The development of cloud infrastructures inspires the emergence of cloud-native computing.
As the most promising architecture for deploying microservices, serverless computing has …

Workflow scheduling is one of the prominent issues in cloud computing which is aimed at
complete execution of workflows by considering their QoS requirements such as deadline …

Fog computing, also called “clouds at the edge,” is an emerging paradigm allocating
services near the devices to improve the quality of service (QoS). The explosive prevalence …

Serverless computing (Function-as-a-Service) provides fine-grain resource sharing by
running functions (or Lambdas) in containers. Data-dependent functions are required to be …

Cloud computing provides effective mechanisms for distributing the computing tasks to the
virtual resources. To provide cost-effective executions and achieve objectives such as load …

In serverless computing, each function invocation is executed in a container (or a Virtual
Machine), and container cold startup results in long response latency. We observe that some …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

Workflow scheduling is one of the challenging issues in emerging trends of the distributed
environment that focuses on satisfying various quality of service (QoS) constraints. The …

Green Computing is a recent trend in computer science, which tries to reduce the energy
consumption and carbon footprint produced by computers on distributed platforms such as …

In recent years, companies have used the cloud computing paradigm to run various
computing and storage workloads. The cloud offers faster and more profitable services …