Open, Closed, and Mixed Networks of Queues with Different Classes of Customers
Journal of the ACM (JACM)
Mean-Value Analysis of Closed Multichain Queuing Networks
Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
The Operational Analysis of Queueing Network Models
ACM Computing Surveys (CSUR)
Computational algorithms for product form queueing networks
Communications of the ACM
Social processes and proofs of theorems and programs
Communications of the ACM
Rejuvenating experimental computer science: a report to the National Science Foundation and others
Communications of the ACM
Computational algorithms for closed queueing networks with exponential servers
Communications of the ACM
Sorting in a paging environment
Communications of the ACM
Dynamic space-sharing in computer systems
Communications of the ACM
An anomaly in space-time characteristics of certain programs running in a paging machine
Communications of the ACM
A note on storage fragmentation and program segmentation
Communications of the ACM
Is automatic “folding” of programs efficient enough to displace manual?
Communications of the ACM
Some Extensions to Multiclass Queueing Network Analysis
Proceedings of the Third International Symposium on Modelling and Performance Evaluation of Computer Systems: Performance of Computer Systems
Analysis of system bottlenecks using a queueing network model
Proceedings of the SIGOPS workshop on System performance evaluation
What you don't see can hurt you: adventures using library-provided data structures
Journal of Computing Sciences in Colleges
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What is experimental computer science? This question has been widely discussed ever since the Feldman Report was published (1979 [18]). Many computer scientists believe that survival of their discipline is intimately linked to their ability to rejuvenate experimentation. The National Science Foundation instituted the Coordinated Experimental Research Program (CERP) in 1979 to help universities set up facilities capable of supporting experimental research. Other agencies of government are considering similar programs. Some industrial firms are offering similar help through modest cash grants and equipment discounts. What is experimental computer science? Surprisingly, computer scientists disagree on the answer. A few believe that computer science is in flux—making a transition from theoretical to experimental science—and, hence, no operational definition is yet available. Some believe that it is all the non-theoretical activities of computer science, especially those conferring “hands-on” experience. Quite a few believe that it is large system development projects—i.e., computer and software engineering—and they cite MIT's Multics, Berkeley's version of Bell Labs' UNIX, the ARPAnet, IBM's database System R, and Xerox's Ethernet-based personal computer network as examples. These beliefs are wrong. There are well-established standards for experimental science. The field of performance evaluation meets these standards and provides examples of experimental science for the rest of the computing field.