With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

During the recent years, workflows have emerged as an important abstraction for
collaborative research and managing complex large-scale distributed data analytics …

Similar to other industries, the software engineering domain is plagued by psychological
diseases such as burnout, which lead developers to lose interest, exhibit lower activity …

In scheduling a large number of user jobs for parallel execution on an open-resource grid
system, the jobs are subject to system failures or delays caused by infected hardware …

In the recent past, security-sensitive applications, such as electronic transaction processing
systems, stock quote update systems, which require high quality of security to guarantee …

A complex computing problem may be efficiently solved on a system with multiple
processing elements by dividing its implementation code into several tasks or modules that …

Effective task scheduling is essential for obtaining high performance in heterogeneous
computing systems (HCS). However, finding an effective task schedule in HCS, requires the …

Cloud environments offer low-cost computing resources as a subscription-based service.
These resources are elastically scalable and dynamically provisioned. Furthermore, cloud …

Efficient task scheduling is fundamental for parallel applications to achieve good
performance on distributed systems. While extensive work exists for scheduling tasks on …

Finding an optimal solution to the problem of scheduling an application modeled by a
directed acyclic graph (DAG) onto a distributed system is known to be NP-complete. The …