Load Balancing White Papers
Evaluation of Load Balancing Strategies
Overview The distributed memory parallel processing technology encourages researchers to attack computationally intensive problems using inexpensive network of workstations. But unfortunately, distributed applications often face the problem of load imbalance in a heterogeneous environment. So, many algorithms / techniques were proposed to manage / balance imbalanced load. And these algorithms differ from each other on the basis of certain controlling parameters. This paper have studied behaviors of a few such algorithms, i.e. fixed granularity, variable granularity (guided self scheduling) and global centralized task migration algorithms.
| Publisher | COMSATS Institute of Information Technology | File Format | |
|---|---|---|---|
| Date Published | December 2002 | ||
| Format | White Papers | ||
| Topics | |||
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