Simgrid: a toolkit for the simulation of application scheduling
By Henri Casanova. Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid, 2001
506 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems
View Paper: https://www.semanticscholar.org/paper/e5c9bda4576427a9d2e15d59657eccaa5d2f0a7e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rajkumar Buyya
- Henri Casanova
- David Abramson
- Jonathan Giddy
- R. Wolski
- Arnaud Legrand
- Graziano Obertelli
- Francine Berman
In Hardware and Architecture
- Rajkumar Buyya
- Henri Casanova
- David Abramson
- Jonathan Giddy
- R. Wolski
- Francine Berman
- Graziano Obertelli
- Arnaud Legrand
In Information Systems
- Rajkumar Buyya
- Arnaud Legrand
- David Abramson
- Frederic Desprez
- Henri Casanova
- Martin Quinson
- Neil T. Spring
- R. Wolski
Citations in the corpus
- Grid'5000: a large scale and highly reconfigurable grid experimental testbed (2005, methodology): “SimGrid [3, 4] is used to study single-client multi-servers scheduling in the context of complex, distributed, dynamic, heterogeneous environments.”
- NetworkCloudSim: Modelling Parallel Applications in Cloud Simulations (2011, unknown): “To support the research and development of Grid middleware, several simulators such as SimGrid [6] and GridSim [7] have been proposed.”
- Adaptive Computing on the Grid Using AppLeS (2003, methodology): “Since then, APST has been used for computer graphics applications [45], discrete event simulations [43], [44], and bioinformatics applications [40], [38], [39].”
- Economic-based Distributed Resource Management and Scheduling for Grid Computing (2002, methodology): “• Scheduling Researchers: The scheduling policy developers generally use simulation techniques and tools such as GridSim [81] and Simgrid [43] for evaluating performance of their algorithms.”
- A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok (2001, background): “That is, our focus revolves within an intersection area of grid architectures, economic principles, and scheduling optimizations (see Figure 1), which is essential for pushing the grid into the mainstream computing.”
- SimGrid: A Generic Framework for Large-Scale Distributed Experiments (2008, background): “SimGrid v1 [6] made it easy to prototype scheduling heuristics and to test them on a variety of applications (expressed as task graphs) and platforms.”