TESS: Automated Performance Evaluation of Self-Healing and Self-Adaptive Distributed Software Systems

被引：3
|
作者：
Porter, Jason [1 ]
Menasce, Daniel A. [1 ]
Gomaa, Hassan [1 ]
Albassam, Emad [1 ]
机构：
[1] Comp Sci Dept, Fairfax, VA 22030 USA
来源：
PROCEEDINGS OF THE 2018 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING (ICPE '18) | 2018年
关键词：
automated experimentation testbed; distributed component-based software systems; experimental design; self-healing software; self-adaptive software; software architecture;
D O I：
10.1145/3184407.3184408
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the problem of evaluating and testing recovery and adaptation frameworks (RAF) for distributed software systems. We present TESS, a testbed for automatically generating distributed software architectures and their corresponding runtime applications, deploying them to the nodes of a cluster, running many different types of experiments involving failures and adaptation, and collecting in a database the values of a variety of failure recovery and adaptation metrics. Using the collected data, TESS automatically performs a thorough and scientific analysis of the efficiency and/or effectiveness of a RAF. This paper presents a case study on the use of TESS to evaluate DARE, a RAF developed by our group.
引用
收藏
页码：40 / 47
页数：8
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