Today, the number of data-intensive and compute-intensive applications like business and
scientific workflows has dramatically increased, which made cloud computing more popular …

Task scheduling is a critical issue in distributed computing environments like cloud and fog.
The objective is to provide an optimal distribution of tasks among the resources. Several …

With the enormous increase in energy usage by cloud data centers for handling various
workflow applications, the energy-aware cloud workflow scheduling has become a hot …

Internet of Things (IoT) is a huge network and establishes ubiquitous connections between
smart devices and objects. The flourishing of IoT leads to an unprecedented data explosion …

The rise of multi-cloud systems has been spurred. For safety-critical missions, it is important
to guarantee their security and reliability. To address trust constraints in a heterogeneous …

Workflow scheduling is a key issue and remains a challenging problem in cloud computing.
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …

With the ever-growing data and computing requirements, more and more scientific and
business applications represented by workflows have been moved or are in active transition …

The rapid evolution of smart services and Internet of Things devices accessing cloud data
centers can lead to network congestion and increased latency. Fog computing, focusing on …

With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …

Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …