Title :
Cache Policies for Cloud-Based Systems: To Keep or Not to Keep
Author :
Le Scouarnec, N. ; Neumann, C. ; Straub, G.
fDate :
June 27 2014-July 2 2014
Abstract :
In this paper, we study cache policies for cloud-based caching. Cloud-based caching uses cloud storage services such as Amazon S3 as a cache for data items that would have been recomputed otherwise. Cloud-based caching departs from classical caching: cloud resources are potentially infinite and only paid when used, while classical caching relies on a fixed storage capacity and its main monetary cost comes from the initial investment. To deal with this new context, we design and evaluate a new caching policy that minimizes the cost of a cloud-based system. The policy takes into account the frequency of consumption of an item and the cloud cost model. We show that this policy is easier to operate, that it scales with the demand and that it outperforms classical policies managing a fixed capacity.
Keywords :
cloud computing; software cost estimation; software management; cache policies; cloud cost model; cloud storage services; cloud-based caching; Analytical models; Cloud computing; Computational modeling; Motion pictures; Streaming media; Video sequences; YouTube; cache policy; cloud; cost minimization; elasticity;
Conference_Titel :
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5062-1
DOI :
10.1109/CLOUD.2014.11