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 e-book constitutes the refereed lawsuits of the ninth Asia-Pacific companies Computing convention, APSCC 2015, held in Bangkok, Thailand, in December 2015.

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

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

Example text

Not only are we interested in extracting the test scenarios, we also address the problem of computing the minimal cardinality valuations that can make a given rule true or false. This ensures that redundant scenarios are not used in our validation process and we indeed test a given business rule repository against a minimal relevant scenario set, while not compromising on the exhaustiveness of the verification process. The test scenarios synthesized by our approach are expected to be used by a rule logic implementation team to test their deployment models.

Uk , xk )} and (u, x) ∈ U, if Φp=¯x is independent of {u1 , u2 , . . , uk }. Example 4. p5 +p6 ). {(p1 , 1), (p2 , 1)} is a positive minimal support set of Φ. e. Φp¯1 ) is independent of p2 . On the other hand, {(p1 , 0), (p3 , 0)} is a negative minimal support set of Φ. e. Φp1 ) is not independent of p3 . Therefore, p1 is not a strong proposition with respect to {(p1 , 0), (p3 , 0)}. Definition 6. Strong Minimal Support Set: A minimal support set U is said to be a strong minimal support set with respect to a service rule Φ, if all the propositions appearing in U are strong.

But there is always delay when reacting to the workload changing, even when 36 G. Sun et al. it is seasonal. Therefore, we design a novel hybrid scheme involving both predictive and reactive process, which help system keep better application performance under periodic workload, as well as irregular workload. 3 System Architecture In this paper, we propose RPHRPM: a reactive-predictive hybrid resource provision method. Figure 1 shows the overall architecture of RPHRPM. It mainly consists of four parts: monitor, predictive process, reactive process and resource controller.

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