In our rapidly-growing big-data area, often the big sensory data from Internet of Things (IoT)
cannot be sent directly to the far data-center in an efficient way because of the limitation in …

Cloud computing offers dynamic allocation of resources on demand, the feature which
makes it to stand apart providing great performance, scalability, cost efficient and less …

Optimizing task scheduling in a distributed heterogeneous computing environment, which is
a nonlinear multi-objective NP-hard problem, plays a critical role in decreasing service …

Cloud Computing, the efficiency of task scheduling is proportional to the effectiveness of
users. The improved scheduling efficiency algorithm (also known as the improved Wild …

Cloud computing has become a buzzword in the area of high performance distributed
computing as it provides on-demand access to shared pool of resources over Internet in a …

Metaheuristic algorithms have been effective in obtaining near-optimal solutions for NP-
Complete problems like task scheduling. However, most of these algorithms still suffer from …

Today cloud computing is an evolved form of utility computing which is widely used for
commercial computing needs. The Cloud service provider's success, profit, and efficiency lie …

In recent years, the concept of cloud computing has been gaining traction to provide
dynamically increasing access to shared computing resources (software and hardware) via …

Cloud computing has emerged as the most favorable computing platform for researchers
and industry. The load balanced task scheduling has emerged as an important and …

Task scheduling is a critical issue in distributed computing environments like cloud and fog.
The objective is to provide an optimal distribution of tasks among the resources. Several …