Resource Management Challenges for the Infinite Cloud
William Tärneberg, Amardeep Mehta, Johan Tordsson, Maria Kihl, Erik Elmroth · 2015
Cloud applications are growing more and more complex be-cause of user mobility, hardware heterogeneity, and multi-component nature. Today’s cloud infrastructure paradigm, based on distant data centers are not able to provide con-sistent performance and low enough communication latency for future applications. These discrepancies can be accom-modated using existing large-scale distributed cloud infras-tructure, also known as Infinite Cloud, which is amalgam of several Data Centres hosted by a Telecom Network. The Infinite Cloud provides opportunity for applications with high capacity, high availability, and low latency. The Infinite Cloud infrastructure and federated cloud paradigms intro-duce several challenges due to the heterogeneous nature of the resources of di↵erent scale, latencies due to geographi-cal locations and dynamic workload, to better accommodate distributed applications with increased diversity. Managing a vast heterogeneous infrastructure of this nature can no longer be done manually. Autonomous, distributed, collab-orative, and self-configuring systems need to be developed to manage the resources of the Infinite Cloud in order to meet application Service Level Agreements (SLAs), and the operators ’ internal management objectives, [8]. In this pa-per, we discuss some of the associated research challenges for such a system by formulating an optimization problem based on its constituent cost models. The decision maker takes into account the computational complexity as well as stability of the optimal solution.