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SDN for End-to-End Networked Science at the Exascale (SENSE)

Inder Monga, Chin Guok, John MacAuley, Alex Sim, Harvey Newman, Justas Balcas, Phil DeMar, Linda Winkler, Tom Lehman, Xi Yang
2018 2018 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS)  
The Software-defined network for End-to-end Networked Science at Exascale (SENSE) research project is building smart network services to accelerate scientific discovery in the era of 'big data' driven  ...  The significance of these capabilities is the ability for science applications to manage the network as a firstclass schedulable resource akin to instruments, compute, and storage, to enable well defined  ...  The SDN for End-to-end Networked Science at the Exascale (SENSE) [1] project has developed an architecture and implementation to address this vision.  ... 
doi:10.1109/indis.2018.00007 dblp:conf/sc/MongaGMSNBDWL018 fatcat:goux54vgbbebldcz7mzuverzwe

Integrating End-to-End Exascale SDN into the LHC Data Distribution Cyberinfrastructure

Jonathan Guiang, Aashay Arora, Diego Davila, John Graham, Dima Mishin, Igor Sfiligoi, Frank Wuerthwein, Tom Lehman, Xi Yang, Chin Guok, Harvey Newman, Justas Balcas (+1 others)
2022 Practice and Experience in Advanced Research Computing  
In particular, the prototypical interoperation of SENSE, an SDN product developed by the Energy Sciences Network, with Rucio, the data management software used by the LHC, is outlined.  ...  This paper explores one potential solution to this issue: software-defined networking (SDN).  ...  In addition, the development of SENSE is supported by the US Department of Energy (DOE) Grants DE-SC0015527, DE-SC0015528, DE-SC0016585, and FP-00002494.  ... 
doi:10.1145/3491418.3535134 fatcat:ksi5bsli3fdozbzjkz2gbsidfu

Software-Defined Network for End-to-end Networked Science at the Exascale

Inder Monga, Chin Guok, John MacAuley, Alex Sim, Harvey Newman, Justas Balcas, Phil DeMar, Linda Winkler, Tom Lehman, Xi Yang
2020 Future generations computer systems  
The Software-Defined Network for End-to-end Networked Science at Exascale (SENSE) system includes a model-based architecture, implementation, and deployment which enables automated end-to-end network service  ...  Domain science applications and workflow processes are currently forced to view the network as an opaque infrastructure into which they inject data and hope that it emerges at the destination with an acceptable  ...  Work discussed in this paper was supported through multiple projects and grants from the Department of Energy and National Science Foundation including the following:  ... 
doi:10.1016/j.future.2020.04.018 fatcat:j3lhfywfu5ezvnudosfft4dsmy

Network Capabilities for the HL-LHC Era

Marian Babik, Shawn Mc Kee
2019 Zenodo  
Other data-intensive sciences will join with data scales similar to LHC, which will impact not only R&E providers, but also the way end-users are currently utilising the network.  ...  In the new multi-science high throughput environment, network provisioning, design and operations will need to evolve to better share and organise the available resources.  ...  Acknowledgements We would like to thank the WLCG and HEPiX organizations for their work on the topics presented.  ... 
doi:10.5281/zenodo.3599465 fatcat:keb765do4jgr3ctjn77jgs7vvu

Wormhole optical network: a new architecture to solve long diameter problem in exascale computer

En Shao, Zhan Wang, Guojun Yuan, Guangming Tan, Ninghui Sun
2019 CCF Transactions on High Performance Computing  
However, the diameter within the torus-interconnected network is too long to achieve efficient global communication in the exascale computer.  ...  Here, we propose an architecture called Wormhole Optical Network (WON) for the exascale computer which is based on optical circuit switching.  ...  (S k ) 18: end for 19: SDN controller send ready signal to job queue 20: TaskPermit(J i ) 21: end for the routing distance between different points.  ... 
doi:10.1007/s42514-019-00006-8 fatcat:vcavmmjebvdfbgyp35spuqgzjy

The LBNL Superfacility Project Report [article]

Deborah Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, William Arndt, Johannes Blaschke, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark Day (+15 others)
2022 arXiv   pre-print
The Superfacility model is designed to leverage HPC for experimental science.  ...  By the close of the project, we met our project goal by enabling our science application engagements to demonstrate automated pipelines that analyze data from remote facilities at large scale, without  ...  Acknowledgements The authors would like to thank the science teams that worked closely with the Superfacility team throughout the project.  ... 
arXiv:2206.11992v2 fatcat:j7peffkrv5ebzexnkhiwmzynpe

Multidimensional Convergence in Future 5G Networks

Marco Ruffini
2017 Journal of Lightwave Technology  
The paper, after expressing the view on the need for an end-to-end approach to network design, brings the reader into a journey on the expected 5G network requirements and outlines some of the work currently  ...  The paper concludes with final remarks on the role SDN will play in 5G and on the need for new business models that reflect the application-centric view of the network.  ...  It thus makes sense for the end user to pay for the service rather than for the network connectivity.  ... 
doi:10.1109/jlt.2016.2617896 fatcat:fqozctjx3bgg3lv436iwgj2tfe

Toxicity Analysis and Cry Gene Profiling of Bacillus Thuringiensis Isolated from Western Ghats of Tamil Nadu State, India

A. Ramalakshmi, P. Annakodi, V. Udayasurian, V. Balasubramani
2018 Proceedings of the Indian National Science Academy  
There are several different ways of arriving at such a definition, which, however all lead to exactly the same concept.  ...  There are various evidences of calculation as an ancient activity [Tedre, 2014] that dates back to Babylonian days used for varieties of navigational, astronomical and other day-to-day needs.  ...  To this end, it may perhaps be prudent for Indian networks to begin adapting SDN type technology.  ... 
doi:10.16943/ptinsa/2018/49413 fatcat:2w6rohpbava5zh6m26tsiz7qky

High Performance Data Transfer in Grid Environment Using GridFTP over InfiniBand

Hari Subramoni, Ping Lai, Raj Kettimuthu, Dhabaleswar K. Panda
2010 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing  
Though GridFTP has many optimizations for disk I/O operations, the relatively low communication bandwidth offered by the existing network protocols presents a bottleneck to next generation exascale applications  ...  The Advanced Data Transfer Service (ADTS) designed in our previous work provides the low level InfiniBand support to the Globus XIO layer *so that it can be used by GridFTP as well as by end-user Grid  ...  Indeed, the 10Gbps backbones of either ESnet [18] or Science Data Network (SDN) can currently offer such capacity to connect pairs of sites for extended periods, which corresponds to 500 Megabytes per  ... 
doi:10.1109/ccgrid.2010.115 dblp:conf/ccgrid/SubramoniLKP10 fatcat:5ebdlsdzvzdtvaeatdnlza3iti

D1.1: Technological status and capabilities of existing ICT Research Infrastructures

Bartosz Belter
2022 Zenodo  
Their design, deployment and operation are critical, calling for a scientific instrument to support the research in this domain for computer science and infrastructure researchers, as well as for data  ...  The document is intended at ESFRI stakeholders, policy makers, researchers and RI managers.  ...  Powder is an end-to-end platform for research on mobile wireless networks.  ... 
doi:10.5281/zenodo.5869714 fatcat:inpxmlnun5elxkczfajlj6ev34

A Survey on Trusted Distributed Artificial Intelligence

Muhammed Akif Agca, Sebastien Faye, Djamel Khadraoui
2022 IEEE Access  
Therefore, resiliency and robustness can be assured in a dynamic context with an end-to-end Trusted Execution Environment (TEE) for growing intelligent mechanisms and systems.  ...  Novel adaptive software-driven design approaches can enable us to build growing intelligent mechanisms with software-defined networking (SDN) features by virtualizing network functionalities with maximized  ...  It is a core mechanism for emerging Software Defined Networking (SDN) and virtualized network functionalities (NFV), as well as for the growing intelligent systems.  ... 
doi:10.1109/access.2022.3176385 fatcat:3snokz5z7rbhff2tde4gnrqf4a

Applications for ultrascale computing

2015 Supercomputing Frontiers and Innovations  
Ultrascale computing systems could offer the computing power required to solve these problems.  ...  Firstly, the complex computer simulations have to be either developed from scratch, or redesigned in order to yield high performance, while retaining correct functional behaviour.  ...  The end users can apply SDN to define a number of different topologies, based on an anticipated usage.  ... 
doi:10.14529/jsfi150102 fatcat:ffmlcygqyfatpamqvlrgjwjvaq

Future Computer Systems and Networking Research in the Netherlands: A Manifesto [article]

Alexandru Iosup
2022 arXiv   pre-print
Similarly, the emerging quantum internet depends on (traditional) CompSys to bootstrap operation for the foreseeable future.  ...  Computational sciences such as bioinformatics, and "Humanities for all" and "citizen data science", cannot become affordable and efficient until computer systems take a generational leap.  ...  Thus, the fundamental scientific challenges to be addressed include: (1) co-design compute, storage, and networking for sustainable and/or predictable computer systems, even at exascale and beyond; (2)  ... 
arXiv:2206.03259v1 fatcat:yz5xxpfeqbfbxp63i2naom3oy4

Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards [article]

Rajeev Muralidhar and Renata Borovica-Gajic and Rajkumar Buyya
2020 arXiv   pre-print
used for implementing energy efficiency at different levels of the stack, (d) verification techniques used to provide guarantees that the functionality of complex designs are preserved, and (e) energy  ...  parallelism (ILP) and the end of Dennard's scaling drove the industry towards multi-core chips.  ...  Some examples are GPUs, neural network processors for deep learning and processors for software-defined networks (SDNs) for high speed packet processing.  ... 
arXiv:2007.09976v2 fatcat:enrfj2qgerhyteapwykxcb5pni

Performance-Aware Refactoring of Cloud-Based Big Data Applications

Chen Li, Giuliano Casale
2017 2017 International Conference on Computational Science and Computational Intelligence (CSCI)  
The second step is to utilize parallel processors to calculate a hierarchal cluster of these n items based on this matrix. We have implemented our algorithm and have found it to be scalable.  ...  We present a parallel algorithm for the efficient clustering of proteins into groups. The input consists of an n by n distance matrix.  ...  Concretely, for the multi-label classification, we propose a novel end-to-end model, which takes the images as inputs and outputs the predictions of multi-labels.  ... 
doi:10.1109/csci.2017.264 fatcat:lq7gvjk2pzarllwdvrfw2g6xdm
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