In recent years, cloud computing plays a crucial role in many real applications. Thus, how to
solve workflow scheduling problems, ie, allocating and scheduling different resources …

Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …

Recently introduced by CISCO, the fog computing paradigm extends cloud-based
computing services near the Internet of Things (IoT) devices to serve their applications …

Heterogeneous cloud datacenters are well-suited and cost-efficient platforms for execution
of scientific workflows requested from academics. Workflow scheduling algorithms have …

A cloud workflow scheduling problem is extremely challenging for its large scale and the
elasticity and heterogeneity of cloud resources. In this paper, we model a cloud workflow …

Cloud computing (CC) is a computing paradigm to satisfy end users' computing and storage
needs. Cloud data centers (DC) must continuously improve their performance due to the …

The fast evolution of the Internet of Things (IoT) marketplace demands real-time interactive
services. Cloud computing systems aim to harness remote data center-based computing …

Response time is one of the most important metrics in cloud data centers that measure
application performance and availability. The response time depends on how the scheduler …

The rapid expansion of cloud computing has led to a surge in the requirement for effective
resource management and strong security protocols in data centers. This dissertation …