ACM Home Page
Please provide us with feedback. Feedback
A data tracking scheme for general networks
Full text PdfPdf (299 KB)
Source ACM Symposium on Parallel Algorithms and Architectures archive
Proceedings of the thirteenth annual ACM symposium on Parallel algorithms and architectures table of contents
Crete Island, Greece
Pages: 247 - 254  
Year of Publication: 2001
ISBN:1-58113-409-6
Authors
Rajmohan Rajaraman  College of Computer Science, Northeastern University, Boston, MA
Andreáa W. Richa  Department of Computer Science and Engineering, Arizona, State University, Tempe, AZ
Berthold Vöcking  Max-Planck-Institut für Informatik, Saarbrücken, Germany
Gayathri Vuppuluri  Compaq Corporation, Cupertino, CA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 20,   Citation Count: 4
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/378580.378670
What is a DOI?

ABSTRACT

Consider an arbitrary distributed network in which large numbers of objects are continuously being created, replicated, and destroyed. A basic problem arising in such an environment is that of organizing a data tracking scheme for locating object copies. In this paper, we present a new tracking scheme for locating nearly copies of replicated objects in arbitrary distributed environments.

Our tracking scheme supports efficient accesses to data objects while keeping the local memory overhead low. In particular, our tracking scheme achieves an expected polylog(n)-approximation in the cost of any access operation, for an arbitrary network. The memory overhead incurred by our scheme is &Ogr;(polylog(n)) times the maximum number of objects stored at any node, with high probability. We also show that our tracking scheme adapts well to dynamic changes in the network.


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
2
 
3
 
4
B. Awerbuch, B. Berger, L. Cowen, and D. Peleg. Near-linear cost sequential and distributed constructions. In Proceedings of the Thirty-Fourth Annual Symposium on Foundations of Computer Science, pages 638-647, 1993.
 
5
 
6
B. Awerbuch and D. Peleg. Sparse partitions. In Proceedings of the Thirty-First Annual IEEE Symposium on Foundations of Computer Science, pages 503-513, October 1990.
7
 
8
9
 
10
 
11
 
12
J. L. Carter and M. N. Wegman. Universal Classes of Hash Functions. Journal of Computer and System Sciences, 18:143-154, 1979.
13
 
14
S. Jamin, C. Jin, Y. Jin, D. Raz, Y. Shavitt, and L.Zhang, The placement ofInternet instrumentation, In Proceedings of IEEE INFOCOMM, 2000.
15
 
16
G. Konjevod, R. Ravi, and F. S. Salman. On approximating planar metrics by tree metrics. Submitted for publication in J. Algorithms, July 1997.
17
 
18
 
19
 
20
21
 
22
M. van Steen, F. J. Hauck, and A. S. Tanenbaum. A model for worldwide tracking of distributed objects. In Proceedings of the 1996 Conference on Telecommunications Information Networking Architecture (TINA 96), pages 203-212, September 1996.
 
23
24


Collaborative Colleagues:
Rajmohan Rajaraman: colleagues
Andreáa W. Richa: colleagues
Berthold Vöcking: colleagues
Gayathri Vuppuluri: colleagues