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

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

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

The 17 revised complete papers and six brief papers offered have been rigorously reviewed and chosen from a variety of submissions. The papers conceal quite a lot of themes in prone computing, internet companies, cloud computing, safeguard in providers, and social, peer-to-peer, cellular, ubiquitous and pervasive computing.

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Extra 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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Service Rules Preprocessor (Generate minimal suppot set of the rules) Lookup Table Service Verification Query Execution Fig. 1. Component diagram of our method Before going into the details of the algorithm, we define a few terminologies that are necessary to develop our algorithm. We begin with some background concepts. Definition 1. Support Set: A set U = {(u1 , x1 ), (u2 , x2 ), . . , (ul , xl )} is said to be a support set of a service rule Φ defined over a set of Boolean propositions P = {p1 , p2 , .

10] present an online system to model and predict the cloud VM demand. They utilize two–level ensemble method to capture the characteristics of the high transient demand time series. Besides predictive method, some studies about cloud resource reactive dynamic provisioning technology are also proposed. In the paper [11], Guo et al. describe Seagull, a system designed to facilitate cloud bursting by determining which applications should be transitioned into the cloud and automating the movement process at the proper time.

P¯ = p ⊕ Φp¯. Φp¯ is independent of p. The positive minimal Φp = Φ support set of Φ = positive minimal support set of Φp¯ ∪ {(p, 0)}, since positive minimal support set of Φp¯ makes it 1 and if we substitute p by 0 then we get 0 and XOR of 0 and 1 is 1. As a result we get the positive minimal support set of Φ. Similarly positive minimal support set of Φ = negative minimal support set of Φp¯ ∪ {(p, 1)}. On the other hand, negative minimal support set of Φ = positive minimal support set of Φp¯ ∪ {(p, 1)}, or negative minimal support set of Φp¯ ∪ {(p, 0)}.

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