A service-oriented priority-based resource scheduling scheme for virtualized utility computing

Abstract

In order to provide high resource utilization and QoS assurance in utility computing hosting concurrently various services, this paper proposes a service computing framework-RAINBOW for VM(Virtual Machine)-based utility computing. In RAINBOW, we present a priority-based resource scheduling scheme including resource flowing algorithms (RFaVM) to optimize resource allocations amongst services. The principle of RFaVM is preferentially ensuring performance of some critical services by degrading of others to some extent when resource competition arises. Based on our prototype, we evaluate RAINBOW and RFaVM. The experimental results show that RAINBOW without RFaVM provides 28%~324% improvements in service performance, and 26% higher the average CPU utilization than traditional service computing framework (TSF) in typical enterprise environment. RAINBOW with RFaVM further improves performance by 25%~42% for those critical services while only introducing up to 7% performance degradation to others, with 2%~8% more improvements in resource utilization than RAINBOW without RFaVM. © 2008 Springer Berlin Heidelberg.