An effective resource management in cloud computing

被引:5
|
作者
Mohamed Shameem P. [1 ]
Johnson N. [1 ]
Shaji R.S. [2 ]
Arun E. [3 ]
机构
[1] Department of Computer Science and Engineering, TKM Institute of Technology, Kerala
[2] Department of Information Technology, Noorul Islam Univeristy, Kumaracoil
[3] Department of Computer Science and Engineering, Marian Engineering College, Trivandrum, Kerala
来源
Mohamed Shameem, P. (pms.tkmit@yahoo.in) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 19期
关键词
Case-based reasoning; Cloud computing; Elasticity; QoS; Quality of service; Resource allocation; Resource management; Rough set theory; Service level agreement; SLA; Virtualisation;
D O I
10.1504/IJCNDS.2017.087388
中图分类号
学科分类号
摘要
Provision of resources must be provided such that all resources are made available to user's request in efficient manner to satisfy their needs. Resource allocation in virtualised environment should provide elasticity. When the workload increases, existing approaches cannot respond to the growing performance in an effective way. This may lead to the violation of service level agreement (SLA) which will decrease the quality of service (QoS). Existing methods cannot take an accurate decision on the allocation of resources in an optimal way and are not predictive in nature. Before any problems occur, they cannot take a precaution on resource management. Therefore, a framework is used to ensure effective resource management. This framework uses rough set algorithm in order to make an accurate decision on the allocation of resources. Variation in workloads is adapted by considering new parameters like type of application, garbage processing policy and internal application resources. © 2017 Inderscience Enterprises Ltd.
引用
收藏
页码:448 / 464
页数:16
相关论文
共 50 条
  • [1] Research on Novel Effective Resource Management in Cloud Computing
    Li, Fufang
    Xie, Dongqing
    Qi, Deyu
    Peng, Lingxi
    Xie, Guowen
    [J]. ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 2077 - +
  • [2] Reinforcement Learning Algorithms for Effective Resource Management in Cloud Computing
    Lahande, Prathamesh Vijay
    Kaveri, Parag Ravikant
    [J]. SOFT COMPUTING AND ITS ENGINEERING APPLICATIONS, ICSOFTCOMP 2022, 2023, 1788 : 369 - 381
  • [3] An Effective Grid Resource Management Model Based on Cloud Computing Platform
    Zhang, Yue
    Pei, Yunxia
    [J]. INTELLIGENT STRUCTURE AND VIBRATION CONTROL, PTS 1 AND 2, 2011, 50-51 : 358 - +
  • [4] A Management of Resource Ontology for Cloud Computing
    Jeong, Hwa-Young
    Hong, Bong-Hwa
    [J]. COMMUNICATION AND NETWORKING, PT II, 2011, 266 : 65 - +
  • [5] Resource Allocation and Management in Cloud Computing
    Nahir, Amir
    Orda, Ariel
    Raz, Danny
    [J]. PROCEEDINGS OF THE 2015 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM), 2015, : 1078 - 1084
  • [6] A Cost Effective approach for Resource Scheduling in Cloud Computing
    Kapur, Ritu
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONTROL (IC4), 2015,
  • [7] Cloud Computing: Resource Management and Service Allocation
    Oppong, Eric
    Khaddaj, Souheil
    Elariss, Haifa Elsidani
    [J]. 2013 12TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING & SCIENCE (DCABES), 2013, : 142 - 145
  • [8] Intelligent resource management in cloud computing and networking
    Xu, Changqiao
    [J]. TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2022, 33 (08)
  • [9] An adaptive resource management scheme in cloud computing
    Huang, Chenn-Jung
    Guan, Chih-Tai
    Chen, Heng-Ming
    Wang, Yu-Wu
    Chang, Shun-Chih
    Li, Ching-Yu
    Weng, Chuan-Hsiang
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (01) : 382 - 389
  • [10] Turning Video Resource Management into Cloud Computing
    Kou, Weili
    Li, Hui
    Zhou, Kailai
    [J]. FUTURE INTERNET, 2016, 8 (03)