Subject: Cafe DSL/Centre for Oncology Informatics Seminar: 13-05-16 : Rahul Ghosh on "Scalable Stochastic Models for Cloud Services"
Prof. Aditya Ghose has been invited to deliver a 2-week course on "Computational Service Science" as part of the Prime Minister of India's key educational project, GIAN, under which under which foreign scholars teach at India’s leading technology institutes to build knowledge and transform higher education across the country.
DSL authors Renuka Sindhgatta (also of IBM Research India), Prof. Aditya Ghose and Dr. Hoa Dam will report on a novel framework that uses data analytics for optimal business process provisioning at the 2016 International Conference on Advanced Information Systems Engineering (CAISE), the premier conference in this area (acceptance rate: 16.5%)
Prof. Aditya Ghose, Prof. Andrew Miller and Dr. David Stirling were among the authors of a submission (with Prof. David Thwaites of the University of Sydney as lead author) entitled "Mining routine radiation oncology clinical datasets within a distributed rapid learning framework: the potential for supporting optimised clinical decisions" that won the Best Abstract Award at the Cancer Institute of NSW Innovations in Cancer Treatment and Care Conference 2014.
Prof. John Mylopoulos, eminent software engineering and conceptual modelling researcher, is currently visiting the Decision Systems Lab for a period of 3 weeks. His visit was preceded by a visit by Prof. Akhil Kumar from Penn State University in early January.
The Decision Systems Lab/Centre for Oncology Informatics has initiated a new collaboration with the Liverpool Hospital on radiation oncology decision support, funded by a $114,000 research contract.
Prof. Aditya Ghose presented a keynote at a plenary session of Int'l Conf. on Service-Oriented Computing Workshops on Nov. 16th, 2015 in Goa, India.
Prof. Aditya Ghose has been invited to deliver a keynote at a joint plenary session of the Service-Oriented Enterprise Architecture and Evolutionary Business Process Workshops at the EDOC-2015 conference (Adelaide, September, 2015). His keynote title: "The post-theoretic enterprise: Data-driven evolution of enterprise functionality".
Rahul Ghosh, PhD
Xerox Research Center India
DATE: Friday, May 13, 2016
TIME: 4pm onwards
Scalable Stochastic Models for Cloud Services
In this talk, we present high fidelity stochastic models for enterprise systems using Cloud computing as an example. Large scale Cloud services are inherently stochastic in nature. Given the large number of system states, any naive modeling approach quickly becomes intractable and scale of the Cloud makes the problems challenging in terms developing practical solutions. Hence, quantifying and predicting the service quality (e.g., performance and dependability) of such Clouds is of interest. This presentation will deep dive into scalable performance, power-consumption and resource over-commit analysis for an Infrastructure-as-a-Service (IaaS) Cloud. The talk will also briefly cover other what-if analysis approaches such as Cloud downtime analysis, capacity planning and resiliency quantification. Models and approaches presented in this research can be useful to a Cloud service provider for planning, forecasting, bottleneck detection, what-if analysis or overall optimization during design, development, testing and operational phases of a Cloud.
Rahul Ghosh is a Research Scientist at Xerox Research Center India. He received his M.S. and Ph.D. in Electrical and Computer Engineering from Duke University, USA in 2009 and 2012 respectively. Prior to this, he received his B.E. in Electronics and Telecommunication Engineering from Jadavpur University, India in 2007. Before joining Xerox, Rahul was an Advisory Software Engineer at IBM Research Triangle Park, USA. Besides being the reliability architect for an IBM Cloud product, he also drove performance and quality improvements in Cloud. Rahul’s research interests include services research, performance and dependability analysis of large scale computer systems, and stochastic processes. During his Ph.D., he also worked as a research intern at IBM T.J. Watson Research Center. Rahul is a co-author of 25+ peer-reviewed conference and journal papers and has filed 20+ US patents (2 issued) primarily in Cloud and analytics.
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