In this work, the authors propose Multi-criteria Decision-making to schedule deadline based
tasks in cloud computing. The existing backfilling task scheduling algorithm could not handle …

Complex workflow applications are widely used in scientific computing and economic
analysis, which commonly include both preemptive and non-preemptive tasks. Cloud …

Task scheduling is an NP-hard problem. In earlier, different task scheduling algorithms are
proposed for cloud computing environment. By adapting new and modified task scheduling …

It is becoming increasingly attractive to execute workflows in the cloud, as the cloud
environment enables scientific applications to utilize elastic computing resources on …

Distributed computing, such as cloud computing, provides promising platforms to execute
multiple workflows. Workflow scheduling plays an important role in multi-workflow execution …

In cloud control systems, generating an efficient and economical workflow scheduling
strategy for deadline-constrained workflow applications, especially in uncertain multi …

In real time, most of the tasks are deadline based. The deadline-based task has different
parameters: arrival time, start time, execution time, and deadline. Many performance-based …

Abstract Bag-of-Tasks (BoT) workflows have appeared in distributed computing platforms
such as Spark, MapReduce, and Pegasus. Budget constraints usually exist for these …

In this article, the authors propose a novel backfilling-based task scheduling algorithm to
schedule deadline-based tasks. The existing backfilling algorithm has some performance …

Execution times are crucial for effectiveness of tasks or jobs scheduling. It is very hard to
accurately estimate execution times because they are influenced by many factors. Though …