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Multi-objective Optimization of Composing Tasks from Distributed Workflows in Cloud Computing Networks

  • V. Murali MohanEmail author
  • K. V. V. Satyanarayana
Conference paper
  • 15 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1090)

Abstract

This manuscript proposed and explored a novel strategy for optimizing the composition of tasks from distributed workflows to achieve parallel execution, optimality toward resource utilization. The critical objective of the proposal is to optimize the task sequences from the workflows initiated to execute parallel in distributed RDF environment, which is unique regard to the earlier contributions related to parallel query planning and execution strategies found in contemporary literature. All of these existing models are aimed to notify the tasks from the given workflow, which are less significant to optimize the parallel execution of the multiple tasks located in distributed workflows. In order to this, the multi-objective optimization of composing task (MOCT) sequences from distributed workflows is proposed. The MOCT optimizes the execution of tasks from multiple workflows initiated in parallel. A novel scale called “task sequence consistency score” uses the order of other metric task sequence coverages, dependency scope, and lifespan as input. The experiments are conducted on the proposed model, and other benchmark models are found in contemporary literature. The results are obtained from the experimental study evincing that the MOCT is significant and robust to optimize the task sequences in order to execute distribute workflows in parallel. The comparative analysis of the results is obtained from MOCT, and other contemporary models are performed using ANOVA standards like t-test and Wilcoxon signed-rank test.

Keywords

MOCT ANOVA Directed acyclic graph Ant colony optimization Genetic algorithm PSO LMBPSO 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringKoneru Lakshmaiah Education FoundationGunturIndia

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