基于多云平台的工作负载调度资源利用最大化的蜻蜓软计算方法

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal on Information Technologies and Security Pub Date : 2023-03-01 DOI:10.59035/mbul3714

Arundhati Nelli, R. Jogdand

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引用次数: 0

摘要

在具有服务水平协议(SLA)需求的多云平台中执行实时工作负载是一项具有挑战性的任务。现有的工作负载调度模型已经解决了在应用程序可靠性前提下最小化执行时间、成本和精力的相关问题。然而，在多云平台下，这些模型在最大化资源利用方面效率不高。为了解决资源利用问题，本文提出了一种用于多云平台的工作负载调度资源利用最大化(WS-RUM)技术。WS-RUM技术利用多目标，如能源、处理效率和容错卸载机制，采用蜻蜓软计算算法。与现有工作负载执行相比，WS-RUM通过最小化实时工作负载执行的能量和处理时间来提高资源利用率。

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Dragonfly soft-computing approach for workload scheduling resource utilization maximization using multi-cloud platform

The execution of the real-time workload in the multi-cloud platform with the Service Level Agreement (SLA) requirements is a challenging task. Existing workload scheduling models have addressed issues related to minimizing execution time, cost, and energy with application reliability prerequisite. However, these models are not efficient in maximizing resource utilization under a multi-cloud platform. In addressing resource utilization issues, this paper presents a Workload Scheduling Resource Utilization Maximization (WS-RUM) technique for the multi-cloud platform. The WS-RUM technique leverages a multi-objective such as energy, processing efficiency, and fault-tolerant offloading mechanism employing a dragonfly soft computing algorithm. The WS-RUM improves resource utilization by minimizing both energy and processing time for real-time workload execution in comparison with existing workload execution.

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来源期刊

International Journal on Information Technologies and Security COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

66.70%

发文量