ACM Home Page
Please provide us with feedback. Feedback
Workload decomposition for QoS in hosted storage services
Full text PdfPdf (485 KB)
Source Middleware Conference archive
Proceedings of the 3rd workshop on Middleware for service oriented computing table of contents
Leuven, Belgium
Pages 19-24  
Year of Publication: 2008
ISBN:978-1-60558-368-6
Authors
Lanyue Lu  Rice University, Houston
Kshitij Doshi  Intel
Peter Varman  Rice University, Houston
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 48,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1462802.1462806
What is a DOI?

ABSTRACT

The growing popularity of hosted storage services and shared storage infrastructure in data centers is driving the recent interest in performance isolation and QoS in storage systems. Due to the bursty nature of storage workloads, meeting the traditional response-time Service Level Agreements requires significant over provisioning of the server capacity. We present a graduated, distribution-based QoS specification for storage servers that provides cost benefits over traditional QoS models. Our method RTT partitions the workload to minimize the capacity required to meet response time requirements of any specified fraction of the requests.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Amazon simple storage service (amazon s3). http://www.amazon.com/gp/browse.html?node=16427261.
 
2
T. Dumitras and P. Narasimhan. Fault-tolerant middleware and the magical 1%. In Proc. 6th International Middleware Conference, 2005.
 
3
 
4
5
6
 
7
 
8
Mac mobile me. http://www.apple.com/mobileme/features/idisk.html.
 
9
Public software (storage systems department at hp labs), 2007. http://tesla.hpl.hp.com/publicsoftware/.
 
10
 
11
A. Sheth and et al. Qos for service-oriented middleware. In Proc. Conf. Systemics, Cybernetics and Informatics, July 2002.
 
12
Storage performance council (umass trace repository), 2007. http://traces.cs.umass.edu/index.php/Storage.
13
 
14
Windows live sky drive. http://skydrive.live.com/.

Collaborative Colleagues:
Lanyue Lu: colleagues
Kshitij Doshi: colleagues
Peter Varman: colleagues