Scheduling the complex workflows in cloud environment have drawn enormous attentions
because the distinct features of the cloud resources. Most of the previous approaches …

Cloud computing has long been recognized as the best way to execute and manage high-
performance applications across a variety of domains. Yet, cloud computing service …

Energy consumption and makespan of workflow execution are two core performance
indicators in operating cloud platforms. But, simultaneously optimizing these two indicators …

This systematic review offers a comprehensive analysis of scheduling algorithms designed
for scientific workflows, particularly those handling Big Data. By examining research …

Recently, optimizing the monetary cost and performance metrics of executing workflow
applications in cloud environments has become an important and interesting research …

Workflow scheduling is vital to simultaneously minimize execution cost and makespan for
cloud platforms since data dependencies among large-scale workflow tasks and cloud …

The heterogeneous resource‐required application tasks increase the cloud service provider
(CSP) energy cost and revenue by providing demand resources. Enhancing CSP profit and …

Decomposition-based multiobjective evolutionary algorithms (MOEA/D) have achieved great
success in the field of evolutionary multiobjective optimization, and their outstanding …

In recent years, the need for analytics on large volumes of data has become increasingly
important. It turns out to be extremely useful in making strategic decisions about different …

Cloud computing is a new technology, providing different online resources and services to
users. Load balancing has become an interesting research area in this field. A few existing …