By Noah E. Friedkin and Eugene C. Johnsen

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When executing a query, the content of both the local semantic cache and entries stored in caches of other clients can be used. A new query will be split into probe, remote probe, and remainder sub-queries using a query rewriting process. The probe retrieves the part of the answer, which is available in the local cache. Remote probes retrieve those parts of the query which are available in caches of other clients. The remainder retrieves the missing tuples from the server. Assuming CoopSC is used in the context of geographical information system (GIS), which stores data about earthquakes, the following example illustrates a possible usage scenario: client C1 asks for the events the happened in the area between (20, 20) and (40, 40) (Q1 : select * from earthquakes where 20 < lat and lat < 40 and 20 < long and long < 40).

22 A. Vancea et al. Scenario A. In this experiment, database is located in a Zurich, while clients are running in nodes provided by Rackspace [5] cloud infrastructure. The size of clients’ caches are varied from 0 to 192 MB. The experiment uses 5 clients. The workloads have standard deviations of 150,000. The means of the gaussian curves are distributed uniformly over the range of the unique1 attribute. The difference between the means of two consecutive clients is 200,000. Each query returns 10,000 tuples.

De Abstract. Video streaming over the Internet is becoming increasingly popular. Existing streaming systems range from traditional client/server to peer-to-peer-based approaches. However, no single streaming mechanism fits all possible video streaming scenarios. Therefore, this paper proposes a novel adaptive video streaming approach supporting transitions between different mechanisms in order to provide a stable Quality of Service to streaming clients. Two stages of adaptation are identified and challenges of different transitions are discussed.

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