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
Link To Document :
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