Xerox Corporation

Massachusetts Institute of Technology

Anthony C Kam

Philip Andrew Chou

Gary E Kopec

Kai-Yeung S Sui

A method for scheduling transmission of cells through a data switch having a plurality of inputs and outputs provides a plurality of buffers at each input. Each buffer corresponds to an output, or to a virtual circuit. A weight is assigned to each buffer; and buffers are selected according to a maximal weighted matching. Finally, cells are transmitted from the selected buffers to the corresponding outputs. Weights are based on number of credits associated with each buffer. Optionally, the weight is zero if the associated buffer is empty. A credit bucket size may be assigned to each buffer to limit the number of credits when the buffer is empty. Alternatively, weights are set to either buffer length, or to the number of credits, whichever is less. Or, weights may be set to validated waiting times associated with the oldest cells. Each input/output pair is assigned the maximum weight of any associated virtual connection. Fairness is provided in leftover bandwidth by determining a second matching between remaining inputs and outputs. Buffers are selected according to the second matching. In addition, a linked list structure is provided. Each list is associated with a weight, and holds references to buffers which have that weight, and has links to next and previous lists associated respectively with weights one greater and one less than the subject list's associated weight. Each reference is placed in a list associated with the respective weight. Upon changing a buffer's weight, its reference is moved to the list corresponding to the new weight. Previously unselected buffers are selected from the lists in order descending weights.

Method for scheduling transmissions in a buffered switch

An image decoding and recognition system and method comprising a fast heuristic algorithm using hidden Markov models (HMM). The new search algorithm, called an 'iterative complete path' (ICP) algorithm, patterned after well-known branch-and-bound (B&B) methods, significantly reduces the complexity and improves the speed of HMM image decoding without sacrificing the optimality of the straightforward procedure. An advantageous form of the heuristic functions which is useful in applying the ICP algorithm to text-like images is described. The ICP algorithm is directly applicable to the separable type of finite-state source models. Also disclosed is a technique for transforming more general source models into such a separable form.

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Cambridge, MA, United States of America

Anthony C Kam