Modern power grids have been becoming complex cyber-physical systems integrated with
distributed energy sources and information and communication facilities. With prevalence of …

The association-rule-based approach is one of the most common technologies for building
recommender systems and it has been extensively adopted for commercial use. A variety of …

The majority of large-scale data intensive applications executed by data centers are based
on MapReduce or its open-source implementation, Hadoop. Such applications are executed …

In order to reduce power and energy costs, giant cloud providers now mix online and batch
jobs on the same cluster. Although the co-allocation of such jobs improves machine …

Workload characteristics are vital for both data center operation and job scheduling in co-
located data centers, where online services and batch jobs are deployed on the same …

This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …

With the rapid development of cloud systems, an increasing number of service workloads
are deployed in the private cloud and/or public cloud. Although large cloud providers such …

Nowadays, energy costs are the most important factor in cloud computing. Therefore, the
implementation of energy-aware task scheduling methods is of utmost importance. A task …

The undeniable potential of computation offloading has been attracting attention from
researchers for more than a decade. With advances in multi-access edge computing (MEC) …

The growth in population and progression of internet services, data size is getting increased
day by day where 105000s of Trillion of data files are there in cloud available in unstructured …