A small world based overlay network for improving dynamic load-balancing

Daraghmi, Eman; Yuan, Shyan-Ming

doi:10.1016/j.jss.2015.06.001

Cited by 53 publications

(26 citation statements)

References 26 publications

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“…Daraghmi and Yuan tried to improve the performance of the load‐balancing algorithm . They considered the network structure in addition to the technical factors of load balancing.…”

Section: Related Workmentioning

confidence: 99%

“…25 Now, we address the load-balancing algorithms. A lot of related work has been done on load balancing with different objectives such as reducing response time, 3,26,27 scalability, 26,28 and reducing migration time of requests. 28,29 Since our objective in load balancing is to reduce the response time, we state some new studies in this field.…”

Section: Related Workmentioning

confidence: 99%

“…Daraghmi and Yuan tried to improve the performance of the load-balancing algorithm. 27 They considered the network structure in addition to the technical factors of load balancing. Thus, they provided a method which was efficiently applicable in the network and reduced the level of overhead in the network in addition to reducing response time.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

A PSO‐based task scheduling algorithm improved using a load‐balancing technique for the cloud computing environment

Ebadifard

Babamir

2017

Concurrency and Computation

126

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Summary Dynamic on‐demand resource provisioning is one of the primary goals of the cloud computing task scheduling process. Task scheduling is a nondeterministic polynomial time (NP)‐hard problem and is responsible for assigning tasks to virtual machines (VMs) in a way that increases the resource utilization and performance, reduces response time, and keeps the whole system balanced. In this paper, we present a static task scheduling method based on the particle swarm optimization (PSO) algorithm where the tasks are assumed to be non‐preemptive and independent. We have improved the performance of the basic PSO method using a load‐balancing technique. We have compared our proposed method with round robin (RR) task scheduling, improved PSO task scheduling and a load‐balancing technique. The simulation results show that our method outperforms these algorithms by an increase of resource utilization of 22% and a decrease of makespan by 33%, compared with the basic PSO algorithm. The results illustrate that our proposed method converges to the near optimal solution faster than the basic PSO algorithm and is more efficacious with more tasks.

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“…Daraghmi and Yuan tried to improve the performance of the load‐balancing algorithm . They considered the network structure in addition to the technical factors of load balancing.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A PSO‐based task scheduling algorithm improved using a load‐balancing technique for the cloud computing environment

Ebadifard

Babamir

2017

Concurrency and Computation

126

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“…6,50 Throughput: During a given period of time, the amount of data that has been correctly transmitted from one place to another is called throughput. [51][52][53] Utilization: A degree to which network resources are used such as bandwidth, link, memory, and utilization of CPU is called utilization. Load balancing can help to provide maximum resource utilization.…”

Section: Parameters Of Load Balancingmentioning

confidence: 99%

Nature‐inspired meta‐heuristic algorithms for solving the load balancing problem in the software‐defined network

Neghabi

Navimipour

Hosseinzadeh

et al. 2019

Int J Communication

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The growth of the networks has difficult network management. Recently, a concept called software-defined network (SDN) has been proposed to address this issue, which makes network management more adaptable. Control and forwarding planes are separated in SDN. The control plane is a centralized logical controller that controls the network. The forwarding plane that consists of transfer devices is responsible for transmitting packets. Because the network resources are limited, optimizing the use of resources in the networks is an important issue. Load balancing improves the balanced distribution of loads across multiple resources in order to maximize the reliability and network resources efficiency. SDN controllers can create an optimal load balancing compared to traditional networks because they have a network global view. The load-balancing problem can be solved using many different natureinspired meta-heuristic techniques because it has the NP-complete nature.Hence, for solving load balancing problem in SDN, nature-inspired metaheuristic techniques are important methods. However, to the best of our knowledge, there is not a survey or systematic review on studying these matters. Accordingly, in the area of the load balancing in the SDN, this paper reviews systematically the nature-inspired meta-heuristic techniques. Also, this study demonstrates advantages and disadvantages regarded of the chosen nature-inspired meta-heuristic techniques and considers their algorithms metrics. Moreover, to apply better load balancing techniques in the future, the important challenges of these techniques have been investigated.

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“…It suffers from high response time. Daraghmi and Yuan proposed functional small world techniques. It uses small world network operation and node service method for achieving high throughput.…”

Section: Related Workmentioning

confidence: 99%

Magnum opus of an efficient hospitality technique for load balancing in cloud environment

Sakthivelmurugan

Vimala

Britto

2018

Concurrency and Computation

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Summary The load balancing approach in the cloud environment is an open issue in the recent days. It helps obtain better resource utilization in cloud environment. It also improves the performance of the system. A good load balancing algorithm in cloud ensures no under loading or over loading in a single host. This paper proposes an algorithm named Hospitality Load Balancing (HLB) algorithm, which aims to balance the load among virtual machines (VM) for increasing the performance and throughput. The proposed algorithm handles preemptive or nonpreemptive tasks, which may be independent. It helps to reduce make span and obtain low task migration. The HLB algorithm has been analyzed and compared with plenty of load balancing technique. An experimental result shows that it is an excellent and effective algorithm when compared with the existing load balancing algorithm. It also illustrates the performance of proposed load balancing scheme with analysis and proves that it attains low makespan and low task migration.

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A small world based overlay network for improving dynamic load-balancing

Cited by 53 publications

References 26 publications

A PSO‐based task scheduling algorithm improved using a load‐balancing technique for the cloud computing environment

A PSO‐based task scheduling algorithm improved using a load‐balancing technique for the cloud computing environment

Nature‐inspired meta‐heuristic algorithms for solving the load balancing problem in the software‐defined network

Magnum opus of an efficient hospitality technique for load balancing in cloud environment

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