Batch scheduling model for distributed systems

Alam, Taj; Raza, Zahid

doi:10.1109/pdgc.2016.7913119

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…The biological heuristic algorithms [36-43-44] are effective way for working out this engineering problem, such as CS [45], BA [13], GSO [46], BFO [47], PSO [48] and ABC [49] et al Most engineering problems are muti-objective optimization problems. In practical engineering, obtaining the optimal solution of these problems has always been the focus of academic and engineering circles.…”

Section: Related Workmentioning

confidence: 99%

Research on Low-energy Adaptive Clustering Hierarchy Protocol based on Multi-objective Coupling Algorithm

2020

KSII TIIS

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Wireless Sensor Networks (WSN) is a distributed Sensor network whose terminals are sensors that can sense and check the environment. Sensors are typically battery-powered and deployed in where the batteries are difficult to replace. Therefore, maximize the consumption of node energy and extend the network's life cycle are the problems that must to face. Low-energy adaptive clustering hierarchy (LEACH) protocol is an adaptive clustering topology algorithm, which can make the nodes in the network consume energy in a relatively balanced way and prolong the network lifetime. In this paper, the novel multi-objective LEACH protocol is proposed, in order to solve the proposed protocol, we design a multi-objective coupling algorithm based on bat algorithm (BA), glowworm swarm optimization algorithm (GSO) and bacterial foraging optimization algorithm (BFO). The advantages of BA, GSO and BFO are inherited in the multi-objective coupling algorithm (MBGF), which is tested on ZDT and SCH benchmarks, the results are shown the MBGF is superior. Then the multi-objective coupling algorithm is applied in the multi-objective LEACH protocol, experimental results show that the multi-objective LEACH protocol can greatly reduce the energy consumption of the node and prolong the network life cycle.

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Section: Related Workmentioning

confidence: 99%

Research on Low-energy Adaptive Clustering Hierarchy Protocol based on Multi-objective Coupling Algorithm

2020

KSII TIIS

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Batch Crowdsourcing for Complex Tasks Based on Distributed Team Formation in E-Markets

Jiang

et al. 2022

IEEE Trans. Parallel Distrib. Syst.

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A Load Balancing Strategy with Migration Cost for Independent Batch of Tasks (BoT) on Heterogeneous Multiprocessor Interconnection Networks

Alam¹,

Shahid

2017

International Journal of Applied Evolutionary Computation

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In high performance computing, heterogeneous Multiprocessor Interconnection Networks (MINs) are used for processing of compute intensive applications. These applications are distributed on the heterogeneous computational processors of MINs arranged in specific geometrical shape. MINs are also used for transfer task between two processors in a heterogeneous multistage network for better load balancing. Load balancing algorithm plays a vital role in interconnection network in order to minimize the load imbalance on the processors. In this paper, a Load Balancing Strategy with Migration cost (LBSM) is proposed to execute an independent batch of tasks on various heterogeneous MINs viz. MetaCube, X-Torus and Folded Crossed Cube having the objective of minimizing the load imbalance on processors. In simulation study, LBSM is compared with its previous work DLBS and superior performance is shown with the considered parameters under study. Further, the performance analysis of LBSM has been conducted on MetaCube, X-Torus and Folded Crossed Cube and results have been reported accordingly.

show abstract

Batch scheduling model for distributed systems

Cited by 3 publications

References 12 publications

Research on Low-energy Adaptive Clustering Hierarchy Protocol based on Multi-objective Coupling Algorithm

Research on Low-energy Adaptive Clustering Hierarchy Protocol based on Multi-objective Coupling Algorithm

Batch Crowdsourcing for Complex Tasks Based on Distributed Team Formation in E-Markets

A Load Balancing Strategy with Migration Cost for Independent Batch of Tasks (BoT) on Heterogeneous Multiprocessor Interconnection Networks

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