Restart Strategies and Internet Congestion
Abstract
We recently presented a methodology for quantitatively reducing the risk and cost of executing electronic transactions in a bursty network environment such as the Internet. In the language of portfolio theory, time to complete a transaction and its variance replace the expected return and risk associated with a security, whereas restart times replace combinations of securities. While such a strategy works well with single users, the question remains as to its usefulness when used by many. By using mean field arguments and agent-based simulations, we determine that a restart strategy remains advantageous even if everybody uses it.
- Publication:
-
arXiv e-prints
- Pub Date:
- May 1999
- DOI:
- 10.48550/arXiv.chao-dyn/9905036
- arXiv:
- arXiv:chao-dyn/9905036
- Bibcode:
- 1999chao.dyn..5036M
- Keywords:
-
- Chaotic Dynamics;
- Adaptation;
- Noise;
- and Self-Organizing Systems;
- Computer Science - Networking and Internet Architecture;
- Nonlinear Sciences - Adaptation and Self-Organizing Systems;
- Nonlinear Sciences - Chaotic Dynamics
- E-Print:
- 15 pages, 8 figures