ACM Home Page
Please provide us with feedback. Feedback
IDEA:: an infrastructure for detection-based adaptive consistency control in replicated services
Full text PdfPdf (271 KB)
Source
High Performance Distributed Computing archive
Proceedings of the 16th international symposium on High performance distributed computing table of contents
Monterey, California, USA
POSTER SESSION: Posters table of contents
Pages: 223 - 224  
Year of Publication: 2007
ISBN:978-1-59593-673-8
Authors
Yijun Lu  University of Nebraska-Lincoln
Ying Lu  University of Nebraska-Lincoln
Hong Jiang  University of Nebraska-Lincoln
Sponsors
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 15,   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/10.1145/1272366.1272401
What is a DOI?

ABSTRACT

In Internet-scale distributed and replicated services, poor consistency results in poor QoS or even monetary loss. Recent research focuses on enforcing a certain consistency level, instead of perfect consistency, to strike a balance between consistency guarantee and system's scalability. In this paper, we argue that it is equally, if not more, important to achieve adaptability. I.e., the system adjusts its consistency level on the fly to suit applications. ongoing need. This paper presents IDEA (an Infrastructure for DEtection-based Adaptive consistency control), a protocol that adaptively controls consistency in replicated services by detecting inconsistency among nodes in a timely manner via an inconsistency detection framework and resolving the detected inconsistencies efficiently when necessary. Through experimentation on Planet-Lab, IDEA is evaluated from two aspects: its adaptive interface and its performance of inconsistency resolution. Results show that IDEA achieves adaptability by adjusting the consistency level according to users. preference on-demand, and it achieves low inconsistency resolution delay and incurs minimal communication cost.


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
Lu, Y., and Jiang, H. A framework for efficient inconsistency detection in a grid and Internet-scale distributed environment, In Proc. of HPDC-14. Research Triangle Park, NC, July 2005, pp. 318--319.
 
2
 
3
Lu, Y., Lu, Y., and Jiang, H. IDEA: An infrastructure for detection-based adaptive consistency control in replicated services, Technical Report TR-UNL-CSE-2007-0001, University of Nebraska-Lincoln, Jan. 2007.