Performance Engineering Education: A Viewpoint

被引:0
作者
Trivedi, Kishor [1 ]
机构
[1] Duke Univ, ECE Dept, Durham, NC 27710 USA
来源
ICPE'17: COMPANION OF THE 2017 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING | 2017年
关键词
Any terms; the speaker; feels related to talk; separated by semi-colons;
D O I
10.1145/3053600.3055538
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The successful development and marketing of commercial computer/communication systems requires the ability to quantify their performance and related metrics. Specifically, one should be able to demonstrate that projected customer requirements (QoS, QoE) are met, to identify bottlenecks, to evaluate and compare different configurations, and to evaluate and compare different designs. Performance engineering education should then train students to be able to carry out the above tasks. Exposure to three broad categories of approaches is necessary: Measurements aided by statistical techniques, analytic modeling and simulation. Both the theory underlying these approaches and software packages that aid such analyses should be exposed. Besides failure-free performance, attention should also be devoted to reliability, availability, performability and survivability. In the current context, power consumption and security have gained importance as well. In this talk, we will take a journey through these issues.
引用
收藏
页码:179 / 179
页数:1
相关论文
共 4 条
  • [1] [Anonymous], 1998, QUEUING NETWORKS MAR
  • [2] [Anonymous], 1996, PERFORMANCE RELIABIL
  • [3] [Anonymous], 2017, RELIABILITY AVAILABI
  • [4] [Anonymous], 2001, PROBABILITY STAT REL