Predictive caching in computer grids

Rappos, Efstratios (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Robert, Stephan (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland)

We present a model for predictive caching where a shared cache is used to improve performance across a grid. Unlike local caching mechanisms, shared, grid or cloud-based caches incur high costs or latency associated with the additional data transfer. Our proposed caching model, which is dynamically optimized and constantly updated over time, determines the optimal allocation of objects into the shared cache, in such a way that the total cost or latency is minimized. This is achieved by including in the caching algorithm design measures of grid latency, data retrieval costs and a predictive component based on the probability of cached objects being requested in the near future.


Keywords:
Conference Type:
short paper
Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
IICT - Institut des Technologies de l'Information et de la Communication
Publisher:
Delft, Netherlands, 13-16 May 2013
Date:
2013-05
Delft, Netherlands
13-16 May 2013
Pagination:
2 p.
Published in:
Proceedings of 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 13-16 May 2013, Delft, Netherlands
DOI:
ISBN:
978-0-7695-4996-5
Appears in Collection:



 Record created 2020-03-31, last modified 2020-10-27

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