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Advanced Network Services for (LHC) Experiments

Time 01/16/13 10:40AM-11:00AM

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Session Abstract

Recent years have seen a dramatic evolution in the area of research and education networking, enabling faster data rates and novel services to user communities. The NSF-funded ANSE project
integrates these new services, in particular dynamic bandwidth allocation (DYNES) and real-time network performance monitoring (perfSONAR), with the higher level workload management software deployed for the Large Hadron Collider (LHC),
like PanDA and PhEDEx in the ATLAS and CMS experiments.

A software defined networking approach, and in particular the use of dynamic bandwidth allocation capability, already available in ESnet and Internet2 networks, makes the network a
truly manageable resource, on par with CPU and storage resources.
The target is smart optimization of resource utilization through co-scheduling and deadline scheduling algorithms within data and workload management systems.
The ANSE system reacts to real-time conditions such as network events or node failure, as well as usage specific parameters like changes in data distribution priorities.
While the primary target for ANSE are the LHC experiments, the project's approach, is clearly applicable to other distributed computing and data intensive science applications on global scale.


Speaker Artur Barczyk California Institute of Technology

Speaker Shawn McKee University of Michigan

Speaker Paul Sheldon Vanderbilt University

Speaker Kaushik De University of Texas at Arlington

Presentation Media

media item thumbnail ANSE (pdf)

Speaker Artur Barczyk California Institute of Technology

Secondary tracks Global Collaboration Network Performance/Utilization R&E Network Applications Software Defined Networking

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