Organized in conjunction with
8-12 December 2014, Austin, Texas, USA
From an enterprise perspective, one key motivation to transform the traditional IT management into Cloud is the cost reduction of the hosted services. In an Infrastructure-as-a-Service (IaaS) Cloud, virtual machine (VM) instances share the physical machines (PMs) in the provider’s data center. Increasing the number of PMs can lead to lower downtime cost at the expense of higher infrastructure and other operational costs (e.g., power consumption and cooling costs). Hence, determining the optimal PM capacity that minimizes the overall cost is of interest. In this talk, we show how an optimization framework can be developed using stochastic availability and performance models of an IaaS Cloud. Specifically, we develop and solve a cost minimization problem to address the capacity planning in an IaaS Cloud: what is the optimal number of PMs that minimizes the total cost of ownership for a given downtime and performance requirement set by service level agreements? We use simulated annealing, a well-known stochastic search algorithm, to solve the optimization model. For each point in the search space, we need to determine, the performance, availability and power consumption requirements. Hence we develop scalable analytic models for the performance, availability and power consumption of an IaaS Cloud. The essence of our approach is in reducing the complexity of analysis by dividing the overall model into multiple interacting stochastic process sub-models and then obtaining the overall solution by (fixed-point) iteration over individual sub-model solutions.
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, originally published by Prentice-Hall; a thoroughly revised second edition (including its Indian edition) of this book is published by John Wiley in 2001. 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 has published over 500 articles and has supervised 45 Ph.D. dissertations. He is the recipient of IEEE Technical Achievement Award for his research on Software Aging and Rejuvenation. He works closely with industry (in particular, IBM, NEC, Huawei) in carrying out projects on reliability/availability and survivability analysis, software aging and rejuvenation, providing short courses on reliability, availability, performability evaluation and in the development and dissemination of software packages such as SHARPE and SPNP.
Almost everyone sees the potential of Internet of Things but how can businesses truly unlock that potential. The key will be in the ability to discover business insight in the midst of an ocean of Big Data generated from billions of embedded devices via Systems of Discover. Businesses will also need to ensure that they can sustain that insight by leveraging the cloud for global reach, scale and elasticity. Without bringing these three elements together via Systems of Discover you either end up with an Internet of somethings and/or a big mess of data.
Mac Devine is an IBM Distinguished Engineer who currently serves as Director of CloudFirst Innovation and CTO, IBM Cloud Services Division. He was the technical lead responsible for the SoftLayer acquisition by IBM, which led to the creation of the IBM Cloud Services Division. With 24 years of experience with networking and virtualization, he is an IBM Master Inventor and member of the IBM Academy of Technology. He has previously served as the Chief Architect for IBM System z Enterprise Software, as well as the CTO for IBM Cloud partnerships and client innovations within the IBM Corporate Strategy team. He has also served as Director and CTO for Cloud Portfolio within IBM Global Technical Services. He is theco-author of Springer’s Handbook of Cloud Computing used by colleges and universities, and serves as a faculty member for the Cloud and Internet-of-Things Expos.
To be announced