The Computer Input/Output Subsystem Education in an undergraduate introductory course: a Multiperspective Study

240 p.

A slide scanner input for paramatrix,

"Supported in part by the Office of Naval Research. Contract no.N00014-67-A-0305-0007."

Supplement to CAMAC (computer automated measurement and control) standards and reports /

Issued Mar. 1978.

Graphical remote-access simulation system (GRASS), the communication and monitor components (GASP/GLASP).

"Supported in part by contract U.S. AEC AT(11-1)1469."

DEC PDP-8 interface to IBM 2701 PDA

"C00-1469-0153."

A failure tolerant filing system,

"COO-1469-0200."

RASER: random to serial converter.

"COO 1469-0209."

DEC PDP-7 Interface to IBM 2701-PDA,

"C00-1469-0116"

The pattern articulation unit of Illiac III: simulation,

"COO-1018-1154."

Semantrix : a semantically guided digital electronic machine /

Thesis (M. S.)--University of Illinois at Urbana-Champaign.

Memory-processor connection networks.

Vita.

Research in computerized structural analysis and synthesis : research-in-progress papers presented at a symposium /

Incldues bibliographical references

IAS/RSX-11 I/O operations reference manual.

Includes index.

Fortran input/output conversion : Hydrologic Engineering Center computer program 72-J2-L208.

At head of cover title: Generalized computer program.

A ∑GIi/D/1/∞ queue with heterogeneous input/output slot times

In this paper, we present a ∑GIi/D/1/∞ queue with heterogeneous input/output slot times. This queueing model can be regarded as an extension of the ordinary GI/D/1/∞ model. For this ∑GIi/D/1/∞ queue, we assume that several input streams arrive at the system according to different slot times. In other words, there are different slot times for different input/output processes in the queueing model. The queueing model can therefore be used for an ATM multiplexer with heterogeneous input/output link capacities. Several cases of the queueing model are discussed to reflect different relationships among the input/output link capacities of an ATM multiplexer. In the queueing analysis, two approaches: the Markov model and the probability generating function technique, are adopted to develop the queue length distributions observed at different epochs. This model is particularly useful in the performance analysis of ATM multiplexers with heterogeneous input/output link capacities.