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A Walk in the Clouds: Effective Resource Usage in Business Cloud

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Friday 26 June 2009, 12:00
LT12, Management School

Horacio González-Vélez

The Robert Gordon University

Abstract: Widely considered as the logical successor of the Internet, cloud computing entails the exchange of computer and data resources across global networks. It constitutes a new value-added paradigm for network computing, where higher efficiency, massive scalability, and speed rely on effective software development. Major Internet powerhouses such as Amazon, Google, Microsoft, IBM, and Yahoo have embarked upon substantial business endeavours centred on this new paradigm.

It has become evident that the new business-oriented programming models are needed. Algorithmic skeletons abstract commonly-used patterns of parallel computation, communication, and interaction. By using skeletons, programmers can code programs regardless of how the computation and communications will be executed, leading to significant savings of human and computing effort.

This talk presents a methodology to efficiently program parallel applications for clouds by introducing adaptivity through resource awareness. It incorporates structural information into a parallel application that helps it to adapt to the most suitable cloud computing resources, minimising the associated costs and time.

Short Bio: As lecturer with the School of Computing of the Robert Gordon University, Dr Horacio González-Vélez conducts research in parallel and distributed computing including grid computing, cloud computing, multi-core processors, clusters, and supercomputers. Passionate about technology and its applications, Dr González-Vélez supports joint interdisciplinary research that motivates knowledge transfer, creative thinking, and innovative products.

With a strong background in computational science, nurtured both in the academy and in industry, he seeks to employ generic parallel patterns (algorithmic skeletons) to the solution of domain specific, computationally-demanding problems. Avoiding the ad hoc solutions typically found in high performance computing codes, he hopes to develop a tight integration between specific computational problems and their specific patterns of computation and communication.

He holds a doctoral degree in informatics from the University of Edinburgh. He has been a research fellow with the University of Edinburgh and held different positions in marketing and systems engineering at Sun Microsystems and Silicon Graphics, where he was involved in different innovation-related projects at a number of companies and universities.


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