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2010 Keynotes ChungSheng Li Director of
Commercial Systems, IBM T.J. Watson Research Center, USA
 ABSTRACT: Delivering business outcome is augmenting and/or replacing traditional fee-for-service business model and has become increasingly prevalent in areas such as strategic outsourcing, smarter planet solutions, crowd sourcing, knowledge marketplace, internet advertisements, and healthcare. As an example, outcome-based strategic outsourcing contracts are expected to grow from ~5% this year (2010) to ~50% by 2015. The primary challenge faced by outcome based business model is the difficulties in providing a transparent and verifiable way for measuring the business outcome between the producer and the consumer without having to reveal too much proprietary information. The rapid penetration of cloud computing is fundamentally changing this landscape as cloud computing facilitated the standardization of service delivery and pricing.This talk will focus on the technology implications on cloud computing from an outcome centric world: (1) Risk adjusted cost performance, which captures the variation of outcome, for system level metrics will receive increasing focus. This metric will either augment or subsume the traditional cost performance metric. (2) Fine-grained resource provisioning: Both resource provisioning and runtime management for system cluster, private & public clouds will be optimized for the heterogeneous workloads generated by vertically integrated solution platforms that will become increasingly outcome centric. (3) Emergence of cloud OS: Outcome centric management of datacenter resources requires capability for elastic partitioning computing resources among on-premise computing clusters, private and public clouds, resulting in the emergence of cloud hypervisor or OS. (4) Proactive Platforms: Outcome centric platforms and system management requires the system platform to be more situational and context aware of the environment and business requirements. Increase use of behavior models of the system platforms and the environment enables the HW/SW platforms to be increasingly proactive in responding to potential future events. About
the Speaker: Keynote 2 (Panel): Trends of Services Computing Stephen S. Yau
Professor of Computer Science and Engineering Director, Information Assurance Center Arizona State University  About the Moderator: Stephen S. Yau is currently a professor of computer science and engineering and the Director of Information Assurance Center at Arizona State University (ASU), Tempe. He served as the Chair of the Department of Computer Science and Engineering at ASU in 1994-2001. Previously, he was on the faculties of Northwestern University, Evanston, Illinois, and University of Florida, Gainesville. He served as the President of the Computer Society of the Institute of Electrical and Electronics Engineers (IEEE) and on the IEEE Board of Directors and the Board of Directors of Computing Research Association. He also served as the Editor-in-Chief of IEEE COMPUTER magazine, and organized many national and international major conferences, including the World Computer Congress sponsored by International Federation for Information Processing (IFIP) in 1989. He founded and organized the Annual International Computer Software and Applications Conference (COMPSAC) sponsored by the IEEE Computer Society, in 1977. He is the general chair of the 2010 IEEE World Congress on Services (SERVICES 2010), the 2010 IEEE 8th International Conference on Web Servics (ICWS 2010), the 2010 IEEE 7th International Conference on Services Computing (SCC 2010), and the 2010 IEEE 3rd International Conference on Cloud Computing (CLOUD 2010).
Keynote 3: Securing Data in the Cloud - Challenges and Research Directions Elisa Bertino
Professor,
Department of Computer Science, Purdue
University
Research Director of the Center for Information Research in Information Assurance and Security  Managing data is arguably one of the reasons for adopting cloud technologies. These technologies are very promising with respect to enhancing scalability, reducing costs, and rapidly adapting to changes in application demands. However the adoption of these technologies is not without risks. Data stored in a cloud would be accessible to a large variety of individuals, like the IT staff of the cloud providers. The cloud providers may in turn outsource data management functions to other providers. Data integrity and availability are critical issues. Physical protection, crucial for data security, may be difficult to assess for the organization owning the data as data may be stored in different countries, which makes difficult making inspections to the data storage location. In some cases, even being able to control the location of the data may be difficult. However, making sure that data is stored or not stored in certain locations is crucial for compliance. Data segregation is essential in the context of multi-tenant contexts in which data owned by different organizations may reside on the same systems. Support for disaster recovery, and accountability are also critical requirements. In the talk we will first elaborate on these issues. We will then present an overview of the MASK system, able to support fine-grained encryption of data while at the same time supporting identity-based privacy-preserving access control on encrypted data. We will conclude the presentation with a discussion about the notion of accountability policies and tools for managing security policies. About the Speaker:
Keynote 4: Thinking Outside the box: How Cloud, Grid, and Services can Make Us Smarter Ian Foster
Director, Argonne National Laboratory Professor, Department of Computer Science, The University of Chicago  ABSTRACT: About the Speaker: |