Demo abstract: Enabling high-throughput big data transfers across campus networks

Sergio Rivera; Jacob Chappell; Mami Hayashida; Andrew Groenewold; Peter Oostema; Caleb Voss; Hussamuddin Nasir; Charles Carpenter; Yongwook Song; Zongming Fei; James Griffioen

doi:10.1109/INFCOMW.2017.8116507

Demo abstract: Enabling high-throughput big data transfers across campus networks

Sergio Rivera, Jacob Chappell, Mami Hayashida, Andrew Groenewold, Peter Oostema, Caleb Voss, Hussamuddin Nasir, Charles Carpenter, Yongwook Song, Zongming Fei, James Griffioen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Big Data transfers are increasingly plagued by middlebox bottlenecks such as NAT boxes, firewalls, and intrusion detection systems that prevent large data transfers from achieving maximal throughput across the campus network. Science DMZs have historically been used to solve this problem. We are developing a Software Defined Networking (SDN) campus network that achieves the same benefits - by allowing privileged flows to bypass middleboxes - without the limitations and downsides of Science DMZs. To evaluate our approach and develop a prototype implementation, we created a campus-like lab-based physical network using Aruba switches that support running multiple OpenFlow (virtual) instances per physical chassis. We will demonstrate the control software used to drive the testbed and the performance improvement for big data transfers under our approach.

Original language	English
Title of host publication	2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
Pages	954-955
Number of pages	2
ISBN (Electronic)	9781538627846
DOIs	https://doi.org/10.1109/INFCOMW.2017.8116507
State	Published - Nov 20 2017
Event	2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 - Atlanta, United States Duration: May 1 2017 → May 4 2017

Publication series

Name	2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017

Conference

Conference	2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
Country/Territory	United States
City	Atlanta
Period	5/1/17 → 5/4/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

Hardware and Architecture
Control and Optimization
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/INFCOMW.2017.8116507

Cite this

Rivera, S., Chappell, J., Hayashida, M., Groenewold, A., Oostema, P., Voss, C., Nasir, H., Carpenter, C., Song, Y., Fei, Z., & Griffioen, J. (2017). Demo abstract: Enabling high-throughput big data transfers across campus networks. In 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 (pp. 954-955). Article 8116507 (2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017). https://doi.org/10.1109/INFCOMW.2017.8116507

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title = "Demo abstract: Enabling high-throughput big data transfers across campus networks",

abstract = "Big Data transfers are increasingly plagued by middlebox bottlenecks such as NAT boxes, firewalls, and intrusion detection systems that prevent large data transfers from achieving maximal throughput across the campus network. Science DMZs have historically been used to solve this problem. We are developing a Software Defined Networking (SDN) campus network that achieves the same benefits - by allowing privileged flows to bypass middleboxes - without the limitations and downsides of Science DMZs. To evaluate our approach and develop a prototype implementation, we created a campus-like lab-based physical network using Aruba switches that support running multiple OpenFlow (virtual) instances per physical chassis. We will demonstrate the control software used to drive the testbed and the performance improvement for big data transfers under our approach.",

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doi = "10.1109/INFCOMW.2017.8116507",

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Rivera, S, Chappell, J, Hayashida, M, Groenewold, A, Oostema, P, Voss, C, Nasir, H, Carpenter, C, Song, Y, Fei, Z & Griffioen, J 2017, Demo abstract: Enabling high-throughput big data transfers across campus networks. in 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017., 8116507, 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017, pp. 954-955, 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017, Atlanta, United States, 5/1/17. https://doi.org/10.1109/INFCOMW.2017.8116507

Demo abstract: Enabling high-throughput big data transfers across campus networks. / Rivera, Sergio; Chappell, Jacob; Hayashida, Mami et al.
2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017. 2017. p. 954-955 8116507 (2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hayashida, Mami

AU - Groenewold, Andrew

AU - Oostema, Peter

AU - Voss, Caleb

AU - Nasir, Hussamuddin

AU - Carpenter, Charles

AU - Song, Yongwook

AU - Fei, Zongming

AU - Griffioen, James

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Rivera S, Chappell J, Hayashida M, Groenewold A, Oostema P, Voss C et al. Demo abstract: Enabling high-throughput big data transfers across campus networks. In 2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017. 2017. p. 954-955. 8116507. (2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017). doi: 10.1109/INFCOMW.2017.8116507

Demo abstract: Enabling high-throughput big data transfers across campus networks

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ASJC Scopus subject areas

Access to Document

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