERA Editor
Cloud computing is a prototype for permitting universal, appropriate, on-demand network access. Cloud is a
method of computing where enormously scalable IT-enabled proficiencies are delivered „as a service‟ using
Internet tools to multiple outdoor clients. Virtualization is the establishment of a virtual form of something such
as computing device or server, an operating system, or network devices and storage device. The different names
for cloud data management are DaaS Data as a service, Cloud Storage, and DBaaS Database as a service. Cloud
storage permits users to store data, information in documents formats. iCloud, Google drive, Drop box, etc. are
most common and widespread cloud storage methods. The main challenges connected with cloud database are
fault tolerance, scalability, data consistency, high availability and integrity, confidentiality and many more.
Load balancing improves the performance of the data center. We propose an architecture which provides load
balancing to the cloud database. We introduced a load balancing server which calculates the load of the data
center using our proposed algorithm and distributes the data accordingly to the different data centers.
Experimental results showed that it also improve the performance of the cloud system.
Storage Virtualization: Towards an Efficient and Scalable FrameworkCSCJournals
Enterprises in the corporate world demand high speed data protection for all kinds of data. Issues such as complex server environments with high administrative costs and low data protection have to be resolved. In addition to data protection, enterprises demand the ability to recover/restore critical information in various situations. Traditional storage management solutions such as direct-attached storage (DAS), network-attached storage (NAS) and storage area networks (SAN) have been devised to address such problems. Storage virtualization is the emerging technology that amends the underlying complications of physical storage by introducing the concept of cloud storage environments. This paper covers the DAS, NAS and SAN solutions of storage management and emphasizes the benefits of storage virtualization. The paper discusses a potential cloud storage structure based on which storage virtualization architecture will be proposed.
Enhancement of the Cloud Data Storage Architectural Framework in Private CloudINFOGAIN PUBLICATION
The data storage in the cloud typically resides in a service providing environment collocated with data from different clients. The institutions or organizations moving the sensitive and regulated data into the cloud in order to maintain the account for the means by which the access data is controlled and the data is kept secure. Data can take many forms. The cloud based application development; it includes the application programs, scripts, and configuration settings, along with the development tools. For deployed applications, it includes records and other content created or used by the applications, as well as account information about the users of the applications. Access controls are one means to keep data away from unauthorized users; encryption is another. Access controls are typically identity-based, which makes authentication of the user’s identity an important issue in cloud computing. In this research paper focus the cloud data storage architectural frame work of encrypted data.
Data Partitioning Technique In Cloud: A Survey On Limitation And BenefitsIJERA Editor
In recent years,increment in the growth and popularity of cloud services has lead the enterprises to an increase in the capability to handle, store and retrieve critical data. This technology access a shared group of configurable computing resources, which are- servers,storage and applications. Cloud computing is a succeeding generation architecture of IT enterprise, which convert the application software and databaseto large data hubs.Data security and storage of data is an essential functionality of cloud services.It allows data storage in the cloud server efficiently without any worry. Cloud services includes request service, wide web access, measured services, just single click away ,easy usage, just pay for the services you use and location independent.All these features poses many security challenges.The data partitioning techniques are used in literature, for privacy conserving and security of data, using third party auditor (TPA). Objective of the current workis to review all available partitioning technique in literature and analyze them. Through this work authors will compare and identify the limitations and benefits of the available and widely used partitioning techniques.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IT Solutions for 3 Common Small Business ProblemsBrooke Bordelon
Many time consuming IT problems can be side-stepped by establishing a solid network from the get-go rather than playing catch up with problems as they arise..find out how with these IT solutions.
Unit 3 -Data storage and cloud computingMonishaNehkal
Data storage
Cloud storage
Cloud storage from LANs to WANs
Cloud computing services
Cloud computing at work
File system
Data management
Management services
Public Key Encryption algorithms Enabling Efficiency Using SaaS in Cloud Comp...Editor IJMTER
The Most great challenging in Cloud computing is Security. Here Security plays key role
in this paper proposed concept mainly deals with security at the end user access. While coming to the
end user access that are connected through the public networks. Here the end user wants to access his
application or services protected by the unauthorized persons. In this area if we want to apply
encryption or decryption methods such as RSA, 3DES, MD5, Blow fish. Etc.,
Whereas we can utilize these services at the end user access in cloud computing. Here there is
problem of encryption and decryption of the messages, services and applications. They are is lot of
time to take encrypt as well as decrypt and more number of processing capabilities are needed to use
the mechanism. For that problem we are introducing to use of cloud computing in SaaS model. i.e.,
scalable is applicable in this area so whenever it requires we can utilize the SaaS model.
In Cloud computing use of computing resources (hardware and software) that are delivered as a
service over Internet network. In advance earlier there is problem of using key size in various
algorithm like 64 bit it take some long period to encrypt the data.
CLOUD ANALYTICS: AN INSIGHT ON DATA AND STORAGE SERVICES IN MICROSOFT AZUREJournal For Research
The growing demand of cloud adoption in the organizations has made IT business to refine their existing strategy. It is important to leverage the existing infrastructure and move the data to cloud which has a competitive edge in terms of operational cost. The adaptability to change is the key and with the agility through cloud, highly scalable and data availability with minimal downtime at enterprise is established. Microsoft Azure is one of the leading cloud vendors in the market and their capabilities in Analytics, Data and Storage services helps the organizations to move their data to cloud with ease. They provide hybrid cloud model with related services which enable flexibility to meet any specific business needs with instant scalability and flexible architectural patterns. There are catalog of services offered by Microsoft Azure to have the data on cloud and build an integrated solution. In this paper, Azure cloud data and storage services are discussed along with other essential capabilities providing value to business.
Trust Your Cloud Service Provider: User Based Crypto ModelIJERA Editor
In Data Storage as a Service (STaaS) cloud computing environment, the equipment used for business operations
can be leased from a single service provider along with the application, and the related business data can be
stored on equipment provided by the same service provider. This type of arrangement can help a company save
on hardware and software infrastructure costs, but storing the company’s data on the service provider’s
equipment raises the possibility that important business information may be improperly disclosed to others [1].
Some researchers have suggested that user data stored on a service-provider’s equipment must be encrypted [2].
Encrypting data prior to storage is a common method of data protection, and service providers may be able to
build firewalls to ensure that the decryption keys associated with encrypted user data are not disclosed to
outsiders. However, if the decryption key and the encrypted data are held by the same service provider, it raises
the possibility that high-level administrators within the service provider would have access to both the
decryption key and the encrypted data, thus presenting a risk for the unauthorized disclosure of the user data. we
in this paper provides an unique business model of cryptography where crypto keys are distributed across the
user and the trusted third party(TTP) with adoption of such a model mainly the CSP insider attack an form of
misuse of valuable user data can be treated secured.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Intelligent Hybrid Cloud Data Hosting Services with Effective Cost and High A...IJECEIAES
In this Paper the major concentration is an efficient and user based data hosting service for hybrid cloud. It provides friendly transaction scheme with the features of cost effective and high availability to all users. This framework intelligently puts data into cloud with effective cost and high availability. This gives a plan of proof of information respectability in which the client has utilize to check the rightness of his information. In this study the major cloud storage vendors in India are considered and the parameters like storage space, cost of storage, outgoing bandwidth and type of transition mode. Based on available knowledge on all parameters of existing cloud service providers in India, the intelligent hybrid cloud data hosting framework assures to customers for low cost and high availability with mode of transition. It guarantees that the ability at the customer side is negligible and which will be helpful for customers.
Postponed Optimized Report Recovery under Lt Based Cloud MemoryIJARIIT
Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
AUTHENTICATION SCHEME FOR DATABASE AS A SERVICE(DBAAS) ijccsa
IT Companies have shifted their resources to the cloud at rapidly increasing rate. As part of this trend companies are migrating business critical and sensitive data stored in database to cloud-hosted and Database as a Service (DBaaS) solutions.Of all that has been written about cloud computing, precious little attention has been paid to authentication in the cloud. In this paper we have designed a new effective authentication scheme for Cloud Database as a Service (DBaaS). A user can change his/her password, whenever demanded. Furthermore, security analysis realizes the feasibility of the proposed model for DBaaS and achieves efficiency. We also proposed an efficient authentication scheme to solve the authentication problem in cloud. The proposed solution which we have provided is based mainly on improved Needham-Schroeder’s protocol to prove the users’ identity to determine if this user is authorized or not. The results showed that this scheme is very strong and difficult to break it.
Excellent Manner of Using Secure way of data storage in cloud computingEditor IJMTER
The major challenging issue in Cloud computing is Security. Providing Security is big issue
towards protecting data from third person as well as in Internet. This mainly deals the Security how it is
provided. Various type of services are there to protect our data and Various Services are available in Cloud
Computing to Utilize effective manner as Software as a Service (SaaS), Platform as a Service (PaaS),
Hardware as a Service (HaaS). Cloud computing is the use of computing resources (hardware and
software) that are delivered as a service over Internet network. Cloud Computing moves the Application
software and databases to the large data centres, where the administration of the data and services may not
be fully trustworthy that is in third party here the party has to get certified and authorized. Since Cloud
Computing share distributed resources via network in the open environment thus it makes new security
risks towards the correctness of the data in cloud. I propose in this paper flexibility of data storage
mechanism in the distributed environment by using the homomorphism token generation. In the proposed
system, users need to allow auditing the cloud storage with lightweight communication. While using
Encryption and Decryption methods it is very burden for a single processor. Than the processing
Capabilities can we utilize from Cloud Computing.
BFC: High-Performance Distributed Big-File Cloud Storage Based On Key-Value S...dbpublications
Nowadays, cloud-based storage services are rapidly growing and becoming an emerging trend in data storage field. There are many problems when designing an efficient storage engine for cloud-based systems with some requirements such as big-file processing, lightweight meta-data, low latency, parallel I/O, Deduplication, distributed, high scalability. Key-value stores played an important role and showed many advantages when solving those problems. This paper presents about Big File Cloud (BFC) with its algorithms and architecture to handle most of problems in a big-file cloud storage system based on key value store. It is done by proposing low-complicated, fixed-size meta-data design, which supports fast and highly-concurrent, distributed file I/O, several algorithms for resumable upload, download and simple data Deduplication method for static data. This research applied the advantages of ZDB - an in-house key value store which was optimized with auto-increment integer keys for solving big-file storage problems efficiently. The results can be used for building scalable distributed data cloud storage that support big-file with size up to several terabytes.
Load Balancing and Data Management in Cloud Computingijtsrd
Cloud computing is an online storage media where we access, store and manage the data. It stores the data on remote servers rather than a local server and that data can be accessed through the internet. For example Google Drive is personal cloud storage from Google. When there are number of request in cloud computing, then load balancer is used to distribute request between the remote servers and efficiently handle those request. Load balancer distributes client request or network load efficiently across multiple servers. By using cloud infrastructure, we don't have to spend huge amount of money on purchasing and maintaining equipment. Cloud data management is a way to manage data across cloud platforms, either with or instead of on premises storage. Deepali Rai | Dinesh Kumar "Load Balancing and Data Management in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31035.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31035/load-balancing-and-data-management-in-cloud-computing/deepali-rai
Depth Estimation and Source Location of Magnetic Anomalies from a Basement Co...IOSR Journals
Source locations and depths to magnetic contacts were estimated from the total intensity magnetic
field of an area of 3,025.25 square kilometres on geographical latitude 7o00' N to N o ' 7 30 and longitude
E o ' 3 00 to E o ' 3 30 within Abeokuta area, using local wavenumber method. This study was carried out using
digitised airborne magnetic data of basement complex formation. Structural interpretation of the magnetic data
was achieved through applying advanced processing techniques that provide automatic delineation and depth
estimation of the magnetic structures. Local wavenumber method was used for locating and estimating depth to
magnetic contact. The magnetic contact depth ranges from 0.145km to 2.692km.
Half-metallic-ferrimagnetic Sr2CrWO6 and Sr2FeReO6 materials for room tempera...IOSR Journals
Complex perovskite-like materials which include magnetic transition elements have relevance due to
the technological perspectives in the spintronics industry. In this work, we report the studies of the electronic
and magnetic characterizations of Sr2CrWO6 and Sr2FeReO6 as spintronics materials at room temperature by
using the linearized muffin-tin orbitals (LMTO) method through the atomic-sphere approximation (ASA) within
the local spin density approximation (LSDA). The interchange-correlation potential was included through the
LSDA+U technique. The band structure results at room-temperature predict half-metallic ferrimagnetic ground
state for Sr2CrWO6 and Sr2FeReO6 with total magnetic moment of 1.878 μB and 3.184 μB per formula unit,
respectively, agreement with the previous theoretical and experimental results.
IT Solutions for 3 Common Small Business ProblemsBrooke Bordelon
Many time consuming IT problems can be side-stepped by establishing a solid network from the get-go rather than playing catch up with problems as they arise..find out how with these IT solutions.
Unit 3 -Data storage and cloud computingMonishaNehkal
Data storage
Cloud storage
Cloud storage from LANs to WANs
Cloud computing services
Cloud computing at work
File system
Data management
Management services
Public Key Encryption algorithms Enabling Efficiency Using SaaS in Cloud Comp...Editor IJMTER
The Most great challenging in Cloud computing is Security. Here Security plays key role
in this paper proposed concept mainly deals with security at the end user access. While coming to the
end user access that are connected through the public networks. Here the end user wants to access his
application or services protected by the unauthorized persons. In this area if we want to apply
encryption or decryption methods such as RSA, 3DES, MD5, Blow fish. Etc.,
Whereas we can utilize these services at the end user access in cloud computing. Here there is
problem of encryption and decryption of the messages, services and applications. They are is lot of
time to take encrypt as well as decrypt and more number of processing capabilities are needed to use
the mechanism. For that problem we are introducing to use of cloud computing in SaaS model. i.e.,
scalable is applicable in this area so whenever it requires we can utilize the SaaS model.
In Cloud computing use of computing resources (hardware and software) that are delivered as a
service over Internet network. In advance earlier there is problem of using key size in various
algorithm like 64 bit it take some long period to encrypt the data.
CLOUD ANALYTICS: AN INSIGHT ON DATA AND STORAGE SERVICES IN MICROSOFT AZUREJournal For Research
The growing demand of cloud adoption in the organizations has made IT business to refine their existing strategy. It is important to leverage the existing infrastructure and move the data to cloud which has a competitive edge in terms of operational cost. The adaptability to change is the key and with the agility through cloud, highly scalable and data availability with minimal downtime at enterprise is established. Microsoft Azure is one of the leading cloud vendors in the market and their capabilities in Analytics, Data and Storage services helps the organizations to move their data to cloud with ease. They provide hybrid cloud model with related services which enable flexibility to meet any specific business needs with instant scalability and flexible architectural patterns. There are catalog of services offered by Microsoft Azure to have the data on cloud and build an integrated solution. In this paper, Azure cloud data and storage services are discussed along with other essential capabilities providing value to business.
Trust Your Cloud Service Provider: User Based Crypto ModelIJERA Editor
In Data Storage as a Service (STaaS) cloud computing environment, the equipment used for business operations
can be leased from a single service provider along with the application, and the related business data can be
stored on equipment provided by the same service provider. This type of arrangement can help a company save
on hardware and software infrastructure costs, but storing the company’s data on the service provider’s
equipment raises the possibility that important business information may be improperly disclosed to others [1].
Some researchers have suggested that user data stored on a service-provider’s equipment must be encrypted [2].
Encrypting data prior to storage is a common method of data protection, and service providers may be able to
build firewalls to ensure that the decryption keys associated with encrypted user data are not disclosed to
outsiders. However, if the decryption key and the encrypted data are held by the same service provider, it raises
the possibility that high-level administrators within the service provider would have access to both the
decryption key and the encrypted data, thus presenting a risk for the unauthorized disclosure of the user data. we
in this paper provides an unique business model of cryptography where crypto keys are distributed across the
user and the trusted third party(TTP) with adoption of such a model mainly the CSP insider attack an form of
misuse of valuable user data can be treated secured.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Intelligent Hybrid Cloud Data Hosting Services with Effective Cost and High A...IJECEIAES
In this Paper the major concentration is an efficient and user based data hosting service for hybrid cloud. It provides friendly transaction scheme with the features of cost effective and high availability to all users. This framework intelligently puts data into cloud with effective cost and high availability. This gives a plan of proof of information respectability in which the client has utilize to check the rightness of his information. In this study the major cloud storage vendors in India are considered and the parameters like storage space, cost of storage, outgoing bandwidth and type of transition mode. Based on available knowledge on all parameters of existing cloud service providers in India, the intelligent hybrid cloud data hosting framework assures to customers for low cost and high availability with mode of transition. It guarantees that the ability at the customer side is negligible and which will be helpful for customers.
Postponed Optimized Report Recovery under Lt Based Cloud MemoryIJARIIT
Fountain code based conveyed stockpiling system give solid online limit course of action through putting unlabeled
subset pieces into various stockpiling hubs. Luby Transformation (LT) code is one of the predominant wellspring codes for limit
systems in view of its viable recuperation. In any case, to ensure high accomplishment deciphering of wellspring code based limit
recuperation of additional segments in required and this need could avoid additional put off. We give the idea that distinctive stage
recuperation of piece is powerful to lessen the document recovery delay. We first develop a postpone display for various stage
recuperation arranges pertinent to our considered system with the made model. We focus on perfect recuperation arranges given
essentials on accomplishment decipher limit. Our numerical outcomes propose a focal tradeoff between the record recuperation
delay and the target of fruitful document unraveling and that the report recuperation deferral can be on a very basic level decrease
by in a perfect world bundle requests in a multi arrange style.
AUTHENTICATION SCHEME FOR DATABASE AS A SERVICE(DBAAS) ijccsa
IT Companies have shifted their resources to the cloud at rapidly increasing rate. As part of this trend companies are migrating business critical and sensitive data stored in database to cloud-hosted and Database as a Service (DBaaS) solutions.Of all that has been written about cloud computing, precious little attention has been paid to authentication in the cloud. In this paper we have designed a new effective authentication scheme for Cloud Database as a Service (DBaaS). A user can change his/her password, whenever demanded. Furthermore, security analysis realizes the feasibility of the proposed model for DBaaS and achieves efficiency. We also proposed an efficient authentication scheme to solve the authentication problem in cloud. The proposed solution which we have provided is based mainly on improved Needham-Schroeder’s protocol to prove the users’ identity to determine if this user is authorized or not. The results showed that this scheme is very strong and difficult to break it.
Excellent Manner of Using Secure way of data storage in cloud computingEditor IJMTER
The major challenging issue in Cloud computing is Security. Providing Security is big issue
towards protecting data from third person as well as in Internet. This mainly deals the Security how it is
provided. Various type of services are there to protect our data and Various Services are available in Cloud
Computing to Utilize effective manner as Software as a Service (SaaS), Platform as a Service (PaaS),
Hardware as a Service (HaaS). Cloud computing is the use of computing resources (hardware and
software) that are delivered as a service over Internet network. Cloud Computing moves the Application
software and databases to the large data centres, where the administration of the data and services may not
be fully trustworthy that is in third party here the party has to get certified and authorized. Since Cloud
Computing share distributed resources via network in the open environment thus it makes new security
risks towards the correctness of the data in cloud. I propose in this paper flexibility of data storage
mechanism in the distributed environment by using the homomorphism token generation. In the proposed
system, users need to allow auditing the cloud storage with lightweight communication. While using
Encryption and Decryption methods it is very burden for a single processor. Than the processing
Capabilities can we utilize from Cloud Computing.
BFC: High-Performance Distributed Big-File Cloud Storage Based On Key-Value S...dbpublications
Nowadays, cloud-based storage services are rapidly growing and becoming an emerging trend in data storage field. There are many problems when designing an efficient storage engine for cloud-based systems with some requirements such as big-file processing, lightweight meta-data, low latency, parallel I/O, Deduplication, distributed, high scalability. Key-value stores played an important role and showed many advantages when solving those problems. This paper presents about Big File Cloud (BFC) with its algorithms and architecture to handle most of problems in a big-file cloud storage system based on key value store. It is done by proposing low-complicated, fixed-size meta-data design, which supports fast and highly-concurrent, distributed file I/O, several algorithms for resumable upload, download and simple data Deduplication method for static data. This research applied the advantages of ZDB - an in-house key value store which was optimized with auto-increment integer keys for solving big-file storage problems efficiently. The results can be used for building scalable distributed data cloud storage that support big-file with size up to several terabytes.
Load Balancing and Data Management in Cloud Computingijtsrd
Cloud computing is an online storage media where we access, store and manage the data. It stores the data on remote servers rather than a local server and that data can be accessed through the internet. For example Google Drive is personal cloud storage from Google. When there are number of request in cloud computing, then load balancer is used to distribute request between the remote servers and efficiently handle those request. Load balancer distributes client request or network load efficiently across multiple servers. By using cloud infrastructure, we don't have to spend huge amount of money on purchasing and maintaining equipment. Cloud data management is a way to manage data across cloud platforms, either with or instead of on premises storage. Deepali Rai | Dinesh Kumar "Load Balancing and Data Management in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31035.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/31035/load-balancing-and-data-management-in-cloud-computing/deepali-rai
Depth Estimation and Source Location of Magnetic Anomalies from a Basement Co...IOSR Journals
Source locations and depths to magnetic contacts were estimated from the total intensity magnetic
field of an area of 3,025.25 square kilometres on geographical latitude 7o00' N to N o ' 7 30 and longitude
E o ' 3 00 to E o ' 3 30 within Abeokuta area, using local wavenumber method. This study was carried out using
digitised airborne magnetic data of basement complex formation. Structural interpretation of the magnetic data
was achieved through applying advanced processing techniques that provide automatic delineation and depth
estimation of the magnetic structures. Local wavenumber method was used for locating and estimating depth to
magnetic contact. The magnetic contact depth ranges from 0.145km to 2.692km.
Half-metallic-ferrimagnetic Sr2CrWO6 and Sr2FeReO6 materials for room tempera...IOSR Journals
Complex perovskite-like materials which include magnetic transition elements have relevance due to
the technological perspectives in the spintronics industry. In this work, we report the studies of the electronic
and magnetic characterizations of Sr2CrWO6 and Sr2FeReO6 as spintronics materials at room temperature by
using the linearized muffin-tin orbitals (LMTO) method through the atomic-sphere approximation (ASA) within
the local spin density approximation (LSDA). The interchange-correlation potential was included through the
LSDA+U technique. The band structure results at room-temperature predict half-metallic ferrimagnetic ground
state for Sr2CrWO6 and Sr2FeReO6 with total magnetic moment of 1.878 μB and 3.184 μB per formula unit,
respectively, agreement with the previous theoretical and experimental results.
Parametric sensitivity analysis of a mathematical model of facultative mutualismIOSR Journals
The complex dynamics of facultative mutualism is best described by a system of continuous non-linear first order ordinary differential equations. The methods of 1-norm, 2-norm, and infinity-norm will be used to quantify and differentiate the different forms of the sensitivity of model parameters. These contributions will be presented and discussed.
Determining Tax Literacy of Salaried Individuals - An Empirical AnalysisIOSR Journals
In personal financial planning, tax management plays a very important role. An individual should have thorough knowledge of various aspects of taxes and tax policies, which would help him to understand how much he can save even after paying taxes. Those people who have not taken any formal course on taxation finds it difficult to understand and comprehend the issues related to determination of tax liability, tax filling and tax saving. An attempt has been made through this paper to determine tax literacy level of salaried individuals based on various demographic and socio-economic factors. Findings of the study suggest that overall tax literacy level of respondents is not very high. The results suggest that level of tax literacy varies significantly among respondents. Also tax literacy level gets affected by gender, age, education, income, nature of employment and place of work whereas it does not get affected by geographic region. Findings of this paper suggest that government should adopt more aggressive approaches to educate taxpayers, thereby raising the level of tax literacy among them.
Role of Educational Qualification of Consumers on Need Recognition: A Study w...IOSR Journals
Demographic variables are the most popular bases for segmenting the customer groups. One reason is that consumer needs, wants, preferences and usage rates often highly associated with demographic variables. Another is that demographic variables are easier to measure than the most of other type variables. Marketers are keenly interested in the size and growth rate of population in different cities, regions, nations; age distribution; educational levels; household patterns; and regional characteristics and movements. Because, on the basis of these measures only, marketers have to formulate their marketing strategies in order to fulfil the needs, wants and preferences of consumers. Moreover, demographic variables make known the ongoing trends, such as shifts in age, sex and income distribution that signal new business opportunities to the marketers. Demographic trends are highly reliable for the short and intermediate run. This paper, with a strong backing of literature, explains the role of educational qualification of consumers on recognizing a need for car.
Design of Anti-collision Technique for RFID UHF Tag using VerilogIOSR Journals
Abstract: This paper presents a proposed Reliable and Cost Effective Anti-collision technique (RCEAT) for Radio Frequency Identification (RFID) Class 0 UHF tag. The RCEAT architecture consists of two main subsystems; PreRCEAT and PostRCEAT. The PreRCEAT subsystem is to detect any error in the incoming messages. Then the identification bit (ID) of the no error packet will be fed to the next subsystem. The PostRCEAT subsystem is to identify the tag by using the proposed Fast-search Lookup Table. The proposed system is designed using Verilog HDL. The system has been successfully implemented in hardware using Field Programmable Grid Array (FPGA) SPARTAN 3E. Finally the RCEAT architecture is synthesized using xillins 13.3v. From the hardware verification results, it shows that the proposed RCEAT system enables to identify the tags without error at the maximum operating frequency of 180MHz. The system consumes 7.578 mW powers, occupies 6,041 gates and 0.0375 mm2 area with Data arrival time of 2.31 ns. Key words: FPGA,Spartan 3e,RCEAT,Verilog HDL,RFID tag,CRC.
Measurement of Efficiency Level in Nigerian Seaport after Reform Policy Imple...IOSR Journals
This paper focuses on the impact of reforms on port performance using Onne and Rivers ports as a reference point. It analyses the pre and post reform eras of the ports in terms of their performance. The reforms took effect from 1996 after the Federal Government of Nigeria concessioned the ports to private investors. Parameters such as Ship traffic, Cargo throughput, Ship turn round time, Berth Occupancy and personnel were used as variables for the assessment. Secondary Data were collected from the Nigerian Ports Authority and Integrated Logistic Services Nigeria (Intels) for the period 2001 to 2010 and analyzed using Data Envelopment Analysis to assess the efficiency of the port. Analysis revealed a continuous improvement in the overall efficiency of both Ports Since 2006 when the new measure was introduced. Average Ship turn-around time improved in the ports due to modern and fast cargo handling equipment and more cargo handling space which were provided. There is an increase in Ship traffic calling at the ports, resulting in increased cargo throughput and berth occupancy rate at ports of Onne and Rivers. The reform also led to more private investment in the ports’ existing and new facilities and the introduction of a World Class service in port operation. This study concludes that the Ports of Onne and Rivers are performing better under the reform programme of the Federal Government of Nigeria. It finally recommends the urgent need for a regulator to appraise the performance of the reform programme from time to time as provided by the agreement and for the full adoption and utilization of management information system (MIS) to aid performance efficiency.
Kinetic study of free and immobilized protease from Aspergillus sp.IOSR Journals
In the present investigation partially purified alkaline protease from Aspergillus sp. As#6 and As#7 strains were entrapped in calcium alginate beads and characterized using casein as a substrate. Temperature and pH maxima of protease from As#6 strain showed no changes before and after immobilization and remained stable at 450C and pH 9, respectively. However km value was slightly shifted from 4.5mg/ml to 5 mg/ml. Proteases from As#7 strain showed shifting in pH optima to a more alkaline range (10.0) as compared with free enzyme (9.0). Optimum temperature for protease from As#7 strain showed changes after immobilization and shifted from 650C to 850C. However there was no significant effect on Km value but Vmax of immobilized protease from As#7 strain was also shifted from 200U/ml to 370U/ml. Immobilized protease from As#6 strain was reused for 3 cycles with 22% loss in its activity whereas immobilize protease from As#7 strain was reused for 3 cycles with 17% loss in its activity. Protease from As#7 strain has a higher affinity for the substrate and higher proteolysis activity than protease from As#6 strain. The present work concludes that Aspergillus As#7 strain may be a good source of industrial protease
To Study The Viscometric Measurement Of Substituted-2-Diphenylbutanamide And ...IOSR Journals
Recently in this laboratory the viscometric measurement of 4-[4-(4-chlorophenyl]-4-hydroxy piperidin-1-yl]-N, N-dimethyl-2, 2-diphenylbutanamide[CPHDD] and (2S, 6R)-7-chloro -2, 4, 6-trimethoxy-6'-methyl-3H, 4'H-spiro[1-benzofuran 2, 1’-] cychohex-2-ene]-3,4'-dione[CTMBCD] were carried out at different percentage compositions of solvent to investigate the solute-solvent interactions of drugs with solvent and the effect of dilution of the solvent. The effects of various substituents were also investigated. The results obtained during this investigation gave detail information about pharmacokinetics and pharmacodynamics of these drugs.
Building Consumer Loyalty through Servicescape in Shopping MallsIOSR Journals
India is experiencing exponential growth in retail sector and Global Retail Development Index
consecutively ranked as one of the most promising retail destinations of the world. Due to this reason lot of
investments are happening in India and new players are entering the market. Shopping Mall being the latest
organized retail format entering the market witnessed huge popularity and consumer attention, luring mall
developers going all out to launch their projects. However the mushrooming growth of shopping malls has
posed lot of challenges. Recent studies have revealed that 45% of the malls in cities are vacant. Poor mall
management and poor tenant mix have resulted in poor mall traffic and low conversion rate. This paper
attempts to explore the possibility of building consumer loyalty through effective use of servicescape (physical
environment) in a shopping mall to attract and retain serious buyers. Study revealed that seven servicescape
dimensions considered i.e., ambient factor, aesthetic factor, layout, variety, cleanliness, signs, symbols &
artifacts, and social factor are all relevant in shopping mall context and capable of inducing significant
variations in consumer loyalty.
Isolation and Characterization of Thermostable Protease Producing Bacteria fr...IOSR Journals
This study is a search for potential thermostable protease producing strain. Among nine protease
producing strains screened from soap industry effluent, one was selected as promising thermostable protease
producer and identified as Bacillus subtilis. The activity of the protease produced by this organism is stable up
to 70ºC. The optimum yield was achieved after 48 hours of culture, at 65ºC with the pH 8.0. The maximum
protease activity was observed at 65ºC and at pH 8.0.
The Role Of Non Market Capability Moderation In The Relationship Between Envi...IOSR Journals
This study aims to: 1) explain the influence of government involvement and resources on the efficiency and performance of Water Supplier Companies; 2) explain the role of non market capability moderation in the relationship between environment, strategies, and the performance of Water Supplier Companies. The data were collected by using a survey on 60 Water Supplier Companies in Sulawesi. From those companies, 54 gave consent to participate in this study, but only 50 questionnaires can be analysed by using PLS. This reserach reveals that: 1) financial support from the local government was on time, and the water production capacity and distribution wereon optimal level; 2) the financial supportwas strengthened by the ability of the Water Supplier Companies to communicate with local government; and 3) the availability of resources - including pipe networks, machines, and pumps – suited the necessity.
Stellar Measurements with the New Intensity FormulaIOSR Journals
In this paper a linear relationship in stellar optical spectra has been found by using a
spectroscopical method used on optical light sources where it is possible to organize atomic and ionic data.
This method is based on a new intensity formula in optical emission spectroscopy (OES). Like the HR-diagram ,
it seems to be possible to organize the luminosity of stars from different spectral classes. From that organization
it is possible to determine the temperature , density and mass of stars by using the new intensity formula. These
temperature, density and mass values agree well with literature values. It is also possible to determine the mean
electron temperature of the optical layers (photospheres) of the stars as it is for atoms in the for laboratory
plasmas. The mean value of the ionization energies of the different elements of the stars has shown to be very
significant for each star. This paper also shows that the hydrogen Balmer absorption lines in the stars follow
the new intensity formula.
Chemical Investigations of Some Commercial Samples of Calcium Based Ayurvedic...IOSR Journals
Kapardika bhasma is an important Ayurvedic drug of marine origin. Even though it is composed of mainly of calcium carbonate it exhibits excellent medicinal properties which are not associated with standard calcium carbonate. In the present study four commercial samples are characterized using techniques like EDX, SEM, IR, UV,XRD and TG analysis to throw light on their chemical composition and chemical properties .Such comparative study may help to standardise and to interpret the biological and medicinal properties of such traditional drug.
Binary Discourse in U.S. Presidential Speeches from FDR to Bush IIIOSR Journals
The contemporary study of American Presidential rhetoric is of great significance. Politics is very largely the use of language. Presidential speech and action increasingly reflect the opinion that speaking is governing. In fact, the power of the presidency depends on its ability to persuade. The application of power is often legitimized through rhetorical persuasion; and, in the case of American Presidents, such power, and its associated rhetoric, becomes the fulcrum upon which many global issues turn
Inventory Management System and Performance of Food and Beverages Companies i...IOSR Journals
Inventory management decisions are an integral aspect of organisations. Inventory postponement as
argued by Bucklin (1965) is where a firm deliberately delays the purchase and the physical possession of
inventory items until demand or usage requirements are known with certainty. This is an effective supply chain
strategy adopted by most manufacturing organisations by reducing the inventory, and in turn reducing the cost
of obsolete stock. This study explores the relationship between inventory management and control and
performance and Food and Beverages companies in Nigeria. Secondary data were obtained from annual
financial reports and accounts of Food and Beverages companies listed on the Nigerian Stock Exchange. The
data obtained were analyzed using simple and multiple regression models. The results show that there
significant relationship between inventory management and control and the performance of Food and
Beverages companies in Nigeria. The multiple regression correlation coefficient (R) =0.996, R2=0.990 and pvalue
=0;00<0.05 The results also show the relative importance of the inventory management decisions made
by the organisation, and the implications these decisions have on the consumer. The findings show that the three
key qualities that are essential in inventory management decisions for manufacturing organisation from the
perspective of the third party logistics provider are customer satisfaction, on time delivery and order fulfillment
Explore the symbiotic alliance of AI and Cloud Computing, delivering unparalleled computational power, cost-efficiency, and transformative applications. Unleash innovation, scalability, and efficiency with this dynamic technological fusion.
ANALYSIS OF THE COMPARISON OF SELECTIVE CLOUD VENDORS SERVICESijccsa
Cloud computing refers to a location that allows us to preserve our precious data and use computing and
networking services on a pay-as-you-go basis without the need for a physical infrastructure. Cloud
computing now provides us with powerful data processing and storage, exceptional availability and
security, rapid accessibility and adaption, ensured flexibility and interoperability, and time and cost
efficiency. Cloud computing offers three platforms (IaaS, PaaS, and SaaS) with unique capabilities that
promise to make it easier for a customer, organization, or trade to establish any type of IT business. We
compared a variety of cloud service characteristics in this article, following the comparing, it's
straightforward to pick a specific cloud service from the possible options by comparison with three chosen
cloud providers such as Amazon, Microsoft Azure, and Digital Ocean. By using findings of this study to not
only identify similarities and contrasts across various aspects of cloud computing, as well as to suggest
some areas for further study.
Efficient and reliable hybrid cloud architecture for big databaseijccsa
The objective of our paper is to propose a Cloud computing framework which is feasible and necessary for
handling huge data. In our prototype system we considered national ID database structure of Bangladesh
which is prepared by election commission of Bangladesh. Using this database we propose an interactive
graphical user interface for Bangladeshi People Search (BDPS) that use a hybrid structure of cloud
computing handled by apache Hadoop where database is implemented by HiveQL. The infrastructure
divides into two parts: locally hosted cloud which is based on “Eucalyptus” and the remote cloud which is
implemented on well-known Amazon Web Service (AWS). Some common problems of Bangladesh aspect
which includes data traffic congestion, server time out and server down issue is also discussed.
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
in cloud computing data storage is a significant issue
because the entire data reside over a set of interconnected
resource pools that enables the data to be accessed through
virtual machines. It moves the application software’s and
databases to the large data centers where the management of
data is actually done. As the resource pools are situated over
various corners of the world, the management of data and
services may not be fully trustworthy. So, there are various
issues that need to be addressed with respect to the
management of data, service of data, privacy of data, security
of data etc. But the privacy and security of data is highly
challenging. To ensure privacy and security of data-at-rest in
cloud computing, we have proposed an effective and a novel
approach to ensure data security in cloud computing by means
of hiding data within images following is the concept of
steganography. The main objective of this paper is to prevent
data access from cloud data storage centers by unauthorized
users. This scheme perfectly stores data at cloud data storage
centers and retrieves data from it when it is needed.
Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
Cooperative Schedule Data Possession for Integrity Verification in Multi-Clou...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Review and Classification of Cloud Computing Researchiosrjce
IOSR journal of VLSI and Signal Processing (IOSRJVSP) is a double blind peer reviewed International Journal that publishes articles which contribute new results in all areas of VLSI Design & Signal Processing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced VLSI Design & Signal Processing concepts and establishing new collaborations in these areas.
Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels
Efficient and scalable multitenant placement approach for in memory database ...CSITiaesprime
Of late Multitenant model with In-Memory database has become prominent area for research. The paper has used advantages of multitenancy to reduce the cost for hardware, labor and make availability of storage by sharing database memory and file execution. The purpose of this paper is to give overview of proposed Supple architecture for implementing in-memory database backend and multitenancy, applicable in public and private cloud settings. Backend in memory database uses column-oriented approach with dictionary based compression technique. We used dedicated sample benchmark for the workload processing and also adopt the SLA penalty model. In particular, we present two approximation algorithms, multi-tenant placement (MTP) and best-fit greedy to show the quality of tenant placement. The experimental results show that MTP algorithm is scalable and efficient in comparison with best-fit greedy algorithm over proposed architecture.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
SURVEY ON KEY AGGREGATE CRYPTOSYSTEM FOR SCALABLE DATA SHARINGEditor IJMTER
Public-key cryptosystems produce constant-size cipher texts with efficient delegation
of decryption rights for any set of cipher texts. One can aggregate any set of secret keys and make
them as compact as a single key. The secret key holder can release a constant-size aggregate key for
flexible choices of cipher text set in cloud storage. In KAC, users encrypt a message not only under a
public-key, but also under an identifier of cipher text called class. That means the cipher texts are
further categorized into different classes. The key owner holds a master-secret called master-secret
key, which can be used to extract secret keys for different classes. More importantly, the extracted
key have can be an aggregate key which is as compact as a secret key for a single class, but
aggregates the power of many such keys, i.e., the decryption power for any subset of cipher text
classes. The key aggregate cryptosystem is enhanced with boundary less cipher text classes. The
system is improved with device independent key distribution mechanism. The key distribution
process is enhanced with security features to protect key leakage. The key parameter transmission
process is integrated with the cipher text download process.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
1. IOSR Journal of Computer Engineering (IOSR-JCE)
e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 1, Ver. IV (Jan – Feb. 2015), PP 60-64
www.iosrjournals.org
DOI: 10.9790/0661-17146064 ww.iosrjournals.org 60 | Page
Cloud Storage: Focusing On Back End Storage Architecture
Sarishma, Kartik Mishra
CSEwithspecialization inCloud Computing and Virtualization Technology (2012-2016)
UniversityofPetroleum&EnergyStudies, Dehradun,India
Abstract: In the modern era of mobile and cloud computing, people are becoming more and more dependent on
digital devices. In order to execute any application, a certain amount of storage space is mandatory which is to be
used by the application as its own warehouse to store its data.While designing any storage architecture, we have
data as the centre of attraction around which whole of our application design revolves.Cloud storage is a hot topic
nowadays as the data storage capacity rates are increasing manifold’s every year and has thus become a reality
that all data centers and organizations should consider. This huge amount of data, thus poses a challenge for the
construction of a good well defined, fault prone back end storage.This paper representsthe different available
architectures that are used in storage technology foundation. Beginning with a conceptual overview of the SNIA
reference model for cloud storage,the key concepts of cloud and other technologies which form a base for cloud
storage are discussed. Followed by this, the three standard architectures related to cloud storage are discussed
which are basicallyStorage Area Network (SAN), Direct Attached Storage (DAS) and Network Attached
Storage(NAS). The paper concludes by pinpointing the future research and open challenges related to cloud
storage.
Keywords: Mobile Computing, Storage architecture, Cloud Storage, SNIA.
I. Introduction
Since a decade ago, the wide demand of increase in storage capabilities of devices aroused the need of
well-formed storage architectures to meet the voracious storage demands. Earlier users used to buy their own
hardware to store and carry their personal data. Slowly but unceasingly the amount of data which different
users produced increased and so did the demand of storage mediums. Data can be considered as a pool of raw
facts and figures which can be combined together to create a logical meaning. Depending upon the storage and
managing medium of data, it can be classified into two categories, structured data and unstructured data. As
the name suggest, structured data is stored in the form structures i.e. rows and columns which makes it much
easier for retrieval as well as for access. On the other hand, unstructured data is the one which cannot be stored
in the form of structures i.e. rows and columns and therefore, retrieval and access to unstructured data becomes
pretty much difficult. Statistically speaking, about 80% of the data stored on cloud is unstructured which
makes it difficult to use.
With the advent of cloud computing, users are facilitated with the view of unlimited storage space
being available to them on pay per use basis. Individual users generate more data in the form of digital content
such as audio, video, images, mp3, documents etc. as compared to the data generated by business enterprises.
People leverage the availability of storage mediums to such an extent that they can move anywhere around the
world with their own personal huge amount of data. They can communicate with people across the globe and
share data with the geographically apart areas. This communication and sharing when viewed from an external
perspective is quite simple but coming to the technicalities it becomes pretty hard to handle such a large
amount of stored content. When it comes to transfer and sharing of data while deploying cloud services, it
becomes important to manage every process efficiently. The segregation among data, security checks, latency,
cost etc. are the factors which influence the cloud services related to storage. Uploading this data on cloud
servers is done via network and it therefore becomes very important to focus on what kind of storage
architecture a particular cloud service provider is using. There are a large number of available architectures for
cloud storage but we are presenting the most viable, suitable and accepted architectures which are SAN, NAS
and DAS. SAN is acronym for Storage Attached Network that provides access to consolidated, block level
data storage. NAS stands for Network Attached Storage and is a file-level computer data storage server
connected to a computer network providing data access to a heterogeneous group of clients. DAS is a directly
attached storage in the form of hard disk drives connected through a Host Bus Adapter (HBA).
Rest of the paper is organized as: Section 2 explains the fundamentals or background related to cloud
assisted storage mechanisms. Section 3 explains the SNIA reference model for cloud storage accompanied
with a well-definedself-explanatoryreference diagram. Section 4 presents the selected architectures which lay
the foundation of cloud storage which are followed bythree types of architectures i.e. SAN, NAS and DAS.
The future research and open challenges related to cloud storage are presented in the section 5. The last section
i.e. section 6 concludes our paper.
2. Cloud Storage: Focusing On Back End Storage Architecture
DOI: 10.9790/0661-17146064 ww.iosrjournals.org 61 | Page
II. Background
Before going deep in cloud storage architecture and other technologies, we need to know about the basic
background of some of the topics related to cloud computing. Proposal of storing data on cloud servers and use
of virtualization techniques gave rise to the rapid emergence of cloud storage. Fundamentals of cloud
computing concepts and their relation with the storage architecture are discussed below:
2.1 delivery Models:
1. Infrastructure as a Service (IaaS): This model provides access to virtualized infrastructure which acts as the
basic hardware to store data on cloud. IaaS model provides virtual server space, memory, connections,
bandwidth, load balancers etc. as a service to the end users. It can be considered as the base layer for storage
space as all of the hardware needed for storing data is provided by IaaS i.e. it can be taken as a back end
hardware providing model for cloud storage.
2. Platform as a Service (PaaS): IaaS provides the CSP’s (cloud service providers) with virtualized bare hardware
and platform is then needed to manage and perform other operations on the hardware. PaaS provides platform
as a service which can be considered as a storage logic for the cloud storage. This model is responsible for
managing, isolating, distributing and using data stored in virtualized hardware.
3. Software as a Service (SaaS): Infrastructure as well as platform on cloud is made available to end users by
using SaaS whose basic functionality is to provide software as a service. The interfacing and other methods for
user ease are presented in form of software under SaaS and henceSaaS can be considered as provider of front
end for cloud storage.
2.2 Deployment models:
1. Public Cloud: The services available under public cloud are freely accessible by all on pay per usage basis.
Cloud storage for all users is shared, although strict segregation is maintained between data of different users.
2. Private Cloud: The services available under private cloud are used by the users of an organization or of a closed
network who own that private cloud. These services are not freely accessible by general public. The data stored
on private cloud is thus more safe, secure and isolated. Moreover there is less chance of security breach when it
comes to private cloud as the infrastructure is safe and is accessible to authorized users only.
3. Hybrid Cloud: Hybrid cloud can be considered as a combination of public and private cloud. The users can use
their private cloud to store some secure data and can use public cloud at times when they need more
functionality. For instance, when cloud storage limit is reached for some scenario for private cloud, at that time
we can use public cloud to share the load. Critical data can be stored on private cloud and non critical data can
be stored on public cloud.
III. SNIA Reference Model
The demand of cloud storage has increased drastically because of its astounding features like
elasticity, pay per usage, management, view of unlimited storage, ease of use etc. Consequently, it becomes
considerable to create a user interface for cloud storage which can support these qualities along with the
providing an ability to stand up in future perspectives by competing with the latest trends. A reference model
for cloud storage can be used to depict the different available interfaces for cloud storage which can support
both the legacy as well as new futuristic applications. One such standard model proposed by Storage
Networking Industry Association is discussed here, commonly referred as SNIA reference model. All of the
interfaces interact with the end user and on the basis of user demand; it fetches the resources from the
infrastructure pool. As depicted in the figure, CDMI (Cloud Data Management Interface) is an interface which
will be used by different applications to manage, retrieve, create, remove and edit the user’s data. The true
potential of the hardware, storage logic and services can be determined by evaluating and observing such
interfaces. In the centre, data storage cloud comprises of both the soft as well as hard data container which are
used for storing the data. The cloud data management component, information services, data and storage
services are used for managing the different types of demands which perform these functions by utilizing
CDMI. The users can operate on cloud storage services by using a number of interfaces such as object storage
client, XAM client, database or table client, file system client, block storage client etc. The rest of the figure is
pretty much self explanatory.
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Figure 1: SNIA Reference Model [5]
IV. Architecture
The three basic types of storage are Storage Attached Network (SAN), Network Attached Storage (NAS)
and Direct Attached Storage (DAS). All the three technologies have evolved over years and technological
advancement in the field of storage lead to other technologies. In simple words DAS lead to NAS which in turn
lead to SAN. All the three storage are described below.
4.1 SAN:
A storage area network (SAN) provides access to consolidated, block level data storage that is accessible
by the application running on any of the networked server. It carries data between servers (hosts) and storage
devices through fibre channel switches. A SAN helps in aiding organizations to connect geographically isolated
hosts and provide robust communication between hosts and storage devices. A SAN works on its own storage
devices that are not reachable through the local area network by other devices and organization often choose SAN
because of its features such as more flexibility, availability and performance than the other networked
architectures.
4.2 Components of SAN:
A SAN is typically assembled using three principle components: cabling, host bus adapters (HBA) and
switches. Cabling is the physical medium which is used to for establishing a link between every SAN device by
using transmission mediums like copper or optical fibre based on distance requirement of the organization.HBA or
Host Bus Adapter is an expansion card that fits into expansion slot in a server. HBA naturally offloads data storage
and retrieval overhead from the local processer which results in improving server performance. Switch is used to
handle and direct traffic between different network devices. It accepts traffic and then transmits the traffic to the
desired endpoint device. In a SAN, each storage server and storage device is linked through a switch which
includes SAN features like storage virtualization, quality of service, security and remote sensing etc.
4.1.2 Management of SAN:
Management is a vital part of SAN operation and is carried out by using out a tool referred as SRM.
Storage resource management (SRM) applications are used to check and manage physical and logical SAN
resources. Physical storage resources include the basic hardware like the RAID systems,storage arrays,magnetic
tape libraries devices and FC switches, whereas logical storage structure involve the basic file systems and
application-oriented storage fundamentals. Ideally, a centralized SRM tool should be able to detect storage
resources, estimating their capacity and configuration, and computing the performance. The SRM tool should also
be able to impact changes to the configuration and support reliable policies across the various storage technologies
being managed.
4.3 NAS:
Network-attached storage or NAS is a file-level computer data storage server connected to a network and
providing data accessibility to a diverse group of clients. NAS is specialized for the task assigned to it either by its
hardware, software or by both and provides the advantage of server consolidation by removing the need of having
multiple file servers.NAS also uses its own OS which works on its own peripheral devices. A NAS operating
systems is optimized for file I/O and, therefore performs file I/O better than a primitive server. It also uses different
protocols like TCP/IP, CIFS and NFS which are basically used for data transfer and for accessing remote file
service.
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4.3.1 Components of NAS:
A NAS device can be divided into components which are named as :
1. NAS head which is basically a CPU and a memory.
2. More than one Network Interface Cards (NIC’s).
3. Optimized Operating System.
4. Protocols for file sharing (NFS or CIFS).
5. Protocols to connect and manage storage devices like ATA, SCSI, or FC.
4.2.2 Implementing NAS:
NAS can be implemented in two ways, either byintegrated implementation or by gateway
implementation.
An integrated implementation is the one which has all of its component and storage system in a single
enclosure.It has all components of NAS, like head and storage enclosed together making it a self-contained
environment. In this a NAS head connects to the IP network, providing connectivity to clients and services like file
I/O request. Storage management can consist of low range ATA to high-throughput FC disk drives and is managed
by the management software.On the other hand, in gateway implementation NAS head shares its storage with SAN
environment. It consist of independent NAS head and more than one or more storage arrays. Head performs the
same function while storage is shared with other application requiring block-level I/O.Managing these is a more
complex task as there are separate administrative tasks for head and storage. It also uses and utilizes the FC
infrastructure like switches, directors or DAS.This type of NAS is most scalable as head and storage can be
independently scaled up whenever it is required enabling high utilization of storage capacity by sharing it with
SAN.
4.4 DAS:
DAS stands for Direct Attached Storage and as the name suggests, it is an architecture where storage
connects directly to hosts. DAS is ideal for localized data access and sharing in environment where small server are
located for instance, small businesses, departments etc. Block-level access protocols are used to access data
through applications and it can also be used in combination with SAN and NAS. Based on the location of storage
devices with respect to host, DAS can be classified as external or internal.In Internal DAS,the storage device is
internally connected to the host by serial or parallel buses. Most internal buses have distance limitations and can
only be used for short distance connectivity and can also connect only a limited number of devices.Moreover, they
also hamper maintenance as they occupy large amount of space inside the server.Whereasin internal DAS the
server connects directly to the external storage devices. SCSI or FC protocol are used to communicate between
host and storage devices. It overcomes the limitation of internal DAS and overcome the distance and device count
limitations and also provides central administration of storage devices.
4.3.2 . Why and why not to go for DAS?
There are many considerations which need to be focused upon while considering DAS. Whether to go for DAS or
not is a challenging question. Following are some points which shortlist some factors and by considering these
factors one can decide whether he should go for DAS or not.
4.3.2.1 Why to go for DAS:
1. It requires low investment than other networking architectures.
2. Less hardware and software are needed to setup and operate DAS.
3. Configuration is simple and can be deployed easily.
4. Managing DAS is easy as host based tools such as host OS are used.
4.3.2.2 Why not to go for DAS:
1. Major limitation of DAS is that it doesn’t scale up well and it restricts the number of hosts that can be directly
connected to the storage.
2. Limited bandwidth in DAS hampers the available I/O processing capability and when capability is reached,
service availability may be compromised.
3. It doesn’t make use of optimal use of resources due to its lack of ability to share front end ports.
V. Future Work
1. Isolation: Isolation is maintained between data of different users in cloud storage but despite of many efforts,
there are cases when this isolation is compromised leading to personal loss of the user. Creating a mechanism
for achieving zero isolation among different user data is a challenge for researchers.
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2. Security breaches: Providing ids and passwords, cross checks on login of user accounts, authentication etc. is
done nowadays to seek proper identification of users. After all this, cloud storage is still an open platform for
online security breaches where information like bank account number, bills and other data can be easily
compromised. Creating tools which can reduce such breaches is still a challenge.
3. Back-up and disaster recovery: Large scale catastrophic loss caused by events such as server failure etc. can
lead to interference or complete loss of the user’s personal data and considering this on large scale, a very high
number of users can get affected in absence of backup data centres. Maintaining back up for disaster recovery
is something which many cloud providers don’t prefer. This puts a risk of loss or interference of user data.
4. Malicious insider: Any malicious user can easily implant his malicious code in other user’s VM thereby
providing him with access to data of other users. In cloud, virtualized infrastructure is used which makes this
process more comforting for malicious insiders.
5. Some more issues like control over data, interoperability, increase in performance, decrease in cost, anywhere
access etc. are still open for research and future developments.
VI. Conclusion
From the time of evolution of cloud storage, it is designed in such a way so as to deliver functionalities
like high scalability, low cost, easy management etc. Cloud storage does not merely focus on delivering high
performance output. The performance and other factors of cloud storage depend largely on the infrastructure used
and it lays the foundation for any type of storage. Our paper focuses on the back end cloud storage architectures
(when it comes to cloud storage considering networks). It covers the fundamentals concepts related to cloud
computing and their relation with cloud storage, after which SNIA reference model is discussed. Followed by this
we have given a conceptual overview of SAN, NAS and DAS with concept implementation. The paper concludes
by pinpointing the future research challenges.
Acknowledgment
The author would love to acknowledge our professors and friends for imparting helpful comments. The standard
disclaimer applies.
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