A case for grid computing on virtual machines
By R. Figueiredo, P. Dinda, José A. B. Fortes. 23rd International Conference on Distributed Computing Systems, 2003. Proceedings., 2003
431 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/722730f350cab3fd1a3335674b19a5adb40f5334
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
- Ewa Deelman
- Gaurang Mehta
- B. Berriman
- T. Freeman
- John Good
- L. Cherkasova
- Amin Vahdat
- Gregor von Laszewski
In Information Systems
- B. Berriman
- T. Freeman
- John Good
- L. Cherkasova
- Amin Vahdat
- Ewa Deelman
- Gregor von Laszewski
- Lizhe Wang
Citations in the corpus
- On the Use of Cloud Computing for Scientific Workflows (2008, methodology): “Using virtualization in conjunction with Grid computing, known as “cloud computing” or Infrastructure-as-a-Service (IaaS), has been recognized as a potential solution to these problems [8, 9].”
- Architectural Requirements for Cloud Computing Systems: An Enterprise Cloud Approach (2011, neutral): “[23], lease-oriented mechanism for Grid system virtualization by Shirako [39], Autonomic Clouds on the Grid by Murphy et al.”
- Virtualization: A Survey on Concepts, Taxonomy and Associated Security Issues (2010, background): “It is also possible to change the specifications of virtual computers while they are running, for example the amount of ram, hard disc size and more [8].”
- Application Performance Management in Virtualized Server Environments (2006, background): “Due to workload changes, resources used by the VMs, (CPU, memory, disk and Network I/O) will vary, possibly leading to SLA violations.”
- A case for high performance computing with virtual machines (2006, methodology): “In [11], the authors advocate an approach of using VMs for grid computing.”
- Dynamic Scheduling of Virtual Machines Running HPC Workloads in Scientific Grids (2007, background): “The biggest challenge for running HPC jobs in the virtual machines (VM) on the Grid [2] lies in how significant the virtualization overhead is since the virtualization technology became an established desktop tool [ 15 ], and whether jobs with tight deadlines could meet their obligation if resource ”
- Power-aware scheduling of virtual machines in DVFS-enabled clusters (2009, background): “In general, cluster computing can benefit from virtual machines in the following aspects [23].”