Light-Weighted Decision Support Framework for Selecting Cloud Service燩roviders

Abstract

Multi-criteria decision making (MCDM) is a technique used to achieve better outcomes for some complex business-related problems, whereby the selection of the best alternative can be made in as many cases as possible. This paper proposes a model, the multi-criteria decision support method, that allows both service providers and consumers to maximize their profits while preserving the best matching process for resource allocation and task scheduling. The increasing number of service providers with different service provision capabilities creates an issue for consumers seeking to select the best service provider. Each consumer seeks a service provider based on various preferences, such as price, service quality, and time to complete the tasks. In the literature, the problem is viewed from different perspectives, such as investigating how to enhance task scheduling and the resource allocation process, improve consumers' trust, and deal with network problems. This paper offers a novel model that considers the preferences of both service providers and consumers to find the best available service provider for each consumer. First, the model adopts the best-worst method (BWM) to gather and prioritize tasks based on consumers' and service providers' preferences. Then, the model calculates and matches similarities between the sets of tasks from the consumer's side with the sets of tasks from the provider's side to select the best service provider for each consumer using the two proposed algorithms. The complexity of the two algorithms is found to be O(n 3 ).

Dynamic Cloud Resource Allocation: A Broker-Based Multi-Criteria Approach for Optimal Task Assignment

“…Table 1. Comparison of various algorithms based on how tasks are ranked and when the algorithms should be adopted [36].…”