Modelling of a self-led critical friend topology in inter-cooperative grid communities

Bessis, Nik; Huang, Ye; Norrington, Peter; Brown, Antony; Kuonen, Pierre; Hirsbrunner, Béat

doi:10.1016/j.simpat.2010.06.020

Cited by 4 publications

(2 citation statements)

References 16 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bessis et al [50] and Brown et al [51] propose a trustbased cooperative grid communities using selfled critical friend model. Functional trust in a node is obtained by taking the average of the product of functional trust in the node from a common neighbor with the latter's referral trust.…”

Section: Additional Sample Applications Of Trust In Collaborative Envmentioning

confidence: 99%

Comparative trust management with applications: Bayesian approaches emphasis

Thirunarayan

Anantharam

Henson

et al. 2014

Future Generation Computer Systems

View full text Add to dashboard Cite

show abstract

Section: Additional Sample Applications Of Trust In Collaborative Envmentioning

confidence: 99%

Comparative trust management with applications: Bayesian approaches emphasis

Thirunarayan

Anantharam

Henson

et al. 2014

Future Generation Computer Systems

View full text Add to dashboard Cite

show abstract

“…The scalability characteristic allows for the extension of the system to a large number of machines (usually to increase the processing or storage capacity). 11 This property is preserved in MONARC by considering the case of multiple resources connected by simulated networking resources. A modeled distributed system can consist of many simulated machines, each composed of both computing and storage elements.…”

Section: Monarc Simulation Frameworkmentioning

confidence: 99%

Simulation analysis of data processing activities in Compact Muon Solenoid physics

Dobre

2012

SIMULATION

View full text Add to dashboard Cite

The scale, complexity and worldwide geographical spread of the Large Hadron Collider (LHC) computing and data analysis problems are unprecedented in scientific research. The complexity of processing and accessing this data is increased substantially by the size and global span of the major experiments, combined with the limited wide-area network bandwidth available. This paper discusses the latest generation of the MONARC (MOdels of Networked Analysis at Regional Centers) simulation framework, as a design and modeling tool for large-scale distributed systems applied to high-energy physics experiments. We present a simulation study designed to evaluate the capabilities of the current real-world distributed infrastructures deployed to support existing LHC physics analysis processes and the means by which the experiments band together to meet the technical challenges posed by the storage, access and computing requirements of LHC data analysis. The Compact Muon Solenoid (CMS) experiment, in particular, uses a general-purpose detector to investigate a wide range of physics. We present a simulation study designed to evaluate the capability of its underlying distributed processing infrastructure to support the physics analysis processes. The results, made possible by the MONARC model, demonstrate that the LHC infrastructures are well suited to support the data processes envisioned by the CMS computing model.

show abstract

Modeling and performance analysis of networking and collaborative systems

Caballé

Xhafa

2011

Simulation Modelling Practice and Theory

View full text Add to dashboard Cite

Modelling of a self-led critical friend topology in inter-cooperative grid communities

Cited by 4 publications

References 16 publications

Comparative trust management with applications: Bayesian approaches emphasis

Comparative trust management with applications: Bayesian approaches emphasis

Simulation analysis of data processing activities in Compact Muon Solenoid physics

Modeling and performance analysis of networking and collaborative systems

Contact Info

Product

Resources

About