2018
Alhowaidi, M.; Nadig, D.; Ramamurthy, B.; Bockelman, B.; Swanson, D.
Multipath Forwarding Strategies and SDN Control for Named Data Networking Proceedings Article
In: 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6, 2018.
Abstract | BibTeX | Tags: Computer architecture, Data transfer, IP networks, Pipeline processing, Pipelines, Routing, Routing protocols | Links:
@inproceedings{alhowaidi_multipath_2018,
title = {Multipath Forwarding Strategies and SDN Control for Named Data Networking},
author = {M. Alhowaidi and D. Nadig and B. Ramamurthy and B. Bockelman and D. Swanson},
url = {https://deepaknadig.com/wp-content/uploads/2021/09/Alhowaidi-et-al.-2018-Multipath-Forwarding-Strategies-and-SDN-Control-fo.pdf},
doi = {10.1109/ANTS.2018.8710068},
year = {2018},
date = {2018-12-01},
urldate = {2018-12-01},
booktitle = {2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)},
pages = {1--6},
abstract = {Named Data Networking (NDN) proposes a contentcentric rather than a host-centric approach to data retrieval. Data packets with unique and immutable names are retrieved from a content store (CS) using Interest packets. The current NDN architecture relies on forwarding strategies that are dependent upon on-path caching and is therefore inefficient. This approach reduces data transfer efficiency by ignoring the cached content available on the adjacent off-path routers in the network. In this paper, we propose a novel distributed multipath (D-MP) forwarding strategy and enhancements to the NDN Interest forwarding pipeline. Furthermore, we develop a centralized SDNenabled control for the multipath forwarding strategy (S-MP) that distributes Interests efficiently by using the global knowledge of the NDN network states. We perform extensive evaluations of our proposed methods on an at-scale WAN testbed spanning six geographically separated sites. Our solutions outperform the existing NDN forwarding strategies by a significant margin. We show that the D-MP strategy results in performance gains ranging between 10.4x to 12.5x over the default NDN implementation without in-network caching, and gains of 12.2x to 18.4x with in-network caching. In addition, for the S-MP case, we demonstrate a performance improvement of 10.6x to 12.6x, and 12.9x to 18.5x, for with- and without in-network caching respectively.},
keywords = {Computer architecture, Data transfer, IP networks, Pipeline processing, Pipelines, Routing, Routing protocols},
pubstate = {published},
tppubtype = {inproceedings}
}
Nadig, D.; Jung, E.; Kettimuthu, R.; Foster, I.; Rao, S. V. Nageswara; Ramamurthy, B.
Comparative Performance Evaluation of High-performance Data Transfer Tools Proceedings Article
In: 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6, 2018.
Abstract | BibTeX | Tags: Data transfer, Local area networks, Protocols, Reliability, Software architecture, Tools, Wide area networks | Links:
@inproceedings{nadig_comparative_2018,
title = {Comparative Performance Evaluation of High-performance Data Transfer Tools},
author = {D. Nadig and E. Jung and R. Kettimuthu and I. Foster and S. V. Nageswara Rao and B. Ramamurthy},
url = {https://deepaknadig.com/wp-content/uploads/2021/09/Nadig-et-al.-2018-Comparative-Performance-Evaluation-of-High-perform.pdf},
doi = {10.1109/ANTS.2018.8710071},
year = {2018},
date = {2018-12-01},
urldate = {2018-12-01},
booktitle = {2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)},
pages = {1--6},
abstract = {Data transfer in wide-area networks has been long studied in different contexts, from data sharing among data centers to online access to scientific data. Many software tools and platforms have been developed to facilitate easy, reliable, fast, and secure data transfer over wide area networks, such as GridFTP, FDT, bbcp, mdtmFTP, and XDD. However, few studies have shown the full capabilities of existing data transfer tools from the perspective of whether such tools have fully adopted state-of-the-art techniques through meticulous comparative evaluations. In this paper, we evaluate the performance of the four highperformance data transfer tools (GridFTP, FDT, mdtmFTP, and XDD) in various environments. Our evaluation suggests that each tool has strengths and weaknesses. FDT and GridFTP perform consistently in diverse environments. XDD and mdtmFTP show improved performance in limited environments and datasets during our evaluation. Unlike other studies on data transfer tools, we also evaluate the predictability of the tools’ performance, an important factor for scheduling different stages of science workflows. Performance predictability also helps in (auto)tuning the configurable parameters of the data transfer tool. We apply statistical learning techniques such as linear/polynomial regression, and k-nearest neighbors (kNN), to assess the performance predictability of each tool using its control parameters. Our results show that we can achieve good prediction performance for GridFTP and mdtmFTP using linear regression and kNN, respectively.},
keywords = {Data transfer, Local area networks, Protocols, Reliability, Software architecture, Tools, Wide area networks},
pubstate = {published},
tppubtype = {inproceedings}
}
Nadig, D.; Ramamurthy, B.; Bockelman, B.; Swanson, D.
Large Data Transfer Predictability and Forecasting using Application-Aware SDN Proceedings Article
In: 2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6, 2018.
Abstract | BibTeX | Tags: Aggregates, Analytical models, Data analysis, Data models, Data transfer, Forecasting, Predictive models | Links:
@inproceedings{nadig_large_2018,
title = {Large Data Transfer Predictability and Forecasting using Application-Aware SDN},
author = {D. Nadig and B. Ramamurthy and B. Bockelman and D. Swanson},
url = {https://deepaknadig.com/wp-content/uploads/2021/09/Nadig-et-al.-2018-Large-Data-Transfer-Predictability-and-Forecasting.pdf},
doi = {10.1109/ANTS.2018.8710165},
year = {2018},
date = {2018-12-01},
urldate = {2018-12-01},
booktitle = {2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)},
pages = {1--6},
abstract = {Network management for applications that rely on large-scale data transfers is challenging due to the volatility and the dynamic nature of the access traffic patterns. Predictive analytics and forecasting play an important role in providing effective resource allocation strategies for large data transfers. We propose a predictive analytics solution for large data transfers using an application-aware software defined networking (SDN) approach. We perform extensive exploratory data analysis to characterize the GridFTP connection transfers dataset and present various strategies for its use with statistical forecasting models. We develop a univariate autoregressive integrated moving average (ARIMA) based prediction framework for forecasting GridFTP connection transfers. Our prediction model tightly integrates with an application-aware SDN solution to preemptively drive network management decisions for GridFTP resource allocation at a U.S. CMS Tier-2 site. Further, our framework has a mean absolute percentage error (MAPE) ranging from 6% to 10% when applied to make rolling forecasts.},
keywords = {Aggregates, Analytical models, Data analysis, Data models, Data transfer, Forecasting, Predictive models},
pubstate = {published},
tppubtype = {inproceedings}
}
2017
Nadig, D.; Ramamurthy, B.; Bockelman, B.; Swanson, D.
Differentiated network services for data-intensive science using application-aware SDN Best Paper Proceedings Article
In: 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 1–6, 2017.
Abstract | BibTeX | Tags: application-aware SDN, application-aware software-defined networking, application-awareness, Compact Muon Solenoid, Cryptography, Data transfer, data-intensive science, data-intensive science projects, differentiated network services, DiffServ networks, Engines, fault-tolerant protocols, gravitational wave detectors, gridftp, GridFTP protocol, high-delay wide area network, high-energy physics projects, Laser Interferometer Gravitational-Wave Observatory, Metadata, physics computing, policy-driven approach, Protocols, queueing theory, queuing system, Servers, software defined networking, software defined networks, Wide area networks | Links:
@inproceedings{nadig_differentiated_2017,
title = {Differentiated network services for data-intensive science using application-aware SDN},
author = {D. Nadig and B. Ramamurthy and B. Bockelman and D. Swanson},
url = {https://deepaknadig.com/wp-content/uploads/2021/09/Anantha-et-al.-2017-Differentiated-network-services-for-data-intensive.pdf},
doi = {10.1109/ANTS.2017.8384105},
year = {2017},
date = {2017-12-01},
urldate = {2017-12-01},
booktitle = {2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)},
pages = {1--6},
abstract = {Data-intensive science projects rely on scalable, high-performance, fault-tolerant protocols for transferring large-volume data over a high-bandwidth, high-delay wide area network (WAN). The commonly used protocol for WAN data distribution is the GridFTP protocol. GridFTP uses encrypted sessions for data transfers and does not exchange any information with the network-layer resulting in reduced flexibility for network management at the site-level. We propose an application-aware software-defined networking (SDN) approach for providing differentiated network services for high-energy physics projects such as Compact Muon Solenoid (CMS) and Laser Interferometer Gravitational-Wave Observatory (LIGO). We demonstrate a policy-driven approach for differentiating network traffic by exploiting application- and network-layer collaboration to achieve accurate accounting of resources used by each project. We implement two strategies, a 7-3 queuing system, and a 10-3 queuing system, and show that the 10-3 strategy provides an additional capacity improvement of 11.74% over the 7-3 strategy.},
keywords = {application-aware SDN, application-aware software-defined networking, application-awareness, Compact Muon Solenoid, Cryptography, Data transfer, data-intensive science, data-intensive science projects, differentiated network services, DiffServ networks, Engines, fault-tolerant protocols, gravitational wave detectors, gridftp, GridFTP protocol, high-delay wide area network, high-energy physics projects, Laser Interferometer Gravitational-Wave Observatory, Metadata, physics computing, policy-driven approach, Protocols, queueing theory, queuing system, Servers, software defined networking, software defined networks, Wide area networks},
pubstate = {published},
tppubtype = {inproceedings}
}