Title :
A Model of Scheduling Optimizing for Cloud Computing Resource Sevices Based on Buffer-pool Agent
Author :
Chen Ming ; Li Mengkun ; Cai Fuqin
Author_Institution :
Dept. of Comput. Sci. & Technol., China Univ. of Pet. (Beijing), Beijing, China
Abstract :
SaaS resource service scheduling is one of the key issues. In this paper, the scheduling model of resource service based on Buffer-Pool Agent is proposed to be used in the failure management caused by the concurrency resource service. This model aims to build the Buffer-pool of resource services by the resource service agent and design the optimized system structure to supporting this model. This paper introduces the algorithm of the scheduling process in optimizing resource service by discussing the management of concurrency resource service. Preliminary experiments reveal that the model optimizes the management of resource service and improves the scheduling efficiency.
Keywords :
Internet; concurrency control; failure analysis; scheduling; software agents; SaaS resource service scheduling; buffer-pool agent; cloud computing resource sevices; concurrency resource service; failure management; optimized system structure; resource service agent; scheduling efficiency; scheduling model; scheduling process; Cloud computing; Clouds; Computational modeling; Data models; Processor scheduling; Silicon; Buffer-pool; optimizing algorithm; resourece service scheduling;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.180