A5087033770- Scientific Computing and Data Management
- Distributed and Parallel Computing Systems
- Biblical Studies and Interpretation
- Software System Performance and Reliability
- Archaeology and Historical Studies
- Historical and Linguistic Studies
- Research Data Management Practices
- Historical, Religious, and Philosophical Studies
- Cloud Computing and Resource Management
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Peer-to-Peer Network Technologies
- Religious Education and Schools
- Graphite, nuclear technology, radiation studies
- Service-Oriented Architecture and Web Services
- Caching and Content Delivery
- Network Traffic and Congestion Control
- Big Data and Business Intelligence
- Jewish and Middle Eastern Studies
- Interconnection Networks and Systems
- Software-Defined Networks and 5G
- Parallel Computing and Optimization Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Jewish Identity and Society
- Mobile Agent-Based Network Management
Energy Sciences Network
2011-2025
Lawrence Berkeley National Laboratory
2013-2025
Kennesaw State University
2021
University of Michigan
2011-2021
University of Groningen
2017-2021
Indiana University
2019-2021
Purdue University West Lafayette
2019
American Jewish University
2013-2017
Internet2
2009-2014
Internet Society
2012
The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results collaborators worldwide. Despite the availability high-capacity connections, scientists struggle inadequate cyberinfrastructure cripples performance, impedes progress. Science DMZ paradigm comprises proven set network design patterns collectively address these problems scientists. We explain model, including...
The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results collaborators worldwide. Despite the availability high-capacity connections, scientists struggle inadequate cyberinfrastructure cripples performance, impedes progress. Science DMZ paradigm comprises proven set network design patterns collectively address these problems scientists. We explain model, including...
Grid and distributed computing environments are evolving rapidly driving the development of system network technologies. The design applications has placed an increased emphasis upon adapting application behavior based on performance network. In addition, operators researchers naturally interested in gathering studying information. This work presents extensible framework for storage exchange measurements. Leveraging existing mechanisms, proposed is capable handling a wide variety...
Many scientific applications, including bulk data transfer, can achieve significantly higher performance from virtually loss-free dedicated resources provisioned on shared links, than opportunistic network use.Research and Education (R&E) backbones, the Energy Sciences Network Internet2, provide general-purpose services to allocate bandwidth.However, in order fully take advantage of this technology, applications need move coarse-grained "reservation" strategies, more sophisticated control...
The Worldwide LHC Computing Grid relies on the network as a critical part of its infrastructure and therefore needs to guarantee effective usage prompt detection resolution any issues, including connection failures, congestion, traffic routing, etc. WLCG Network Transfer Metrics project aims integrate combine all network-related monitoring data collected by infrastructure. This includes FTS information, from XRootD federation, well results perfSONAR tests. main challenge consists further...
Scientific innovation continues to increase requirements for the computing and networking infrastructures of world. Collaborative partners, instrumentation, storage, processing facilities are often geographically topologically separated, as is case with LHC virtual organizations. These separations challenge technology used interconnect available resources, delivered by Research Education (R&E) providers, leads complications in overall process end-to-end data management.
IPv6 is the current version of IP, protocol that used to route traffic across internet connections. This standard was originally developed as a new approach mitigate concerns about address exhaustion and allow for near infinite scalability. While this has gained significant support in mobile broadband networks, well being default networks emerging economies, it yet be fully adopted deployment model. Complications include legacy devices unable proposed changes, potential challenges exist...
The WLCG infrastructure moved from a very rigid network topology, based on the MONARC model, to more relaxed system, where data movement between regions or countries does not necessarily need involve T1 centres. While this evolution brought obvious advantages, especially in terms of flexibility for LHC experiment's management systems, it also opened question how monitor increasing number possible paths, order provide global reliable service. perfSONAR monitoring system has been evaluated and...
A widely-distributed network monitoring system requires a scalable discovery mechanism. The "lookup service" component of the perfSONAR framework is able to manage registration, distill resource data into tractable units, and respond queries regarding performance information. model organizing distributing information presented support both dynamic environments where services frequently change as well different administrative configuration requirements exist. These interactions are...
Scientific innovation continues to increase requirements for the computing and networking infrastructures of world. Collaborative partners, instrumentation, storage, processing facilities are often geographically topologically separated, thus complicating problem end-to-end data management. Networking solutions, provided by R&E focused organizations, serve as a vital link between these distributed components. Capacity traffic management key concerns network operators; delicate balance is...
Global scientific collaborations, such as ATLAS, continue to push the network requirements envelope. Data movement in this collaboration is routinely including regular exchange of petabytes datasets between collection and analysis facilities coming years. These place a high emphasis on networks functioning at peak efficiency availability; lack thereof could mean critical delays overall progress distributed data-intensive experiments like ATLAS.