Queries Based Workload Management System for the Cloud Environment

被引:0
|
作者
Maghawry, Eman A. [1 ]
Ismail, Rasha M. [1 ]
Badr, Nagwa L. [1 ]
Tolba, Mohamed Fahmy [1 ]
机构
[1] Ain Shams Univ, Fac Comp & Informat Sci, Cairo, Egypt
关键词
Cloud Computing; Query workload; Query execution; SUB-QUERY;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Workload management for concurrent queries is one of the challenging aspects of executing queries over the cloud computing environment. The core problem is to manage any unpredictable load imbalance with respect to varying resource capabilities and performances. Key challenges raised by this problem are how to increase control over the running resources to improve the overall performance and response time of the query execution. This paper proposes an efficient workload management system for controlling the queries execution over cloud environment. The paper presents an architecture to improve the query response time by detecting any load imbalance over the resources. Also, responding to the queries dynamically by rebalancing the query executions across the resources. The results show that applying this Workload Management System improves the query response time by 68%.
引用
收藏
页码:77 / 86
页数:10
相关论文
共 50 条
  • [1] The Design and Implementation of the Workload Management System Based on Cloud Platforms
    Tian, Chongrui
    Tien, David
    Wang, Guanran
    [J]. 2018 26TH INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING (ICSENG 2018), 2018,
  • [2] Efficient Virtual Machine Management Based on Dynamic Workload in Cloud Computing Environment
    Vahora, Seema
    Patel, Ritesh
    Patel, Hetal
    Patel, Sandipkumar
    [J]. 2015 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2015, : 603 - 608
  • [3] FUZZY BASED TRUST MANAGEMENT SYSTEM FOR CLOUD ENVIRONMENT
    Kumar, Sunil
    Mittal, Sumit
    Singh, Manpreet
    [J]. ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL, 2016, 10 (30): : 32 - 37
  • [4] QoS Aware Group-Based Workload Scheduling in Cloud Environment
    Mohanty, Suneeta
    Moharana, Suresh Chandra
    Das, Himansu
    Satpathy, Suresh Chandra
    [J]. DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT-2K19, 2020, 1079 : 953 - 960
  • [5] Workload forecasting based elastic resource management in edge cloud
    Liu, Boyun
    Guo, Jingjing
    Li, Chunlin
    Luo, Youlong
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 139
  • [6] Workload balancing and adaptive resource management for the swift storage system on cloud
    Wang, Zhenhua
    Chen, Haopeng
    Fu, Ying
    Liu, Delin
    Ban, Yunmeng
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2015, 51 : 120 - 131
  • [7] Secure Workload Management For Cloud Server
    Andola, Nitish
    Chandankhede, Himanshu
    Prakash, Sourabh
    Venkatesan, S.
    Verma, Shekhar
    [J]. 2017 CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (CICT), 2017,
  • [8] Research on Service Driven Based Management Information System Reengineering in Cloud Environment
    Xiang, Yang
    Jia, Shengbin
    Zhang, Bo
    Lv, Dongdong
    Wang, Dong
    Yang, Li
    [J]. PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY, 2016, 60 : 1795 - 1799
  • [9] Cloud computing-based jam management for a manufacturing system in a Green IT environment
    Jong Hyuk Park
    Hwa Young Jeong
    [J]. The Journal of Supercomputing, 2014, 69 : 1054 - 1067
  • [10] Cloud computing-based jam management for a manufacturing system in a Green IT environment
    Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea, Republic of
    不详
    130-701, Korea, Republic of
    [J]. J Supercomput, 3 (1054-1067):