Comprehensive survey on energy-aware server consolidation techniques in cloud computing

被引:0
|
作者
Nisha Chaurasia
Mohit Kumar
Rashmi Chaudhry
Om Prakash Verma
机构
[1] Dr B R Ambedkar NIT Jalandhar,
[2] IIIT Naya Raipur,undefined
来源
关键词
Server consolidation; Virtual machine; VM migration; Scheduling algorithm;
D O I
暂无
中图分类号
学科分类号
摘要
The objective of cloud computing is to provide seamless services using virtualization technology over the Internet to serve the Quality of Service (QoS)-driven end users requirements. In order to provide various services like Software as a Service, Platform as a Service, Infrastructure as a Service, the cloud server’s datacenters are kept active, which have large electrical consumption. Due to improper utilization of resources, optimizing the servers energy consumption becomes a significant challenge for service vendors from environmental and economic perspectives as well. The challenge to provide services with a low energy consumption profile opens up a new dimension of optimized server use for intelligent management of resources (such as CPU/disk/memory), with reduced power consumption through server consolidation. This enables fewer active physical servers to provide the required services without compromising the QoS. This article presents a narrative recent advancement comprehensive as well as systematic survey of existing energy-efficient techniques along with their limitations and the challenges associated in implementing them.
引用
收藏
页码:11682 / 11737
页数:55
相关论文
共 50 条
  • [1] Comprehensive survey on energy-aware server consolidation techniques in cloud computing
    Chaurasia, Nisha
    Kumar, Mohit
    Chaudhry, Rashmi
    Verma, Om Prakash
    JOURNAL OF SUPERCOMPUTING, 2021, 77 (10): : 11682 - 11737
  • [2] Temperature and energy-aware consolidation algorithms in cloud computing
    Yavari, Maede
    Rahbar, Akbar Ghaffarpour
    Fathi, Mohammad Hadi
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2019, 8 (01):
  • [3] Temperature and energy-aware consolidation algorithms in cloud computing
    Maede Yavari
    Akbar Ghaffarpour Rahbar
    Mohammad Hadi Fathi
    Journal of Cloud Computing, 8
  • [4] Energy-aware framework for virtual machine consolidation in Cloud computing
    Cao, Zhibo
    Dong, Shoubin
    2013 IEEE 15TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2013 IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (HPCC_EUC), 2013, : 1890 - 1895
  • [5] An accomplished energy-aware approach for server load balancing in cloud computing
    Orugonda A.
    Kiran Kumar V.
    Recent Advances in Computer Science and Communications, 2020, 13 (06): : 1083 - 1088
  • [6] An energy-aware heuristic framework for virtual machine consolidation in Cloud computing
    Zhibo Cao
    Shoubin Dong
    The Journal of Supercomputing, 2014, 69 : 429 - 451
  • [7] An energy-aware heuristic framework for virtual machine consolidation in Cloud computing
    Cao, Zhibo
    Dong, Shoubin
    JOURNAL OF SUPERCOMPUTING, 2014, 69 (01): : 429 - 451
  • [8] Alternatives to VM consolidation techniques for energy aware cloud computing
    Kaur, Arvinder
    Diwakar, Anirudra
    Vashisht, Rohit
    2017 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2017, : 2005 - 2009
  • [9] An energy-aware virtual machines consolidation method for cloud computing: Simulation and verification
    Zolfaghari, Rahmat
    Sahafi, Amir
    Rahmani, Amir Masoud
    Rezaei, Reza
    SOFTWARE-PRACTICE & EXPERIENCE, 2022, 52 (01): : 194 - 235
  • [10] A Predictive Control Approach for Energy-Aware Consolidation of Virtual Machines in Cloud Computing
    Gaggero, Mauro
    Caviglione, Luca
    2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 5308 - 5313