Algorithmic Aspects of Cloud Computing: First International - download pdf or read online

By Ioannis Karydis, Spyros Sioutas, Peter Triantafillou, Dimitrios Tsoumakos

ISBN-10: 3319299182

ISBN-13: 9783319299181

ISBN-10: 3319299190

ISBN-13: 9783319299198

This e-book constitutes the completely refereed post-conference lawsuits of the 1st overseas Workshop on Algorithmic elements of Cloud Computing, ALGOCLOUD 2015, held in Patras, Greece, in September 2015 at the side of ALGO 2015.

The thirteen revised complete papers provided including 2 instructional papers have been conscientiously reviewed and chosen from 37 preliminary submissions. They conceal quite a lot of subject matters in major tracks: algorithmic points of large-scale information shops, and software program instruments and disbursed architectures for cloud-based information management.

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Extra resources for Algorithmic Aspects of Cloud Computing: First International Workshop, ALGOCLOUD 2015, Patras, Greece, September 14-15, 2015. Revised Selected Papers

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Analogous to the corre3: S ← S + N umi × θi sponding analysis for the Load opera- 4: end for tion, we can easily check that S is the 5: return S data whose index number is equal to X. Secret Shared Random Access Machine 27 Description of Write: The operation implements writing the data Y in the Procedure. Write(X, Y ) address X using secret shares. Note 1: for i = 1 to n do N umi ← compare(X, i , n + k) that only when i equals X, the N umi 2: 3: θi ← θi + N umi × (Y − θi ) is the secret shares of 1, and then the 4: end for data Y can substitute the former data item, otherwise the data will not be changed.

5 Experimental Evaluation In this section, we present the results of synthetic and realistic experiments provided by column-generation algorithm and best-effort heuristics. We investigate the performance of each in reducing the number of used nodes as well as their margin towards the lower bound. We show that our column generation algorithm delivers good results in reducing the number of iterations and computation time. 42 I. Belaid and L. Eyraud-Dubois Data: Job characteristics: Cj , ρj , φj and Nj Result: Feasible solution: a set Kt of configurations and values (Yi )i∈Kt stating how many machines use each configuration t←0 Kt ← K0 repeat Solve RMP with variables in Kt Generate dual values πj∗ from the RMP solution Solve the subproblem with prices πj∗ if strictly negative reduced cost then Col ← new column with the coefficients of the subproblem solution t←t+1 Kt ← Kt−1 ∪ Col end until no negative reduced cost solution; Solve RMP with variables in Kt as an integer program Algorithm 1.

Software protection and simulation on oblivious RAMs. J. ACM 43, 431–473 (1996) 20. : Oblivious RAM simulation with efficient worst-case access overhead. In: ACM Cloud Computing Security Workshop (CCSW) (2011) 21. HOMOMORPHIC ENCRYPTION. edu/moma/projects. html 22. : Automating efficient RAM-model secure computation. In: Proceedings of the 2014 IEEE Symposium on Security and Privacy (SP 2014), pp. 623–638. C. (2014) 23. : How to garble RAM programs? Q. ) EUROCRYPT 2013. LNCS, vol. 7881, pp. 719–734.

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Algorithmic Aspects of Cloud Computing: First International Workshop, ALGOCLOUD 2015, Patras, Greece, September 14-15, 2015. Revised Selected Papers by Ioannis Karydis, Spyros Sioutas, Peter Triantafillou, Dimitrios Tsoumakos


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