Maximum elastic scheduling of virtual machines in general graph cloud data center networks

被引：0
|
作者：
Qwareeq Y. [1 ]
Sawwan A. [1 ]
Wu J. [1 ]
机构：
[1] Center for Networked Computing, Science Education and Research Center (SERC), Temple University, Philadelphia, PA
来源：
Cyber-Physical Systems | 2024年 / 10卷 / 03期
关键词：
Cloud; data centre networks (DCNs); elasticity; maximum flow; optimisation;
D O I：
10.1080/23335777.2023.2301106
中图分类号：
学科分类号：
摘要：
In this research, we pioneer a novel method to evaluate the maximum admissible load (MAL) for virtual machines (VMs) in physical machines (PMs) in data centre networks (DCNs), without restricting DCN topologies. This unique approach simplifies the issue into a single-source, multiple-sink maximum flow problem. It also resolves the maximum elastic scheduling problem by determining the optimal load for consistent growth without reassigning tasks. An effective strategy for these challenges is introduced and validated through extensive simulations. © 2024 Informa UK Limited, trading as Taylor & Francis Group.
引用
收藏
页码：283 / 301
页数：18
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