Cloud Computing and Services Science: 5th International by Markus Helfert, Víctor Méndez Muñoz, Donald Ferguson

By Markus Helfert, Víctor Méndez Muñoz, Donald Ferguson

This booklet constitutes the completely refereed court cases of the fifth foreign convention on Cloud Computing and providers technological know-how, nearer 2015, held in Lisbon, Portugal, in may possibly 2015.

The 14 revised complete papers provided including one invited paper have been chosen from 146 paper submissions. The papers specialise in the next issues: cloud computing basics; providers technology foundations for cloud computing; cloud computing structures and purposes; cloud computing allowing applied sciences; and cellular cloud computing services.

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Extra info for Cloud Computing and Services Science: 5th International Conference, CLOSER 2015, Lisbon, Portugal, May 20-22, 2015, Revised Selected Papers

Sample text

We graphically represent the storage of a chunk i in a data center k as an edge e = (i, k) (with the initial extremity (i = I(e)) of e corresponding to a chunk, and the terminal extremity (k = T (e)) of e) representing the data center (see Fig. 2). Based on this configuration, one can construct a new weighted bipartite graph G = (N ∪ S, E), where N is the set of vertices representing encrypted chunks to be stored, and S is the set of all available data centers (see Fig. 2). E is the set of weighted edges between N and S constructed as follows: there is an edge e = (i, k) between each encrypted chunk i and each available data center k, and the weight of e is given by μk νi .

10]). They affirm that cloud customers may form their expectations based on their past experiences and organizations’ needs. They are likely to conduct some sort of survey before choosing a cloud service provider similar to what people do before choosing an Internet Service Provider (ISP). Customers are expected to also establish to what extent providers satisfy confidentiality, integrity and availability requirements. On the other hand, cloud service providers may promise a lot to entice a customer to sign a deal, but harsh reality is frequently accompanied by insurmountable barriers to keeping some of their promises.

Figure 8 depicts the evolution of r for different chunks number ranging from 1 to 60. Thus, we remark that for a number of chunks |N ∗ | ≤ 43, the number of required replicas is equal to 2, and for |N ∗ | ≥ 44 chunks, the number of replicas converges to 3 and there is no need to replicate more even for larger number of chunks. This may lead to store large data volumes with reduced costs when satisfying the required QoS (data availability). Note that this result is very similar than that determined by the Google File System solution [17].

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