A load balancing model based on cloud partitioning for the public cloud

Xu, Gaochao; Pang, Junjie; Fu, Xiaodong

doi:10.1109/tst.2013.6449405

Cited by 147 publications

(76 citation statements)

References 8 publications

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“…It improves the efficiency and the performance in terms of execution time. Xu et al (2013) proposed a cloud partitioning based load balancing conceptual framework for a large public cloud. It creates separate load balancer for each partition, all of which are controlled by a main controller.…”

Section: Related Workmentioning

confidence: 99%

Application of Viral System Algorithm in Load Balancing of Cloud Environment

Tiwari¹,

Singh²,

Sharma³

2018

Journal of Computer Science

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Abstract:As the cloud computing technology is gaining popularity with time, more and more users and applications are shifting towards it. This is why clouds are experiencing high load, which demands for load balancing of user tasks submitted to cloud for execution. This makes load balancing of non-preemptive tasks a key issue in cloud computing. Superior task scheduling leads to balanced loads among cloud nodes, which results in faster execution of tasks. Task scheduling in cloud environment is an instance of NP-hard optimization problem. When few nodes in a cloud are overloaded whereas other nodes are under loaded then in such situation the performance of overloaded VMs is diminished. It demands a task scheduling so that the incoming tasks can be distributed uniformly across virtual machines (VMs) for proper utilization of available resources. In this study, we propose a novel load balancing algorithm named Viral System Based Load Balancing (VSB-LB) algorithm, which is based on bio-inspired viral system algorithm that distributes the tasks uniformly among VMs. The proposed algorithm is compared with basic load balancing algorithms such as First Come First Serve (FCFS), Weighted Round Robin (WRR) as well as newer bio-inspired Load balance Aware Genetic Algorithm (LAGA) to show its effectiveness. Simulation results proved that VSBLB outperforms FCFS and WRR and LAGA for performing load balancing.

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Section: Related Workmentioning

confidence: 99%

Application of Viral System Algorithm in Load Balancing of Cloud Environment

Tiwari¹,

Singh²,

Sharma³

2018

Journal of Computer Science

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“…In the works [5] Author Gaochao Xu and his team believe in environmental load balancing cloud computing has a significant impact on the performance of the system. Good load balancing makes cloud computing more effectively and improve the satisfaction of users.…”

Section: Related Workmentioning

confidence: 99%

“…Good load balancing makes cloud computing more effectively and improve the satisfaction of users. This work [5] introduced a load balancing model for the Public Cloud based on the concept of Cloud Partitioning with a conversion mechanism to choose different strategies for different situations. The division cloud into partitions will contribute to building load-balancing strategy is effective.…”

Section: Related Workmentioning

confidence: 99%

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Study the Effect of Parameters to Load Balancing in Cloud Computing

Hung¹,

Phi²

2016

IJCNC

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“…The definition of cloud computing [1] provided by National Institute of Standards and Technology (NIST) says that: "Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage applicationsand services) that can be rapidly provisioned andreleased with minimal management effort or serviceprovider interaction." So through this cloudcomputing there is no need to store the data ondesktops, portables etc.…”

Section: Introduction A) What Is Cloud Computing?mentioning

confidence: 99%