Dynamic VM allocation and traffic control to manage QoS and energy consumption in cloud computing environment

被引:22
|
作者
Hanini, Mohamed [1 ]
El Kafhali, Said [1 ]
Salah, Khaled [2 ]
机构
[1] Hassan 1st Univ, Fac Sci & Technol, Comp Networks Mobil & Modelling Lab, Settat, Morocco
[2] Khalifa Univ Sci & Technol, Elect & Comp Engn Dept, Abu Dhabi, U Arab Emirates
关键词
queueing theory; cloud data centre; virtual machines; performance analysis; quality of service; energy consumption; SERVICE; PERFORMANCE; CHALLENGES; QUALITY; MODEL; SAAS;
D O I
10.1504/IJCAT.2019.101168
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the last few years, cloud computing technology has revolutionised the IT industry. However, the guarantee of the desired Quality of Service (QoS) and the power consumption control are two of the major challenges that this paradigm poses. In this paper, we propose a mechanism combining a scheme for virtual machine utilisation with a mechanism to control the access for incoming requests to the virtual machine monitor. The number of activated virtual machines is defined according to the workload, and the control access is based on the number of requests. The studied mechanism and its performance parameters are described by a mathematical model, and a power consumption model is built and evaluated. Numerical examples evaluating QoS parameters are given. Moreover, the impact of the proposed mechanism on the behaviour of energy consumption is evaluated. Analysis of the obtained results shows the positive impact of the proposed mechanism.
引用
收藏
页码:307 / 316
页数:10
相关论文
共 50 条
  • [1] A dynamic VM consolidation technique for QoS and energy consumption in cloud environment
    Seyed Yahya Zahedi Fard
    Mohamad Reza Ahmadi
    Sahar Adabi
    [J]. The Journal of Supercomputing, 2017, 73 : 4347 - 4368
  • [2] Energy Conserving Secure VM Allocation in Untrusted Cloud Computing Environment
    Sharma, Swati
    Kaushal, Rishabh
    [J]. COMPUTE'17: PROCEEDINGS OF THE 10TH ANNUAL ACM INDIA COMPUTE CONFERENCE, 2017, : 73 - 81
  • [3] Distance aware vm allocation process to minimize energy consumption in cloud computing
    Singh, Gurpreet
    Mahajan, Manish
    Mohana, Rajni
    [J]. Recent Advances in Computer Science and Communications, 2021, 14 (05) : 1641 - 1649
  • [4] A dynamic VM consolidation technique for QoS and energy consumption in cloud environment (vol 73, pg 4347, 2017)
    Fard, Seyed Yahya Zahedi
    Ahmadi, Mohamad Reza
    Adabi, Sahar
    [J]. JOURNAL OF SUPERCOMPUTING, 2017, 73 (10): : 4369 - 4372
  • [5] QoS and Performance Optimization with VM Provisioning Approach in Cloud Computing Environment
    Bheda, Hitesh A.
    Lakhani, Jignesh
    [J]. 3RD NIRMA UNIVERSITY INTERNATIONAL CONFERENCE ON ENGINEERING (NUICONE 2012), 2012,
  • [6] An Efficient Dynamic Resource Allocation Strategy for VM Environment in Cloud
    Nagpure, Mahesh B.
    Dahiwale, Prashant
    Marbate, Punam
    [J]. 2015 INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING (ICPC), 2015,
  • [7] Performance Evaluation of Clustering Algorithms for Dynamic VM Allocation in Cloud Computing
    Aluvalu, Rajanikanth
    Jabbar, M. A.
    Kantaria, Jalpa
    [J]. PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES FOR SMART NATION (SMARTTECHCON), 2017, : 1560 - 1563
  • [8] Energy Efficient Strategy for Task Allocation and VM Placement in Cloud Environment
    Bharathi, Divya P.
    Prakash, P.
    Kiran, Vamsee Krishna M.
    [J]. 2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2017,
  • [9] Performance Based Energy Efficient Techniques For VM Allocation In Cloud Environment
    Shrimali, Bela
    Patel, Hiren
    [J]. PROCEEDING OF THE THIRD INTERNATIONAL SYMPOSIUM ON WOMEN IN COMPUTING AND INFORMATICS (WCI-2015), 2015, : 477 - 486
  • [10] Intelligent SLA-Aware VM Allocation and Energy Minimization Approach with EPO Algorithm for Cloud Computing Environment
    Samriya, Jitendra Kumar
    Chandra Patel, Subhash
    Khurana, Manju
    Tiwari, Pradeep Kumar
    Cheikhrouhou, Omar
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021