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Data Transfer
SNAG: SDN-Managed Network Architecture for GridFTP Transfers Using Application-Awareness
Increasingly, academic campus networks support large-scale data transfer workflows for data-intensive science. These data transfers …
Deepak Nadig
,
Byrav Ramamurthy
,
Brian Bockelman
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Cache Management for Large Data Transfers in Named Data Networking using SDN
The Compact Muon Solenoid (CMS) on the Large Hadron Collider (LHC) manage high volumes of data that currently exceeds 100PB across …
Mohammad Alhowaidi
,
Deepak Nadig
,
Byrav Ramamurthy
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Comparative Performance Evaluation of High-performance Data Transfer Tools
Data transfer in wide-area networks has been long studied in different contexts, from data sharing among data centers to online access …
Deepak Nadig
,
Eun-Sung Jung
,
Rajkumar Kettimuthu
,
Ian Fosterz
,
S.V. Nageswara Rao
,
Byrav Ramamurthy
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Large Data Transfer Predictability and Forecasting using Application-Aware SDN
Network management for applications that rely on large-scale data transfers is challenging due to the volatility and the dynamic nature …
Deepak Nadig
,
Byrav Ramamurthy
,
Brian Bockelman
,
David Swanson
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Multipath Forwarding Strategies and SDN Control for Named Data Networking
Named Data Networking (NDN) proposes a contentcentric rather than a host-centric approach to data retrieval. Data packets with unique …
Mohammad Alhowaidi
,
Deepak Nadig
,
Byrav Ramamurthy
,
Brian Bockelman
,
David Swanson
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Differentiated network services for data-intensive science using application-aware SDN
Data-intensive science projects rely on scalable, high-performance, fault-tolerant protocols for transferring large-volume data over a …
Deepak Nadig Anantha
,
Byrav Ramamurthy
,
Brian Bockelman
,
David Swanson
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Inter-domain routing with cut-through switching for the MobilityFirst Future Internet architecture
Future Internet projects such as MobilityFirst and Named Data Networking have proposed novel mechanisms to replace the Internet …
Adrian Lara
,
Shreyasee Mukherjee
,
Byrav Ramamurthy
,
Dipankar Raychaudhuri
,
K. K. Ramakrishnan
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Joint Computing and Network Resource Scheduling in a Lambda Grid Network
Data-intensive grid applications require huge data transfers between grid computing nodes. These computing nodes, where computing jobs …
V. Lakshmiraman
,
B. Ramamurthy
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