Title :
On-Demand Resource Provisioning for BPEL Workflows Using Amazon´s Elastic Compute Cloud
Author :
Dornemann, T. ; Juhnke, Ernst ; Freisleben, Bernd
Author_Institution :
Dept. of Math. & Comput. Sci., Univ. of Marburg, Marburg
Abstract :
BPEL is the de facto standard for business process modeling in today´s enterprises and is a promising candidate for the integration of business and Grid applications. Current BPEL implementations do not provide mechanisms to schedule service calls with respect to the load of the target hosts. In this paper, a solution that automatically schedules workflow steps to underutilized hosts and provides new hosts using Cloud computing infrastructures in peak-load situations is presented. The proposed approach does not require any changes to the BPEL standard. An implementation based on the ActiveBPEL engine and Amazon´s Elastic Compute Cloud is presented.
Keywords :
Web services; business data processing; grid computing; scheduling; workflow management software; Amazon elastic compute cloud; BPEL workflow scheduling; Web service; business process modeling; cloud computing; enterprises business integration; grid application; on-demand resource provisioning; service-oriented architectures; Cloud computing; Computer science; Engines; Grid computing; Mathematics; Paramagnetic resonance; Processor scheduling; Runtime; Service oriented architecture; Web services; BPEL; Cloud Computing; Load Balancing; Provisioning; Reliability; Scheduling; Workflow;
Conference_Titel :
Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3935-5
Electronic_ISBN :
978-0-7695-3622-4
DOI :
10.1109/CCGRID.2009.30