TY  - CONF
T1  - Resource management of enterprise cloud systems using layered queuing and historical performance models
T2  - IEEE International Symposium on Parallel Distributed Processing
Y1  - 2010
A1  - Bacigalupo, D. A.
A1  - van Hemert, J.
A1  - Usmani, A.
A1  - Dillenberger, D. N.
A1  - Wills, G. B.
A1  - Jarvis, S. A.
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. It is important to quantitatively compare the effectiveness of different prediction techniques for use in cloud infrastructures. To help make the comparison of relevance to a wide range of possible cloud environments it is useful to consider the following. 1.) urgent cloud customers such as the emergency services that can demand cloud resources at short notice (e.g. for our FireGrid emergency response software). 2.) dynamic enterprise systems, that must rapidly adapt to frequent changes in workload, system configuration and/or available cloud servers. 3.) The use of the predictions in a coordinated manner by both the cloud infrastructure and cloud customer management systems. 4.) A broad range of criteria for evaluating each technique. However, there have been no previous comparisons meeting these requirements. This paper, meeting the above requirements, quantitatively compares the layered queuing and (\^A¿HYDRA\^A¿) historical techniques - including our initial thoughts on how they could be combined. Supporting results and experiments include the following: i.) defining, investigating and hence providing guidelines on the use of a historical and layered queuing model; ii.) using these guidelines showing that both techniques can make low overhead and typically over 70% accurate predictions, for new server architectures for which only a small number of benchmarks have been run; and iii.) defining and investigating tuning a prediction-based cloud workload and resource management algorithm.
JF  - IEEE International Symposium on Parallel Distributed Processing
ER  - 

TY  - CONF
T1  - FireGrid: Integrated emergency response and fire safety engineering for the future built environment
T2  - All Hands Meeting 2005
Y1  - 2006
A1  - D. Berry
A1  - Usmani, A.
A1  - Torero, J.
A1  - Tate, A.
A1  - McLaughlin, S.
A1  - Potter, S.
A1  - Trew, A.
A1  - Baxter, R.
A1  - Bull, M.
A1  - Atkinson, M.
AB  - Analyses of disasters such as the Piper Alpha explosion (Sylvester-Evans and Drysdale, 1998), the World Trade Centre collapse (Torero et al, 2002, Usmani et al, 2003) and the fires at Kings Cross (Drysdale et al, 1992) and the Mont Blanc tunnel (Rapport Commun, 1999) have revealed many mistaken decisions, such as that which sent 300 fire-fighters to their deaths in the World Trade Centre. Many of these mistakes have been attributed to a lack of information about the conditions within the fire and the imminent consequences of the event.    E-Science offers an opportunity to significantly improve the intervention in fire emergencies. The FireGrid Consortium is working on a mixture of research projects to make this vision a reality. This paper describes the research challenges and our plans for solving them.
JF  - All Hands Meeting 2005
CY  - Nottingham, UK
ER  -