A Multi-commodity Network Flow Model for Cloud Service Environments [chapter]

Ioannis M. Stephanakis, Syed Noor-Ul-Hassan Shirazi, Antonios Gouglidis, David Hutchison
2016 Communications in Computer and Information Science  
Next-generation systems, such as the big data cloud, have to cope with several challenges, e.g., move of excessive amount of data at a dictated speed, and thus, require the investigation of concepts additional to security in order to ensure their orderly function. Resilience is such a concept, which when ensured by systems or networks they are able to provide and maintain an acceptable level of service in the face of various faults and challenges. In this paper, we investigate the
more » ... y flows problem, as a task within our D 2 R 2 +DR resilience strategy, and in the context of big data cloud systems. Specifically, proximal gradient optimization is proposed for determining optimal computation flows since such algorithms are highly attractive for solving big data problems. Many such problems can be formulated as the global consensus optimization ones, and can be solved in a distributed manner by the alternating direction method of multipliers (ADMM) algorithm. Numerical evaluation of the proposed model is carried out in the context of specific deployments of a situation-aware information infrastructure.
doi:10.1007/978-3-319-44188-7_14 fatcat:khmdvluyk5eabnbueatmug7do4