Historical development ,Vision of Cloud Computing, Characteristics of cloud computing as per NIST , Cloud computing reference model ,Cloud computing environments, Cloud services requirements, Cloud and dynamic infrastructure, Cloud Adoption and rudiments .Overview of cloud applications: ECG Analysis in the cloud, Protein structure prediction, Gene Expression Data Analysis ,Satellite Image Processing ,CRM and ERP ,Social networking .
Cloud Reference Model, Types of Clouds, Cloud Interoperability & Standards, Scalability and Fault Tolerance, Cloud Solutions: Cloud Ecosystem, Cloud Business Process Management, Cloud Service Management.
Cloud Offerings: Cloud Analytics, Testing Under Control, Virtual Desktop Infrastructure. Virtual LAN(VLAN) and Virtual SAN(VSAN) and their benefits .
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.
This document discusses improving data security for mobile devices using cloud computing storage. It proposes encrypting data stored in the cloud to address security issues. Mobile cloud computing integrates mobile networks and cloud computing to provide services for mobile users. However, storing large amounts of personal and enterprise data in the cloud raises security risks regarding data integrity, authentication, and access. The document reviews these risks and considers solutions like encryption and digital rights management to protect data stored in the cloud.
Cloud computing security through symmetric cipher modelijcsit
Cloud computing can be defined as an application and services which runs on distributed network using
virtualized and it is accessed through internet protocols and networking. Cloud computing resources and
virtual and limitless and information’s of the physical systems on which software running are abstracted
from the user. Cloud Computing 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. To satisfy the needs of the
users the concept is to incorporate technologies which have the common theme of reliance on the internet
Software and data are stored on the servers whereas cloud computing services are provided through
applications online which can be accessed from web browsers. Lack of security and access control is the
major drawback in the cloud computing as the users deal with sensitive data to public clouds .Multiple
virtual machine in cloud can access insecure information flows as service provider; therefore to implement
the cloud it is necessary to build security. Therefore the main aim of this paper is to provide cloud
computing security through symmetric cipher model. This article proposes symmetric cipher model in
order to implement cloud computing security so that data can accessed and stored securely.
Presentation on cloud computing security issues using HADOOP and HDFS ARCHITE...Pushpa
we discuss security issues for cloud computing and present a layered framework for secure clouds and then focus on two of the layers, i.e., the storage layer and the data layer. In particular, we discuss a scheme for secure third party publications of documents in a cloud. Next, we will converse secure federated query processing with map Reduce and Hadoop, and discuss the use of secure co-processors for cloud computing. Finally, we discuss XACML implementation for Hadoop and discuss their beliefs that building trusted applications from untrusted components will be a major aspect of secure
cloud computing.
data storage security technique for cloud computinghasimshah
Stenographic approach to ensure data storage security in cloud computing using Huffman coding. The system embeds data into images using steganography after encoding the data and frequency of characters using Huffman coding. This is done to provide security when storing data in the cloud. The encoding and embedding processes ensure the data is not readable without the decoding algorithm and Huffman tree, providing protection from unauthorized access.
Iaetsd cloud computing and security challengesIaetsd Iaetsd
This document summarizes security challenges in cloud computing. It discusses how the distributed nature of cloud computing introduces security risks to confidential data and resources. It outlines several types of security threats like data breaches, malware injection, and network attacks. It also examines security requirements like confidentiality, integrity, and authentication. Finally, the document notes challenges like ensuring security, managing resources, and maintaining performance and interoperability remain open issues for cloud computing.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document summarizes a research thesis that proposes a trusted cloud computing platform (TCCP) to address critical security issues in cloud computing. The TCCP is designed to provide a closed box execution environment for virtual machines to guarantee confidentiality and integrity of computations outsourced to infrastructure as a service cloud providers. It allows customers to remotely verify whether a cloud provider's backend is running a trusted TCCP implementation before launching a virtual machine. The TCCP leverages advances in trusted computing technologies to securely manage virtual machines and cloud infrastructure through protocols for node registration and virtual machine launch and migration. The goal of the TCCP is to extend the capabilities of traditional trusted platforms to the complex, distributed environments of cloud computing infra
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.
This document discusses improving data security for mobile devices using cloud computing storage. It proposes encrypting data stored in the cloud to address security issues. Mobile cloud computing integrates mobile networks and cloud computing to provide services for mobile users. However, storing large amounts of personal and enterprise data in the cloud raises security risks regarding data integrity, authentication, and access. The document reviews these risks and considers solutions like encryption and digital rights management to protect data stored in the cloud.
Cloud computing security through symmetric cipher modelijcsit
Cloud computing can be defined as an application and services which runs on distributed network using
virtualized and it is accessed through internet protocols and networking. Cloud computing resources and
virtual and limitless and information’s of the physical systems on which software running are abstracted
from the user. Cloud Computing 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. To satisfy the needs of the
users the concept is to incorporate technologies which have the common theme of reliance on the internet
Software and data are stored on the servers whereas cloud computing services are provided through
applications online which can be accessed from web browsers. Lack of security and access control is the
major drawback in the cloud computing as the users deal with sensitive data to public clouds .Multiple
virtual machine in cloud can access insecure information flows as service provider; therefore to implement
the cloud it is necessary to build security. Therefore the main aim of this paper is to provide cloud
computing security through symmetric cipher model. This article proposes symmetric cipher model in
order to implement cloud computing security so that data can accessed and stored securely.
Presentation on cloud computing security issues using HADOOP and HDFS ARCHITE...Pushpa
we discuss security issues for cloud computing and present a layered framework for secure clouds and then focus on two of the layers, i.e., the storage layer and the data layer. In particular, we discuss a scheme for secure third party publications of documents in a cloud. Next, we will converse secure federated query processing with map Reduce and Hadoop, and discuss the use of secure co-processors for cloud computing. Finally, we discuss XACML implementation for Hadoop and discuss their beliefs that building trusted applications from untrusted components will be a major aspect of secure
cloud computing.
data storage security technique for cloud computinghasimshah
Stenographic approach to ensure data storage security in cloud computing using Huffman coding. The system embeds data into images using steganography after encoding the data and frequency of characters using Huffman coding. This is done to provide security when storing data in the cloud. The encoding and embedding processes ensure the data is not readable without the decoding algorithm and Huffman tree, providing protection from unauthorized access.
Iaetsd cloud computing and security challengesIaetsd Iaetsd
This document summarizes security challenges in cloud computing. It discusses how the distributed nature of cloud computing introduces security risks to confidential data and resources. It outlines several types of security threats like data breaches, malware injection, and network attacks. It also examines security requirements like confidentiality, integrity, and authentication. Finally, the document notes challenges like ensuring security, managing resources, and maintaining performance and interoperability remain open issues for cloud computing.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document summarizes a research thesis that proposes a trusted cloud computing platform (TCCP) to address critical security issues in cloud computing. The TCCP is designed to provide a closed box execution environment for virtual machines to guarantee confidentiality and integrity of computations outsourced to infrastructure as a service cloud providers. It allows customers to remotely verify whether a cloud provider's backend is running a trusted TCCP implementation before launching a virtual machine. The TCCP leverages advances in trusted computing technologies to securely manage virtual machines and cloud infrastructure through protocols for node registration and virtual machine launch and migration. The goal of the TCCP is to extend the capabilities of traditional trusted platforms to the complex, distributed environments of cloud computing infra
The document discusses key concepts in cloud computing, including definitions, models, and architectures. It defines cloud computing using NIST and ISO/IEC definitions, noting essential characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It describes cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), as well as deployment models like public, private, community, and hybrid clouds. The document also provides reference architectural models for IaaS, PaaS and SaaS and discusses logical models and security scope in cloud computing.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Data Security Model Enhancement In Cloud EnvironmentIOSR Journals
This document discusses enhancing data security in cloud environments. It begins by providing background on cloud computing, including its key characteristics and architecture. The document then discusses existing security concerns with cloud computing, as sensitive user data is stored remotely by cloud providers. The main objective is to propose an enhanced data security model for clouds. The proposed model uses a three-layer architecture and efficient algorithms to ensure security at each layer and solve common cloud data security issues like authentication, data protection, and fast data recovery.
This document discusses cloud computing, including its architecture, security issues, and types of attacks. It begins by defining cloud computing and describing its key characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It then outlines the three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models of private cloud, community cloud, public cloud, and hybrid cloud are also defined. Finally, it notes that the document will focus on exploring the security issues that arise from the nature of cloud service delivery and the types of attacks seen in cloud environments.
This document discusses security concepts related to grid and cloud computing, including trust models, authentication and authorization methods, and the grid security infrastructure (GSI). It describes reputation-based and PKI-based trust models, different authorization models, and the layers and functions of GSI, including message protection, authentication, delegation, and authorization. It also discusses risks and security concerns related to cloud computing.
APPLYING GEO-ENCRYPTION AND ATTRIBUTE BASED ENCRYPTION TO IMPLEMENT SECURE AC...IJCNCJournal
Cloud computing is utility-based computing provides many benefits to its clients but security is one aspect which is delaying its adoptions. Security challenges include data security, network security and infrastructure security. Data security can be achieved using Cryptography. If we include location information in the encryption and decryption process then we can bind access to data with the location so that data can be accessed only from the specified locations. In this paper, we propose a method based on the symmetric cryptography, location-based cryptography and ciphertext policy – Attribute-based encryption (CP-ABE) to implements secure access control to the outsourced data. The Symmetric key is used to encrypt that data whereas CP-ABE is used to encrypt the secret key and the location lock value before uploading on the server. User will download encrypted data and the symmetric secret key XORed with the Location Lock value, using his attributes based secret key he can obtain first XORed value of Symmetric secret key and location lock value. Using anti-spoof GPS Location lock value can be obtained which can be used to retrieve the symmetric secret key. We have adopted Massage Authentication Code (MAC) to ensure Integrity and Availability of the data. This protocol can be used in the Bank, government organization, military services or any other industry those are having their offices/work location at a fixed place, so data access can be bounded to that location.
This document discusses cloud computing and its applications in healthcare. It defines cloud computing as a model for accessing computing resources such as hardware and software via a network. There are three main service models for cloud computing: Infrastructure as a Service, Platform as a Service, and Software as a Service. The document also discusses the advantages of cloud computing such as lower costs, interoperability, and increased adoption of electronic medical records. However, security is a main disadvantage since medical information would be stored externally. The document outlines how cloud computing can help with cost reduction, disaster recovery, and storage scalability for healthcare organizations. It provides examples of cloud service providers and healthcare customers that utilize cloud services.
Enhanced Data Partitioning Technique for Improving Cloud Data Storage SecurityEditor IJMTER
Cloud computing is a model for enabling for on demand network access to shared
configurable computing resources (e.g. networks, servers, storage, applications, and services).It is
based on virtualization and distributed computing technologies. Cloud Data storage systems enable
user to store data efficiently on server without any trouble of data resources. User can easily store
and retrieve their data remotely. The two biggest concerns about cloud data storage are reliability and
security. Clients aren’t like to entrust their data to another third party or companies without a
guarantee that they will be able to access therein formations whenever they want. In the existing
system, the data are stored in the cloud using dynamic data operation with computation which makes
the user need to make a copy for further updating and verification of the data loss. Different
distributed storing auditing techniques are used for overcoming the problem of data loss. Recent
work of this paper has show that data partitioning technique used for data storage by providing
Digital signature to every partitioning data and user .this technique allow user to upload or retrieve
the data with matching the digital signatures provided to them. This method ensures high cloud
storage integrity, enhanced error localization and easy identification of misbehaving server and
unauthorized access to the cloud server. Hence this work aims to store the data securely in reduced
space with less time and computational cost.
SECURITY APPREHENSIONS IN DIFFERENT REGIONS OF CLOUD CAPTIOUS GROUNDSIJNSA Journal
Cloud computing is a new innovative model for enterprise in which information is permanently stored on the servers and also manage how and when different resources are allocate to the requested users. It provides distributed approach through which resources are allocated dynamically to the users without investing in the infrastructure or licensing the software’s on the client side. Using the cloud makes processing of information is more commodious but it also present them with new security problems about reliability.This phenomenon introduces serious problems regarding access mechanism to any information stored in the database and resources in the cloud. For the successful implementation of cloud computing it is necessary that we must know different areas where the security is needed. For this there should also governess strategy needed for secure communication between multi-clouds located in different geographical areas or in different countries. In this paper we discuss how to safely utilizing the benefit of cloud computing through the network where data security, provide authentication, integration, recovery, IP spoofing and Virtual Servers are the most captiousfields in the cloud.
1) The document proposes a methodology for cloud monitoring and forensics using security metrics.
2) The methodology involves 5 steps - monitoring consumer activity, detecting malicious activity via signature matching, activating an automated forensic system, stopping remote access for the consumer, and legal action.
3) A generic architecture is presented that implements the methodology using host-based intrusion detection and collecting data in security metrics.
This document provides an overview of cloud computing technology and infrastructure. It discusses key concepts like Infrastructure as a Service (IaaS), the various deployment models (private, public, hybrid, and community clouds), and essential characteristics of cloud computing like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also outlines the architecture of cloud systems and how engineering principles are applied to cloud computing. It aims to give readers an understanding of IaaS and the technical aspects that underpin cloud infrastructure.
Cloud computing provides economic benefits through common infrastructure, location independence, online connectivity, utility pricing, and on-demand resources. Pooled, standardized resources lower overhead costs and increase utilization through statistical multiplexing. Aggregating independent workloads reduces variability, lowering the cost per delivered resource. In reality, workloads may be correlated, limiting these statistical economies. However, mid-size providers can achieve scale benefits by aggregating independent demands. Large cloud providers utilize scale through low-cost components and automation.
This document summarizes a research paper on secure data storage in the cloud using digital signature mechanisms. The paper proposes using digital signatures to authenticate data and ensure its integrity when stored in the cloud. Digital signatures are generated using a digital signature algorithm and attached to data files before being uploaded to the cloud. When users request to access a file, the cloud server will verify the digital signature using the user's public key to confirm the data has not been altered. The paper evaluates this approach through a prototype implemented using Windows Azure that demonstrates how digital signatures can help secure data stored in cloud computing environments.
This document summarizes recent research on security issues related to single cloud and multi-cloud storage models. It finds that relying on a single cloud service provider poses risks to data availability and integrity if the provider experiences an outage. Storing data across multiple cloud providers (a multi-cloud model) can help address these issues but may increase costs. The document surveys various techniques proposed in recent research to improve security, availability, and integrity in single and multi-cloud environments, such as homomorphic tokens, file division, and the Depsky model. It concludes that while single cloud has been more widely researched, multi-cloud is an important area of ongoing work to help overcome the security and cost challenges of cloud storage.
Security issue in cloud by himanshu tiwaribhanu krishna
The document discusses security issues in cloud computing. It begins with an overview of cloud computing models and characteristics. It then identifies three main problems associated with cloud security - loss of control, lack of trust, and multi-tenancy issues that arise from sharing resources. Several approaches are proposed to help address these issues, including minimizing loss of control through monitoring, utilizing multiple clouds, and improved access control management. Strong isolation techniques and policy specification are suggested to help minimize multi-tenancy problems.
Fog computing extends cloud computing by providing security and data processing capabilities at the edge of the network, close to end users and devices. It aims to address issues like high latency and bandwidth usage that can occur when all data processing is done in the cloud. Fog computing deploys computing, storage, and applications between end devices and cloud data centers so that data can be processed locally when needed. This helps enable real-time applications like smart energy grids that require low latency responses by running applications on edge devices instead of sending all data to the cloud.
"The transition of companies to cloud-based will be quicker for some and slower for others depending on their individual circumstances, But the change will happen."
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.
This document summarizes a research paper that proposes a system for privacy-preserving public auditing of cloud data storage. The system allows a third-party auditor (TPA) to verify the integrity of data stored with a cloud service provider on behalf of users, without learning anything about the actual data contents. The system uses a public key-based homomorphic linear authenticator technique that enables the TPA to perform audits without having access to the full data. This technique allows the TPA to efficiently audit multiple users' data simultaneously. The document describes the system components, methodology used involving key generation and auditing protocols, and concludes the proposed system provides security and performance guarantees for privacy-preserving public auditing of cloud data
This document provides an overview of cloud computing, including its key concepts, models, and advantages. The main points are:
- Cloud computing provides on-demand access to computing resources like servers, storage, databases, and applications via the internet. It allows users to avoid upfront infrastructure costs.
- The major cloud service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides access to applications, PaaS provides development platforms, and IaaS provides basic computing resources.
- The key benefits of cloud computing include cost savings, flexibility, scalability, and accessibility of resources from anywhere via
Methodologies for Enhancing Data Integrity and Security in Distributed Cloud ...IIJSRJournal
Usually, cloud infrastructure is used individually by businesses, whereas the hybrid cloud would be a blend of two or many kinds of clouds. Because as clouds become increasingly common, safety issues also expanding. Because of such cybersecurity threats, numerous experts suggested procedures as well as ways to assure internet confidentiality. Providers of cloud-based services were accountable for the complete safety of cloud information. Nevertheless, since the clouds are accessible (easily accessible over the World wide web), much research has been conducted on cloud storage cybersecurity. This paper describes methods for enhancing security and reliability in decentralized cloud-based solutions, as well as suggests a few security solution methods of implementation.
The document discusses key concepts in cloud computing, including definitions, models, and architectures. It defines cloud computing using NIST and ISO/IEC definitions, noting essential characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It describes cloud service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), as well as deployment models like public, private, community, and hybrid clouds. The document also provides reference architectural models for IaaS, PaaS and SaaS and discusses logical models and security scope in cloud computing.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Data Security Model Enhancement In Cloud EnvironmentIOSR Journals
This document discusses enhancing data security in cloud environments. It begins by providing background on cloud computing, including its key characteristics and architecture. The document then discusses existing security concerns with cloud computing, as sensitive user data is stored remotely by cloud providers. The main objective is to propose an enhanced data security model for clouds. The proposed model uses a three-layer architecture and efficient algorithms to ensure security at each layer and solve common cloud data security issues like authentication, data protection, and fast data recovery.
This document discusses cloud computing, including its architecture, security issues, and types of attacks. It begins by defining cloud computing and describing its key characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. It then outlines the three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models of private cloud, community cloud, public cloud, and hybrid cloud are also defined. Finally, it notes that the document will focus on exploring the security issues that arise from the nature of cloud service delivery and the types of attacks seen in cloud environments.
This document discusses security concepts related to grid and cloud computing, including trust models, authentication and authorization methods, and the grid security infrastructure (GSI). It describes reputation-based and PKI-based trust models, different authorization models, and the layers and functions of GSI, including message protection, authentication, delegation, and authorization. It also discusses risks and security concerns related to cloud computing.
APPLYING GEO-ENCRYPTION AND ATTRIBUTE BASED ENCRYPTION TO IMPLEMENT SECURE AC...IJCNCJournal
Cloud computing is utility-based computing provides many benefits to its clients but security is one aspect which is delaying its adoptions. Security challenges include data security, network security and infrastructure security. Data security can be achieved using Cryptography. If we include location information in the encryption and decryption process then we can bind access to data with the location so that data can be accessed only from the specified locations. In this paper, we propose a method based on the symmetric cryptography, location-based cryptography and ciphertext policy – Attribute-based encryption (CP-ABE) to implements secure access control to the outsourced data. The Symmetric key is used to encrypt that data whereas CP-ABE is used to encrypt the secret key and the location lock value before uploading on the server. User will download encrypted data and the symmetric secret key XORed with the Location Lock value, using his attributes based secret key he can obtain first XORed value of Symmetric secret key and location lock value. Using anti-spoof GPS Location lock value can be obtained which can be used to retrieve the symmetric secret key. We have adopted Massage Authentication Code (MAC) to ensure Integrity and Availability of the data. This protocol can be used in the Bank, government organization, military services or any other industry those are having their offices/work location at a fixed place, so data access can be bounded to that location.
This document discusses cloud computing and its applications in healthcare. It defines cloud computing as a model for accessing computing resources such as hardware and software via a network. There are three main service models for cloud computing: Infrastructure as a Service, Platform as a Service, and Software as a Service. The document also discusses the advantages of cloud computing such as lower costs, interoperability, and increased adoption of electronic medical records. However, security is a main disadvantage since medical information would be stored externally. The document outlines how cloud computing can help with cost reduction, disaster recovery, and storage scalability for healthcare organizations. It provides examples of cloud service providers and healthcare customers that utilize cloud services.
Enhanced Data Partitioning Technique for Improving Cloud Data Storage SecurityEditor IJMTER
Cloud computing is a model for enabling for on demand network access to shared
configurable computing resources (e.g. networks, servers, storage, applications, and services).It is
based on virtualization and distributed computing technologies. Cloud Data storage systems enable
user to store data efficiently on server without any trouble of data resources. User can easily store
and retrieve their data remotely. The two biggest concerns about cloud data storage are reliability and
security. Clients aren’t like to entrust their data to another third party or companies without a
guarantee that they will be able to access therein formations whenever they want. In the existing
system, the data are stored in the cloud using dynamic data operation with computation which makes
the user need to make a copy for further updating and verification of the data loss. Different
distributed storing auditing techniques are used for overcoming the problem of data loss. Recent
work of this paper has show that data partitioning technique used for data storage by providing
Digital signature to every partitioning data and user .this technique allow user to upload or retrieve
the data with matching the digital signatures provided to them. This method ensures high cloud
storage integrity, enhanced error localization and easy identification of misbehaving server and
unauthorized access to the cloud server. Hence this work aims to store the data securely in reduced
space with less time and computational cost.
SECURITY APPREHENSIONS IN DIFFERENT REGIONS OF CLOUD CAPTIOUS GROUNDSIJNSA Journal
Cloud computing is a new innovative model for enterprise in which information is permanently stored on the servers and also manage how and when different resources are allocate to the requested users. It provides distributed approach through which resources are allocated dynamically to the users without investing in the infrastructure or licensing the software’s on the client side. Using the cloud makes processing of information is more commodious but it also present them with new security problems about reliability.This phenomenon introduces serious problems regarding access mechanism to any information stored in the database and resources in the cloud. For the successful implementation of cloud computing it is necessary that we must know different areas where the security is needed. For this there should also governess strategy needed for secure communication between multi-clouds located in different geographical areas or in different countries. In this paper we discuss how to safely utilizing the benefit of cloud computing through the network where data security, provide authentication, integration, recovery, IP spoofing and Virtual Servers are the most captiousfields in the cloud.
1) The document proposes a methodology for cloud monitoring and forensics using security metrics.
2) The methodology involves 5 steps - monitoring consumer activity, detecting malicious activity via signature matching, activating an automated forensic system, stopping remote access for the consumer, and legal action.
3) A generic architecture is presented that implements the methodology using host-based intrusion detection and collecting data in security metrics.
This document provides an overview of cloud computing technology and infrastructure. It discusses key concepts like Infrastructure as a Service (IaaS), the various deployment models (private, public, hybrid, and community clouds), and essential characteristics of cloud computing like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also outlines the architecture of cloud systems and how engineering principles are applied to cloud computing. It aims to give readers an understanding of IaaS and the technical aspects that underpin cloud infrastructure.
Cloud computing provides economic benefits through common infrastructure, location independence, online connectivity, utility pricing, and on-demand resources. Pooled, standardized resources lower overhead costs and increase utilization through statistical multiplexing. Aggregating independent workloads reduces variability, lowering the cost per delivered resource. In reality, workloads may be correlated, limiting these statistical economies. However, mid-size providers can achieve scale benefits by aggregating independent demands. Large cloud providers utilize scale through low-cost components and automation.
This document summarizes a research paper on secure data storage in the cloud using digital signature mechanisms. The paper proposes using digital signatures to authenticate data and ensure its integrity when stored in the cloud. Digital signatures are generated using a digital signature algorithm and attached to data files before being uploaded to the cloud. When users request to access a file, the cloud server will verify the digital signature using the user's public key to confirm the data has not been altered. The paper evaluates this approach through a prototype implemented using Windows Azure that demonstrates how digital signatures can help secure data stored in cloud computing environments.
This document summarizes recent research on security issues related to single cloud and multi-cloud storage models. It finds that relying on a single cloud service provider poses risks to data availability and integrity if the provider experiences an outage. Storing data across multiple cloud providers (a multi-cloud model) can help address these issues but may increase costs. The document surveys various techniques proposed in recent research to improve security, availability, and integrity in single and multi-cloud environments, such as homomorphic tokens, file division, and the Depsky model. It concludes that while single cloud has been more widely researched, multi-cloud is an important area of ongoing work to help overcome the security and cost challenges of cloud storage.
Security issue in cloud by himanshu tiwaribhanu krishna
The document discusses security issues in cloud computing. It begins with an overview of cloud computing models and characteristics. It then identifies three main problems associated with cloud security - loss of control, lack of trust, and multi-tenancy issues that arise from sharing resources. Several approaches are proposed to help address these issues, including minimizing loss of control through monitoring, utilizing multiple clouds, and improved access control management. Strong isolation techniques and policy specification are suggested to help minimize multi-tenancy problems.
Fog computing extends cloud computing by providing security and data processing capabilities at the edge of the network, close to end users and devices. It aims to address issues like high latency and bandwidth usage that can occur when all data processing is done in the cloud. Fog computing deploys computing, storage, and applications between end devices and cloud data centers so that data can be processed locally when needed. This helps enable real-time applications like smart energy grids that require low latency responses by running applications on edge devices instead of sending all data to the cloud.
"The transition of companies to cloud-based will be quicker for some and slower for others depending on their individual circumstances, But the change will happen."
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.
This document summarizes a research paper that proposes a system for privacy-preserving public auditing of cloud data storage. The system allows a third-party auditor (TPA) to verify the integrity of data stored with a cloud service provider on behalf of users, without learning anything about the actual data contents. The system uses a public key-based homomorphic linear authenticator technique that enables the TPA to perform audits without having access to the full data. This technique allows the TPA to efficiently audit multiple users' data simultaneously. The document describes the system components, methodology used involving key generation and auditing protocols, and concludes the proposed system provides security and performance guarantees for privacy-preserving public auditing of cloud data
This document provides an overview of cloud computing, including its key concepts, models, and advantages. The main points are:
- Cloud computing provides on-demand access to computing resources like servers, storage, databases, and applications via the internet. It allows users to avoid upfront infrastructure costs.
- The major cloud service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides access to applications, PaaS provides development platforms, and IaaS provides basic computing resources.
- The key benefits of cloud computing include cost savings, flexibility, scalability, and accessibility of resources from anywhere via
Methodologies for Enhancing Data Integrity and Security in Distributed Cloud ...IIJSRJournal
Usually, cloud infrastructure is used individually by businesses, whereas the hybrid cloud would be a blend of two or many kinds of clouds. Because as clouds become increasingly common, safety issues also expanding. Because of such cybersecurity threats, numerous experts suggested procedures as well as ways to assure internet confidentiality. Providers of cloud-based services were accountable for the complete safety of cloud information. Nevertheless, since the clouds are accessible (easily accessible over the World wide web), much research has been conducted on cloud storage cybersecurity. This paper describes methods for enhancing security and reliability in decentralized cloud-based solutions, as well as suggests a few security solution methods of implementation.
Privacy preserving public auditing for secured cloud storagedbpublications
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+ is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
Cloud Computing genral for all concepts.pptxraghavanp4
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services via the internet. It has three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). There are four deployment models - public, private, hybrid and community clouds. Key enabling technologies include virtualization, distributed resource management and reservation-based provisioning to meet service level agreements.
Cloud computing allows users to access computing resources like servers, storage, databases, networking, software, analytics and more over the internet. It provides scalability, reliability and cost savings. There are different cloud service models like Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Users can choose between public, private or hybrid cloud deployment models based on their needs.
This document discusses different types of computing models including cloud computing, grid computing, utility computing, distributed computing, and cluster computing. It provides details on each model, including definitions, key characteristics, and examples. The document also evaluates cloud computing in terms of business drivers for adoption such as business growth, efficiency, customer experience, and assurance. It explains the NIST cloud computing model including deployment models (private, public, hybrid, community clouds) and service models (SaaS, PaaS, IaaS). Finally, it discusses differences between cloud computing, grid computing and cluster computing and provides a note on characteristics and properties of cloud computing.
An Overview on Security Issues in Cloud ComputingIOSR Journals
This document discusses security issues in cloud computing. It begins by defining cloud computing and its service models, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). It then discusses that security is the top challenge for cloud computing according to a survey of IT executives. Specifically, there are concerns about maintaining security, compliance, and control over critical applications and sensitive data when using public cloud environments. The document goes on to provide more details on cloud computing definitions, characteristics, architectures, and the specific security issues involved in cloud computing.
The document provides an overview of cloud computing concepts and services. It discusses the history and evolution of cloud computing. The key cloud services discussed are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Virtualization is described as a foundational technology for cloud computing. The document also examines the pros and cons of cloud computing and its future directions.
1. Cloud computing involves delivering computing resources and services over the internet instead of relying on local servers or personal computers. It enables users to access applications and store/process data using remote servers.
2. There are three main types of cloud computing services: Infrastructure as a Service (IaaS) provides virtual computing resources; Platform as a Service (PaaS) offers platforms for developing applications; and Software as a Service (SaaS) delivers fully functional applications over the internet.
3. The main deployment models are public clouds which are owned by third parties and available publicly, private clouds which are dedicated to a single organization, and hybrid clouds which combine public and private clouds.
The document discusses how cloud implementation can maximize ROI for laboratories. It explains that adopting a thin-client architecture hosted on the cloud provides benefits like high storage capacity, cost effectiveness, strong data security, and the ability for multiple simultaneous users. The cloud's pay-as-you-go model allows laboratories to access laboratory informatics software without large upfront hardware costs. Overall, the cloud enables laboratories to streamline operations while minimizing total cost of ownership.
This document discusses cloud computing characteristics, service models, deployment models, risks, and security benefits. It defines cloud computing as on-demand access to configurable computing resources over a network. Key characteristics include rapid elasticity, broad network access, resource pooling, measured service, and self-service. Common models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Risks include vendor lock-in, loss of governance, and isolation failures, but cloud security can also be improved through large-scale implementation.
The document introduces different types of cloud computing services including software as a service, infrastructure as a service, and platform as a service. It discusses how software as a service allows software to be accessed over the internet rather than being installed locally. Infrastructure as a service provides computing hardware resources, while platform as a service provides tools for developing cloud applications.
This document discusses different aspects of cloud computing including:
- Cloud computing involves storing and processing data on remote servers hosted on the internet rather than local servers.
- It provides on-demand access to shared computing resources like networks, servers, storage, applications and services.
- There are different cloud service models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides virtual machines, storage, and other resources, PaaS provides platforms for developing applications, and SaaS provides access to application software.
- There are also different deployment models for clouds including private clouds for a single organization, public clouds open for public
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It addresses challenges with conventional computing like high costs of software licensing, limited scalability and physical security issues. Cloud computing delivers resources as a service on a pay-per-use basis and provides advantages like lower costs, better service levels, rapid scalability and low maintenance requirements.
Cloud deployment models: public, private, hybrid, community – Categories of cloud computing: Everything as a service: Infrastructure, platform, software - Pros and Cons of cloud computing – Implementation levels of virtualization – virtualization structure – virtualization of CPU, Memory and I/O devices – virtual clusters and Resource Management – Virtualization for data center automation.
A cross referenced whitepaper on cloud computingShahzad
The document defines cloud computing and its basic elements including SaaS, PaaS, IaaS, and utility computing. It discusses essential cloud characteristics like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also covers cloud deployment models, platforms, applications, and criticism of cloud computing.
Cloud computing refers to on-demand access to shared computing resources via the internet. It provides scalable, elastic resources that can be rapidly provisioned with minimal management effort. There are various types of cloud models including private, public, hybrid and community clouds. Cloud services are delivered through software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) models. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service.
This document provides an overview of ANEKA, a cloud application platform developed by Manjrasoft Pvt. Ltd. that allows for building and managing distributed applications and multiple clouds. It discusses cloud computing concepts and the need for multiple clouds and resource management. ANEKA addresses issues with existing approaches by providing programming models, tools, and APIs to deploy scalable applications across distributed networks and clouds. The document outlines ANEKA's architecture, functions for building, deploying, and managing applications, and compares its programming models including Task, Thread, MapReduce, and Parameter Sweeping. In summary, ANEKA is a platform that enables development of applications for multiple cloud environments and distributed networks through its programming abstractions and
Similar to Cloude computing notes for Rgpv 7th sem student (20)
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
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Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
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4. Govindyadav
Que-Characteristics of Cloud
Computing as per NIST
National Institute of Standards and Technology (NIST) is an agency under the
scope of US Department of Commerce. NIST is responsible for defining
standards in Science and Technology.
The Computer Security Division of NIST has provided a formal Definition
and Characteristics of Cloud computing.
NIST five essential characteristics of Cloud Computing
1. On demand self-service
2. Broad network access
3. Resource pooling
4. Rapid Elasticity
5. Measured service
1. On Demand Self service
Computer services such as Email, Application Network, or Server
service can be provided without requiring interaction with each service
provider.
Self-service means that the consumer performs all the actions needed to
acquire the service himself, instead of going through an IT department.
For example – The consumer’s request is then automatically processed
by the cloud infrastructure, without human intervention on the
provider’s side.
5. Govindyadav
2. Broad NetworkAccess
Cloud capabilities are available over the network and accessed through
standard mechanism that promote use by heterogeneous client such as
mobile phone, laptop
3. Resourcepooling
– The providers computing resources are pooled together to serve
multiple customers, with different physical and virtual resources
dynamically assigned and reassigned according to the customers
demand.
– There is a sense of location independence in that the customer
generally has no control or knowledge over the exact location of the
provided resources but may be able to specify lication at a higher level
of abstraction (e.g. contry, state, or datacenter).
– Example of resources include storage, processing, memory, and
network bandwidth.
4. Rapidelasticity
– Capabilities can be elastically provisioned and released, in some cases
automatically, to scale rapidly outward and inward commensurate with
demand.
– To the consumer, the capabilities available for provisioning often
appear to be unlimited and can be appropriated in any quantity at any
time.
5. Measuredservice
– Cloud systems automatically control and optimize resource use by
leveraging a metering capability at some level of abstraction appropriate
to the type of service (e.g. storage, processing, bandwidth, and active
use account).
– Resource usage can be monitored, controlled, and reported, providing
transparency for both the provider and consumer of the utilized service.
6. Govindyadav
6. Multi-tenancy
In a private cloud, the customers are also called tenants, can have
different business divisions inside the same company. In a public cloud,
the customers are often entirely different organizations.
Most public cloud providers use the multi-tenancy model. Multi-
tenancy allows customers to run one server instance, which is less
expensive and makes it easier to deploy updates to a large number of
customers.
Que- Cloud computing reference model-------
Service Models
The resource stack provided as part of the cloud solution and the responsibilities
which fall between the agency and the cloud provider define service models. NIST
SP 800-145 outlines the possible service models that may be employed during a
cloud implementation.
Software as a Service (SaaS). Thecapability gives the customer use of the
provider’s applications running on the provider’s cloud infrastructure. The
applications are accessible from various client devices through a thin client
interface such as a web browser (e.g., web-based email). The customer does
not manage or control the underlying cloud infrastructure including network,
servers, operating systems, storage, or even individual application
capabilities, with the possible exception of limited user-specific application
configuration settings. The SaaS model provides the highest level of
abstraction in which the provider is managing the facilities, the interaction
between software and hardware and the software itself. The provider is
responsible for the highest amount of security and data protection
under this model, and the customerwill negotiate into the service
contractwith the provider.
Platform as a Service (PaaS). Thecapability provides the customer the
ability to deploy onto the cloud infrastructure customer-created or acquired
applications created using programming languages and tools supported by
the provider. PaaS adds a layer of integration with application development
frameworks, middleware capabilities that allow developers to build
applications on the platform with programming languages and tools
7. Govindyadav
supported by the stack. The customer does not manage or control the
underlying cloud infrastructure including network, servers, operating
systems, or storage, but has control over the deployed applications and
possibly application hosting environment configurations. Security is a
shared responsibility with the provider responsible for the underlying
platform infrastructure, and the customeris responsible for securing
the applications developedon the platform.
Infrastructure as a Service (IaaS). The capability provides the customer
provision processing, storage, networks, and other fundamental computing
resources where the customer is able to deploy and run arbitrary software,
which can include operating systems and applications. The computing
infrastructure is typically deployed as a virtual environment. The customer
does not manage or control the underlying cloud infrastructure but has
control over operating systems; storage, deployed applications, and possibly
limited controlof select networking components (e.g., host firewalls). The
customeris responsible for the highest amount of security and data
protection under this model.
Deployment Models-
----Types of Clouds:-There are four different cloud models that you can subscribe
according to business needs:
1. Private Cloud: Here, computing resources are deployed for one particular
organization. This method is more used for intra-business interactions.
Where the computing resources can be governed, owned and operated by the
same organization.
2. Community Cloud: Here, computing resources are provided for a
community and organizations.
3. Public Cloud: This type of cloud is used usually for B2C (Business to
Consumer) type interactions. Here the computing resource is owned,
governed and operated by government, an academic or business
organization.
4. Hybrid Cloud: This type of cloud can be used for both type of interactions -
B2B (Business to Business) or B2C ( Business to Consumer). This
deployment method is called hybrid cloud as the computing resources are
bound together by different clouds.
8. Govindyadav
Que:-Overview of cloud applications: ECG Analysis in
the cloud--
Example of health monitoring system is ECG machine which is used to
measure the Heart-Beat of Human body and the output is get printed on the
graph paper.
The analysis of the shape is used to identify arrhythmias, and it is the most
common way of detecting the heart diseases.
Here the meaning of arrhythmias means “not having a steady rhythm”, “an
arrhythmic heartbeat” means a heart beat which is not in it’s rhythm.
Now we will let this concept enter into the cloud computing.
Cloud computing technologies allows the remote monitoring of a patient’s
heart beat data.
Through this way the patient at risk can be constantly monitored without
going to the hospital for ECG analysis.
At the same time the Doctor’s can instantly be notified with cases that
need’s their attention.
9. Govindyadav
Here in this fig there are different types of computing devices equipped with
ECG sensors to constantly monitor the patient’s heart beat.
The respective information is transmitted to the patient’s mobile device that
will immediately forwarded to the cloud- hosted web services for analysis.
The entire web services from the front end of a platform that is completely
hosted in the cloud that consist of three layers:Saas,Paas,Iaas.
Protein structure prediction
A protein is composed of long chains of amino acids joined together by peptide bonds.
The various structures of protein help in the designing of new drugs and the
various sequences of proteins from its three-dimensional structure in predictive
form is known as a Protein structure prediction.
10. Govindyadav
Gene:
A gene is the basic physical and functional unit of heredity. Genes, which are made
up of DNA, act as instructions to make molecules, such as proteins. In humans,
genes vary in size from a few hundred DNA bases to more than 2 million bases.
Gene expression:
Gene expression is the process by which information from a gene is used in the
synthesis of a functional gene product, such as proteins.
Some of the tools for gene expression analysis are-
AltAnalyze
Dchip
geWorkbench 2.5.1 from NCI.
Babelomics suit
Myrna
Cloud-CoXCS, is a machine learning classification system for gene expression
datasets on the Cloud infrastructure.
It is composed of three components:CoXCS, Aneka, and Cloud computing
infrastructure.
11. Govindyadav
Gene expression technology, allows for the monitoring of the expression levels of
thousands of genes at once.
As a direct result of recent advances technology, it is now feasible to obtain gene
expression profiles of tissue samples at relatively low costs.
The gene expression software’s, such as as Myrna, uses cloud computing, an
Internet-based method of sharing computer resources.
Cloud computing bundles together the processing power of the individual
computers using the Internet.
A number of firms with large computing centers like Amazon, Microsoft etc, rent
unused computers over the Internet for a fee.
Cloud computing makes economic sense because cloud vendors are very efficient
at running and maintaining huge collections of computers.
Researchers struggling to keep pace with their sequencing instruments can use the
cloud to scale up their analyses while avoiding the headaches associated with
building and running their own computer center.
Satellite Image Processing
12. Govindyadav
Satellite Image Processing is an important field in research and development and
consists of the images of earth and satellites taken by the means of artificial
satellites. Firstly, the photographs are taken in digital form and later are processed
by the computers to extract the information. Statistical methods are applied to the
digital images and after processing the various discrete surfaces are identified by
analyzing the pixel values.
The satellite imagery is widely used to plan the infrastructures or to monitor the
environmental conditions or to detect the responses of upcoming disasters.
In broader terms we can say that the Satellite Image Processing is a kind of remote
sensing which works on pixel resolutions to collect coherent information about the
earth surface.
Majorly there are four kinds of resolutions associated with satellite imagery. These
are:
Spatial resolution–
It is determined by the sensors Instantaneous Field of View(IFoV) and is
defined as the pixel size of an image that is visible to the human eye being
measured on the ground. Since it has high resolving power or the ability to
separate and hence is termed as Spatial Resolution.
Spectralresolution –
This resolution measures the wavelength internal size and determines the
number of wavelength intervals that the sensormeasures.
Temporal resolution–
The word temporal is associated with time or days and is defined as the time
that passes between various imagery cloud periods.
Radiometric resolution –
This resolution provides the actual characteristics of the image and is generally
expressed in bits size. It gives the effective bit depth and records the various
levels of brightness of imaging system.
CRM and ERP in Cloud Computing –
13. Govindyadav
What is CRM?
CRM stands for Customer Relationship Management and is a software that is
hosted in cloud so that the users can access the information using internet. CRM
software provides high level of security and scalability to its users and can be
easily used on mobile phones to access the data.
Now a days, many business vendors and service providers are using these CRM
software to manage the resources so that the user can access them via internet.
Moving the business computation from desktop to the cloud is proving a beneficial
step in both the IT and Non-IT fields. Some of the major CRM vendors include
Oracle Siebel, Mothernode CRM, Microsoft Dynamics CRM, Infor CRM, SAGE
CRM, NetSuite CRM.
Advantages:
Few advantages of using CRM are as follows:
High reliability and scalability
Easy to use
Highly secured
Provides flexibility to users and service providers
Easily accessable
What is ERP?
ERP is an abbreviation for Entity ResourcePlanning and is a software similar to
CRM that is hosted on cloud servers which helps the enterprises to manage and
manipulate their business data as per their needs and user requirements. ERP
software follows pay per use methodologies of payment, that is at the end of the
month, the enterprise pay the amount as per the cloud resources utilized by them.
There are various ERP vendors available like Oracle, SAP, Epicor, SAGE,
Microsoft Dynamics, Lawson Softwares and many more.
Advantages:
Few advantages of using ERP softwares are:
Costeffective
High mobility
Increase in productivity
No security issues
Scalable and efficient
14. Govindyadav
Unit-2
Cloud Computing Architecture
The broad divisions of cloud architecture are:
Front-end
Back-end
It is the responsibilityof the back-end to provide the security of data for cloud users along with the traffic control
mechanism.The server also provides the middleware which helps to connectdevices & communicate with each
other.
Figure - Cloud Computing Architecture:
15. Govindyadav
Front End
Front-end is the side that is visible to the client, customer, or user. Front-
end pieces include the user interface and the client’s computersystem or
network that is used for accessing the cloud system. You have probably
noticed that differentcloud computing systems use differentuser
interfaces—forexample, not only can you choose from a variety of web
browsers (including Chrome, Safari, Firefox,etc.), but the Google Docs
user interface is differentthan that of Salesforce.
16. Govindyadav
Back End---
On the other hand, the back-end pieces are on the side
used by the service provider. These include various
servers, computers, data storage systems, virtual
machines, and programs that together constitute the cloud
of computing services. The back-end side also is
responsible for providing security mechanisms, traffic
control, and protocols that connect networked computers
for communication.
Que:---Types of Cloud
Cloud computing is an Internet-based computing in which shared the pool
of resources are available over a broad network access,these resources
can e provisioned or released with minimum management efforts and
service provider interaction.
There are four types of cloud:
1. Public cloud
2. Private cloud
3. Hybrid cloud
4. Community cloud
Public cloud:
Public cloud are managed by third parties which provide cloud services
over the internet to public, these services are available as pay-as-you-go
billing mode.
They offersolutions for minimizing IT infrastructure costs and act as a good
option for handling peak loads on the local infrastructure. They are a goto
option for small enterprises,which are able to start their businesses without
large upfront investments by completelyrelying on public infrastructure for
their IT needs.
A fundamental characteristic of public clouds is multitenancy.A public
cloud is meant to serve multiple users, not a single customer.A user
requires a virtual computing environment that is separated,and most likely
isolated, from other users.
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Private cloud :
Private clouds are distributed systems that work on a private infrastructure
and providing the users with dynamic provisioning of computing resources.
Instead of a pay-as-you-go modelas in public clouds,there could be other
schemes in that take into account the usage of the cloud and proportionally
billing the differentdepartments or sections of an enterprise.
Hybrid cloud:
Hybrid cloud is a heterogeneous distributed system resulted by combining
facilities of public cloud and private cloud. For this reason they are also called.
Community cloud:
A community cloud in computing is a collaborative effortin which infrastructure is
shared between several organizations from a specificcommunity with common
concerns,whether managed internally or by a third-party and hosted internally or
externally.
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The cloud computing portability and interoperability categories to consider
are thus:
Data Portability
Application Portability
Platform Portability
Application Interoperability
Platform Interoperability
Management Interoperability
Publication and AcquisitionInteroperability
.Cloud computing business process management: is the use of (BPM)
tools that are delivered as software services (SaaS) over a
network. Cloud BPM business logicis deployed on an application server and
the businessdata resides in cloud storage.
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.Cloud service management and operations referto all the activities that an
organization does to plan, design,deliver, operate, and control the IT and cloud
services that it offers to customers. Service management includes the
operational aspects of your applications and services.
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Virtualization
Virtualization changes the hardware-software relations and is one of the foundational
elements of cloud computing technology that helps utilize cloud computing capabilities
to the full.
Storage Virtualizing
Using this technique gives the user an ability to pool the hardwarestoragespace
fromseveralinterconnected storagedevices into a simulated single storage
device that is managed fromone single command console. This storagetechnique
is often used in storagearea networks. Storagemanipulation in the cloud is
mostly used for backup, archiving, and recovering of data by hiding the real and
physicalcomplex storage architecture. Administrators can implement it with
softwareapplications or by employing hardwareand softwarehybrid appliances.
Server Virtualization
This technique is the masking of server resources. Itsimulates physicalservers by
changing their identity, numbers, processorsand operating systems. This spares
the user fromcontinuously managing complex server resources. Italso makes a
lot of resources available for sharing and utilizing, while maintaining the capacity
to expand them when needed.
Data Virtualization
This kind of cloud computing virtualization technique is abstracting the technical
details usually used in data management, such as location, performanceor
format, in favor of broader access and more resiliency that are directly related to
business needs.
Desktop Virtualizing
As compared to other types of virtualization in cloud computing, this model
enables you to emulate a workstation load, rather than a server. This allows the
user to access the desktop remotely. Since the workstation is essentially running
in a data center server, access to it can be both more secureand portable.
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Application Virtualization
Softwarevirtualization in cloud computing abstracts the application layer,
separating it fromthe operating system. This way the application can run in an
encapsulated formwithout being dependant upon the operating system
underneath. In addition to providing a level of isolation, an application created for
one OS can run on a completely different operating system.
.Virtualization benefits
Protectionfrom System Failures. Technologyis always at the risk of
crashing down at the wrong time. ...
Hassle-free Transferof Data. You can easily transfer data from a physical
storage to a virtual server, and vice versa. ...
Firewall and Security. ...
SmootherIT Operations. ...
Cost-Effective Strategy.
Virtual Local Area Network (VLAN):-
A virtual local area network (VLAN) is a logical group of workstations,
servers and network devices that appear to be on the same LAN despite
their geographicaldistribution. A VLAN allows a network of computers and
users to communicate in a simulated environment as if they exist in a single
LAN and are sharing a single broadcastand multicast domain. VLANs are
implemented to achieve scalability, security and ease of network
management and can quickly adapt to changes in network requirements
and relocation of workstations and server nodes.
Higher-end switches allow the functionality and implementation of VLANs.
The purpose of implementing a VLAN is to improve the performance of a
network or apply appropriate security features.
The key benefits of implementing VLANs include:
Allowing network administrators to apply additional security to
network communication
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Making expansion and relocation of a network or a network device
easier
Providing flexibility because administrators are able to configure in a
centralized environment while the devices might be located in
differentgeographicallocations
Decreasing the latency and traffic load on the network and the
network devices,offering increased performance
VLANs also have some disadvantages and limitations
as listed below:
High risk of virus issues because one infected system may spread a
virus through the whole logical network
Equipmentlimitations in very large networks because additional
routers might be needed to control the workload
More effective at controlling latency than a WAN, but less efficient
than a LAN
Virtual SAN (VSAN) is radically simple,hyper-converged storage for
virtualized environments. Hyper-converged Infrastructure (HCI) leverages
the hypervisor to deliver compute,networking and shared storage from a
single x86 platform. In addition to being incredibly simple to deployand
provision, Virtual SAN allows you to scale storage and compute resources,
eliminating costly forklift upgrades. Every VSAN cluster can scale out one
node at a time or scale up by adding capacity to existing hosts, and
achieve over 8 PB of raw storage capacity.
simplicity, agility, manageability and cost savings
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UNIT-5
MARKET BASED MANAGEMENT OF CLOUD
The Real Potential of cloud computing resides is the fact that it actually facilitates
the establishment of a market for trading IT utilities.
Market oriented cloud computing (MOCC):-
Market oriented cloud computing is the presence of a virtual market place where
IT Service are trader and dynamically.
Reference model of market oriented cloud computing (MOCC):-
MOCC originated from the coordination of several components service consumers,
service providers, and other entities that make trading between these two groups
possible.
There are three major components of cloud exchange are:-
• Directory:-the market directory contains a listing of all the published
services that are available in the cloud marketplace.
• Auctioneer:-the auctioneer is in charge of keeping track of the running auctions in
the market place and of verifying that the auctions for services are properly conducted and
that malicious market players are prevented from performing illegal activities.
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Bank:-the bank is the component that takes care of the financial aspectof all
the operations happening in the virtual market place.
Marketoriented architecture for datacenters:-
The major components of architecture are:-
• Brokers:-they submit their service requests from anywhere in the world to
the cloud.
• SLA resource allocator:-it is a kind of interface between users and cloud
service provider which enable the SLA oriented resource management.
• Service requestexaminer and admission control:-it interprets the
submitted request for QoS requirement before determining whether to accept or
reject the request. Based on the resource availability in the loud and other
parameter decide.
• Pricing:-it is in charge of billing based on the resourceutilization and some
factors. Some factor are request time, type etc.
• Accounting:-maintains the actual storage usage of resources by request so
that the final coat can be charged to the users.
• VM monitor:-keeps the track on the availability of VMs and their
resources.
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• Dispatcher:-the dispatcher mechanism starts the execution of admitted
requests on allocated VMs.
• Cloud request monitor:-it keeps the track on execution of request in order
to be in tune with SLA.
WHY CLOUD FEDERATION?
CLOUD FEDERATION STACK
Creating a cloud federation involves research and development at different levels: conceptual,
logical and operational, and infrastructural.
Third Party Cloud Services :
A cloud service provider is a third-partycompanyofferinga cloud-based
platform, infrastructure, application or storage services. Much like a
homeowner wouldpay for a utility such as electricityor gas, companies
typicallyhave to only pay for the amount of cloud services they use, as
business demands require.
Apart from the pay-per-use model, cloud service providers also give
companies a wide range of benefits. Businesses can take advantage of
scalabilityandflexibilityby not being limitedto physical constraints of on-
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premises servers, the reliabilityof multiple data centres with multiple
redundancies, customisation by configuringservers to your preferences and
responsive load balancingthat can easilyrespond to changingdemands.
However, businesses shouldalso evaluate the security considerations of
storing information in the cloud to ensure that industry-recommended
access and compliance managementconfigurations andpractices are
enacted and met.