Paper Info
Title
Tombolo: Performance enhancements for cloud storage gateways
Abstract
Object-based cloud storage has been widely adopted for their agility in deploying storage with a very low up-front cost. However, enterprises currently use them to store secondary data and not for expensive primary data. The driving reason is performance; most enterprises conclude that storing primary data in the cloud will not deliver the performance needed to serve typical workloads. Our analysis of real-world traces shows that certain primary data sets can reside in the cloud with its working set cached locally, using a cloud gateway that acts as a caching bridge between local data centers and the cloud. We use a realistic cloud gateway simulator to study the performance and cost of moving such workloads to different cloud backends (like Amazon S3). We find that when equipped with the right techniques, cloud gateways can provide competitive performance and price compared to on-premise storage. We also provide insights on how to build such cloud gateways, especially with respect to caching and prefetching techniques.
Year
DOI
Venue
2016
10.1109/MSST.2016.7897076
2016 32nd Symposium on Mass Storage Systems and Technologies (MSST)
Keywords
Field
DocType
Tombolo,performance enhancements,cloud storage gateways,object-based cloud storage,secondary data,enterprises,real-world traces,caching bridge,local data centers,realistic cloud gateway simulator,cloud backends,on-premise storage,prefetching techniques,caching techniques
Working set,Computer science,Cache,Default gateway,Cloud computing security,Database,Cloud testing,Cloud storage,Single-chip Cloud Computer,Cloud computing,Distributed computing
Conference
ISSN
ISBN
Citations 
2160-195X
978-1-4673-9056-9
0
PageRank 
References 
Authors
0.34
1
8
Name
Order
Citations
PageRank
Suli Yang1222.80
Kiran Srinivasan22299.88
Kishore Udayashankar300.34
Swetha Krishnan4292.09
Jingxin Feng510.69
Yupu Zhang6986.18
Andrea C. Arpaci-Dusseau73133307.84
Remzi H. Arpaci-Dusseau83120383.86