Cloud computing is a virtualized, scalable, ubiquitous, and distributed computing paradigm that provides resources and services dynamically in a subscription based environment …
EN Alkhanak, SP Lee, R Rezaei, RM Parizi - Journal of Systems and …, 2016 - Elsevier
Workflow scheduling in scientific computing systems is one of the most challenging problems that focuses on satisfying user-defined quality of service requirements while …
J Liu, S Lu, D Che - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
This paper provides a survey of the state-of-the-art workflow scheduling algorithms with the assumption of cloud computing being used as the underlying compute infrastructure in …
Cloud computing has become the main source for executing scientific experiments. It is an effective technique for distributing and processing tasks on virtual machines. Scientific …
Cloud computing, an important source of computing power for the scientific community, requires enhanced tools for an efficient use of resources. Current solutions for workflows …
I Casas, J Taheri, R Ranjan, L Wang… - Future Generation …, 2017 - Elsevier
Cloud computing provides substantial opportunities to researchers who demand pay-as-you- go computing systems. Although cloud provider (eg, Amazon Web Services) and application …
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 …
MA Rodriguez, R Buyya - Concurrency and Computation …, 2017 - Wiley Online Library
Large‐scale scientific problems are often modeled as workflows. The ever‐growing data and compute requirements of these applications has led to extensive research on how to …
The increasing use of workflows in various fields of science has led to the development of the Workflow as a Service (WaaS) platform, which provides workflow execution as a service …