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 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.
The concept of Genetic algorithm is specifically useful in load balancing for best virtual
machines distribution across servers. In this paper, we focus on load balancing and also on
efficient use of resources to reduce the energy consumption without degrading cloud
performance. Cloud computing is an on demand service in which shared resources, information,
software and other devices are provided according to the clients requirement at specific time. It‟s
a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud.
Capital and operational costs can be cut using cloud computing. Cloud computing is defined as a
large scale distributed computing paradigm that is driven by economics of scale in which a pool
of abstracted virtualized dynamically scalable , managed computing power ,storage , platforms
and services are delivered on demand to external customer over the internet. cloud computing is
a recent field in the computational intelligence techniques which aims at surmounting the
computational complexity and provides dynamically services using very large scalable and
virtualized resources over the Internet. It is defined as a distributed system containing a
collection of computing and communication resources located in distributed data enters which
are shared by several end users. It has widely been adopted by the industry, though there are
many existing issues like Load Balancing, Virtual Machine Migration, Server Consolidation,
Energy Management, etc.
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.
CLOUD COMPUTING: SECURITY ISSUES AND CHALLENGESP singh
Cloud storage is defined as "the storage of data online in the cloud," wherein a company's data is stored in and accessible from multiple distributed and connected resources that comprise a cloud. Although cloud service providers implement the best security standards and industry certifications, storing data and important files on external service providers always opens up risks. Using cloud-powered technologies means you need to provide your service provider with access to important business data. Meanwhile, being a public service opens up cloud service providers to security challenges on a routine basis. The ease in procuring and accessing cloud services can also give nefarious users the ability to scan, identify and exploit loopholes and vulnerabilities within a system. For instance, in a multi-tenant cloud architecture where multiple users are hosted on the same server, a hacker might try to break into the data of other users hosted and stored on the same server. The following paper deals with the service models of cloud computing along with types of cloud computing & characteristics of cloud. Further challenges and security issues in cloud computing is also discussed and at last conclusion and future demand for research in the field of cloud computing.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A detailed study of cloud computing is presented. Starting from its basics, the characteristics and different modalities
are dwelt upon. Apart from this, the pros and cons of cloud computing is also highlighted. Apart from this, service
models of cloud computing are lucidly highlighted.
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.
The concept of Genetic algorithm is specifically useful in load balancing for best virtual
machines distribution across servers. In this paper, we focus on load balancing and also on
efficient use of resources to reduce the energy consumption without degrading cloud
performance. Cloud computing is an on demand service in which shared resources, information,
software and other devices are provided according to the clients requirement at specific time. It‟s
a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud.
Capital and operational costs can be cut using cloud computing. Cloud computing is defined as a
large scale distributed computing paradigm that is driven by economics of scale in which a pool
of abstracted virtualized dynamically scalable , managed computing power ,storage , platforms
and services are delivered on demand to external customer over the internet. cloud computing is
a recent field in the computational intelligence techniques which aims at surmounting the
computational complexity and provides dynamically services using very large scalable and
virtualized resources over the Internet. It is defined as a distributed system containing a
collection of computing and communication resources located in distributed data enters which
are shared by several end users. It has widely been adopted by the industry, though there are
many existing issues like Load Balancing, Virtual Machine Migration, Server Consolidation,
Energy Management, etc.
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.
CLOUD COMPUTING: SECURITY ISSUES AND CHALLENGESP singh
Cloud storage is defined as "the storage of data online in the cloud," wherein a company's data is stored in and accessible from multiple distributed and connected resources that comprise a cloud. Although cloud service providers implement the best security standards and industry certifications, storing data and important files on external service providers always opens up risks. Using cloud-powered technologies means you need to provide your service provider with access to important business data. Meanwhile, being a public service opens up cloud service providers to security challenges on a routine basis. The ease in procuring and accessing cloud services can also give nefarious users the ability to scan, identify and exploit loopholes and vulnerabilities within a system. For instance, in a multi-tenant cloud architecture where multiple users are hosted on the same server, a hacker might try to break into the data of other users hosted and stored on the same server. The following paper deals with the service models of cloud computing along with types of cloud computing & characteristics of cloud. Further challenges and security issues in cloud computing is also discussed and at last conclusion and future demand for research in the field of cloud computing.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A detailed study of cloud computing is presented. Starting from its basics, the characteristics and different modalities
are dwelt upon. Apart from this, the pros and cons of cloud computing is also highlighted. Apart from this, service
models of cloud computing are lucidly highlighted.
Swiftly increasing demand of computational
calculations in the process of business, transferring of files
under certain protocols and data centers force to develop an
emerging technology cater to the services for computational
need, highly manageable and secure storage. To fulfill these
technological desires cloud computing is the best answer by
introducing various sorts of service platforms in high
computational environment. Cloud computing is the most
recent paradigm promising to turn around the vision of
“computing utilities” into reality. The term “cloud
computing” is relatively new, there is no universal agreement
on this definition. In this paper, we go through with different
area of expertise of research and novelty in cloud computing
domain and its usefulness in the genre of management. Even
though the cloud computing provides many distinguished
features, it still has certain sorts of short comings amidst with
comparatively high cost for both private and public clouds. It
is the way of congregating amasses of information and
resources stored in personal computers and other gadgets
and further putting them on the public cloud for serving
users. Resource management in a cloud environment is a
hard problem, due to the scale of modern data centers, their
interdependencies along with the range of objectives of the
different actors in a cloud ecosystem. Cloud computing is
turning to be one of the most explosively expanding
technologies in the computing industry in this era. It
authorizes the users to transfer their data and computation to
remote location with minimal impact on system performance.
With the evolution of virtualization technology, cloud
computing has been emerged to be distributed systematically
or strategically on full basis. The idea of cloud computing has
not only restored the field of distributed systems but also
fundamentally changed how business utilizes computing
today. Resource management in cloud computing is in fact a
typical problem which is due to the scale of modern data
centers, the variety of resource types and their inter
dependencies, unpredictability of load along with the range of
objectives of the different actors in a cloud ecosystem.
Current services in cloud computing a surveyijcseit
Due to the fast development of the Cloud Computing technologies, the rapid increase of cloud services
are became very remarkable. The fact of integration of these services with many of the modern
enterprises cannot be ignored. Microsoft, Google, Amazon, SalesForce.com and the other leading IT
companies are entered the field of developing these services. This paper presents a comprehensive survey
of current cloud services, which are divided into eleven categories. Also the most famous providers for
these services are listed. Finally, the Deployment Models of Cloud Computing are mentioned and briefly
discussed.
A SURVEY ON RESOURCE ALLOCATION IN CLOUD COMPUTINGijccsa
Cloud computing is an on-demand service resource which includes applications to data centers on a
pay-per-use basis. In order to allocate these resources properly and satisfy users’ demands, an efficient
and flexible resource allocation mechanism is needed. Due to increasing user demand, the resource
allocating process has become more challenging and difficult. One of the main focuses of research
scholars is how to develop optimal solutions for this process. In this paper, a literature review on proposed
dynamic resource allocation techniques is introduced.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Performance Enhancement of Cloud Computing using ClusteringEditor IJMTER
Cloud computing is an emerging infrastructure paradigm that allows efficient maintenance
of cloud with efficient uses of servers. Virtualization is a key element in cloud environment as it
provides distribution of computing resources. This distribution results in cost and energy reduction,
thus making efficient utilization of physical resources. Thus resource sharing and use of
virtualization allows improved performance for demanding scientific computing workloads. Number
of data centers and physical servers are underutilized so they are used inefficiently. So performance
evaluation and its enhancement in virtualized environment like public and private cloud are the
challenging issues. Performance of cloud environment is dependent on CPU & memory utilization,
Network and I/O disk operations. In order to improve the performance of the virtualization with
cloud computing, one of the solutions is to allow highly available data in the cluster form. Thus
replicas are available at each data centers and are highly available. In the proposed work, the I/O
parameters are chosen for increasing the performance in this domain. This enhancement can be
achieved through the clustering and caching technologies. The use of technology for data centers
clustering is proposed in this paper. Thus performance and scalability can be improved by reducing
the number of hits to the cloud database.
Understanding Cloud Computing, It's Services, Benefits, And Challengestheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.
The International Journal of Engineering & Science would take much care in making your article published without much delay with your kind cooperation.
The existing concept of virtualization provides increased system utilization via virtual infrastructure and promotes resource
sharing across an organization. To maximize the effective use of resources, cloud computing is used which uses service oriented architecture
infrastructure with on demand provisioning of software, platform and infrastructure as service. Dynamic service management is achieved by
implementing the cloud where dynamically scalable resources are provided as a service over the internet. This can be viewed as an
extension of grid computing, combined with utility computing and autonomic computing which helps an organization in converting the
capital expenditure into utility expenditure. This paper focuses on the basics of cloud computing technology.
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's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
Basic Cloud Computing and underlying technology, Hypervisor, Cloud Services, Cloud Deployment Models, AWS, REST APIs, Cloud Investment Trends, Cloud Investments, Cloud Value chain and lot of terms and references for further reading.
The 2014 Future of Cloud Computing Survey was conducted in partnership with 72 Collaborators. The survey is the most widely endorsed survey of its kind in the industry. To tweet individual slides, please note the banner on the upper right hand corner of each page. Visit the Blog on http://mjskok.com/resource/2014-future-cloud-computing-4th-annual-survey-results and follow us @futureofcloud #futureofcloud to join the conversation.
Swiftly increasing demand of computational
calculations in the process of business, transferring of files
under certain protocols and data centers force to develop an
emerging technology cater to the services for computational
need, highly manageable and secure storage. To fulfill these
technological desires cloud computing is the best answer by
introducing various sorts of service platforms in high
computational environment. Cloud computing is the most
recent paradigm promising to turn around the vision of
“computing utilities” into reality. The term “cloud
computing” is relatively new, there is no universal agreement
on this definition. In this paper, we go through with different
area of expertise of research and novelty in cloud computing
domain and its usefulness in the genre of management. Even
though the cloud computing provides many distinguished
features, it still has certain sorts of short comings amidst with
comparatively high cost for both private and public clouds. It
is the way of congregating amasses of information and
resources stored in personal computers and other gadgets
and further putting them on the public cloud for serving
users. Resource management in a cloud environment is a
hard problem, due to the scale of modern data centers, their
interdependencies along with the range of objectives of the
different actors in a cloud ecosystem. Cloud computing is
turning to be one of the most explosively expanding
technologies in the computing industry in this era. It
authorizes the users to transfer their data and computation to
remote location with minimal impact on system performance.
With the evolution of virtualization technology, cloud
computing has been emerged to be distributed systematically
or strategically on full basis. The idea of cloud computing has
not only restored the field of distributed systems but also
fundamentally changed how business utilizes computing
today. Resource management in cloud computing is in fact a
typical problem which is due to the scale of modern data
centers, the variety of resource types and their inter
dependencies, unpredictability of load along with the range of
objectives of the different actors in a cloud ecosystem.
Current services in cloud computing a surveyijcseit
Due to the fast development of the Cloud Computing technologies, the rapid increase of cloud services
are became very remarkable. The fact of integration of these services with many of the modern
enterprises cannot be ignored. Microsoft, Google, Amazon, SalesForce.com and the other leading IT
companies are entered the field of developing these services. This paper presents a comprehensive survey
of current cloud services, which are divided into eleven categories. Also the most famous providers for
these services are listed. Finally, the Deployment Models of Cloud Computing are mentioned and briefly
discussed.
A SURVEY ON RESOURCE ALLOCATION IN CLOUD COMPUTINGijccsa
Cloud computing is an on-demand service resource which includes applications to data centers on a
pay-per-use basis. In order to allocate these resources properly and satisfy users’ demands, an efficient
and flexible resource allocation mechanism is needed. Due to increasing user demand, the resource
allocating process has become more challenging and difficult. One of the main focuses of research
scholars is how to develop optimal solutions for this process. In this paper, a literature review on proposed
dynamic resource allocation techniques is introduced.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Performance Enhancement of Cloud Computing using ClusteringEditor IJMTER
Cloud computing is an emerging infrastructure paradigm that allows efficient maintenance
of cloud with efficient uses of servers. Virtualization is a key element in cloud environment as it
provides distribution of computing resources. This distribution results in cost and energy reduction,
thus making efficient utilization of physical resources. Thus resource sharing and use of
virtualization allows improved performance for demanding scientific computing workloads. Number
of data centers and physical servers are underutilized so they are used inefficiently. So performance
evaluation and its enhancement in virtualized environment like public and private cloud are the
challenging issues. Performance of cloud environment is dependent on CPU & memory utilization,
Network and I/O disk operations. In order to improve the performance of the virtualization with
cloud computing, one of the solutions is to allow highly available data in the cluster form. Thus
replicas are available at each data centers and are highly available. In the proposed work, the I/O
parameters are chosen for increasing the performance in this domain. This enhancement can be
achieved through the clustering and caching technologies. The use of technology for data centers
clustering is proposed in this paper. Thus performance and scalability can be improved by reducing
the number of hits to the cloud database.
Understanding Cloud Computing, It's Services, Benefits, And Challengestheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.
The International Journal of Engineering & Science would take much care in making your article published without much delay with your kind cooperation.
The existing concept of virtualization provides increased system utilization via virtual infrastructure and promotes resource
sharing across an organization. To maximize the effective use of resources, cloud computing is used which uses service oriented architecture
infrastructure with on demand provisioning of software, platform and infrastructure as service. Dynamic service management is achieved by
implementing the cloud where dynamically scalable resources are provided as a service over the internet. This can be viewed as an
extension of grid computing, combined with utility computing and autonomic computing which helps an organization in converting the
capital expenditure into utility expenditure. This paper focuses on the basics of cloud computing technology.
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's a simple presentation I did it with my friend Khawlah Al-Mazyd last year as a one topic should we cover it through doing Advanced Network course.
2010 - King Saud Universty
Riyadh - Saudi Arabia
Basic Cloud Computing and underlying technology, Hypervisor, Cloud Services, Cloud Deployment Models, AWS, REST APIs, Cloud Investment Trends, Cloud Investments, Cloud Value chain and lot of terms and references for further reading.
The 2014 Future of Cloud Computing Survey was conducted in partnership with 72 Collaborators. The survey is the most widely endorsed survey of its kind in the industry. To tweet individual slides, please note the banner on the upper right hand corner of each page. Visit the Blog on http://mjskok.com/resource/2014-future-cloud-computing-4th-annual-survey-results and follow us @futureofcloud #futureofcloud to join the conversation.
2015 North Bridge Future of Cloud Computing Study, with Wikibon |Broadest exploration of cloud trends, cloud migration & evolution of the cloud computing sector. Survey participation was the largest to date and included responses from 38 countries. 50 collaborators supported the 5th Annual Future of Cloud Computing study, which reveals that cloud has become an accepted and integral technology. Furthermore, the study shows that despite deployment gaps among clouds, we should expect a future powered by hybrid cloud technologies. The question of whether companies are using the cloud has morphed to how deeply cloud adoption is integrated within the business. From the bottom to the top, all products and services will in some way be powered by the cloud making the promise of goods and services that have the potential to be better tomorrow than today. IT departments have reclaimed the reins on driving company technology strategy and cloud adoption as roles, skills and processes have shifted. Importantly, We’re also seeing the emergence of the cloud as the only way businesses can truly get more out of their data including analyzing and executing on it real-time. On the investment front, 2015 could tip the scale from private to public capital for SaaS companies.
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.
International Journal of Computer Science, Engineering and Information Techno...ijcseit
Due to the fast development of the Cloud Computing technologies, the rapid increase of cloud services
are became very remarkable. The fact of integration of these services with many of the modern
enterprises cannot be ignored. Microsoft, Google, Amazon, SalesForce.com and the other leading IT
companies are entered the field of developing these services. This paper presents a comprehensive survey
of current cloud services, which are divided into eleven categories. Also the most famous providers for
these services are listed. Finally, the Deployment Models of Cloud Computing are mentioned and briefly
discussed
CURRENT SERVICES IN CLOUD COMPUTING: A SURVEYijcseit
Due to the fast development of the Cloud Computing technologies, the rapid increase of cloud services
are became very remarkable. The fact of integration of these services with many of the modern
enterprises cannot be ignored. Microsoft, Google, Amazon, SalesForce.com and the other leading IT
companies are entered the field of developing these services. This paper presents a comprehensive survey
of current cloud services, which are divided into eleven categories. Also the most famous providers for
these services are listed. Finally, the Deployment Models of Cloud Computing are mentioned and briefly
discussed.
Fault Tolerance in AWS Distributed Cloud ComputingCaner KAYA
Abstract— The cloud computing enable information technologies solutions by using the visual machines to provide resource-sharing and using on demand basis; so within this complex, this area is becoming more attractive for researching. Upon the rapid development of these technologies, the fault tolerance of cloud computing has become one of the most important topic for information technologies. This requirement has become forefront since, this system needs reliability and must be ready all the time. This case-study, review the techniques that protect the cloud computing and user systems from process fault. One of the indications is as shown below, that, the cloud computing is prone to create faults. The main goals of the fault tolerance are to protect financial loses, to achieve the restoration of the system. The case study has review the scenario that the fault, repetitions could be solved by checkpoints and back-ups. The Amazon AWS is shown asan example for the fault-tolerance.
Keywords- Cloud Computing; Fault Tolerance; Dependability ; Availability ; Redundancy; Human Factor: Replication ;Amazon Web Services.
An Efficient MDC based Set Partitioned Embedded Block Image CodingDr. Amarjeet Singh
In this paper, fast, efficient, simple and widely used
Set Partitioned Embedded bloCK based coding is done on
Multiple Descriptions of transformed image. The maximum
potential of this type of coding can be exploited with discrete
wavelet transform (DWT) of images. Two correlated
descriptions are generated from a wavelet transformed image
to ensure meaningful transmission of the image over noise
prone wireless channels. These correlated descriptions are
encoded by set partitioning technique through SPECK coders
and transmitted over wireless channels. Quality of
reconstructed image at the decoder side depends upon the
number of descriptions received. More the number of
descriptions received at output side, more enhance the quality
of reconstructed image. However, if any of the multiple
description is lost, the receive can estimate it exploiting the
correlation between the descriptions. The simulations
performed on an image on MATLAB gives decent
performance and results even after half of the descriptions is
lost in transmission.
Cloud Computing: Business Trends and the Challengesidescitation
The purpose of this paper is to provide information
to businesses interested in cloud computing. First we define
cloud computing and discuss the different service and
deployment models from a business standpoint. Then we move
into business cases for the cloud and the strengths of each
service and deployment model. We follow this up with business
attributes that tend to drive a cloud adaption and the effects of
cloud on business IT. The last section reveals the challenges
of cloud computing ranging from security concerns and legal
issues, to negotiation of an adequate service level agreement.
Security Requirements and Security Threats In Layers Cloud and Security Issue...Editor IJCATR
Euacalyptus, OpenNebula and Nimbus are three major open-source cloud-computing software platforms. The overall
function of these systems is to manage the provisioning of virtual machines for a cloud providing infrastructure-as-a-service. These
various open-source projects provide an important alternative for those who do not wish to use a commercially provide cloud. This is a
fundamental concept in cloud computing, providing resources to deliver infrastructure as a service cloud customers, making users have
to buy and maintain computing resources and storage. In other hand, cloud service providers to provide better resources and facilities
customers need to know they are using cloud infrastructure services. In this end, we intend to security threats in the cloud layer and
then to analyse the security services in cloud computing infrastructure as a service to pay
Knowledge management and information systemnihad341
this file would help you in writing your assignment on knowledge management and information system. I did this for a student of UK. He got a very satisfactory marks from it. Then i thought that why not help others. The course is a complex one. So, this would be my pleasure if someone really found this useful.
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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.
What is Cloud Computing and, How does the cloud work?
Cloud Computing
This article is intended to discuss cloud computing, cloud computing basics, how does cloud computing work, cloud services, and what is cloud computing? Study of cloud computing and job opportunities after completing cloud computing course.
What is Cloud Computing and, How does the cloud work?
The term “cloud” is used as a substitute for the “internet”. Cloud computing points to any hardware or software like networks, software, analytics, servers, storage, databases, and intelligence provided over the internet (cloud) by any service provider.
Data, software, and source codes are often stored on hard drives, which is quite risky since difficult situations may arise such as hard disk crashes, data corruption, and eventual loss of the entire resources to work with. A cloud computing service provides various server, software, storage, and application services over the Internet so that they should be safe. They can be configured to handle any size of access or traffic and can scale up and down according to the volume and, frequency of requirement. Thus cloud computing is the delivery of different services through the Internet including different servers, software, storage, and applications. In other words, using cloud computing, customers can access software, infrastructure, platforms, devices, and other resources over the internet.
Customers can easily utilize these services available in the cloud without any prior knowledge of how to manage the resources involved.
Large companies such as Google, Amazon, IBM, Sun, Cisco, Dell, HP, Intel, Novell, and Oracle are investing in cloud computing to provide individuals and businesses with a variety of cloud-based solutions.
For example, Google Cloud is a collection of public cloud services provided by Google. All Application development is done on Google hardware. These include Google Compute Engine, App Engine, Google Cloud Storage, and Google Container Engine.
Cloud storage utilizes data centers with massive computer servers that store data and access it online through the internet. The users can remotely upload and store their content and retrieve it whenever they need it.
Advantages of cloud computing.
Businesses around the world are moving away from traditional on-premises services as cloud computing becomes more popular. In recent years, cloud-based services have radically changed the way businesses do business, enabling them to use information technology infrastructures, platforms, software, and applications via the Internet.
Users can devote more time and effort to their main business processes instead of spending their time learning about the resources they need to manage.
Cloud computing allows users to avoid significant capital investments because they can rent physical infrastructure from third-party providers.
Cloud computing infrastructure services leverage shared resources, allowing servers to work efficiently withou
Cloud computing challenges with emphasis on amazon ec2 and windows azureIJCNCJournal
Cloud Computing has received much attention by the IT-Business world. As compared to the common
computing platforms, cloud computing is more flexible in supporting real-time computation and is
considered a more powerful model for hosting and delivering services over the Internet. However, since
cloud computing is still at its infancy, it faces many challenges that stand against its growth and spread.
This article discusses some challenges facing cloud computing growth and conducts a comparison study
between Amazon EC2 and Windows Azure in dealing with such challenges. It concludes that Amazon EC2
generally offers better solutions than Windows Azure. Nevertheless, the selection between them depends on
the needs of customers.
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Review and Classification of Cloud Computing Research
1. IOSR Journal of VLSI and Signal Processing (IOSR-JVSP)
Volume 5, Issue 6, Ver. I (Nov -Dec. 2015), PP 58-62
e-ISSN: 2319 – 4200, p-ISSN No. : 2319 – 4197
www.iosrjournals.org
DOI: 10.9790/4200-05615862 www.iosrjournals.org 58 | Page
Review and Classification of Cloud Computing Research
Naushad Ahmad Usmani1
, Mohammed Waseem Ashfaque2
, Kayte
Jaypalsing 3,
Roy Mathew4
, Sangramsing Kayte5
1
(Department of IT, Buraimi University College, Buraimi, Oman)
2
(Department of IT, Buraimi University College, Buraimi, Oman)
3
(Dr.Babasaheb Ambedkar Marathwada University Aurangabad (MH) India)
4
(Department of IT, Buraimi University College, Buraimi, Oman)
5
(Dr.Babasaheb Ambedkar Marathwada University Aurangabad (MH) India)
Abstract : Cloud computing is latest trend in IT world. The relative novelty and rapidly increasing growth of
cloud computing makes it an exciting area for research. The present paper aims to assess the state of cloud
computing research. We portray a current landscape of this research stream, where it is today, and most
importantly, given the current relevance of the topic, some suggestions as to where more effort should be
focused in the future in order to produce more ’consumable research’. The remainder of this article is
organized as follows: First a brief overview of cloud computing is given. Next the research methodology and
our classification schema are presented. This is followed by the results of our literature review and
classification.
Keywords: cloud computing, literature review, classifications
I. INTRODUCTION
Cloud computing has recently reached popularity and developed into a major trend in IT. While
industry has been pushing the Cloud research agenda at high pace, academia has only recently joined, as can be
seen through the sharp rise in workshops and conferences focusing on Cloud Computing. Lately, these have
brought out many peer-reviewed papers on aspects of cloud computing, and made a systematic review
necessary, which analyses the research done and explains the resulting research agenda. We performed such a
systematic review of all peer-reviewed academic research on cloud computing, and explain the technical
challenges facing in this paper. Cloud computing offers an alternative. „Cloud computing‟, as a term for
Internet-based computing service, was launched by industry giants (e.g. Google, Amazon.com, etc.) in late
2006. It promises to provide on-demand computing power with quick implementation, low maintenance, fewer
IT staff, and consequently lower cost. Such appealing promises have made cloud computing a dominant IT press
topic over the past three years. As projected by market-research firm IDC, IT cloud-service spending will grow
from about USD16 billion in 2008 to about USD42 billion by 2012 [Leavitt, 2009]. Cloud computing regularly
appears in the „top 10‟ current issues for CIOs identified by industry commentators such as the VP and editor in
chief of Information Week [Preston, 2011].
In this paper we discuss the advances and research questions in technical aspects of Cloud Computing,
such as protocols, interoperability and techniques for building clouds, while we discuss the research challenges
facing enterprise users, such as cost evaluations, legal issues, trust, privacy, security, and the effects of cloud
computing on the work of IT departments, elsewhere [1].
II. LITERATURE REVIEW
The literature identifies three different broad service models for cloud computing: a) Software as a
Service (SaaS), where applications are hosted and delivered online via a web browser offering traditional
desktop functionality for example Google Docs, Gmail and MySAP. b)Platform as a Service (PaaS), where the
cloud provides the software platform for systems (as opposed to just software), the best current example being
the Google App Engine. c) Infrastructure as a Service (IaaS), where a set of virtualized computing resources,
such as storage and computing capacity, are hosted in the cloud; customers deploy and run their own software
stacks to obtain services. Current examples are Amazon Elastic Compute Cloud (EC2), Simple Storage Service
(S3) and Simple DB. The literature also differentiates cloud computing offerings by scope. In private clouds;
services are provided exclusively to trusted users via a single-tenant operating environment. Essentially, an
organization‟s data centre delivers cloud computing services to clients who may or may not be in the premises
[2]. Public clouds are the opposite: services are offered to individuals and organizations who want to retain
elasticity and accountability without absorbing the full costs of in-house infrastructures [2]. Public cloud users
2. Review and Classification of Cloud Computing Research
DOI: 10.9790/4200-05615862 www.iosrjournals.org 59 | Page
are by default treated as untrustworthy. There are also hybrid clouds combining both private and public cloud
service offerings [3].
This section includes survey conducted by international data corporation (IDC). It shows the strength
of cloud computing to be implemented in IT industry and gives the potential inspiration to CSP. The section
contains the survey related to the growth of cloud, security aspect, cloud is the first priority to the vendors,
revenue report, future and current usage, state of cloud to the IT users and popularity survey of cloud
computing.
a) SaaS Vendor Revenue: The Table 1 shows the cloud growth 2015 [4].
Table 1: SaaS Vendor Revenue
SaaS Market
Share 1H 2015
Salesforce 2633 10.8%
Microsoft 1940 7.9%
Adobe 1487 6.1%
SAP 1201 4.9%
Oracle 762 3.1%
IBM 664 2.7%
Workday 425 1.7%
Athena Health 407 1.7%
Cisco 407 1.7%
Service Now 343 1.4%
Citrix 347 1.4%
Others 13812 56.65
Total 24407
b) Definition of Cloud Computing
A large pool of easily usable and accessible virtualized resources (such as hardware, development
platforms and/or services). These resources can be dynamically reconfigured to adjust to a variable load (scale),
allowing also for an optimum resource utilization. This pool of resources is typically exploited by a pay-per-use
model in which guarantees are offered by the infrastructure provider by means of customized SLAs. [Vaquero,
Rodero–Merino, Caceres, and Lindner, 2009]
The NIST definition is one of the clearest and most comprehensive definitions of cloud computing and
is widely referenced in US government documents and projects. This definition describes cloud
computing as having five essential characteristics, three service models, and four deployment models.
The essential characteristics are:
On-demand self-service: computing resources can be acquired and used at anytime without the need for
human interaction with cloud service providers. Computing resources include processing power,
storage, virtual machines etc.
Broad network access: the previously mentioned resources can be accessed over a network using
heterogeneous devices such as laptops or mobiles phones.
Resource pooling: cloud service providers pool their resources that are then shared by multiple users.
This is referred to as multi-tenancy where for example a physical server may host several virtual
machines belonging to different users.
Rapid elasticity: a user can quickly acquire more resources from the cloud by scaling out. They can
scale back in by releasing those resources once they are no longer required.
Measured service: resource usage is metered using appropriate metrics such monitoring storage usage,
CPU hours, bandwidth usage etc.
The above characteristics apply to all clouds but each cloud provides users with services at a different level of
abstraction, which is referred to as a service model in the NIST definition. The three most common service
models are:
Software as a Service (SaaS): this is where users simply make use of a web-browser to access software
that others have developed and offer as a service over the web. At the SaaS level, users do not have
control or access to the underlying infrastructure being used to host the software. Salesforce‟s
Customer Relationship Management software3 and Google Docs4 are popular examples that use the
SaaS model of cloud computing.
3. Review and Classification of Cloud Computing Research
DOI: 10.9790/4200-05615862 www.iosrjournals.org 60 | Page
Platform as a Service (PaaS): this is where applications are developed using a set of programming
languages and tools that are supported by the PaaS provider. PaaS provides users with a high level of
abstraction that allows them to focus on developing their applications and not worry about the
underlying infrastructure. Just like the SaaS model, users do not have control or access to the
underlying infrastructure being used to host their applications at the PaaS level. Google App Engine5
and Microsoft Azure6 are popular PaaS examples.
Infrastructure as a Service (IaaS): this is where users acquire computing resources such as processing
power, memory and storage from an IaaS provider and use the resources to deploy and run their
applications. In contrast to the PaaS model, the IaaS model is a low level of abstraction that allows
users to access the underlying infrastructure through the use of virtual machines. IaaS gives users more
flexibility than PaaS as it allows the user to deploy any software stack on top of the operating system.
However, flexibility comes with a cost and users are responsible for updating and patching the
operating system at the IaaS level. Amazon Web Services‟ EC2 and S37 are popular IaaS examples.
Private cloud: a cloud that is used exclusively by one organisation. The cloud may be operated by the
organisation itself or a third party. The St Andrews Cloud Computing Co-laboratory8 and Concur
Technologies are example organisations that have private clouds.
Public cloud: a cloud that can be used (for a fee) by the general public. Public clouds require significant
investment and are usually owned by large corporations such as Microsoft, Google or Amazon.
Community cloud: a cloud that is shared by several organisations and is usually setup for their specific
requirements. The Open Cirrus cloud testbed could be regarded as a community cloud that aims to
support research in cloud computing.
Hybrid cloud: a cloud that is setup using a mixture of the above three deployment models. Each cloud
in a hybrid cloud could be independently managed but applications and data would be allowed to move
across the hybrid cloud. Hybrid clouds allow cloud bursting to take place, which is where a private
cloud can burst-out to a public cloud when it requires more resources.
III. RESEARCH METHODOLOGY
The reviews the research that describes technological aspects of research in cloud computing. This
starts with a look at lessons to be learnt from related fields of research. In the following, standards and interfaces
in cloud computing as well as interoperability between different cloud systems are explained. Then, techniques
for designing and building clouds are summarised, which include advances in management software, hardware
provisioning, and simulators that have been developed to evaluate design decisions and cloud management
choices. This is rounded up by presenting new use-cases that have become possible through cloud computing.
Voas and Zhang identified cloud computing as the next computing paradigm that follows on from mainframes,
PCs, networked computing, the internet and grid computing. These developments are likely to have similarly
profound effects as the move from mainframes to PCs had on the ways in which software was developed and
deployed. One of the reasons that prevented grid computing from being widely used was the lack of
virtualization that resulted in jobs being dependant on the underlying infrastructure. This often resulted in
unnecessary complexity that had an effect on wider adoption. Ian Foster – who was one of the pioneers of grid
computing – compared cloud computing with grid computing and concluded that although the details and
technologies of the two are different, their vision is essentially the same. This vision is to provide computing as
a utility in the same way that other public utilities such as gas and electricity are provided. In fact the dream of
utility computing has been around since the 1960s and advocated by the likes of John McCarthy and Douglas
Parkhill. For example, the influential mainframe operating system Multics had a number of design goals that are
remarkably similar to the aims of current cloud computing providers. These design goals included remote
terminal access, continuous operational provision (inspired by electricity and telephone services), scalability,
reliable file systems that users trust to store their only copy of files, information sharing controls, and an ability
to support different programming environments. Therefore it is unsurprising that many people compare cloud
computing to mainframe computing. However, it should be noted that although many of the ideas are the same,
the user experience of cloud computing is almost completely the opposite of mainframe computing. Mainframe
computing limited people's freedom by restricting them to a very rigid environment; cloud computing expands
their freedom by giving them access to a variety of resources and services in a self-service manner.
a) Technological Issues
This category focuses on technology details of cloud computing. Articles in this category are produced by
researchers who see cloud computing as a white-box and are interested in its components and mechanisms. Six
categories are related to technological issues.
4. Review and Classification of Cloud Computing Research
DOI: 10.9790/4200-05615862 www.iosrjournals.org 61 | Page
Cloud Performance: This subcategory covers articles focusing on the evaluation and optimisation of the
performance of the clouds.
Data Management: This subcategory includes specific issues associated with the large scale, distributed
data processing in the clouds
Data Centre Management: This subcategory looks into the foundational enabler of cloud computing,
the data centres. Articles in this category concentrate on energy efficiency, power conservation, and
environmental considerations in the design of data centers.
Software Development: This subcategory represents a stream of software developer-oriented research.
Articles in this subcategory range from generic discussions on developing distributed and parallel
software in cloud computing environments.
Service Management: As an emerging research theme focusing on the administration of cloud
computing services, this subcategory includes articles exclusively targeting aspects such as service
lifecycle in the cloud.
Security: Cloud security has been a common concern for the public.
b) Business Issues
In this category contains articles that provide a general view of cloud computing practice and research, with an
aim to provide a general understanding of this area rather than to focus on any specific facet of it. These articles
can be further classified into two subcategories.
Foundational/Introductions: ontains articles that introduce foundational concepts and components of
cloud computing. Such introductory articles provide definitions and outline key features of cloud
computing.
Predictions: This subcategory contains articles focusing on forecasting the future of cloud computing
and suggesting potential implications. Some project the technical and managerial effects of cloud
computing on network and software vendors.
c) Domains and Applications
In that category consists of articles which discuss the impact of cloud computing on particular domains or
applications.
E-Science: targets the implications of cloud computing for the e-Science community, which has long
been yearning for infinite computing power. E-Science refers to the scientific disciplines (i.e. earth
science, bio-informatics, particle physics, etc.).
E-Government: This subcategory discusses the potential of cloud computing for governments.
Governments are more hesitant than businesses to adopt cloud computing services
Education: This subcategory focuses on the impact of cloud computing on educational institutes,
especially those in the higher education sector. Operating and maintaining IT infrastructure has cost
universities enormous amounts of money; hence, some argue that by adopting cloud-based solutions,
such money could be saved and used in places more meaningful to the students and teachers
Mobile Computing: In that subcategory contemplates the potential of combining cloud computing and
mobile technologies
Open Source: This subcategory looks into merging the two paradigms―cloud computing and open
source―to build open clouds. The key theme is the proposal that to ensure that the Internet becomes an
interoperable „network of networks‟, cloud platforms should be built on open standards, open interface,
and open source software
Other Domains: This subcategory contains articles which each represent a stand-alone topic relevant to
the application of cloud computing. Topics include using cloud computing for improving analysing and
reasoning capabilities of semantic search engines.
IV. CLOUD COMPUTING TECHNOLOGIES
a) Microsoft Cloud Technologies
Microsoft is a foremost provider of cloud technologies and applications with results that matches with
all type of business needs. It provides all type of services whether it is PaaS, IaaS or SaaS.
b) Oracle Cloud Technologies
Oracle also provides the complete enterprise read public cloud solution including IaaS, PaaS and SaaS.
With this you only need to concentrate on your business without worrying about IT management
.oracle offers the following services
5. Review and Classification of Cloud Computing Research
DOI: 10.9790/4200-05615862 www.iosrjournals.org 62 | Page
Database, it is available Database-as-a-Service along with accessing the Database in the Cloud directly
through standard network connections, or as a Platform as a Service, with a complete development and
deployment environment.
c) Google Cloud Technologies
Google cloud also provides the services such as Software-as-a-Service, Platform-as-a Service and
Infrastructure-as-a-Service. Google cloud enables developers to build, test and deploy applications on Google‟s
highly scalable and secure infrastructure. As we know that Google has already provided infrastructure that
allows Google to return billions of search results in milliseconds, provide storage for about 425 million Gmail
users and serve 6 billion hours of YouTube video per month. Google has the ability to build, organize and
operate a huge network of servers and fiber-optic cables .All this in aggregate makes Google the King of all
cloud.
V. LIMITATIONS
Cloud computing is industry-driven in nature, many quality professional articles may also embrace this
phenomenon. This may hinder the ability of the present article to present a complete picture of the current
developments in this domain. Second, the articles included are all refereed journal articles. Therefore, the
classification scheme might not reflect the topic distribution of conference papers related to cloud computing.
Third, our search criteria might be incomplete, as some papers discussing cloud computing that do not have the
term „cloud computing‟ in the abstract or keyword list may not have been included.
VI. CONCLUSION
Cloud computing is the cost, time and performance effective technology. Of course the usage of cloud
computing will surely will increase more in next few years. In this paper we have discussed and surveyed basic
of cloud computing and security issues in the cloud computing. Some security issues are the key concern in the
cloud computing. Especially privacy and integrity of data are the key concern security issues. In the cloud as
data is stored publically and we really don‟t know where the data is being stored, we don‟t know the exact
location of the data, due to this data stored in the cloud has a higher risk of being accessed by un- theorized
person during storage as well as transmission.
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