Cloud Partner Selection Algorithm for Dynamic Cloud Collaboration

The idea of composite cloud service has been emerging to reduce negative impact of cloud bursting. The novel idea of composite cloud services is achieved by forming a dynamic cloud collaboration platform among cloud providers. An important prerequisite of dynamic collaborative cloud formation is to reduce the cost of infrastructure and prevent loss to business enterprises owing to cloud bursting. The major concern in dynamic cloud collaboration is to minimize conflict among cloud providers and ensure each provider´´s benefit. In recent years several market based models have been proposed that deal with twofold objectives: First, conflict minimization among providers and Second, benefit maximization of the providers. However, existing combinatorial auction based market models that attempt to achieve dynamic cloud collaboration are computationally in efficient. In this paper we have proposed cloud partner matching algorithm to facilitate partner selection process. Our proposed cloud partner matching algorithm minimizes conflicts among cloud providers by mutual consent.