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 - 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 - An Architecture for an Integrated Fire Emergency Response System for the Built Environment T2 - 9th Symposium of the International Association for Fire Safety Science (IAFSS) Y1 - 2008 A1 - Rochan Upadhyay A1 - Galvin Pringle A1 - George Beckett A1 - Stephen Potter A1 - Liangxiu Han A1 - Stephen Welch A1 - Asif Usmani A1 - Jose Torero KW - emergency response system KW - FireGrid KW - system architecture KW - technology integration AB - FireGrid is a modern concept that aims to leverage a number of modern technologies to aid fire emergency response. In this paper we provide a brief introduction to the FireGrid project. A number of different technologies such as wireless sensor networks, grid-enabled High Performance Computing (HPC) implementation of fire models, and artificial intelligence tools need to be integrated to build up a modern fire emergency response system. We propose a system architecture that provides the framework for integration of the various technologies. We describe the components of the generic FireGrid system architecture in detail. Finally we present a small-scale demonstration experiment which has been completed to highlight the concept and application of the FireGrid system to an actual fire. Although our proposed system architecture provides a versatile framework for integration, a number of new and interesting research problems need to be solved before actual deployment of the system. We outline some of the challenges involved which require significant interdisciplinary collaborations. JF - 9th Symposium of the International Association for Fire Safety Science (IAFSS) PB - IAFSS CY - Karlsruhe, GERMANY ER - TY - CONF T1 - Data Integration in eHealth: A Domain/Disease Specific Roadmap T2 - Studies in Health Technology and Informatics Y1 - 2007 A1 - Ure, J. A1 - Proctor, R. A1 - Martone, M. A1 - Porteous, D. A1 - Lloyd, S. A1 - Lawrie, S. A1 - Job, D. A1 - Baldock, R. A1 - Philp, A. A1 - Liewald, D. A1 - Rakebrand, F. A1 - Blaikie, A. A1 - McKay, C. A1 - Anderson, S. A1 - Ainsworth, J. A1 - van Hemert, J. A1 - Blanquer, I. A1 - Sinno ED - N. Jacq ED - Y. Legr{\'e} ED - H. Muller ED - I. Blanquer ED - V. Breton ED - D. Hausser ED - V. Hern{\'a}ndez ED - T. Solomonides ED - M. Hofman-Apitius KW - e-Science AB - The paper documents a series of data integration workshops held in 2006 at the UK National e-Science Centre, summarizing a range of the problem/solution scenarios in multi-site and multi-scale data integration with six HealthGrid projects using schizophrenia as a domain-specific test case. It outlines emerging strategies, recommendations and objectives for collaboration on shared ontology-building and harmonization of data for multi-site trials in this domain. JF - Studies in Health Technology and Informatics PB - IOPress VL - 126 SN - 978-1-58603-738-3 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 - TY - CONF T1 - Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation T2 - LNCS Y1 - 2004 A1 - van Hemert, J. I. A1 - Urquhart, N. B. ED - Xin Yao ED - Edmund Burke ED - Jose A. Lozano ED - Jim Smith ED - Juan J. Merelo-Guerv\'os ED - John A. Bullinaria ED - Jonathan Rowe ED - Peter Ti\v{n}o Ata Kab\'an ED - Hans-Paul Schwefel KW - evolutionary computation KW - problem evolving KW - travelling salesman AB - This paper introduces a generator that creates problem instances for the Euclidean symmetric travelling salesman problem. To fit real world problems, we look at maps consisting of clustered nodes. Uniform random sampling methods do not result in maps where the nodes are spread out to form identifiable clusters. To improve upon this, we propose an evolutionary algorithm that uses the layout of nodes on a map as its genotype. By optimising the spread until a set of constraints is satisfied, we are able to produce better clustered maps, in a more robust way. When varying the number of clusters in these maps and, when solving the Euclidean symmetric travelling salesman person using Chained Lin-Kernighan, we observe a phase transition in the form of an easy-hard-easy pattern. JF - LNCS PB - Springer-Verlag CY - Birmingham, UK VL - 3242 SN - 3-540-23092-0 UR - http://www.vanhemert.co.uk/files/clustered-phase-transition-tsp.tar.gz ER -