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 - JOUR T1 - Performance database: capturing data for optimizing distributed streaming workflows JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Y1 - 2011 A1 - Chee Sun Liew A1 - Atkinson, Malcolm P. A1 - Radoslaw Ostrowski A1 - Murray Cole A1 - van Hemert, Jano I. A1 - Liangxiu Han KW - measurement framework KW - performance data KW - streaming workflows AB - The performance database (PDB) stores performance-related data gathered during workflow enactment. We argue that by carefully understanding and manipulating this data, we can improve efficiency when enacting workflows. This paper describes the rationale behind the PDB, and proposes a systematic way to implement it. The prototype is built as part of the Advanced Data Mining and Integration Research for Europe project. We use workflows from real-world experiments to demonstrate the usage of PDB. VL - 369 IS - 1949 ER - TY - JOUR T1 - An open source toolkit for medical imaging de-identification JF - European Radiology Y1 - 2010 A1 - Rodríguez, David A1 - Carpenter, Trevor K. A1 - van Hemert, Jano I. A1 - Wardlaw, Joanna M. KW - Anonymisation KW - Data Protection Act (DPA) KW - De-identification KW - Digital Imaging and Communications in Medicine (DICOM) KW - Privacy policies KW - Pseudonymisation KW - Toolkit AB - Objective Medical imaging acquired for clinical purposes can have several legitimate secondary uses in research projects and teaching libraries. No commonly accepted solution for anonymising these images exists because the amount of personal data that should be preserved varies case by case. Our objective is to provide a flexible mechanism for anonymising Digital Imaging and Communications in Medicine (DICOM) data that meets the requirements for deployment in multicentre trials. Methods We reviewed our current de-identification practices and defined the relevant use cases to extract the requirements for the de-identification process. We then used these requirements in the design and implementation of the toolkit. Finally, we tested the toolkit taking as a reference those requirements, including a multicentre deployment. Results The toolkit successfully anonymised DICOM data from various sources. Furthermore, it was shown that it could forward anonymous data to remote destinations, remove burned-in annotations, and add tracking information to the header. The toolkit also implements the DICOM standard confidentiality mechanism. Conclusion A DICOM de-identification toolkit that facilitates the enforcement of privacy policies was developed. It is highly extensible, provides the necessary flexibility to account for different de-identification requirements and has a low adoption barrier for new users. VL - 20 UR - http://www.springerlink.com/content/j20844338623m167/ IS - 8 ER - TY - RPRT T1 - An e-Infrastructure for Collaborative Research in Human Embryo Development Y1 - 2009 A1 - Barker, Adam A1 - van Hemert, Jano I. A1 - Baldock, Richard A. A1 - Atkinson, Malcolm P. AB - Within the context of the EU Design Study Developmental Gene Expression Map, we identify a set of challenges when facilitating collaborative research on early human embryo development. These challenges bring forth requirements, for which we have identified solutions and technology. We summarise our solutions and demonstrate how they integrate to form an e-infrastructure to support collaborative research in this area of developmental biology. UR - http://arxiv.org/pdf/0901.2310v1 ER - TY - CONF T1 - An E-infrastructure to Support Collaborative Embryo Research T2 - Cluster Computing and the Grid Y1 - 2009 A1 - Barker, Adam A1 - van Hemert, Jano I. A1 - Baldock, Richard A. A1 - Atkinson, Malcolm P. JF - Cluster Computing and the Grid PB - IEEE Computer Society SN - 978-0-7695-3622-4 ER - TY - Generic T1 - Proceedings of the 1st International Workshop on Portals for Life Sciences T2 - IWPLS09 International Workshop on Portals for Life Sciences Y1 - 2009 A1 - Gesing, Sandra A1 - van Hemert, Jano I. JF - IWPLS09 International Workshop on Portals for Life Sciences T3 - CEUR Workshop Proceedings CY - e-Science Institute, Edinburgh, UK UR - http://ceur-ws.org/Vol-513 ER -