Energy Aware Computing Resource Allocation Using PSO in Cloud

被引:0
作者
Chaudhrani, Vanita [1 ]
Acharya, Pranjalee [1 ]
Chudasama, Vipul [1 ]
机构
[1] Nirma Univ, Inst Technol, Ahmadabad 382481, Gujarat, India
来源
INFORMATION AND COMMUNICATION TECHNOLOGY FOR INTELLIGENT SYSTEMS, ICTIS 2018, VOL 2 | 2019年 / 107卷
关键词
Energy efficiency; PSO; VM allocation; Cloud computing; TAXONOMY; SIMULATION; MANAGEMENT;
D O I
10.1007/978-981-13-1747-7_49
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In cloud computing, a large number of resources are used like data centers, servers, computing resources (VMs), and IoT devices. One of the key challenges in cloud computing is to provide energy-efficient resource management. In this resource management, energy is one of the key parameters which is to be resolved. Resources in the cloud are using a large amount of energy and sometimes energy is wasted, so these resources are needed to make energy efficient. Energy-efficient resource management techniques help in cost reduction and improving the life of data centers. This paper discusses energy management techniques used in cloud and proposes particle swarm optimization (PSO)-based VM allocation model to reduce energy consumption on hosts.
引用
收藏
页码:511 / 519
页数:9
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