;last-generation" technologies. We define and analyze a transport layer flow control algorithm featuring hybrid open-loop/feedback-based rate control with burst detection for a connection-oriented transport layer protocol. TARC can be used alone or in conjunction with a window flow control mechanism. It can provide support

In this paper we discuss a novel formulation for the optimal control of discrete{event dynamic processes representing manufacturing systems characterized by unreliable machines, nite buers and time{varying predictable demands. We approximatively represent the dynamics of the system with a hybrid

this paper, we discuss such last-line-of-defense 0018--9219/99$10.00 1999 IEEE PROCEEDINGS OF THE IEEE, VOL. 87, NO. 10, OCTOBER 1999 1707 techniques that can be used to make low bit-rate video coders error resilient. We concentrate on techniques that use acknowledgment information provided by a

distributed random scheme where each traffic source varies its sending rate randomly, based on binary feedback information from the network. We show how to select the source behaviour so as to achieve an equilibrium distribution concentrated around the considered fair rate allocations. This stochastic

pronounced change in scaling behavior around a specific time scale, and (iii) sets the stage for the emergence of surprisingly rich scaling dynamics over small time scales; i.e., multifractal scaling. Moreover, our scaling analyses indicate whether or not open-loop controls such as UDP or closed-loop

integrates congestion management across all applications and transport protocols. The CM maintains congestion parameters and exposes an API to enable applications to learn about network characteristics, pass information to the CM, and schedule data transmissions. Internally, it uses a stable rate-based

Abstract — Scheduling in 802.11e networks is managed by the Hybrid Coordination Function (HCF), located within the access point. HCF has access both to traffic descriptions (TSPEC) and to feedback information sent in every frame by stations. In this paper we discuss the use of open-loop or closed-loop

network control policies. Quantitative performance measures that capture the quality of service requirements in these systems depending on the supported applications are discussed, including throughput maximization, energy consumption minimization, rate utility function maximization as well as general

In this paper we propose changing the decades-old practice of allocating CPU to threads based on priority to a scheme based on proportion and period. Our scheme allocates to each thread a percentage of CPU cycles over a period of time, and uses a feedback-based adaptive scheduler to assign

provides a reactive system that performs significant deduction in the sense/response loop by drawing on our past experience at building fast propositional conflict-based algorithms for model-based diagnosis, and by framing a model-based configuration manager as a propositional feedback controller