Many systems or applications have been developed for distributed environments with the
goal of attaining multiple objectives in the face of environmental challenges such as high …

Real-world sequential decision-making tasks are generally complex, requiring trade-offs
between multiple, often conflicting, objectives. Despite this, the majority of research in …

Efficient task and workflow scheduling are very crucial for increasing performance, resource
utilization, customer satisfaction, and return of investment for cloud service providers. Based …

Cloud Computing provides an effective platform for executing large-scale and complex
workflow applications with a pay-as-you-go model. Nevertheless, various challenges …

Heterogeneous multiprocessor platform has been widely adopted as an effective approach
to providing strong calculation capability while keeping complexity and energy consumption …

To maximize task scheduling performance and minimize nonreasonable task allocation in
clouds, this paper proposes a method based on a two-stage strategy. At the first stage, a job …

For task-scheduling problems in cloud computing, a multi-objective optimization method is
proposed here. First, with an aim toward the biodiversity of resources and tasks in cloud …

Nowadays, more and more computer-based scientific experiments need to handle massive
amounts of data. Their data processing consists of multiple computational steps and …

Large-scale applications expressed as scientific workflows are often grouped into
ensembles of inter-related workflows. In this paper, we address a new and important …

In the last few years, we have witnessed the huge popularity of one of the most promising
technologies of the modern era: the Internet of Things. In IoT, various smart objects (smart …