An Agent Based Virtual Machine Migration Process for Cloud Environment

Singh, Gurpreet; Malhotra, Manisha; Sharma, Ajay

doi:10.1109/iot-siu.2019.8777706

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…Opportunistic load balancing (OLB), Minimum Execution Time (MET), and MCT do not provide conducting migration 49 . The authors of Reference 50 address task migration as a crucial load‐balancing issue. Virtual machines transfer data and tasks.…”

Section: Related Workmentioning

confidence: 99%

Energy‐efficient sender‐initiated threshold‐based load balancing (e‐STLB) in cloud computing environment

Malla,

Sheikh,

Shahid

et al. 2023

Concurrency and Computation

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SummaryCloud computing has transformed service delivery through its pay‐per‐use model, supporting diverse users with multiple heterogeneous Virtual Machines (VMs). However, energy consumption has emerged as a critical concern, necessitating cloud resource optimization for environment‐friendly practices. This research paper presents an innovative energy‐efficient threshold‐based sender‐initiated load‐balancing strategy (e‐STLB) to address this concern. The approach employs threshold values to trigger task migration between VMs, ensuring optimal performance while maximizing energy efficiency. The proposed strategy significantly reduces Makespan and increases Resource Utilization in an energy‐conscious manner. Experimental evaluations using Cloudsim 3.0 demonstrate that the e‐STLB outperforms other state‐of‐the‐art solutions, offering a compelling approach to sustainable cloud computing.

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Section: Related Workmentioning

confidence: 99%

Energy‐efficient sender‐initiated threshold‐based load balancing (e‐STLB) in cloud computing environment

Malla,

Sheikh,

Shahid

et al. 2023

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…Additionally, the authors in another work 36 introduced a novel strategy for the migration process based on the agents. The stated heuristic takes the least migration time to shift a load of the source VM to the destination VM.…”

Section: Review Of Literaturementioning

confidence: 99%

Analysis of QoS aware energy‐efficient resource provisioning techniques in cloud computing

Malla

Sheikh

2022

Int J Communication

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Summary By incorporating on‐demand resources, software and data for collaborative services through the Internet, the conventional Information Technology enterprise has been transformed by cloud computing. Based on the pay‐per‐use approach, Infrastructure, platform or Software resources and servers located across data centres are among the several types of resources offered to consumers in cloud computing. Data centres handle these resources. These resources are constantly provisioned to users based on their availability, demand, and quality requirements. Cloud computing systems are known as one of the largest utilisers of energy resources all over the world. Also, power consumption has become a crucial aspect as most cloud computing systems work on traditional nonrenewable resources of energy. In order to make data centres environment‐friendly, there is a need for optimal approaches to reduce energy consumption and their hazardous effects on the environment. To analyse different available strategies for building and maintaining an energy‐efficient cloud is the main objective of this paper. The paper will comprehensively review several energy‐efficient resource provisioning methods and provide a graphical comparative study of Quality of Service (QoS) Metrics in cloud computing. Moreover, the present study identifies the areas of study that need to be further improved to increase the energy efficiency of cloud computing systems.

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“…In order to get better performance and achieve good QoS [9] used SLA based strategy for VM selection, which makes use of a method for detection of VM which are underload using single and double pass optimization function. [10] made use of directory agents, which minimizes migration time of VMs. In this approach a mobile agent will maintain the record of each and every occurrence of all VMs present in the cloud.…”

Section: Related Studymentioning

confidence: 99%

Effective Load Balancing Mechanism for Migration of Virtual Machine in Dynamic Cloud Environment

D¹

2022

JUSST

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Cloud Computing is a technology which is widely been used by most of the organizations to carry out their business and day by day many users are using cloud to perform their day to day activities, this increases the load on the virtual machines in the data centers to effectively perform load balancing, such that resources are effectively utilized. In this paper we proposed an algorithm for dynamically handling the load balancing in the virtual machines migration at the data centers such that the processing time, response time, data transfer cost is being minimized. The results after simulation clearly shows that the proposed system has better load balancing of resources in dynamic cloud environment.

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An Agent Based Virtual Machine Migration Process for Cloud Environment

Cited by 8 publications

References 14 publications

Energy‐efficient sender‐initiated threshold‐based load balancing (e‐STLB) in cloud computing environment

Energy‐efficient sender‐initiated threshold‐based load balancing (e‐STLB) in cloud computing environment

Analysis of QoS aware energy‐efficient resource provisioning techniques in cloud computing

Effective Load Balancing Mechanism for Migration of Virtual Machine in Dynamic Cloud Environment

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