WISE2012Azer BestavrosKeynote title: Mechanisms for Efficient Cloud Markets Abstract Despite the increased adoption of the cloud computing paradigm, we do not possess (yet) a good handle on how to define and verify "cloud trustworthiness" -- how to design mechanisms that deliver SLA attributes along dimensions of performance, reliability, security, privacy, and economic utility, and how to expose tradeoffs along these dimensions to cloud customers in ways that are both practical and usable. In this talk, I will summarize research pursued under the BU CloudCommons project (http://csr.bu.edu/cc) aimed at addressing these issues, focusing on novel approaches seeking to build trust in the economic utility of IaaS marketplaces. I will start by presenting a periodic model for the expressive specification of elastic cloud supply and demand. This model allows SLAs to leverage a granular representation of cloud resources, exposing flexibilities that enable providers to safely transform SLAs from one form to another for efficient workload colocation. Next, I will show that expressive SLAs facilitate the emergence of an efficient, trustworthy marketplace, by presenting three game-theoretic mechanisms for cloud resource management. The first mechanism enables selfish parties to collocate their workloads in an attempt to minimize the individual costs they incur to secure the shared cloud resources necessary to support their application SLAs. The second mechanism enables rational parties to coordinate their use of a shared resource so as to maximize their individual utilities by creating a marketplace for trading usage rights. The third mechanism enables dynamic pricing of IaaS clouds in a way that ensures efficient utilization of providers' resources, while guaranteeing rational fairness to all customers. For all these models and mechanisms, and in addition to various analytical results, I will present experimental evaluations of deployed CloudCommons prototypes and services that confirm their predicted utilities. Short Biography
Ricardo Baeza-YatesKeynote title: Usage Data in Web Search: Benefits and Limitations Abstract Web Search, which takes its root in the mature field of information retrieval, evolved tremendously over the last 20 years. The field encountered its first revolution when it started to deal with huge amounts of Web pages. Then, a major step was accomplished when engines started to consider the structure of the Web graph and link analysis became differentiators in both crawling and ranking. Finally, a more discrete, but not less critical step, was made when search engines started to monitor and mine the numerous (mostly implicit) signals provided by users while interacting with the search engine. We focus here on this third "revolution" of large scale usage data. We detail the different shapes it takes, illustrating its benefits through a review of some winning search features that could not have been possible without it. We also discuss its limitations and how in some cases it even conflicts with some natural users' aspirations such as personalization and privacy. We conclude by discussing how some of these conflicts can be circumvented by using adequate aggregation principles to create "ad hoc" crowds. This is joint work with Yoelle Maarek from Yahoo! Labs Haifa. Short Biography
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