Next steps in the evolution of GridICE: a monitoring tool for grid systems

Andreozzi, Sergio; Aiftimiei, Cristina; Cuscela, G; Pra, Stefano Dal; Donvito, Giacinto; Dudhalkar, V; Fantinel, S.; Fattibene, E.; Mäggi, G.; Misurelli, Giuseppe; Pierro, G. A.

doi:10.1088/1742-6596/119/6/062010

Cited by 4 publications

(7 citation statements)

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“…The existing monitoring infrastructures (as in Enabling Grids for E-sciencE [20] or GoeGrid [18]) are based on consistent user-level testing across resources to improve grid stability (user-level grid monitoring, like Inca [21]) or they collect and aggregate monitoring data from existing tools (a system-level view of grid resources, like GridICE [22]). Both approaches focus on the current status, but not on the quality of the resurces.…”

Section: B Case Study 2: Extending a Traditional Monitoring Framewormentioning

confidence: 99%

Assessment of Resource Quality for Service Level Agreements in Life Science Grids

́n

2011

2011 IEEE Seventh International Conference on E-Science Workshops

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This article focuses on measuring, describing, monitoring and publishing the quality and performance of grid resources. Life science communities can employ Service Level Agreements (SLAs) with their resource providers to ensure the delivery of services. For this, it is important for both the life science communities and their providers to understand and quantify the performance and service quality of different grid environments. However, measuring service quality in grid infrastructures utilizing different middlewares, as in the German Grid Initiative, is a complex problem. We describe the state of quality metrics which are currently used by the German life science communities MediGRID, Services@MediGRID and PneumoGrid. We also identify further quality metrics for defining and monitoring grid resource quality in D-Grid. It is important to publish and exchange the quality information by grid information systems, which are the entry points to grid services. Therefore, we also present how quality information can be handled by the GLUE v2.0 Schema, which is the upcoming standard data model used by grid information systems. For measuring and monitoring the quality metrics in multi-middleware environments two approaches are discussed. The first approach extracts quality information from an external benchmarking system and loads it to the grid information systems. The second solution targets life science communities that do not utilize legacy benchmarking systems, but operate traditional monitoring systems, like Nagios.

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Section: B Case Study 2: Extending a Traditional Monitoring Framewormentioning

confidence: 99%

Assessment of Resource Quality for Service Level Agreements in Life Science Grids

́n

2011

2011 IEEE Seventh International Conference on E-Science Workshops

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“…6 • A framework is developed to simulate heterogeneous information services. 7 • A prototypical implementation of an interoperable information-and monitoring system is developed. 4 • Case studies are made to evaluate the concept.…”

Section: Contributionmentioning

confidence: 99%

“…The Berkeley Database Information Index (BDII) is the current monitoring service of the Lightweight Middleware for Grid Computing (gLite) [7] middleware. It is based on the established monitoring service of older Globus Toolkit versions (MDS2).…”

Section: Bdii: the Information System Of Glitementioning

confidence: 99%

“…Another monitoring approach is to collect and aggregate monitoring data from existing tools and provide a systems-level view of research infrastructure resources. GridICE [7] is such a solution.…”

Section: Related Workmentioning

confidence: 99%

“…We proposed our results to the health and life science communities for uptake 6. Our results were adopted to deploy productional services for the European Persistent Identifier Consortium, as well as for the DARIAH infrastructure 7. We used and enhanced the results of the Instant-Grid project, on which we previously worked together with colleagues.…”

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Interoperable Information Exchange, Resource Discovery, and Service Quality Monitoring Across Virtual Organizations in Distributed Research Infrastructures

Kálmán¹

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Recently, distributed research infrastructures were built up to feed the emerging resource demand of research institutes and enable researchers from various disciplines to access cutting edge technologies. More recently, the different research disciplines began to approach each other in the mutual goal to answer increasingly complex research problems. It has therefore become increasingly important for research infrastructures to interoperate. Exchanging resource descriptions coming from the information and monitoring systems of different research infrastructures is among the most important steps to reach interoperability.The aim of this thesis is to develop and realise a concept of an interoperable information and monitoring system, which can be used transparently with different existing distributed research infrastructures. This concept also extends the scope of existing information services by including resource properties relating to quality of service and organisational items. We focus on the information and monitoring systems, because of their importance for the other components of distributed research infrastructures. Exchanging resource descriptions, discovering resources, and monitoring the quality and availability of computing and storage resources are essential for executing jobs or transferring data in distributed research infrastructures.Based on a requirement analysis of application scenarios we identify the information needed for exchanging resource descriptions and provide a theoretical model which is capable to include that information. We also present a theoretical approach for a schema mediation process. For modeling resource descriptions in distributed research environments many information schemas and data models exist. In addition to the theoretical analysis, we discuss the evaluation of information schemas being utilized in productional environments. Based on these results, a concept of an automated resource exchange process and a respective generic monitoring architecture supporting it are provided.In addition to our theoretical analysis, concept, and models, a proof of concept for distributed research infrastructures has been developed. We also design and develop a simulation framework for service-oriented, multi-middleware environments that is based on automated system deployment and service provisioning. The evaluation is done by artificial simulation experiments in the simulation framework and in real system scenarios, which demonstrate the applicability of our concept. Instant-Grid, MediGrid, DARIAH and ePIC.Moreover, I want to thank my current and prior colleagues at the GWDG for the nice work atmosphere, as well as my friends and fellow doctoral students for their moral support, which made my day-to-day work balanced and varied. I would like to give special thanks to the two proof-readers of this work.Last, but not least, I want to thank my family for their patience and endless support.

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Site Sonar-A Flexible and Extensible Infrastructure Monitoring Tool for ALICE Computing Grid

Wijethunga,

Storetvedt,

Grigoras

et al. 2024

EPJ Web of Conf.

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The ALICE experiment at the CERN Large Hadron Collider relies on a massive, distributed Computing Grid for its data processing. The ALICE Computing Grid is built by combining a large number of individual computing sites distributed globally. These Grid sites are maintained by different institutions across the world and contribute thousands of worker nodes possessing different capabilities and configurations. Developing software for Grid operations that works on all nodes while harnessing the maximum capabilities offered by any given Grid site is challenging without advance knowledge of what capabilities each site offers. Site Sonar is an architecture-independent Grid infrastructure monitoring framework developed by the ALICE Grid team to monitor the infrastructure capabilities and configurations of worker nodes at sites across the ALICE Grid without the need to contact local site administrators. Site Sonar is a highly flexible and extensible framework that offers infrastructure metric collection without local agent installations at Grid sites. This paper introduces the Site Sonar Grid infrastructure monitoring framework and reports significant findings acquired about the ALICE Computing Grid using Site Sonar.

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Next steps in the evolution of GridICE: a monitoring tool for grid systems

Cited by 4 publications

References 1 publication

Assessment of Resource Quality for Service Level Agreements in Life Science Grids

Assessment of Resource Quality for Service Level Agreements in Life Science Grids

Interoperable Information Exchange, Resource Discovery, and Service Quality Monitoring Across Virtual Organizations in Distributed Research Infrastructures

Site Sonar-A Flexible and Extensible Infrastructure Monitoring Tool for ALICE Computing Grid

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