QoS-Aware Load Balancing Approach (QALBA) for Task Scheduling and Resource Selection using Enriched-Look ahead HEFT (E-LHEFT) Algorithm

The present work discusses the service level agreement based optimization approach to satisfy both the mobile users and cloud service providers in the proposed MCC framework. The QoS-aware load balancing approach (QALBA) was implemented the task scheduling and resource selection using Enriched-Look ahead HEFT (E-LHEFT) algorithm by exploiting MAUI architecture and Pareto principle. The implementation results of the QALBA methodology with the baseline methods were presented.