Title
An Autonomic Performance-Aware Workflow Job Management for Service-Oriented Computing
Abstract
Workflow job is composed of several ordered subtasks which invoke different computing services. These computing services are deployed on geographically distributed servers. Towards Workflow Job Management, how to schedule workflow jobs to achieve high server resource utilization and how to ensure Quality of Service (QoS) pose several challenges. In the paper, an autonomic Performance-Aware Workflow Job Management is proposed. It firstly decomposes workflow jobs into subtasks, and then adopts Virtual Allocation Strategy, which utilizes the concept of virtual queue, to allocate them to the servers. We also apply a Detection Adjustment Approach for Virtual Allocation to dynamically adjust workload of each computing server according to the real-time system workload changes. Additionally, it also utilizes Occupy Allocation to ensure the QoS. These capacities enable our Workflow Job Management adaptable and autonomic. Finally we establish simulations to demonstrate system performance and QoS.
Year
DOI
Venue
2010
10.1109/GCC.2010.61
GCC
Keywords
Field
DocType
towards workflow job management,autonomic,workflow job,occupy allocation,web services,quality of service,autonomic performance-aware workflow job,virtual allocation strategy,service-oriented computing,qos,workflow management software,detection adjustment approach,virtual allocation,different computing service,workflow job management,performance-aware workflow job management,computing server,computing service,resource management,system performance,servers,service oriented computing,resource utilization,throughput,computational modeling,real time systems
Resource management,Workflow technology,Computer science,Server,Quality of service,Real-time computing,Workflow engine,Web service,Workflow,Workflow management system,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-4313-0
2
0.39
References 
Authors
7
7
Name
Order
Citations
PageRank
Chenyang Zhao152.23
Shoubo Li241.86
Yi Yang3143.59
Junling Wang420.39
Zhen Dong5425.25
Li Liu663447.50
Lian Li718940.80