An instrumentation and control-based approach for distributed application management and adaptation

Authors:
D. Reilly;A. Taleb-Bendiab;A. Laws;N. Badr
Affiliations:
Liverpool John Moores University;Liverpool John Moores University;Liverpool John Moores University;Liverpool John Moores University
Venue:
WOSS '02 Proceedings of the first workshop on Self-healing systems
Year:
2002

Citing 5
Cited 3

Object-oriented software construction (2nd ed.)

Object-oriented software construction (2nd ed.)
Control Theory-Based Foundations of Self-Controlling Software

IEEE Intelligent Systems
Using Architectural Style as a Basis for System Self-repair

WICSA 3 Proceedings of the IFIP 17th World Computer Congress - TC2 Stream / 3rd IEEE/IFIP Conference on Software Architecture: System Design, Development and Maintenance
A Service-Based Architecture for In-Vehicle Telematics Systems

ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Dynamic instrumentation for Jini applications

SEM'02 Proceedings of the 3rd international conference on Software engineering and middleware

Fault Monitoring and Detection of Distributed Services over Local and Wide Area Networks

ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 2
Performance evaluation for self-healing distributed services and fault detection mechanisms

Journal of Computer and System Sciences - Special issue: Performance modelling and evaluation of computer systems
High-level open evolvable systems design by process-oriented modeling: application to DNA replication mechanism

ACM SIGSOFT Software Engineering Notes

Quantified Score

Hi-index	0.00

Visualization

Abstract

Distributed applications are notoriously difficult to develop and manage due to their inherent dynamics and heterogeneity of component technologies and network protocols. Middleware technologies dramatically simplify the development of distributed applications, but they still prove difficult to manage at runtime. This paper considers the "on-going" development of a framework that provides instrumentation and control services, which extend core middleware services, to realize the runtime management and adaptation of distributed applications. The instrumentation and control services are used in conjunction with dependency management utilities to measure performance, monitor behaviour and resolve the runtime inconsistencies and conflicts that may occur in distributed applications.