Nature-inspired cost optimisation for enterprise cloud systems using joint allocation of resources

被引：18
|
作者：
Mishra, Suchintan [1 ]
Sahoo, Manmath Narayan [1 ]
Sangaiah, Arun Kumar [2 ]
Bakshi, Sambit [1 ]
机构：
[1] Natl Inst Technol, Dept Comp Sci & Technol, Rourkela 769008, Odisha, India
[2] Vellore Inst Technol, Sch Comp Sci & Engn, Vellore, Tamil Nadu, India
来源：
ENTERPRISE INFORMATION SYSTEMS | 2021年 / 15卷 / 02期
关键词：
VM placement; cloud computing; joint allocation; multiobjective optimisation; ACO; resource allocation; fuzzy AHP; VIRTUAL MACHINE PLACEMENT; ALGORITHM;
D O I：
10.1080/17517575.2019.1605001
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Resource allocation in cloud being NP-complete lacks a generalised optimal solution. In this work, we propose a nature-inspired ACO-Fuzzy framework based joint resource allocation algorithm for cloud datacenters. The algorithm assigns compute and network resources efficiently to minimize end-user cost. An ACO-based local search heuristic is used to discover the current status of resources and then a Fuzzy-based decision maker finds the most optimal set of compute and network resources minimising the end-user cost. Analytical and experimental evaluations validate the efficiency of joint allocation.
引用
收藏
页码：174 / 196
页数：23
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