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PROJECTS

AFFILIATED FACULTY

AFFILIATED LABORATORIES

AFFILIATED CENTERS

EXTERNAL SUPPORT

  • Electric Power Research Institute (EPRI)
  • ARO
  • AFOSR
  • DARPA
  • NSF
  • AFRL
  • HP
  • Nokia Corporation
  • Alcoa Research Center
  • Foresight, Nu Thena Systems Inc.

AFFILIATIONS

  • MIT Laboratory for Information and Decision Systems (LIDS)
  • Coordinated Science Laboratory, University of Illinois, Urbana-Champaig
  • Networking Research Laboratory, Purdue University
  • Sycamore Networks, Inc.
  • Draper Laboratory
  • Foresight, Nu Thena Systems Inc.
  • Genuity Corporation
  • Tellabs Operations Inc.
  • Los Alamos National Laboratory
  • Nokia Research Center
  • HP

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MANAGEMENT of COMMUNICATION NETWORKS and INFORMATION SYSTEMS PROJECTS

Performance analysis, design, control, simulation, and security of broadband communication networks and systems

  • Developing performance analysis results to characterize Quality of Service (QoS) seen by various applications. QoS metrics consist of (tail) packet loss or large delay probabilities.

  • Devising relatively simple control mechanisms at the core of the network, while limiting more sophisticated policing and (measurement-based) control at the edges of the network. Since access at all desired measurement points is likely to prove elusive, both edge measurements and active (in-band and out-of-band) probing are employed to collect necessary information. QoS provisioning strategies that are being developed include both admission control operating at relatively long time-scales and flow or congestion control operating at shorter time-scales.

  • Dealing with the presence of estimation errors in measurements which are severely amplified by the fact that performance metrics are highly nonlinear functions of the estimated parameters.

  • Developing general and efficient simulation approaches, including quick simulation in networks.

  • Addressing security concerns in the Internet by developing mechanisms for intrusion detection and for identifying and responding to distributed Denial of Service attacks.

Pricing and efficient resource allocation in multi-service communication networks

  • Pricing and efficient resource allocation in multi-service communication networks

  • Estimating from measurements the amount of network resources consumed by various services, which can be instrumental in pricing and other resource allocation mechanisms.

  • Optimizing the operation web of servers, i.e., implementing sophisticated scheduling and routing of "task" in clusters of servers.

  • Making "strategic" service provisioning decisions, which are affected by competition and consumer choice and include capacity planning, buying or selling in "bandwidth markets," and deciding the optimal menu of offered services.

Optimal design of all-optical communication networks

  • Traffic routing and grooming
  • Wavelength assignment
  • Light-path selection
  • Optical amplifier placement
  • Ring vs. mesh circuit protection and diverse routing reliability analysis

Networked Control Systems (NCS)

  • Exploiting source coding techniques to represent the feedback information in control systems.

  • Providing QoS in communication networks that are tailored to NCS applications.

  • Using pricing signals to coordinate the interaction between the network and the interconnected devices in order to achieve an efficient allocation of the network resources.

  • Optimizing the operation of ad-hoc wireless networks that are bound to be heavily relied upon in localized NCS.

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