• DocumentCode
    2546938
  • Title

    A novel SLA-driven verification and planning framework for QoS

  • Author

    Tian, Hongbo ; Dong, Xiaoshe ; Zhao, Xiaoyi ; Zeng, Lingping ; Zhang, Xingjun

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    159
  • Lastpage
    164
  • Abstract
    QoS (Quality of Service) guarantee has emerged as one of the most important technologies for the grid computing. Because the existing QoS control systems focus on designing independent executive management system, some problems still remain to be addressed, including low efficiency, bad scalability, and inadequate QoS automatic control. To address the above problems, this paper presents a novel SLA-driven system framework with verification and planning for QoS. The framework integrates functions of executive management with system services, achieves the optimization of system monitoring & management and automatic QoS control through a novel automatic combination of services, and scales well. The system framework with verification and planning for QoS is applied to heuristic scheduling to improve the Min-Min algorithm. An illustrative example and experimental results show that the system framework with verification and planning for QoS can effectively improve the efficiency of monitoring and management for QoS and facilitate automatic QoS control.
  • Keywords
    grid computing; quality of service; scheduling; system monitoring; QoS automatic control; QoS control systems; SLA-driven system framework; SLA-driven verification; grid computing; heuristic scheduling; independent executive management system; min-min algorithm; planning framework; quality of service guarantee; system monitoring; Automatic control; Computerized monitoring; Control systems; Environmental management; Grid computing; Quality of service; Research and development management; Resource management; Scalability; Web services; QoS Automatic Control; Service Composition; Verification and Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477759
  • Filename
    5477759