September 2-4, 2015
The 8th International Conference on
Internet and Distributed Computing Systems
Cumberland Lodge, The Great Park, Windsor, Berkshire, SL4 2HP, United Kingdom
Keynote Presentation 1:"Coordination Mechanism in Multi-Layer Clouds: Architecture and Applications"
Prof. Omer F. Rana, School of Computer Science and Informatics, Cardiff University, UK
Many applications require data to be captured and processed in real time, as the migration of all the data to a central site prior to analysis can create significant overhead. Examples include the variety of sensor network-based applications where sensors interface with real world artifacts and must respond to physical phenomenon that cannot be predicted apriori. The amount of data likely to be generated by a sensor and processing requirements in such applications can not be pre-determined (as they are often dependent on the rate of change of the physical phenomenon being measured and potential occurrence of “trigger events” which are non-deterministic). We propose the use of a multilayer Cloud infrastructure that distributes processing over both sensing nodes, multiple intermediate/gateways nodes and the more complex centralised data centre. Such layers need to work in coordination to ensure more reliable and efficient use of computing and network resources, preventing the need to move data to a central location when this is not necessary and creating data processing paths from data capture to analysis. We outline the basis for a decision function that evaluates: (i) where processing should be carried out; (ii) what processing should be undertaken centrally vs at an edge node; (iii) how processing can be distributed across multiple data centre locations to achieve QoS and cost targets.
Omer Rana is Professor of Performance Engineering at Cardiff School of Computer Science & Informatics. He was formerly the deputy director of the Welsh eScience Centre at Cardiff University -- where he had an opportunity to collaborate with a number of scientists working in computational science and engineering. He holds a PhD in "Neural Computing and Parallel Architectures" from Imperial College (University of London, UK). His research interests are in the areas of high performance distributed computing, data mining and analysis and multi-agent systems. Prior to joining Cardiff University he worked as a software developer with Marshall BioTechnology Limited in London, working on projects with a number of international biotech companies, such as Merck, Hybaid and Amersham International. He has been involved in the Distributed Programming Abstractions and the 3DPAS themes at the UK National eScience Institute. He is an associate editor of the ACM Transactions on Autonomous and Adaptive Systems, IEEE Transactions on Cloud Computing, series co-editor of the book series on "Autonomic Systems" by Birkhauser publishers, and on the editorial boards of "Concurrency and Computation: Practice and Experience" (John Wiley), the Journal of Computational Science (Elsevier) and the recently launched IEEE Cloud Computing magazine.
Keynote Presentation 2:"Cloud Computing in Healthcare and Biomedicine"
Prof. Mario Cannataro, Bioinformatics Laboratory, Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Italy
High throughput platforms available in clinical settings or in research laboratories, such as magnetic resonance imaging, microarray, mass spectrometry and next-generation sequencing, are producing an increasing volume of clinical and omics data that poses new issues in terms of secure data storage, models for data integration and analysis, and high performance computing. Cloud Computing offers large scalable computing and storage, data sharing, on-demand anytime and anywhere access to resources and applications, and it supports easy but powerful distributed computing models, for facing those issues. In fact, in the recent years it has been adopted for the deployment of several applications in healthcare and bioinformatics both in academia and in the industry. However, cloud computing presents several issues regarding the security and privacy of data, that are particularly important when analyzing patients data, such as in personalized medicine. This presentation reviews main cloud-based healthcare and biomedicine applications; with a special focus on healthcare, biomedicine and bioinformatics solutions and underlines main issues and problems related to the use of such platforms for the storage and analysis of patients clinical and omics data.
Mario Cannataro received the Laurea Degree (cum laude) in computing engineering from the University of Calabria, in 1993. He is an Associate Professor of Computer Engineering at University “Magna Graecia” of Catanzaro, Italy, since 2002. His current research interests include parallel and distributed computing, bioinformatics, and medical informatics. He is a Member of the editorial boards of Briefings in Bioinformatics, Future Generation Computer Systems, Encyclopedia of Systems Biology. He was guest editor of several special issues on bioinformatics and he is serving as a program committee member of several conferences. He published three books and more than 200 papers in international journals and conference proceedings. Prof. Cannataro is a Senior Member of IEEE, ACM and BITS, and a member of IEEE Computer Society and ACM SIGBio.