Cloud computing has emerged as a popular computing paradigm for hosting large
computing systems and services. Recently, significant research is carried out on Resource …

Hybrid cloud is a cost-efficient way to address the problem of insufficient resources for
meeting the peak demand of its users for a service provider, which elastically scales up or …

Following the adoption of cloud computing, the proliferation of cloud data centers in multiple
regions, and the emergence of computing paradigms such as fog computing, there is a need …

Industry 4.0 have automated the entire manufacturing sector (including technologies and
processes) by adopting Internet of Things and cloud computing. To handle the workflows …

Task scheduling in Cloud computing is a challenging aspect due to the conflicting
requirements of end users of cloud and the Cloud Service Provider (CSP). The challenge at …

Cloud computing has been widely adopted due to the flexibility in resource provisioning and
on-demand pricing models. Entire clusters of Virtual Machines (VMs) can be dynamically …

Scientific workflows consist of many interdependent tasks dictated by their data
dependencies. As these workflows are becoming resource-intensive in both data and …

In an IaaS cloud, virtual machines (VMs), also called instances, may be classified as
reserved instances and on-demand instances. The reserved instances having long-term …

In the face of escalating global energy consumption and rising CO2 emissions, this research
investigates the pivotal role played by China's Energy Use Rights Trading (EURT) system in …

With growing demand on resources situated at the cloud datacenters, the need for
customers' resource selection techniques becomes paramount in dealing with the concerns …