Utilizing Round Robin Concept for Load Balancing Algorithm at Virtual Machine Level in Cloud Environment

Dave, Stuti; Maheta, Prashant D.

doi:10.5120/16332-5612

Cited by 15 publications

(7 citation statements)

References 7 publications

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“…Modified Active Monitoring algorithm is based on Active monitoring algorithm. The core point of this load Collate algorithm to find the VM with least Load along with the process to allocate free VM to any request so that optimum utilization of the virtual machine is done [11]. It checks the least loaded VM to serve the request simultaneously considering the previous allocation.…”

Section: )Modified Active Monitoring Algorithmmentioning

confidence: 99%

“…Which can be deduced by the help of the algorithm execution round? In this algorithm, first of all, ready-queue initialized burst time lists, Time Quantum (TQ), VM-state list, no of rounds [11]. Then allocate the VM to request in the ready queue according to the no.…”

Section: )Fair Round-robinmentioning

confidence: 99%

“…A very good paper [11] to understand the basic Round Robin algorithm and many other algorithms based on the existing Round Robin algorithm. The suggested algorithm follows a simple concept of implementation of Time Quantum based on algorithm execution round.In this algorithm, first of all, we initialize ready-queue, burst time list, Time Quantum (TQ), VM-state list, no of the round.…”

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confidence: 99%

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Dynamic Load Balancing by Round Robin and Warshall Algorithm in Cloud Computing

2019

IJITEE

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Cloud Computing is a well- known technology that delivers scalable, fault–tolerant, consistent, secure and reliable computational services. Cloud figure out grants its services in subscriptions means user have to pay as much they use. Due to the continuously progressing and increasing area, cloud figure out is a very good topic for researchers. The main area of interest in cloud figure out is virtualization, collates, software defined network, network function virtualization and many more. There are limited load collates algorithms are used in cloud, and all algorithms having its own advantages and disadvantages. This is the requirement of time to invent a new efficient algorithm in load collate in cloud figure out, through which we can get maximum throughput, minimum response time, etc. Here in this research paper authors are proposing a new approach of dynamic load collate, which mainly depends on the distance between datacenter to host. Simulation is done by CloudSim toolkit. Authentication and effectiveness of the proposed load collate algorithm are checked by comparative analysis with existing load collate algorithm.

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Section: )Modified Active Monitoring Algorithmmentioning

confidence: 99%

Section: )Fair Round-robinmentioning

confidence: 99%

mentioning

confidence: 99%

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Dynamic Load Balancing by Round Robin and Warshall Algorithm in Cloud Computing

2019

IJITEE

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“…So, we require the accurate solution for overloading problem on different data center for distributing load across multiple data centers. Distributed computing has various advantages for user's requirements and applications (Dave and Maheta, 2014). In centralized data center all load is allocated and scheduled on single data center so this data center is used for sharing cloud network and can apply static and dynamic load balancing approaches.…”

Section: Introductionmentioning

confidence: 99%

Experimental Model of Distributed Service Broker Policy Algorithm in Cloud based Centralized and Distributed Data Center

Dubey¹,

Dahiya²,

Jain³

2019

J. Eng. Appl. Sci.

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In recent years cloud computing is a very advanced technique to distribute workload among all the data centers and also balance those data center very smoothly. To improve the performance of data centers, load balancing is used to distribute workload of arrival requests on data centers equally in the computing environment. Load balancing has aim to minimize the response time among the users from different data centers and also improve resource utilization by using cloud resources. Cloud based data centers always require efficient load balancing strategies to reduce work load on Virtual Machines (VM). Researchers proposed various load balancing algorithms to optimize different parameters. In this study, we are proposing a distributed service broker policy algorithm which gives better result in centralized and distributed data center environment, considers cloud resources for specific demands and also reduces work load on virtual machines. There are so many VM load balancing algorithms have compared by using different data center broker policies. A cloud analyst simulator, simulate these algorithms and then accurate result will be showed. Experimental results have shown that our proposed Distributed Service Broker Policy (DSBP) algorithm in terms of execution time, response time, throughput, cost as compared to existing round robin, active monitoring and throttled algorithms. The experiments have been done using cloud analyst simulator and comparative analysis is evaluated based on our proposed DSBP algorithm and the results are presented in detail.

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“…In 2014, Stuti Dave et al suggested to use the round robin concept for load balancing at virtual machine level in cloud environment [7]. In this paper, the author specifies an improved round robin algorithm that id Fair Round Robin Algorithm that provides simplest solution to load balancing in cloud computing.…”

Section: Existing Load Balancing Algorithms In Cloud Computing Using mentioning

confidence: 99%

A Survey of Soft Computing Techniques based Load Balancing in Cloud Computing

Pilavare¹,

Desai²

2015

IJCA

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Cloud computing has become a new style of computing over the internet. There are so much advantages to use cloud over the internet as well as some critical issues are also there those must be resolved in order to improve the performance of the cloud. Cloud computing faces several issues over the internet those are like load management, task scheduling, fault tolerance, several security issues are there. Among them the load balancing is one of the main issue to be resolved in the order to improve the efficiency of the cloud. The load balancing describes that the dynamic workload of the system is distributed among various nodes in such a manner that none of the node is overloaded or underutilized. The load may be CPU load, memory capacity, delay or network load. There are various load balancing algorithms are designed to equally divide the load among the resources and maximize the utilization while minimizing the total task execution time. The new concept was discussed earlier that was using soft computing techniques to perform enhanced load balancing in cloud computing. Various load balancing algorithms are discussed here and comparative study is done on the basis of their performance.

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Utilizing Round Robin Concept for Load Balancing Algorithm at Virtual Machine Level in Cloud Environment

Cited by 15 publications

References 7 publications

Dynamic Load Balancing by Round Robin and Warshall Algorithm in Cloud Computing

Dynamic Load Balancing by Round Robin and Warshall Algorithm in Cloud Computing

Experimental Model of Distributed Service Broker Policy Algorithm in Cloud based Centralized and Distributed Data Center

A Survey of Soft Computing Techniques based Load Balancing in Cloud Computing

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