Gridsim: A toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing
Clusters, Grids, and peer‐to‐peer (P2P) networks have emerged as popular paradigms for
next generation parallel and distributed computing. They enable aggregation of distributed …
next generation parallel and distributed computing. They enable aggregation of distributed …
Economic-based distributed resource management and scheduling for grid computing
R Buyya - arXiv preprint cs/0204048, 2002 - arxiv.org
Computational Grids, emerging as an infrastructure for next generation computing, enable
the sharing, selection, and aggregation of geographically distributed resources for solving …
the sharing, selection, and aggregation of geographically distributed resources for solving …
Optorsim: A grid simulator for studying dynamic data replication strategies
WH Bell, DG Cameron, AP Millar… - … Journal of High …, 2003 - journals.sagepub.com
Computational grids process large, computationally intensive problems on small data sets.
In contrast, data grids process large computational problems that in turn require evaluating …
In contrast, data grids process large computational problems that in turn require evaluating …
A min-min max-min selective algorihtm for grid task scheduling
K Etminani, M Naghibzadeh - 2007 3rd IEEE/IFIP International …, 2007 - ieeexplore.ieee.org
Today, the high cost of supercomputers in the one hand and the need for large-scale
computational resources on the other hand, has led to use network of computational …
computational resources on the other hand, has led to use network of computational …
A simulation approach to evaluating design decisions in mapreduce setups
MapReduce has emerged as a model of choice for supporting modern data-intensive
applications. The model is easy-to-use and promising in reducing time-to-solution. It is also …
applications. The model is easy-to-use and promising in reducing time-to-solution. It is also …
Simulation of dynamic grid replication strategies in optorsim
WH Bell, DG Cameron, L Capozza, AP Millar… - Grid Computing—GRID …, 2002 - Springer
Computational Grids normally deal with large computationally intensive problems on small
data sets. In contrast, Data Grids mostly deal with large computational problems that in turn …
data sets. In contrast, Data Grids mostly deal with large computational problems that in turn …
[PDF][PDF] A grid simulation infrastructure supporting advance reservation
A Sulistio, R Buyya - 16th International Conference on Parallel and …, 2004 - buyya.com
Advance Reservation (AR) for global grids becomes an important research area as it allows
users to gain concurrent access for their applications to be executed in parallel, and …
users to gain concurrent access for their applications to be executed in parallel, and …
Using realistic simulation for performance analysis of mapreduce setups
Recently, there has been a huge growth in the amount of data processed by enterprises and
the scientific computing community. Two promising trends ensure that applications will be …
the scientific computing community. Two promising trends ensure that applications will be …
Overview of a performance evaluation system for global computing scheduling algorithms
While there have been several proposals of high-performance global computing systems,
scheduling schemes for the systems have not been well investigated. The reason is …
scheduling schemes for the systems have not been well investigated. The reason is …
A study of deadline scheduling for client-server systems on the computational grid
The Computational Grid is a promising platform for the deployment of various high-
performance computing applications. A number of projects have addressed the idea of …
performance computing applications. A number of projects have addressed the idea of …