Integrated Multi-Criteria Decision Making Approach for Service Brokering in Cloud-enabled IoT Environments

Service brokering plays a crucial role in fulfilling the requirements of end users, considering the heterogeneity of cloud datacenters and diversity of applications preferences. This work proposes an integrated Multi Criteria Decision Making (MCDM) approach for service brokering in cloud-enabled IoT environments. The goal of the proposed algorithm is to choose, for every IoT service request, an appropriate data centre that would satisfy that request cost and performance preferences. The baseline of the proposed algorithm is the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) MCDM technique. Two versions of the proposed algorithm are presented and evaluated. First, an Integrated-TOPSIS technique in which the weights of the decision criteria are statically set by IoT users according to the their application preferences. Second, Entropy-TOPSIS technique where the criteria weights are selected according to the Entropy method. Both cases are implemented using a specialized open source simulation tool. According to the obtained results, the proposed algorithm has proven its ability to achieve noticeable brokering performance considering the available performance and cost properties of different service providers. Hence, the proposed algorithm can be feasibly applied to augment service brokering in cloud-enabled IoT environments.