Protocols for efficient inference communication

Carl Andersen; Prithwish Basu; Basak Guler; Aylin Yener; Ebrahim Molavianjazi

doi:10.1109/PERCOMW.2015.7133993

Protocols for efficient inference communication

Carl Andersen, Prithwish Basu, Basak Guler, Aylin Yener, Ebrahim Molavianjazi

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

Abstract

Semantic approaches are increasingly applied to large-scale computing tasks. Nodes in such systems will need to exchange large volumes of declarative information, including ontologies and logical theories. In this paper, we describe our initial work on a system for compressed two-way communication of simplified logical inferences. This new system simplifies protocols for semantic data compression from our prior work, reducing seemingly different operations to hypergraph partitioning. We also present a new protocol that achieves significant speedup, at the cost of reduced compression.

Original language	English (US)
Title of host publication	2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	51-56
Number of pages	6
ISBN (Electronic)	9781479984251
DOIs	https://doi.org/10.1109/PERCOMW.2015.7133993
State	Published - Jun 24 2015
Event	13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015 - St. Louis, United States Duration: Mar 23 2015 → Mar 27 2015

Publication series

Name	2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015

Other

Other	13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015
Country/Territory	United States
City	St. Louis
Period	3/23/15 → 3/27/15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Human-Computer Interaction
Health(social science)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PERCOMW.2015.7133993

Cite this

Andersen, C., Basu, P., Guler, B., Yener, A., & Molavianjazi, E. (2015). Protocols for efficient inference communication. In 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015 (pp. 51-56). Article 7133993 (2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2015.7133993

Andersen, Carl ; Basu, Prithwish ; Guler, Basak et al. / Protocols for efficient inference communication. 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 51-56 (2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015).

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title = "Protocols for efficient inference communication",

abstract = "Semantic approaches are increasingly applied to large-scale computing tasks. Nodes in such systems will need to exchange large volumes of declarative information, including ontologies and logical theories. In this paper, we describe our initial work on a system for compressed two-way communication of simplified logical inferences. This new system simplifies protocols for semantic data compression from our prior work, reducing seemingly different operations to hypergraph partitioning. We also present a new protocol that achieves significant speedup, at the cost of reduced compression.",

author = "Carl Andersen and Prithwish Basu and Basak Guler and Aylin Yener and Ebrahim Molavianjazi",

year = "2015",

month = jun,

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doi = "10.1109/PERCOMW.2015.7133993",

language = "English (US)",

series = "2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015",

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booktitle = "2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015",

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note = "13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015 ; Conference date: 23-03-2015 Through 27-03-2015",

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Andersen, C, Basu, P, Guler, B, Yener, A & Molavianjazi, E 2015, Protocols for efficient inference communication. in 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015., 7133993, 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015, Institute of Electrical and Electronics Engineers Inc., pp. 51-56, 13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015, St. Louis, United States, 3/23/15. https://doi.org/10.1109/PERCOMW.2015.7133993

Protocols for efficient inference communication. / Andersen, Carl; Basu, Prithwish; Guler, Basak et al.
2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 51-56 7133993 (2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015).

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

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M3 - Conference contribution

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T3 - 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015

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BT - 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015

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Andersen C, Basu P, Guler B, Yener A, Molavianjazi E. Protocols for efficient inference communication. In 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 51-56. 7133993. (2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015). doi: 10.1109/PERCOMW.2015.7133993

Protocols for efficient inference communication

Abstract

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All Science Journal Classification (ASJC) codes

UN SDGs

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