Swarm Computing
at the University of Virginia

1950s... Programming in the Small
1970s... Programming in the Large
2000s... Programming in the Swarm!

Research Summary

Computing is rapidly moving away from traditional computers. Programs in the future will run on collections of mobile processors that interact with the physical world and communicate over ad hoc networks. We can view such collections as swarms. As with natural swarms, such as a beehive or ant colony, the behavior of a computational swarm emerges from the behaviors of its individual members.

Our research focuses on developing methods for creating, understanding and validating properties of programs that execute on swarms of computing devices. We are striving to create and reason about swarm programs in principled ways. A promising approach is to construct swarm programs by combining primitives. The functional and non-functional behavior of a primitive is described using formal notations. We are investigating techniques based on both experimental and analytical approaches for predicting the functional and non-functional properties of compositions of swarm primitives.

Although the practical applications of swarm computing are in their infancy, there is great potential for useful applications. Successful swarm programming will depend on our ability to reason about swarm programs and construct device programs based on high-level goals. Our research seeks the first steps towards that target.

Cellsim Simulator

In the News

TechNewsWorld, Security: What's Good About Computer Viruses, 5 March 2004. [Archive Copy] [Original Article]

Technology Review, From Artificial Intelligence to Artificial Biology?, November 2003. [Archive Copy] [Original Article]

Recent Papers

Chris Frost. Amorphous Shape Mapping. UVa Fourth-Year Thesis Report. 7 May 2004. [PDF, Web Page]

Lingxuan Hu and David Evans. Using Directional Antennas to Prevent Wormhole Attacks . Network and Distributed System Security Symposium, February 2004. [PDF]

T. Abdelzaher, B. Blum B, Q. Cao, Y. Chen, D. Evans, J. George, S. George, L. Gu, T. He, S. Krishnamurthy, L. Luo, S. Son, J. Stankovic, R. Stoleru and A. Wood. EnviroTrack: Towards an Environmental Computing Paradigm for Distributed Sensor Networks. The 24th International Conference on Distributed Computing Systems. March 2004. (PDF, 8 pages)

Selvin George, David Evans and Steven Marchette. A Biological Programming Model for Self-Healing . First ACM Workshop on Survivable and Self-Regenerative Systems , October 31, 2003. [Abstract] [ PDF, 10 pages]

John Lach, David Evans, Jon McCune, Jason Brandon. Power-Efficient Adaptable Wireless Sensor Networks. Military and Aerospace Programmable Logic Devices (MAPLD) International Conference 2003. September 9-11, 2003. [PDF, 2 page abstract]

Lingxuan Hu and David Evans. Secure Aggregation for Wireless Networks. Workshop on Security and Assurance in Ad hoc Networks. January, 2003. (PDF, PS, 8 pages)

Selvin George, David Evans and Lance Davidson. A Biologically Inspired Programming Model for Self-Healing Systems. Workshop on Self-Healing Systems (WOSS'02). November, 2002. (PDF, PS, 3 pages)

Chenxi Wang, Antonio Carzaniga, David Evans, Alexander L. Wolf. Security Issues and Requirements for Internet-Scale Publish-Subscribe Systems. Hawaii International Conference on System Sciences, January 7-10, 2002. (PDF, 8 pages)


What Biology Can Teach Us About Security [PPT (warning: 35MB)]
Invited talk at Johns Hopkins University Information Security Institute, 14 November 2003.
Biological Programming Models for Intrusion-Tolerant Systems [PPT (warning 18MB)]
Invited presentation at Workshop on Statistical and Maching Learning Techniques in Computer Intrusion Detection, George Mason University (Fairfax, VA), 24 September 2003.
Biological Programming Models for Robustness and Scalability [PPT (warning: 9MB)]
Panel presentation for Dynammic Data-Driven Application Systems (DDAS) Panel at ACM International Conference on Supercomputing, San Francisco, 23 June 2003.
Programming the Way Biology Programs [PPT]
Panel presentation for NSF Advanced Computation Inspired by Biological Processes Conference, Arlington, VA, 7 April 2003.
Secure Aggregation for Wireless Networks (Lingxuan Hu and David Evans) [PPT]
Workshop on Security and Assurance for Ad hoc Wireless Networks, Orlando, 28 January 2003.
Securing Bits with Atoms (and Vices with Verses) [PPT, PDF]
Short talk in "Outrageous Ideas" session at DIMACS Workshop on Software Security, 6-7 January 2003.
A Biologically Inspired Programming Model for Self-Healing Systems (Selvin George, David Evans and Lance Davidson) [PPT, PDF]
Talk by Selvin George at Workshop on Self-Healing Systems (WOSS 02), 18-19 November 2002.


CellSim — Swarm Program Simulator
Authors: Selvin George, David Evans, Qi Wang, Salvatore Guarnieri, Steven Marchette and Zhannan Zhang

Web Page

ShapeSim — Amorphous Shape Mapping simulator by Chris Frost
Code (.tar.gz)


Our research is supported by the National Science Foundation through these grants:

ITR: A Framework for Environment-Aware, Massively Distributed Computing (with Tarek Abdelzaher and David Brogan), November 2001.

CAREER: Programming the Swarm, July 2000. (PDF, PS, NSF Page)



Graduate Students

Undergraduate Students



swarm University of Virginia
Department of Computer Science
Programming the Swarm
David Evans