The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
The art of computer programming, volume 1 (3rd ed.): fundamental algorithms
httperf—a tool for measuring web server performance
ACM SIGMETRICS Performance Evaluation Review
What Netscape learned from cross-platform software development
Communications of the ACM
A network performance tool for grid environments
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
A scalable cross-platform infrastructure for application performance tuning using hardware counters
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Integration and applications of the TAU performance system in parallel Java environments
Proceedings of the 2001 joint ACM-ISCOPE conference on Java Grande
Pentium 4 Performance-Monitoring Features
IEEE Micro
ACM Transactions on Computer Systems (TOCS)
Dynamic Monitoring of High-Performance Distributed Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Performance debugging for distributed systems of black boxes
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
PlanetLab: an overlay testbed for broad-coverage services
ACM SIGCOMM Computer Communication Review
Towards a framework for source code instrumentation measurement validation
Proceedings of the 5th international workshop on Software and performance
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
CoMon: a mostly-scalable monitoring system for PlanetLab
ACM SIGOPS Operating Systems Review
The Tau Parallel Performance System
International Journal of High Performance Computing Applications
| Hi-index | 0.00 |
Accurate performance testing of heterogeneous distributed systems, such as those created using GRID technology, requires a consistent method for retrieving system performance data from multiple platforms. This paper presents CAMP1: a low-level platform independent performance data API designed for use with distributed testing frameworks. CAMP is not necessarily tied to the distributed testing task: it provides a simple, low-level interface into operating system performance data that can be used to build complex performance measurement applications. This paper discusses CAMP's functionality and implementation in detail. It also contains a detailed analysis of the API's correctness, performance, and overhead.