In cloud computing environment, the workflow allocation mainly focuses on task assignment
to satisfy the quality-of-service (QoS) standards and workload balancing by the best use of …

As an effective distributed renewable energy utilization paradigm, a microgrid is expected to
realize the high integration of the industrial cyber-physical systems (CPS), which has …

In recent years, more and more large-scale data processing and computing workflow
applications run on heterogeneous clouds. Such cloud applications with precedence …

Nowadays, security and scheduling are the most crucial aspects of each distributed real-
time application due to the rapidly enhanced use of such applications. This study presents a …

Swarm intelligence and evolutionary algorithms (SI&EAs) have been widely applied to
various fields. In this paper, we make the first attempt, to our best knowledge, to apply an …

Recently, with the expansion of communications and generated data, the need for
processing this high volume of data in minimum time and maximum speed has increased …

Increasing numbers of workflow applications are being deployed on cloud platforms. When
deploying workflows in a hybrid cloud environment, additional concerns emerge: 1. privacy …

In the last decade, cloud computing has become an effective and efficient service delivery
platform to offer resources, innovation, and economies of scale on telecommunication …

Task scheduling is still an open issue for improving the performance of cloud services.
Focusing on addressing the issue, we first formulate the task-scheduling problem of …

Distributed computing, eg, cluster and cloud computing, has been applied in almost all
areas for data processing, while high resource efficiency and user satisfaction are still the …