Market-Driven Continuous Double Auction Method for Service Allocation in Cloud Computing

Abstract

In Cloud Computing, the computing resources, either software or hardware, are virtualized and allocated as services from providers to users. Each service requires various resources which all should be allocated for utilizing the service. Market-oriented approach is one of the most popular methods for managing Cloud services. In this paper a market-driven continuous double auction method (MCDA) for efficient cloud service allocation is presented which enables consumers to order various resources as a workflow for utilizing requested services. Also in the presented method consumers and providers make bids and requests based on market rivalry, time, opportunity, and eagerness factor. Ex-perimental results show that trading price depends on market supply and demand fairly and also proposed method is efficient in terms of successful allocation rate, resource utilization, and average connection time.