Abstract

Cloud computing has been the enabling technology for shifting mass scale computation and storage requirements from individually owned clients towards an on-demand and utility styled alternative that provides many services. However, cost of maintaining datacenters, keeping the environmental ramifications of data centers at check, providing affordable computation alternative to users still needs to be addressed in a wholesome manner. One of the most exciting and recent research areas in cloud computing has been cloud federations that can mitigate the aforesaid problems. The past decade has seen immense efforts towards interoperability of clouds leading to realistic cloud federations. Motivated by these advancements and equipped with available technologies, this paper presents a detailed account of a cooperative cloud market. It delineates trading mechanisms of such cloud markets, extent of coordination among market players with illustrative examples. It also presents a novel two-phase coordinated resource reservation and provisioning (CRRP) approach that allocates cloud resources to users to meet the goal of minimizing users’ cost. To that end, this paper proposes a novel Most Cost Effective Providers’ Resources First (MCEPRF) algorithm. The efficiency of the proposed algorithm has been tested using synthetic data and the simulation results presented herein demonstrate the superiority of the proposed approach over its non-coordinated counterparts.

Highlights

  • Cloud computing, with its underlying technologies, has been widely hyped as the enabling technology that could transform the vision of computing as an omnipresent utility into reality [1]

  • We present a coordinated resource provisioning approach that assumes that mechanisms for coordination and trading by cooperation among cloud providers exist

  • The research presented in this paper considers coordinated resource provisioning among a number of cloud providers via information sharing with a Cloud Market Broker (CMB) entity by means of appropriate agents

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Summary

Introduction

With its underlying technologies, has been widely hyped as the enabling technology that could transform the vision of computing as an omnipresent utility into reality [1] It has brought about a paradigm shift in the computing world by bringing about on-demand access to computing resources by leveraging enormous scale server-side computing in the form of massive datacenters. There have been a number of research articles, such as [3, 7, 8], that studied cost models of datacenters and concluded that server cost and datacenter’s power infrastructure together account for more than three fourths of datacenter’s total cost [9]. Both costs are decided by system capacity in terms of the number of servers [9]

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