Fog computing brings the cloud closer to a user with the help of a micro data center (),
leading to lower response times for delay sensitive applications. RT-SANE (R eal-T ime S …

Cloud Data Centers have become the key infrastructure for providing services. Instance
migration across different computing nodes in edge and cloud computing is essential to …

The main intent of the cloud computing to provide utilities to the demands of the users that
are booming day by day. To meet the requirements, existing scheduling algorithms focus on …

Featured Application Practitioners and industry adopters can use the descriptive feature
comparison as a decision structure for identifying the most suited container orchestration …

Data center power consumption is among the largest commodity expenditures for many
organizations. Reduction of power used in cloud data centres with heterogeneous physical …

With the rapid increase in the use of cloud computing systems, an efficient task scheduling
policy, which deals with the assignment of tasks to resources, is required to obtain maximum …

Cloud computing serves as a platform for remote users to utilize the heterogeneous
resources in data-centers to compute High-Performance Computing jobs. The physical …

We present an approach to model the deployment costs, including compute and IO costs, of
Microservice-based applications deployed to a public cloud. Our model, which we dubbed …

Continuous detection of performance anomalies such as service degradations has become
critical in cloud and Internet services due to impact on quality of service and end-user …

Network Function Virtualization (NFV) and service orchestration simplify the deployment and
management of network and telecommunication services. The deployment of these services …