LDAP: programming directory-enabled applications with lightweight directory access protocol
LDAP: programming directory-enabled applications with lightweight directory access protocol
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
A Directory Service for Configuring High-Performance Distributed Computations
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
An Evaluation of Alternative Designs for a Grid Information Service
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
A Performance Study of Monitoring and Information Services for Distributed Systems
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Scalability analysis of three monitoring and information systems: MDS2, R-GMA, and Hawkeye
Journal of Parallel and Distributed Computing
AssessGrid Strategies for Provider Ranking Mechanisms in Risk---Aware Grid Systems
GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
A Self-adaptive hierarchical monitoring mechanism for Clouds
Journal of Systems and Software
| Hi-index | 0.00 |
Resource discovery and monitoring in a distributed Gridenvironment gives rise to several issues, one of which is theprovision of reliable performance and hence, the quality-of-servicedelivered to Grid users. This performance requirementbrings about the necessity to know how the Monitoringand Discovery Service (MDS) would respond to variousqueries. This paper focuses on the performance ofthe MDS as part of the knowledge needed by a Grid entity,to choose a Grid Index Information Service (GIIS) fordiscovering resources. Several performance metrics are definedand the performance achieved by a GIIS is evaluatedagainst that obtained by a GRIS [15]. Based on the GIISperformance data collected, the values for the performancemetrics are predicted using different algorithms. Thus, pastperformance observations can be used to qualitatively characterisethe future performance of the GIIS, allowing Gridmiddleware built on these services to be more predictable.