Performance analysis of Java as a streaming digital media platform
| dc.contributor.author | Norris, Robert Christopher | en_US |
| dc.date.accessioned | 2024-08-15T16:35:20Z | |
| dc.date.available | 2024-08-15T16:35:20Z | |
| dc.date.copyright | 2002 | en_US |
| dc.date.issued | 2002 | |
| dc.degree.department | Department of Computer Science | |
| dc.degree.level | Master of Science M.Sc. | en |
| dc.description.abstract | The IEEE 1394 high-speed serial bus provides time and bandwidth guarantees suitable for real-time streaming media applications. The Java platform is a language and runtime environment for heterogeneous, network-centric computing. The Java platform's streaming media performance for the relatively new IEEE 1394 bus and the de facto standard IEEE 02.3 network is considered. The identified performance criteria metrics are inter-frame delay, transmit lag, and change in burstiness. Two types of buffers are evaluated: fixed size in space and fixed size in time. The key finding of this research for both buffer types is that even the most performance oriented application development cannot overcome improper choices of application frame size and protocol buffer size. The experimental runtime environment uses modern commodity PC computers and the G U /Linux operating system. The current , at the time of this thesis, Java 2 Standard Edition SDK is used as the Java platform. Raw performance data is collected from a client server software framework designed and built for this r search. This thesis also required the construction of a Java bridge to the IEEE 1394 bus. The statistical analysis phase of this thesis employs several statistical techniques to examine the correlation structure and descriptive statistics of raw performance data. Analysis of variance and linear regression statistical techniques determine individual contributions of repeated runs of experiment blocks. Two Hurst parameter estimation techniques, the variance-time statistic and the rescaled adjusted range statistic, examine the self-similar correlation structure of movie related time series. | |
| dc.format.extent | 160 pages | |
| dc.identifier.uri | https://hdl.handle.net/1828/19149 | |
| dc.rights | Available to the World Wide Web | en_US |
| dc.title | Performance analysis of Java as a streaming digital media platform | en_US |
| dc.type | Thesis | en_US |
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