Scheduling in mobile grid for telemedicine application using improved ABC algorithm
T. Vigneswari, M. A. Maluk Mohamed · 2016
The massive growth in the field of mobile computing and communications paved way to another perception of grid computing called as mobile grid computing. Resource management is one of the key concerns in the effective utilization of mobile grid concept. In this work, a hybrid Artificial Bee Colony (ABC) using modified Heterogeneous Earliest Finish Time (HEFT) based clustering along with min-min algorithm to create the initial population is proposed. We have adapted Cluster Heterogeneous Earliest First Min-Min Artificial Bee Colony (CHMM-ABC) scheduling algorithm which will efficiently schedule the data to computational resource to congregate the scope of the middleware successfully. Simulations are conducted with wide-range of jobs and resource clusters.