TY  - JOUR
T1  - Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models
JF  - Simulation Modelling Practice and Theory
Y1  - 2011
A1  - David A. Bacigalupo
A1  - van Hemert, Jano I.
A1  - Xiaoyu Chen
A1  - Asif Usmani
A1  - Adam P. Chester
A1  - Ligang He
A1  - Donna N. Dillenberger
A1  - Gary B. Wills
A1  - Lester Gilbert
A1  - Stephen A. Jarvis
KW  - e-Science
AB  - The automatic allocation of enterprise workload to resources can be enhanced by being able to make what–if response time predictions whilst different allocations are being considered. We experimentally investigate an historical and a layered queuing performance model and show how they can provide a good level of support for a dynamic-urgent cloud environment. Using this we define, implement and experimentally investigate the effectiveness of a prediction-based cloud workload and resource management algorithm. Based on these experimental analyses we: (i) comparatively evaluate the layered queuing and historical techniques; (ii) evaluate the effectiveness of the management algorithm in different operating scenarios; and (iii) provide guidance on using prediction-based workload and resource management.
VL  - 19
ER  -