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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Verma, D.C. Ferrari, D. |
| Copyright Year | 1992 |
| Description | Author affiliation: Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA (Verma, D.C.; Ferrari, D.) |
| Abstract | In a number of network and database management applications, an upper bound has to be evaluated on the probability that the capacity of a server will be exceeded. The authors refer to this probability as the overflow probability of the server. The problem is, in essence, determining the probability that the sum of N independent random variables exceeds a given threshold. Evaluation of the overflow probability by brute-force enumeration requires a computation time which increases exponentially with N, so attempts have been made to approximate the overflow probability using Chernoff bounds. They present a simple scheme that can be used to evaluate the overflow probability with higher accuracy and lower computational effort than the Chernoff bounds approach. A set of algorithms is presented in C-like pseudocode that can be used to evaluate the overflow probability.< |
| Starting Page | 1212 |
| Ending Page | 1216 |
| File Size | 434898 |
| Page Count | 5 |
| File Format | |
| ISBN | 078030599X |
| DOI | 10.1109/ICC.1992.268048 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-06-14 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Computer networks Databases Bandwidth Asynchronous transfer mode Network servers Switches Computer science Computer network management Upper bound |
| Content Type | Text |
| Resource Type | Article |
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