S Pandey, L Wu, SM Guru… - 2010 24th IEEE …, 2010 - ieeexplore.ieee.org
Cloud computing environments facilitate applications by providing virtualized resources that can be provisioned dynamically. However, users are charged on a pay-per-use basis. User …
Z Tang, L Qi, Z Cheng, K Li, SU Khan, K Li - Journal of Grid Computing, 2016 - Springer
The growth of energy consumption has been explosive in current data centers, super computers, and public cloud systems. This explosion has led to greater advocacy of green …
E Deelman, G Singh, MH Su, J Blythe… - Scientific …, 2005 - content.iospress.com
This paper describes the Pegasus framework that can be used to map complex scientific workflows onto distributed resources. Pegasus enables users to represent the workflows at …
D Poola, MA Salehi, K Ramamohanarao… - … for big data and the cloud, 2017 - Elsevier
During the recent years, workflows have emerged as an important abstraction for collaborative research and managing complex large-scale distributed data analytics …
J Yu, R Buyya - Journal of grid computing, 2005 - Springer
With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute …
This collection of articles on 'Work? ows for e-Science'is very timely and-portant. Increasingly, to attack the next generation of scienti? c problems, multidisciplinary and …
With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute …
In this paper we describe the Pegasus system that can map complex workflows onto the Grid. Pegasus takes an abstract description of a workflow and finds the appropriate data and …
F Xhafa, A Abraham - Future generation computer systems, 2010 - Elsevier
In this paper we survey computational models for Grid scheduling problems and their resolution using heuristic and meta-heuristic approaches. Scheduling problems are at the …