The Experts below are selected from a list of 90 Experts worldwide ranked by ideXlab platform

P. Jayarekha - One of the best experts on this subject based on the ideXlab platform.

  • Virtual Machine migration based load balancing for resource management and scalability in cloud environment
    International Journal of Information Technology, 2020
    Co-Authors: Nagamani H. Shahapure, P. Jayarekha
    Abstract:

    Performance of a cloud mainly depends on the Quality of Service it provides. Some of the essential parameters are execution time and bandwidth. These factors help to provide higher availability of quality services, faster delivery and appropriate resource management. The ever increasing demand for the resources causes the Machines to overload. This lowers the performance of the cloud data center. The cloud data centers, however, use virtualization technology to meet the ever growing demands. Load balancing is implemented to maintain the scalability and availability of the system. This paper proposes a virtual Machine migration based load balancing algorithm for resource management. This approach implements migration based on the load. The load is continuously monitored. The overloaded Machine is selected as the source Machine from where the load is migrated. The underutilized Machine is selected as the Destination Machine to which the load is transferred. This technique helps to achieve the resource management objectives such as load balancing, scalability, fault tolerance and system maintenance. This algorithm reduces the degradation in performance of the data centers. This not only improves the availability but also increases the throughput, bandwidth utility. The evaluation results show that the proposed system outperforms in the parameters like execution time and resource utilization.

Nagamani H. Shahapure - One of the best experts on this subject based on the ideXlab platform.

  • Virtual Machine migration based load balancing for resource management and scalability in cloud environment
    International Journal of Information Technology, 2020
    Co-Authors: Nagamani H. Shahapure, P. Jayarekha
    Abstract:

    Performance of a cloud mainly depends on the Quality of Service it provides. Some of the essential parameters are execution time and bandwidth. These factors help to provide higher availability of quality services, faster delivery and appropriate resource management. The ever increasing demand for the resources causes the Machines to overload. This lowers the performance of the cloud data center. The cloud data centers, however, use virtualization technology to meet the ever growing demands. Load balancing is implemented to maintain the scalability and availability of the system. This paper proposes a virtual Machine migration based load balancing algorithm for resource management. This approach implements migration based on the load. The load is continuously monitored. The overloaded Machine is selected as the source Machine from where the load is migrated. The underutilized Machine is selected as the Destination Machine to which the load is transferred. This technique helps to achieve the resource management objectives such as load balancing, scalability, fault tolerance and system maintenance. This algorithm reduces the degradation in performance of the data centers. This not only improves the availability but also increases the throughput, bandwidth utility. The evaluation results show that the proposed system outperforms in the parameters like execution time and resource utilization.

Sunil Kumar Dhal - One of the best experts on this subject based on the ideXlab platform.

  • A Study on Security Vulnerability on Cloud Platforms
    Procedia Computer Science, 2016
    Co-Authors: Santosh Kumar Majhi, Sunil Kumar Dhal
    Abstract:

    Cloud computing provides an in-built platform to the users with easy and on-demand access to different system level services for creating virtual Machines (VM) with efficient utilization of hardware, computing and network resources. This allows users to remotely execute large number of applications across various domains such as, health-care, utility services, e-governance, etc. There are different cloud operating platforms for creation and management of virtual Machines through various system or application services. For example, openstack, oracle virtualbox, Microsoft HyperV are widely used operating platform. Virtual Machine migration (VMM) is one of such important system services that used for smooth the progress of system maintenance, load management, fault tolerance, secure and safe service offerings. Virtual Machine live migration service transfers an active VM from one physical Machine to another across different data centres. It involves a sequence of operations in iteration for migrating execution context of a VM to the Destination Machine. These operations are dependent on schedule, availability of resources and overall timing constraints. On the other hand, the migration process involves transferring the control data over a communication channel with a shared storage. Due to the above mentioned complexities of VM migration process, any security failures during the migration may cause transfer of incorrect VM instance to a data centre and which in turn may lead to exposure of the data centre to the attackers. This may be manifested as catastrophic system failure, degradation of system performance, load balancing and in long run may result collapse of the data centre. In this paper we studied various security vulnerability in different cloud platforms. These vulnerability will help the security developers to design a secured cloud platform.

  • A Security State Transfer Model for Virtual Machine Migration in Cloud Infrastructure
    International Journal of Computer Applications, 2015
    Co-Authors: Santosh Kumar Majhi, Sunil Kumar Dhal
    Abstract:

    Virtual Machine migration (VMM) is one of important services is used as a tool to facilitate system maintenance, load balancing, fault tolerance, on-demand service offerings. Live VMM transfers an active Virtual Machine (VM) from one physical host to another across different data centres. It involves a sequence of operations in iteration under a specific protocol/method for migrating execution context (active memory) and control data of a VM to the Destination Machine. These operations are dependent on data transfer schedule, availability of resources and overall timing constraints. The migration process is implemented by establishing shared network storage and/or a network communication channel. Along with the execution context the security configuration of the VM need to be transferred. In this paper we have proposed a security context migration framework. Both the static as well as dynamic security context is considered for migration.

  • A security context migration framework for Virtual Machine migration
    2015 International Conference on Computing and Network Communications (CoCoNet), 2015
    Co-Authors: Santosh Kumar Majhi, Sunil Kumar Dhal
    Abstract:

    Virtual Machine migration (VMM) is one of important services is used as a tool to facilitate system maintenance, load balancing, fault tolerance, on-demand service offerings. Live VMM transfers an active Virtual Machine (VM) from one physical host to another across different data centers. It involves a sequence of operations in iteration under a specific protocol/method for migrating execution context (active memory) and control data of a VM to the Destination Machine. These operations are dependent on data transfer schedule, availability of resources and overall timing constraints. The migration process is implemented by establishing shared network storage and/or a network communication channel. Along with the execution context the security configuration of the VM need to be transferred. In this paper we have proposed a security context migration framework. Both the static as well as dynamic security context is considered for migration.

Santosh Kumar Majhi - One of the best experts on this subject based on the ideXlab platform.

  • A Study on Security Vulnerability on Cloud Platforms
    Procedia Computer Science, 2016
    Co-Authors: Santosh Kumar Majhi, Sunil Kumar Dhal
    Abstract:

    Cloud computing provides an in-built platform to the users with easy and on-demand access to different system level services for creating virtual Machines (VM) with efficient utilization of hardware, computing and network resources. This allows users to remotely execute large number of applications across various domains such as, health-care, utility services, e-governance, etc. There are different cloud operating platforms for creation and management of virtual Machines through various system or application services. For example, openstack, oracle virtualbox, Microsoft HyperV are widely used operating platform. Virtual Machine migration (VMM) is one of such important system services that used for smooth the progress of system maintenance, load management, fault tolerance, secure and safe service offerings. Virtual Machine live migration service transfers an active VM from one physical Machine to another across different data centres. It involves a sequence of operations in iteration for migrating execution context of a VM to the Destination Machine. These operations are dependent on schedule, availability of resources and overall timing constraints. On the other hand, the migration process involves transferring the control data over a communication channel with a shared storage. Due to the above mentioned complexities of VM migration process, any security failures during the migration may cause transfer of incorrect VM instance to a data centre and which in turn may lead to exposure of the data centre to the attackers. This may be manifested as catastrophic system failure, degradation of system performance, load balancing and in long run may result collapse of the data centre. In this paper we studied various security vulnerability in different cloud platforms. These vulnerability will help the security developers to design a secured cloud platform.

  • A Security State Transfer Model for Virtual Machine Migration in Cloud Infrastructure
    International Journal of Computer Applications, 2015
    Co-Authors: Santosh Kumar Majhi, Sunil Kumar Dhal
    Abstract:

    Virtual Machine migration (VMM) is one of important services is used as a tool to facilitate system maintenance, load balancing, fault tolerance, on-demand service offerings. Live VMM transfers an active Virtual Machine (VM) from one physical host to another across different data centres. It involves a sequence of operations in iteration under a specific protocol/method for migrating execution context (active memory) and control data of a VM to the Destination Machine. These operations are dependent on data transfer schedule, availability of resources and overall timing constraints. The migration process is implemented by establishing shared network storage and/or a network communication channel. Along with the execution context the security configuration of the VM need to be transferred. In this paper we have proposed a security context migration framework. Both the static as well as dynamic security context is considered for migration.

  • A security context migration framework for Virtual Machine migration
    2015 International Conference on Computing and Network Communications (CoCoNet), 2015
    Co-Authors: Santosh Kumar Majhi, Sunil Kumar Dhal
    Abstract:

    Virtual Machine migration (VMM) is one of important services is used as a tool to facilitate system maintenance, load balancing, fault tolerance, on-demand service offerings. Live VMM transfers an active Virtual Machine (VM) from one physical host to another across different data centers. It involves a sequence of operations in iteration under a specific protocol/method for migrating execution context (active memory) and control data of a VM to the Destination Machine. These operations are dependent on data transfer schedule, availability of resources and overall timing constraints. The migration process is implemented by establishing shared network storage and/or a network communication channel. Along with the execution context the security configuration of the VM need to be transferred. In this paper we have proposed a security context migration framework. Both the static as well as dynamic security context is considered for migration.

Mohammad Atique - One of the best experts on this subject based on the ideXlab platform.

  • Grouping Based Load Balancing in Cloud Computing
    International journal of innovative research and development, 2016
    Co-Authors: Dipti Ajmire, Mohammad Atique
    Abstract:

    Cloud Computing is a new and inevitable technology in the fields of scientific, and engineering, and as well as in commercial, and industrial enterprises. In cloud computing there are many tasks that needs to be executed by the available resources to acquire high performance, reduce task completion time, minimize response time, utilization of resource usage and etc. However, user tasks developed for cloud might be small and of varying lengths according to their computational needs and other requirements. Process Migration is a technique whereby an active process is moved from one Machine to another of possibly different architecture. This necessitates the capture of the process’s current state of execution and recovering it on the Destination Machine in a manner understandable to it. My work mainly focuses on capture and recovery of the internal state of process, comprising of the execution and data state – activation history, and static and heap challenge to design an efficient scheduling strategy to achieve high performance in cloud computing. There are many existing algorithms for task scheduling but not reducing communication overhead time and computation time, and on the other hand maximizing resource utilization. The purpose of the study is to analyze and achieve better performance by taking new concept of grouping based task scheduling Therefore, this paper proposes “New Task Scheduling Grouping Base Model” with the objective of minimizing overhead time and computation time, thus reducing overall processing time of tasks.

  • Task Migration in Cloud Computing
    International journal of innovative research and development, 2013
    Co-Authors: Dipti Ajmire, Mohammad Atique
    Abstract:

    Heterogeneous Process Migration is a technique whereby an active process is moved from one Machine to another of possibly different architecture. This necessitates the capture of the process’s current state of execution and recovering it on the Destination Machine in a manner understandable to it. My work mainly focuses on capture and recovery of the internal state of process, comprising of the execution and data state – activation history, and static and heap data. The two major issues involved here are- the mechanism of process state capture and recovery and the initiation of the capture mechanism.