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 companies 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 quite a few submissions. The papers disguise a variety of themes in companies computing, net providers, cloud computing, protection in providers, 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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K}. So, the proposition set of U1 conwi ∈ tains at-least one ui ∈ U, for i = 1, 2, . . , k. Now we consider the fact U1 does not contain any (u, x ¯), such that, (u, x) ∈ U. Hence, we assume U1 contains {(ui1 , xi1 ), (ui2 , xi2 ), . . , (uil , xil )} ⊆ U. Now if we merge the elements of U and U1 , it remains a support set, say W. It is easy to see that, U and U1 are both subsets of W, but U is a positive minimal support set of Φ and U1 is a negative support set of Φ. This contradicts our assumption.

Description of variables Variables Description ps User-defined application performance SLA (response time) po Observed application performance (response time) wh A vector of workload data (number of requests in the system) for a period of past time wp A vector of predicted workload data (number of requests in the system) for a period of future time wc Current workload (number of requests in the system) rp A vector of predicted required resource (number of VMs) rp’ Current predicted required resource (number of VMs) rc Current actual required resource (number of VMs) ra Coordinated resource assignment (number of VMs) 38 G.

If po > ps 40 G. Sun et al. is true, this means the current observed performance has already violated the settled SLA, and also means that the current workload is more heavy than the predicted. Thus it will trigger the resource analyzer to calculate the actual required resource, so that the whole system can be aware of this situation and require more resource to ensure the application performance. 4 Resource Analyzer The resource analyzer is responsible for figuring out the relationship between workload and desired resource, and essentially inverts the estimated model to compute the desired resource allocations in order for the system to meet its performance SLA.

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