Specifying and Monitoring Guarantees in Commercial Grids through SLA
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Distributed Event-Based Systems
Distributed Event-Based Systems
Towards a Framework for Monitoring and Analyzing QoS Metrics of Grid Services
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
SCALEA-G: A unified monitoring and performance analysis system for the grid
Scientific Programming - AxGrids 2004
Managing service level agreement contracts in OGSA-based Grids
Future Generation Computer Systems
Efficient online monitoring of web-service SLAs
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering
Real-time reconfiguration for guaranteeing QoS provisioning levels in Grid environments
Future Generation Computer Systems
A Streaming Intrusion Detection System for Grid Computing Environments
HPCC '09 Proceedings of the 2009 11th IEEE International Conference on High Performance Computing and Communications
Comprehensive QoS monitoring of Web services and event-based SLA violation detection
Proceedings of the 4th International Workshop on Middleware for Service Oriented Computing
Steering and visualization: Enabling technologies for computational science
Future Generation Computer Systems
Perspectives on grid computing
Future Generation Computer Systems
Processing moldable tasks on the grid: Late job binding with lightweight user-level overlay
Future Generation Computer Systems
Real-time Grid monitoring based on complex event processing
Future Generation Computer Systems
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
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Monitoring of Service Level Agreements is a crucial phase of SLA management. In the most challenging case, monitoring of SLA fulfillment is required in (near) real-time and needs to combine performance data regarding multiple distributed services and resources. Currently existing Grid monitoring and information services do not provide adequate on-line monitoring capabilities to fulfill this case. We present an application of Complex Event Processing principles and technologies for on-line SLA monitoring in the Grid. The capabilities of the presented SLA monitoring framework include (1) on-demand definition of SLA metrics using a high-level query language; (2) real-time calculation of the defined SLA metrics; (3) advanced query capabilities which allow for defining high-level complex metrics derived from basic metrics. SLA monitoring of data-intensive grid jobs serves as a case study to demonstrate the capabilities of the approach.