A Converged Service Plane for Virtual Infrastructure Containers
The Infrastructure deployed in data centres to create cloud services can be extremely large. As such, the magnitude of these resources and the technologies required to enable the cloud services raises various challenges. Composing cloud services from a subset of the data centre as a virtual infrastructure container is a viable option to meet these challenges. We present an efficient automation layer for virtual infrastructure container. Biologically inspired models and algorithms for virtual resource provisioning, service isolation, and task allocation are presented and tested experimentally. We formulate relational model for components interaction in a virtual container. Large biological datasets are used to generate initial inputs to our model. We then implement the model in a simulation experiment to investigate the accuracy of our model and measure the improvement on performance of cloud services creation and delivery. The results from the experiments show significant reduction in provisioning time and more effective resource utilization over similar approaches.
Keywords: Virtual Infrastructure container, Datacenter, Cloud Computing, virtualization, IAAS
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ABOUT THE AUTHORS
Ibrahim Kabiru Musa
Received his B.Sc. (Hons.) degree in computer science and masters from Federal University of Technology Nigeria in 2006 and 2009 respectively. He was employed as lecturer in the Federal University of Technology Nigeria in 2008 and worked as a Cisco and Microsoft instructor in 2007-2009. In 2010 he started his Ph.D. in Computer Science and Electronic Engineering department of University of Essex, United Kingdom. His current research interest is resource virtualization in cloud Computing
Stuart D. Walker
received the B.Sc. (Hons.) degree in physics from Manchester University, Manchester, U.K., in 1973 and the M.Sc. and Ph.D. degrees in electronic systems engineering from the University of Essex, Essex, U.K., in 1975 and 1981, respectively. After completing a period of contractual work for British Telecom Laboratories between 1979 and 1982, he joined the company as a Staff Member in 1982. He worked on various aspects of optical system design and was promoted to Head of the Regenerator Design Group in 1987. In 1988, he became Senior Lecturer and then Reader in Optical Communication at the University of Essex. He has led eight patents and authored over 140 publications. In 2004, he was promoted to a Professorship and is currently Head of the Optical Systems Laboratory at the university. His current interests focus on modeling and analysis of advanced optical network components and systems.
Ibrahim Kabiru Musa
Received his B.Sc. (Hons.) degree in computer science and masters from Federal University of Technology Nigeria in 2006 and 2009 respectively. He was employed as lecturer in the Federal University of Technology Nigeria in 2008 and worked as a Cisco and Microsoft instructor in 2007-2009. In 2010 he started his Ph.D. in Computer Science and Electronic Engineering department of University of Essex, United Kingdom. His current research interest is resource virtualization in cloud Computing
Stuart D. Walker
received the B.Sc. (Hons.) degree in physics from Manchester University, Manchester, U.K., in 1973 and the M.Sc. and Ph.D. degrees in electronic systems engineering from the University of Essex, Essex, U.K., in 1975 and 1981, respectively. After completing a period of contractual work for British Telecom Laboratories between 1979 and 1982, he joined the company as a Staff Member in 1982. He worked on various aspects of optical system design and was promoted to Head of the Regenerator Design Group in 1987. In 1988, he became Senior Lecturer and then Reader in Optical Communication at the University of Essex. He has led eight patents and authored over 140 publications. In 2004, he was promoted to a Professorship and is currently Head of the Optical Systems Laboratory at the university. His current interests focus on modeling and analysis of advanced optical network components and systems.
