TY - GEN
T1 - Evaluating caching and storage options on the Amazon Web Services cloud
AU - Chiu, David
AU - Agrawal, Gagan
PY - 2010
Y1 - 2010
N2 - With the promise on-demand compute/storage resources, many users are deploying data-intensive scientific applications onto Clouds. To accelerate these applications, the prospect of caching intermediate data using the elastic compute and storage framework has proved promising. To this end, we believe that an in-depth study of cache placement decisions over various Cloud storage options would be highly beneficial to a large class of users. While tangential analyses have been proposed, ours in contrast focuses on cost-performance tradeoffs of maintaining a data cache with various parameters of any Cloud application. We have compared several Amazon Web Service (AWS Cloud) resources as possible cache placements and found that application dependent attributes like unit-data size, total cache size, and persistence, have far reaching implications on the cost of cache sustenance. Moreover, while instance-based caches expectedly yield higher cost, the performance that they afford may outweigh lower cost options.
AB - With the promise on-demand compute/storage resources, many users are deploying data-intensive scientific applications onto Clouds. To accelerate these applications, the prospect of caching intermediate data using the elastic compute and storage framework has proved promising. To this end, we believe that an in-depth study of cache placement decisions over various Cloud storage options would be highly beneficial to a large class of users. While tangential analyses have been proposed, ours in contrast focuses on cost-performance tradeoffs of maintaining a data cache with various parameters of any Cloud application. We have compared several Amazon Web Service (AWS Cloud) resources as possible cache placements and found that application dependent attributes like unit-data size, total cache size, and persistence, have far reaching implications on the cost of cache sustenance. Moreover, while instance-based caches expectedly yield higher cost, the performance that they afford may outweigh lower cost options.
KW - AWS
KW - Caching strategies
KW - Cloud storage
KW - Cost
UR - http://www.scopus.com/inward/record.url?scp=79951611559&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951611559&partnerID=8YFLogxK
U2 - 10.1109/GRID.2010.5697949
DO - 10.1109/GRID.2010.5697949
M3 - Conference contribution
AN - SCOPUS:79951611559
SN - 9781424493487
T3 - Proceedings - IEEE/ACM International Workshop on Grid Computing
SP - 17
EP - 24
BT - Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, Grid 2010
T2 - 2010 11th IEEE/ACM International Conference on Grid Computing, Grid 2010
Y2 - 25 October 2010 through 29 October 2010
ER -