InfoMax: A transport-layer paradigm for the age of data overload

Jongdeog Lee, Akash Kapoor, Md Tanvir Al Amin, Zeyuan Zhang, Radhika Goyal, Tarek Abdelzaher, Zhehao Wang, Ilya Moiseenko

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Traditional transport-layer protocols, such as TCP and UDP, envisioned a communication architecture with receivers who need all (or at least most) of the data originating at the respective senders. In the emerging age of data overload, a more common application data-access pattern will increasingly be that of consumers who need a representative sampling of data at producers, leading to a paradigm shift in transport protocols. InfoMax implements this abstraction on top of information-centric networks (ICNs). In this chapter, we present the design of InfoMax, a new transport-layer protocol that allows applications to request a representative sampling of a named data set. InfoMax exploits the recently proposed information-centric network paradigm that gives hierarchical names to data items, as opposed to IP addresses. Assuming that named objects that share a longer branch in the name space are semantically more similar, InfoMax has the property of minimizing semantic redundancy among the data items selected for delivery, hence offering the best coverage of the requested data set with the fewest delivered items. This chapter discusses the design of InfoMax, its experimental evaluation, and example applications.

Original languageEnglish (US)
Title of host publicationAdvances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing
PublisherRiver Publishers
Pages547-584
Number of pages38
ISBN (Electronic)9788793379886
ISBN (Print)9788793379879
StatePublished - Feb 1 2017

Fingerprint

Sampling
Redundancy
Semantics
Communication

Keywords

  • Configurable granularity
  • Customization
  • Information utility
  • Marginal utility
  • Representative sampling
  • Shortest-sharedpostfix- first
  • Summarization

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Lee, J., Kapoor, A., Al Amin, M. T., Zhang, Z., Goyal, R., Abdelzaher, T., ... Moiseenko, I. (2017). InfoMax: A transport-layer paradigm for the age of data overload. In Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing (pp. 547-584). River Publishers.

InfoMax : A transport-layer paradigm for the age of data overload. / Lee, Jongdeog; Kapoor, Akash; Al Amin, Md Tanvir; Zhang, Zeyuan; Goyal, Radhika; Abdelzaher, Tarek; Wang, Zhehao; Moiseenko, Ilya.

Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing. River Publishers, 2017. p. 547-584.

Research output: Chapter in Book/Report/Conference proceedingChapter

Lee, J, Kapoor, A, Al Amin, MT, Zhang, Z, Goyal, R, Abdelzaher, T, Wang, Z & Moiseenko, I 2017, InfoMax: A transport-layer paradigm for the age of data overload. in Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing. River Publishers, pp. 547-584.
Lee J, Kapoor A, Al Amin MT, Zhang Z, Goyal R, Abdelzaher T et al. InfoMax: A transport-layer paradigm for the age of data overload. In Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing. River Publishers. 2017. p. 547-584
Lee, Jongdeog ; Kapoor, Akash ; Al Amin, Md Tanvir ; Zhang, Zeyuan ; Goyal, Radhika ; Abdelzaher, Tarek ; Wang, Zhehao ; Moiseenko, Ilya. / InfoMax : A transport-layer paradigm for the age of data overload. Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing. River Publishers, 2017. pp. 547-584
@inbook{3ef20928884646c09dec1f1800ceb594,
title = "InfoMax: A transport-layer paradigm for the age of data overload",
abstract = "Traditional transport-layer protocols, such as TCP and UDP, envisioned a communication architecture with receivers who need all (or at least most) of the data originating at the respective senders. In the emerging age of data overload, a more common application data-access pattern will increasingly be that of consumers who need a representative sampling of data at producers, leading to a paradigm shift in transport protocols. InfoMax implements this abstraction on top of information-centric networks (ICNs). In this chapter, we present the design of InfoMax, a new transport-layer protocol that allows applications to request a representative sampling of a named data set. InfoMax exploits the recently proposed information-centric network paradigm that gives hierarchical names to data items, as opposed to IP addresses. Assuming that named objects that share a longer branch in the name space are semantically more similar, InfoMax has the property of minimizing semantic redundancy among the data items selected for delivery, hence offering the best coverage of the requested data set with the fewest delivered items. This chapter discusses the design of InfoMax, its experimental evaluation, and example applications.",
keywords = "Configurable granularity, Customization, Information utility, Marginal utility, Representative sampling, Shortest-sharedpostfix- first, Summarization",
author = "Jongdeog Lee and Akash Kapoor and {Al Amin}, {Md Tanvir} and Zeyuan Zhang and Radhika Goyal and Tarek Abdelzaher and Zhehao Wang and Ilya Moiseenko",
year = "2017",
month = "2",
day = "1",
language = "English (US)",
isbn = "9788793379879",
pages = "547--584",
booktitle = "Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing",
publisher = "River Publishers",
address = "Denmark",

}

TY - CHAP

T1 - InfoMax

T2 - A transport-layer paradigm for the age of data overload

AU - Lee, Jongdeog

AU - Kapoor, Akash

AU - Al Amin, Md Tanvir

AU - Zhang, Zeyuan

AU - Goyal, Radhika

AU - Abdelzaher, Tarek

AU - Wang, Zhehao

AU - Moiseenko, Ilya

PY - 2017/2/1

Y1 - 2017/2/1

N2 - Traditional transport-layer protocols, such as TCP and UDP, envisioned a communication architecture with receivers who need all (or at least most) of the data originating at the respective senders. In the emerging age of data overload, a more common application data-access pattern will increasingly be that of consumers who need a representative sampling of data at producers, leading to a paradigm shift in transport protocols. InfoMax implements this abstraction on top of information-centric networks (ICNs). In this chapter, we present the design of InfoMax, a new transport-layer protocol that allows applications to request a representative sampling of a named data set. InfoMax exploits the recently proposed information-centric network paradigm that gives hierarchical names to data items, as opposed to IP addresses. Assuming that named objects that share a longer branch in the name space are semantically more similar, InfoMax has the property of minimizing semantic redundancy among the data items selected for delivery, hence offering the best coverage of the requested data set with the fewest delivered items. This chapter discusses the design of InfoMax, its experimental evaluation, and example applications.

AB - Traditional transport-layer protocols, such as TCP and UDP, envisioned a communication architecture with receivers who need all (or at least most) of the data originating at the respective senders. In the emerging age of data overload, a more common application data-access pattern will increasingly be that of consumers who need a representative sampling of data at producers, leading to a paradigm shift in transport protocols. InfoMax implements this abstraction on top of information-centric networks (ICNs). In this chapter, we present the design of InfoMax, a new transport-layer protocol that allows applications to request a representative sampling of a named data set. InfoMax exploits the recently proposed information-centric network paradigm that gives hierarchical names to data items, as opposed to IP addresses. Assuming that named objects that share a longer branch in the name space are semantically more similar, InfoMax has the property of minimizing semantic redundancy among the data items selected for delivery, hence offering the best coverage of the requested data set with the fewest delivered items. This chapter discusses the design of InfoMax, its experimental evaluation, and example applications.

KW - Configurable granularity

KW - Customization

KW - Information utility

KW - Marginal utility

KW - Representative sampling

KW - Shortest-sharedpostfix- first

KW - Summarization

UR - http://www.scopus.com/inward/record.url?scp=85071813384&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071813384&partnerID=8YFLogxK

M3 - Chapter

AN - SCOPUS:85071813384

SN - 9788793379879

SP - 547

EP - 584

BT - Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing

PB - River Publishers

ER -