An Interoperable Grid Information System for Integrated Resource Monitoring Based on Virtual Organizations

Baur, Timo; Breu, Rebecca; Kálmán, Tibor; Lindinger, Tobias; Milbert, Anne; Poghosyan, Gevorg; Reiser, Helmut; Romberg, Mathilde

doi:10.1007/s10723-009-9134-3

Cited by 13 publications

(19 citation statements)

References 17 publications

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“…Another solution is presented by Baur et al in [4]. In their approach, they present an integrated monitoring solution for heterogeneous Grid infrastructures, which aggregates and provides the monitoring data from different Grids.…”

Section: Evaluation Of Cloud Performancementioning

confidence: 99%

Enhancing Federated Cloud Management with an Integrated Service Monitoring Approach

et al. 2013

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Cloud Computing enables the construction and the provisioning of virtualized service-based applications in a simple and cost effective outsourcing to dynamic service environments. Cloud Federations envisage a distributed, heterogeneous environment consisting of various cloud infrastructures by aggregating different IaaS provider capabilities coming from both the commercial and the academic area. In this paper, we introduce a federated cloud management solution that operates the federation through utilizing cloudbrokers for various IaaS providers. In order to enable an enhanced provider selection and inter-cloud service executions, an integrated monitoring approach is proposed which is capable of measuring the availability and reliability of the provisioned services in different providers. To this end, a minimal metric monitoring service has been designed and used together with a service monitoring solution to measure cloud performance. The transparent and cost effective operation on commercial clouds and the capability to simultaneously monitor both private and public clouds were the major design goals of this integrated cloud monitoring approach. Finally, the evaluation of our proposed solution is pre-

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Section: Evaluation Of Cloud Performancementioning

confidence: 99%

Enhancing Federated Cloud Management with an Integrated Service Monitoring Approach

et al. 2013

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“…Federation aspects in general have been discussed mostly from a security perspective [11], on the level of networks [33], or for monitoring purposes [7]. Although standardization is considered a key case [15] and has been shown on an operational level [32], federation protocols for automatic, infrastructure-level, and SLA-secured provisioning of resources and services are yet to be shown.…”

Section: Related Workmentioning

confidence: 99%

Infrastructure Federation Through Virtualized Delegation of Resources and Services

et al. 2011

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Infrastructure federation is becoming an increasingly important issue for modernDistributed Computing Infrastructures (DCIs): Dynamic elasticity of quasi-static Grid environments, incorporation of special-purpose resources into commoditized Cloud infrastructures, crosscommunity collaboration for increasingly diverging areas of modern e-Science, and Cloud Bursting pose major challenges on the technical level for many resource and middleware providers. Especially with respect to increasing costs of operating data centers, the intelligent yet automated and secure sharing of resources is a key factor for success. With the D-Grid Scheduler Interoperability (DGSI) project within the German D-Grid Initiative, we provide a strategic technology for the automatically negotiated, SLAsecured, dynamically provisioned federation of resources and services for Grid-and Cloud-type infrastructures. This goal is achieved by complementing current DCI schedulers with the ability to federate infrastructure for the temporary leasing of resources and rechanneling of workloads. In this work, we describe the overall architecture and SLA-secured negotiation protocols within DGSI and depict an advanced mechanism for resource delegation through means of dynamically provisioned, virtualized middleware. Through this methodology, we provide the technological foundation for intelligent capacity planning and workload management in a cross-infrastructure fashion. 356 G. Birkenheuer et al.

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“…In this Section, we discuss the D-GRDL [10], which is the current data model of the GWES workflow scheduling system utilized by the german life science communities. Then we shift our focus to the emerging GLUE v2.0 Schema [11], which is the generic information model for exchanging monitoring data of the DGrid Monitoring Project (D-MON) [12]. The D-MON project has a mission to provide a D-Grid-wide monitoring system that works with various middleware environments.…”

Section: Service Quality In the Data Modelmentioning

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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An Interoperable Grid Information System for Integrated Resource Monitoring Based on Virtual Organizations

Abstract: In many Grid infrastructures different kinds of information services are in use, which utilize different incompatible data structures and interfaces to encode and provide their data. Homo-

Cited by 13 publications

References 17 publications

Enhancing Federated Cloud Management with an Integrated Service Monitoring Approach

Enhancing Federated Cloud Management with an Integrated Service Monitoring Approach

Infrastructure Federation Through Virtualized Delegation of Resources and Services

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

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