简介: |
 海报_Kishor S. Trivedi.doc
Abstract:
Handling diverse client demands and managing unexpected failures without degrading performance are two key promises of a cloud delivered service. However, evaluation of cloud service quality becomes difficult as the scale and complexity of cloud system increases. In a cloud environment, a service request from a user goes through a variety of provider specific processing steps from the instant it is submitted until the service is fully delivered. Measurement-based evaluation is expensive especially if many configurations, workload scenarios, and management methods are to be analyzed. To overcome these difficulties, in this talk we propose a general analytic model based approach for end-to-end performability analysis of a cloud service. We illustrate our approach using Infrastructure-as-a-Service (IaaS) cloud, where service availability and provisioning delays are two key QoS metrics. A novelty of our approach is in reducing the complexity of analysis by dividing the overall model into multiple interacting stochastic process models and then obtaining the overall solution by iteration over individual sub-model solutions. In contrast to a single one-level monolithic model, our approach yields a high fidelity model that is tractable and scalable. Our approach and underlying models can be readily extended to other types of cloud services and are applicable to public, private and hybrid clouds.
Biography:
Kishor S. Trivedi holds the Hudson Chair in the Department of Electrical and Computer Engineering at Duke University, Durham, NC. He has been on the Duke faculty since 1975. He is the author of a well known text entitled, Probability and Statistics with Reliability, Queuing and Computer Science Applications, published by Prentice-Hall; a thoroughly revised second edition (including its Indian edition) of this book has been published by John Wiley. He has also published two other books entitled, Performance and Reliability Analysis of Computer Systems, published by Kluwer Academic Publishers and Queueing Networks and Markov Chains, John Wiley. He is a Fellow of the Institute of Electrical and Electronics Engineers. He is a Golden Core Member of IEEE Computer Society. He has published over 500 articles and has supervised 45 Ph.D. dissertations. He is the recipient of IEEE Computer Society Technical Achievement Award for his research on Software Aging and Rejuvenation. He works closely with industry in carrying our reliability/availability analysis, providing short courses on reliability, availability, and in the development and dissemination of software packages such as SHARPE, SREPT and SPNP. His algorithm was used in the reliability analysis of the current return network subsystem of Boeing 787 for the purpose of FAA certification. Reliability/availability analysis of SIP on Websphere he conducted for IBM was responsible for the sale of the system to a Telco customer. He helped implement software rejuvenation in IBM x-series. Currently he is focused on the study of software faults, failures caused by these faults and the mitigations techniques to deal with the failures. |
