Download Advances in Services Computing: 9th Asia-Pacific Services by Lina Yao, Xia Xie, Qingchen Zhang, Laurence T. Yang, Albert PDF

By Lina Yao, Xia Xie, Qingchen Zhang, Laurence T. Yang, Albert Y. Zomaya, Hai Jin

This publication constitutes the refereed complaints of the ninth Asia-Pacific providers Computing convention, APSCC 2015, held in Bangkok, Thailand, in December 2015.

The 17 revised complete papers and six brief papers provided have been rigorously reviewed and chosen from a number of submissions. The papers disguise quite a lot of themes in companies computing, internet companies, cloud computing, defense in companies, and social, peer-to-peer, cellular, ubiquitous and pervasive computing.

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Additional info for Advances in Services Computing: 9th Asia-Pacific Services Computing Conference, APSCC 2015, Bangkok, Thailand, December 7-9, 2015, Proceedings

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Table 1 presents the experimental results. Columns 5, 6 and 7 show the time taken by Quine McCluskey, our method and CUDD Implementation respectively. As evident from Table 1, our A Framework for Fast Service Verification and Query Execution 31 method takes much less time as compared to Quine McCluskey on all the benchmarks. Quine McCluskey is inherently nonscalable, hence we obtained timeouts on some of the larger cases. We also have comparative performance improvement over the CUDD API as evident on some of the cases.

As described in the monitor part above, we choose response time as the monitored performance metric as well as user-defined SLA. Therefore, inputs of the reactive trigger module are the current observed app response time po pulled from the monitor module and application SLA ps defined by the user. Then the inputs will be sent to the predicate function. If po > ps is false, this means that the current observed performance meets the requirement of the SLA. Then it will return and wait for the next execution.

22 S. Chattopadhyay et al. Definition 3. Co-factor: The positive (negative) co-factor of a service rule Φ defined over a set of Boolean propositions P = {p1 , p2 , . . pn } with respect to a proposition pi ∈ P is obtained by substituting 1 (true) / 0 (false) in Φ. , Φpi = Φ(p1 , p2 , . . , pi = 1, . . , pn ). Similarly, the negative cofactor, denoted as Φp¯i is obtained as Φ(p1 , p2 , . . , pi = 0, . . , pn ). The co-factors are independent of the proposition pi with respect to which they are computed.

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