QoS- and Security-aware Composition of Cloud Collaborations

Olga Wenge, Ulrich Lampe, Ralf Steinmetz


While cloud computing promises virtually unlimited resource supplies, smaller providers may not be able to offer sufficient physical IT capacity to serve large customers. A solution is cloud collaborations, in which multiple providers unite forces in order to conjointly offer capacities in the market. Unfortunately, both the QoS and security properties of such collaborations will be determined by the “weakest link in the chain”, hence resulting in a trade-off between the cumulative capacity and the non-functional characteristics of a cloud collaboration. In this position paper, we examine how cloud collaborations can be optimally composed in a QoS- and security-aware fashion within a market scenario involving multiple cloud providers and users. We propose a Mixed Integer Programming-based exact optimization approach named CCCP-EXA.KOM. Based on a quantitative evaluation, we find that the practical applicability of CCCP-EXA.KOM is limited to smallscale problem instances and conclude that the development of tailored heuristic approaches is required.


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Paper Citation

in Harvard Style

Wenge O., Lampe U. and Steinmetz R. (2014). QoS- and Security-aware Composition of Cloud Collaborations . In Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-019-2, pages 578-583. DOI: 10.5220/0004940405780583

in Bibtex Style

author={Olga Wenge and Ulrich Lampe and Ralf Steinmetz},
title={QoS- and Security-aware Composition of Cloud Collaborations},
booktitle={Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},

in EndNote Style

JO - Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - QoS- and Security-aware Composition of Cloud Collaborations
SN - 978-989-758-019-2
AU - Wenge O.
AU - Lampe U.
AU - Steinmetz R.
PY - 2014
SP - 578
EP - 583
DO - 10.5220/0004940405780583