Cloud-of-Clouds Based Resource Provisioning Strategy for Continuous Write Applications

Nowadays, more and more online services based on cloud computing have taken the places of some traditional applications (e.g., Health Care) that continuously generate large volume of data and require data storage and analysis in time. Such applications can be categorized as "Continuous Writing Applications" (CWA) that have particular requirements on bandwidth, storage, computation, and service reliability. In the meanwhile, they are very sensitive to the cost. In this paper, we present an architecture of multiple cloud service providers (CSPs) or "Cloud-of-Clouds" to provide services to the CWA and propose a novel resource scheduling algorithm to minimize the cost of entire systems. Difference from many research efforts that focus on a single resource, we take many factors into considerations that include user's requirements of bandwidth, storage and computation, the resources of CSPs that can provide, CSPs for data backup, the configurations of Cloud-of-Clouds, system models of CSPs, and many more. We first present the system models of classic CWA applications to capture the resource requirements of users on Cloud-of-Clouds. We then present the problem formulation and our optimal strategy of user scheduling based on Minimum First Derivative Length (MFDL) of load paths among the systems. Through theoretical analysis, we prove that our proposed algorithm Optimal user Scheduling for Cloud-of-Clouds (OSCC) can achieve the optimal solution.