Energy aware resource allocation of cloud data center: review and open issues

被引:41
作者
Akhter, Nasrin [1 ]
Othman, Mohamed [1 ]
机构
[1] Univ Putra Malaysia, Dept Commun Technol & Network, Upm Serdang 43400, Selangor De, Malaysia
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2016年 / 19卷 / 03期
关键词
Virtualization; Allocation of virtual machine; Energy efficiency; Power consumption; Cloud computing; EFFICIENT DYNAMIC CONSOLIDATION; GREEN DATA CENTERS; PERFORMANCE MANAGEMENT; POWER-CONSUMPTION; RENEWABLE ENERGY; VIRTUAL MACHINES; SIMULATION; FRAMEWORK; NETWORK; SAVINGS;
D O I
10.1007/s10586-016-0579-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The demand for cloud computing is increasing dramatically due to the high computational requirements of business, social, web and scientific applications. Nowadays, applications and services are hosted on the cloud in order to reduce the costs of hardware, software and maintenance. To satisfy this high demand, the number of large-scale data centers has increased, which consumes a high volume of electrical power, has a negative impact on the environment, and comes with high operational costs. In this paper, we discuss many ongoing or implemented energy aware resource allocation techniques for cloud environments. We also present a comprehensive review on the different energy aware resource allocation and selection algorithms for virtual machines in the cloud. Finally, we come up with further research issues and challenges for future cloud environments.
引用
收藏
页码:1163 / 1182
页数:20
相关论文
共 50 条
  • [41] An energy-aware resource provisioning scheme for real-time applications in a cloud data center
    Faragardi, Hamid Reza
    Dehnavi, Saeid
    Nolte, Thomas
    Kargahi, Mehdi
    Fahringer, Thomas
    SOFTWARE-PRACTICE & EXPERIENCE, 2018, 48 (10) : 1734 - 1757
  • [42] MuMs: Energy-Aware VM Selection Scheme for Cloud Data Center
    Yadav, Rahul
    Zhang, Weizhe
    Chen, Huang
    Guo, Tao
    2017 28TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS (DEXA), 2017, : 132 - 136
  • [43] Energy-efficient and QoS-aware model based resource consolidation in cloud data centers
    Li, Hongjian
    Zhu, Guofeng
    Zhao, Yuyan
    Dai, Yu
    Tian, Wenhong
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2017, 20 (03): : 2793 - 2803
  • [44] Energy-aware Virtual Resource Mapping Algorithm in Wireless Data Center
    Luo, Juan
    Fu, Shan
    Wu, Di
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2014, 8 (03): : 819 - 837
  • [45] More than Meets One Core: An Energy-Aware Cost Optimization in Dynamic Multi-Core Processor Server Consolidation for Cloud Data Center
    Li, Huixi
    Wen, Langyi
    Liu, Yinghui
    Shen, Yongluo
    ELECTRONICS, 2022, 11 (20)
  • [46] Resource Allocation Issues and Challenges in Cloud Computing
    Selvi, S. Thamarai
    Valliyammai, C.
    Dhatchayani, V. Neelaya
    2014 INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION TECHNOLOGY (ICRTIT), 2014,
  • [47] Power Consumption-Aware Virtual Machine Allocation in Cloud Data Center
    Portaluri, Giuseppe
    Adami, Davide
    Gabbrielli, Andrea
    Giordano, Stefano
    Pagano, Michele
    2016 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2016,
  • [48] Energy Aware Resource Optimization using Unified Metaheuristic Optimization Algorithm Allocation for Cloud Computing Environment
    Al-Wesabi, Fahd N.
    Obayya, Marwa
    Hamza, Manar Ahmed
    Alzahrani, Jaber S.
    Gupta, Deepak
    Kumar, Sachin
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 35
  • [49] A Review on Trust-Based Resource Allocation in Cloud Environment: Issues Toward Collaborative Cloud
    Pol, Pooja Shashank
    Pachghare, Vinod K.
    INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING, 2023, 17 (01) : 59 - 91
  • [50] An Optimized Framework for Energy-Resource Allocation in a Cloud Environment based on the Whale Optimization Algorithm
    Goyal, Shanky
    Bhushan, Shashi
    Kumar, Yogesh
    Rana, Abu ul Hassan S.
    Bhutta, Muhammad Raheel
    Ijaz, Muhammad Fazal
    Son, Youngdoo
    SENSORS, 2021, 21 (05) : 1 - 24