Workflows are prevalent in today's computing infrastructures as they support many domains.
Different Quality of Service (QoS) requirements of both users and providers makes workflow …

Workflow scheduling concerns the mapping of complex tasks to cloud resources by taking
into account various Quality of Service requirements. In virtue of continuous proliferation in …

Microservices are widely used for flexible software development. Recently, containers have
become the preferred deployment technology for microservices because of fast start-up and …

Workflows have been used to represent a variety of applications involving high processing
and storage demands. As a solution to supply this necessity, the cloud computing paradigm …

Cloud Service Providers are speedily becoming the target platform for scientific workflow
computations due to the massive possible and flexible pay-as-you-go pricing model …

Scheduling multiple large-scale parallel workflow applications on heterogeneous computing
systems like hybrid clouds is a fundamental NP-complete problem that is critical to meeting …

In the last decade, cloud computing has become an effective and efficient service delivery
platform to offer resources, innovation, and economies of scale on telecommunication …

Workflows are adopted as a powerful modeling technique to represent diverse applications
in different scientific fields as a number of loosely coupled tasks. Given the unique features …

Scheduling is a decision-making mechanism that allows resource sharing among several
activities by determining their order of execution on the available resources. In the …

Cloud computing, specifically its elastic, on demand, and pay per use instances, provide an
ideal model for resourcing large scale state-of-the-art scientific analyses. Such scientific …