SNMP,SNMPV2,Snmpv3,and RMON 1 and 2
SNMP,SNMPV2,Snmpv3,and RMON 1 and 2
A taxonomy and survey of grid resource management systems for distributed computing
Software—Practice & Experience
Design and evaluation of a conit-based continuous consistency model for replicated services
ACM Transactions on Computer Systems (TOCS)
Chord: a scalable peer-to-peer lookup protocol for internet applications
IEEE/ACM Transactions on Networking (TON)
IWCC '01 Proceedings of the NATO Advanced Research Workshop on Advanced Environments, Tools, and Applications for Cluster Computing-Revised Papers
ACM Transactions on Computer Systems (TOCS)
Experiences with predicting resource performance on-line in computational grid settings
ACM SIGMETRICS Performance Evaluation Review
Parallel Program Development and Execution in the Grid
PARELEC '02 Proceedings of the International Conference on Parallel Computing in Electrical Engineering
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Grid Programming for Distributed Remote Robot Control
WETICE '04 Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Real-Time Performance Monitoring, Adaptive Control, and Interactive Steering of Computational Grids
International Journal of High Performance Computing Applications
A Kerberos security architecture for web services based instrumentation grids
Future Generation Computer Systems
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Monitoring systems are nowadays ubiquitous in complex environments, such as Grids. Their use is fundamental for performance evaluation, problem spotting, advanced debugging and per-use accounting. Building such systems raises challenging issues, like data gathering from Grid components, low intrusiveness, ease of use, adaptive data visualization, fault-tolerance and self-maintenance. This paper presents a new layered architecture, named Toytle, specifically designed to address these issues in the context of control Grids. All their components, from computing and network resources to complete physical processes with soft time constraints, can be monitored with Toytle. The architecture's layers, namely the distributed core, the hierarchical connections and the local monitors, have been designed to ensure scalability, high-speed sampling and efficient dealing with large data bursts. The future Toytle implementation will adapt existing tools and also create entirely new modules.