A Multi-Objective Genetic Algorithm-Based Resource Scheduling in Mobile Cloud Computing

Mobile cloud computing is an emerging technology in recent years. This reduces battery consumption and execution time by executing mobile applications remote server. The virtual machine (VM) load balancing among cloudlets MCC improves the performance of application terms response time. Genetic algorithm (GA) popular for providing optimal solution problems. GA can perform well both homogeneous heterogeneous environments. In this paper, authors consider multi-objective genetic (MOGALMCC) environment. MOGALMCC, they distance, bandwidth, memory, cloudlet server to find before scheduling VM another cloudlet. framework MOGALMCC aims improve as minimizes failure rate. experiment result shows that proposed model performed reducing task waiting at