Bibliography

1

A. AuYoung, B. Chun, A. Snoeren, and A. Vahdat.
Resource allocation in federated distributed computing infrastructures.
In OASIS '04, 2004.

2

H. Balakrishnan, M. Stemm, S. Seshan, and R. H. Katz.
Analyzing stability in wide-area network performance.
In SIGMETRICS, 1997.

3

A. Bavier, L. Peterson, M. Wawrzoniak, S. Karlin, T. Spalink, T. Roscoe, D. Culler, B. Chun, and M. Bowman.
Operating systems support for planetary-scale network services.
In NSDI, 2004.

4

Distributed computing: We come in peace.
Red Herring Magazine http://www.redherring.com/article.aspx?a=10821.

5

P. Brett.
Iperf.
http://www.planet-lab.org/logs/iperf/.

6

Y. Chen, D. Bindel, H. Song, and R. H. Katz.
An algebraic approach to practical and scalable overlay network monitoring.
In SIGCOMM, 2004.

7

J. A. Crowcroft, S. M. Hand, T. L. Harris, A. J. Herbert, M. A. Parker, and I. A. Pratt.
Futuregrid: A program for long-term research into grid systems architecture.
In Proceedings of the UK e-Science All Hands Meeting, September 2003.

8

I. Foster et al.
The grid2003 production grid: Principles and practice.
In HPDC-13, 2004.

9

National Science Foundation.
The GENI Initiative.
http://www.nsf.gov/cise/geni/.

10

M. J. Freedman, E. Freudenthal, and D. Mazières.
Democratizing content publication with coral.
In NSDI, 2004.

11

Y. Fu, J. Chase, B. Chun, S. Schwab, and A. Vahdat.
Sharp: An architecture for secure resource peering.
In SOSP '03, 2003.

12

M. Harchol-Balter and A. B. Downey.
Exploiting process lifetime distributions for dynamic load balancing.
TOCS, 15(3), 1997.

13

J. Liang, S. Y. Ko, I. Gupta, and K. Nahrstedt.
Mon: On-demand overlays for distributed system management.
In WORLDS, 2005.

14

M. Massie, B. Chun, and D. Culler.
The ganglia distributed monitoring system: design, implementation, and experience.
Parallel Computing, 30(7), 2004.

15

D. Oppenheimer, J. Albrecht, D. Patterson, and A. Vahdat.
Design and implementation tradeoffs for wide-area resource discovery.
In HPDC, 2005.

16

J. Padhye, V. Firoiu, D. Towsley, and J. Kurose.
Modeling tcp throughput: A simple model and its empirical validation.
In SIGCOMM, 1998.

17

V. S. Pai.
http://codeen.cs.princeton.edu/cotop/.

18

V. S. Pai.
http://comon.cs.princeton.edu/.

19

S. Rhea, B.-G. Chun, J. Kubiatowicz, and S. Shenker.
Fixing the embarrassing slowness of opendht on planetlab.
In WORLDS '05, 2005.

20

S. Rhea, B. Godfrey, B. Karp, J. Kubiatowicz, S. Ratnasamy, S. Shenker, I. Stoica, and H. Yu.
Opendht: A public dht service and its uses.
In SIGCOMM, 2005.

21

M. Ripeanu, M. Bowman, J. Chase, I. Foster, and M. Milenkovic.
Globus and planetlab resource management solutions compared.
In HPDC-13, 2004.

22

David Spence and Tim Harris.
Xenosearch: Distributed resource discovery in the xenoserver open platform.
In Proceedings of HPDC, 2003.

23

N. Spring, L. Peterson, A. Bavier, and V. S. Pai.
Using planetlab for network research: Myths, realities, and best practices.
ACM SIGOPS Operating Systems Review, 40(1), 2006.

24

J. Stribling.
All-pairs pings for planetlab.
http://www.pdos.lcs.mit.edu/~strib/pl_app/.

25

S. Vazhkudai, J. Schopf, and I. Foster.
Predicting the performance of wide area data transfers.
In IPDPS, 2002.

26

L. Wang, K. Park, R. Pang, V. S. Pai, and L. Peterson.
Reliability and security in the codeen content distribution network.
In Usenix Annual Technical Conference, 2004.

27

M. Wawrzoniak, L. Peterson, and T. Roscoe.
Sophia: An information plane for networked systems.
In HotNets II, 2003.

28

K. Webb, M. Hibler, R. Ricci, A. Clements, and J. Lepreau.
Implementing the emulab-planetlab portal: Experience and lessons learned.
In WORLDS '04, 2004.

29

R. Wolski.
Dynamically forecasting network performance using the network weather service.
Cluster Computing, 1(1), 1998.

30

P. Yalagandula, S. Nath, H. Yu, P. B. Gibbons, and S. Seshan.
Beyond availability: Towards a deeper understanding of machine failure characteristics in large distributed systems.
In WORLDS, 2004.

31

L. Yang, I. Foster, and J. M. Schopf.
Homeostatic and tendency-based cpu load predictions.
In IPDPS, 2003.

32

L. Yang, J.M. Schopf, and I. Foster.
Conservative scheduling: Using predicted variance to improve scheduling decisions in dynamic environments.
In Supercomputing 2003, 2003.

33

X. Zhang and J. Schopf.
Performance analysis of the globus toolkit monitoring and discovery service, mds2.
In Proceedings of the International Workshop on Middleware Performance (MP 2004), April 2004.

34

Y. Zhang, V. Paxson, and S. Shenker.
The stationarity of internet path proprerties: routing, loss, and throughput.
Technical report, ACIRI, May 2000.