Aqua: An Adaptive End-System Quality of Service Architecture

Author(s):  
K. Lakshman ◽  
Raj Yavatkar
2016 ◽  
Vol 1 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Tejal Shah ◽  
Ali Yavari ◽  
Karan Mitra ◽  
Saguna Saguna ◽  
Prem Prakash Jayaraman ◽  
...  

1994 ◽  
Vol 24 (2) ◽  
pp. 6-27 ◽  
Author(s):  
Andrew Campbell ◽  
Geoff Coulson ◽  
David Hutchison

Author(s):  
James H. Hill

System Execution Modeling (SEM) tools enable distributed system testers to validate Quality-of-Service (QoS) properties, such as end-to-end response time, throughput, and scalability, during early phases of the software lifecycle. Analytical capabilities of QoS properties, however, are traditionally bounded by a SEM tool’s capabilities. This chapter discusses how to mine system execution traces, which are a collection of log messages describing events and states of a distributed system throughout its execution lifetime, generated by distributed systems so that the validation of QoS properties is not dependent on a SEM tool’s capabilities. The author uses a real-life case study to illustrate how data mining system execution traces can assist in discovering potential performance bottlenecks using system execution traces.


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