The UNICORE Grid Infrastructure

Romberg, Mathilde

doi:10.1155/2002/483253

Cited by 53 publications

(28 citation statements)

References 7 publications

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“…On the other hand, there are numerous approaches related to Grid architectures, middleware, infrastructures, projects, and so on, such as OGSA (Foster et al, 2002) that is a specification that defines a set of concepts, rules, features, properties, services, capacities and behaviour for implementing Grid Computing applications, but it does not indicate the steps and methods to develop for obtaining a Grid application. Other approach is UNICORE (Uniform Interface to Computing Resources) (Romberg, 2002) which develops a software infrastructure for seamless access to distributed supercomputer resources. The problem is that does not support either dynamic environment or mobile devices.…”

Section: Related Workmentioning

confidence: 99%

Security in the Development Process of Mobile Grid Systems

Rosado

Fernández‐Medina

López

2011

Advances in Grid Computing

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Section: Related Workmentioning

confidence: 99%

Security in the Development Process of Mobile Grid Systems

Rosado

Fernández‐Medina

López

2011

Advances in Grid Computing

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“…Legion [ 16] is another famous software implementation for wide-area computing, supporting both system-level resource management and adaptability for user-level scheduling policies [ 8]. UNICORE [ 27] is developed in Europe as a Java grid implementation that provides client/server software packages for seamless access to distributed computing and data resources [ 26]. Titan is integrated with ARMS [ 5], an agent-based resource management system for grid computing, to implement grid load balancing [ 6], though no QoS support can be provided to individual jobs.…”

Section: Related Workmentioning

confidence: 99%

Cost Estimation of Advance Reservations Over Queued Jobs: A Quantitative Study

Zhao

Cao

et al. 2010

Int. J. Model. Simul. Sci. Comput.

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A grid is a geographically distributed resource sharing environment across multiple organizations. The most typical grid resources are clusters with the high performance/cost ratio. In general, these clusters are shared as non-dedicated grid resources since local users may run their jobs simultaneously. Local jobs are usually queued and processed in a batch mode with uncertain waiting time while grid jobs always require advance reservations with guaranteed resource allocation.In this paper, we provide quantitative analysis on the impact of advance reservations over queued jobs, in terms of job waiting time and resource utilization, respectively. It is observed that advance reservations will lead to longer job waiting time and lower resource utilization. That is to say, advance reservations should cost more than queued jobs. In this work, based on quantitative experimental results, an empirical formula for cost estimation of advance reservations over queued jobs is presented. It is suggested that compared with queued jobs, advance reservations should be doubly charged to compensate resource utilization loss. If the notice time of an advance reservation is short below a threshold, additional cost should be applied further since queue waiting time is increased.

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“…Making network-available resources is achieved by using a set of functionalities and technologies, not provided by grid applications themselves, but by the grid middleware, a set of extremely complex pieces of software, commonly found as the basis of most grid technologies [9,10].…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Analysis Framework for Grid Middleware

Noil

Julià

Carrera

et al. 2007

15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07)

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As the use of complex grid middleware becomes widespread and more facilites are offered by these pieces of software, distributed Grid applications are becoming more and more popular. But as Grid middleware grows in size and offers more advanced features, they become more complex and heavier, as well as harder to tune. Since the performance of a distributed Grid application can be strongly influenced by the operation of the underlying grid middleware, it becomes of extreme importance to study and analyse its behaviour and performance.In this paper we present the eDragon Monitoring Framework (eDMF), a set of tools that can be used for the instrumentation and analysis of grid middleware, and which provides a unique environment to study the performance of Grid applications. The eDMF is composed of a set of specialised monitoring tools as well as by a flexible and powerful performance analysis platform. Additionally we also provide a practical application of the eDMF to the Globus Toolkit 4 (GT4), one of the most extended and popular Grid middleware, showing how it helped us in the detection and resolution of several job management problems observed in the GT4 middleware.

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The UNICORE Grid Infrastructure

Cited by 53 publications

References 7 publications

Security in the Development Process of Mobile Grid Systems

Security in the Development Process of Mobile Grid Systems

Cost Estimation of Advance Reservations Over Queued Jobs: A Quantitative Study

Monitoring and Analysis Framework for Grid Middleware

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