Spectroscope is a new toolset aimed at assisting developers with the long-standing challenge of performance debugging in dis-tributed systems. To do so, it mines end-to-end traces of request processing within and across components. Using Spectroscope, developers can visualize and compare system behaviours between two periods or system versions, identifying and ranking various changes in the flow or timing of request processing. Examples of how Spectroscope has been used to diagnose real performance problems seen in a distributed storage system are presented, and Spectroscope’s primary assumptions and algorithms are evaluated
Computer systems and applications are growing more complex. Consequently, performance analysis has b...
The software execution environment can play a crucial role when analyzing the performance of a softw...
Abstract—To diagnose performance problems in production systems, many OS kernel-level monitoring and...
The causes of performance changes in a distributed system often elude even its developers. This pape...
Diagnosing performance problems in modern datacenters and distributed systems is challenging, as the...
This work describes ongoing work for measuring the performance of an application running on a machin...
Computers perform different applications in different ways. To characterize an application performan...
Large production systems are susceptible to chronic performance problems where the system still work...
This paper discusses a methodology for diagnosing performance problems for parallel and distributed ...
Design and implementation defects that lead to inefficient computation widely exist in software. The...
Cloud datacenters comprise hundreds or thousands of disparate application services, each having stri...
In this book, we introduce an automatic, experiment-based approach for performance problem diagnosti...
Debugging parallel/distributed programs is an iterative process, alternating between correctness deb...
Debugging parallel/distributed programs is an iterative process, alternating between correctness deb...
Performance Analysis is essential to fully exploit the potential of high-performance computers. With...
Computer systems and applications are growing more complex. Consequently, performance analysis has b...
The software execution environment can play a crucial role when analyzing the performance of a softw...
Abstract—To diagnose performance problems in production systems, many OS kernel-level monitoring and...
The causes of performance changes in a distributed system often elude even its developers. This pape...
Diagnosing performance problems in modern datacenters and distributed systems is challenging, as the...
This work describes ongoing work for measuring the performance of an application running on a machin...
Computers perform different applications in different ways. To characterize an application performan...
Large production systems are susceptible to chronic performance problems where the system still work...
This paper discusses a methodology for diagnosing performance problems for parallel and distributed ...
Design and implementation defects that lead to inefficient computation widely exist in software. The...
Cloud datacenters comprise hundreds or thousands of disparate application services, each having stri...
In this book, we introduce an automatic, experiment-based approach for performance problem diagnosti...
Debugging parallel/distributed programs is an iterative process, alternating between correctness deb...
Debugging parallel/distributed programs is an iterative process, alternating between correctness deb...
Performance Analysis is essential to fully exploit the potential of high-performance computers. With...
Computer systems and applications are growing more complex. Consequently, performance analysis has b...
The software execution environment can play a crucial role when analyzing the performance of a softw...
Abstract—To diagnose performance problems in production systems, many OS kernel-level monitoring and...