Article

Infopipes for composing distributed information flows

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Calton PuAuthors Info & Claims

M3W: Proceedings of the 2001 international workshop on Multimedia middleware

Pages 44 - 47

https://doi.org/10.1145/985135.985150

Published: 05 October 2001 Publication History

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Abstract

Building applications that process information flows on existing middleware platforms is difficult, because of the variety of QoS requirements, the need for application-specific protocols, and the poor match of the commonly used abstraction of remote invocations to streaming. We propose Infopipes as a high-level abstraction for building blocks that handle information flows. The ability to query individual Infopipe elements as well as composite Infopipes for properties of supported flows enables QoS-aware configuration. Similarly to local protocol frameworks Infopipes provide a flexible infrastructure for configuring communication services from modules, but unlike protocols the abstraction uniformly includes the entire pipeline from source to sink, possibly across process and node boundaries.

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Cited By

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(2015)High frequency batch-oriented computations over large sliding time windowsFuture Generation Computer Systems10.1016/j.future.2014.09.00843:C(1-11)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1016/j.future.2014.09.008
Aniello LQuerzoni LBaldoni RShin SMaldonado J(2013)Input data organization for batch processing in time window based computationsProceedings of the 28th Annual ACM Symposium on Applied Computing10.1145/2480362.2480437(363-370)Online publication date: 18-Mar-2013
https://dl.acm.org/doi/10.1145/2480362.2480437
Zink M(2013)ReferencesScalable Video on Demand10.1002/9780470022702.refs(233-244)Online publication date: 16-Aug-2013
https://doi.org/10.1002/9780470022702.refs
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Infopipes for composing distributed information flows
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles

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Information & Contributors

Information

Published In

M3W: Proceedings of the 2001 international workshop on Multimedia middleware

October 2001

93 pages

ISBN:1581133960

DOI:10.1145/985135

Conference Chair:
Vincent Oria
New Jersey Institute of Technology
,
General Chairs:
Nicolas D. Georganas
University of Ottawa
,
Radu Popescu-Zeletin
GMD Fokus
,
Program Chairs:
Tzi-cker Chiueh
SUNY Stony Brook
,
Wolfgang Klas
University of Vienna
,
Aidong Zhang
SUNY Buffallo

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 October 2001

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MM01: ACM Multimedia 2001

05 10 2001

Ontario, Ottawa, Canada

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Cited By

View all

(2015)High frequency batch-oriented computations over large sliding time windowsFuture Generation Computer Systems10.1016/j.future.2014.09.00843:C(1-11)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1016/j.future.2014.09.008
Aniello LQuerzoni LBaldoni RShin SMaldonado J(2013)Input data organization for batch processing in time window based computationsProceedings of the 28th Annual ACM Symposium on Applied Computing10.1145/2480362.2480437(363-370)Online publication date: 18-Mar-2013
https://dl.acm.org/doi/10.1145/2480362.2480437
Zink M(2013)ReferencesScalable Video on Demand10.1002/9780470022702.refs(233-244)Online publication date: 16-Aug-2013
https://doi.org/10.1002/9780470022702.refs
Cai ZGavrilovska AAgarwala SEisenhauer GCooper BWidener PLofstead JKumar VWolf MSeshasayee BAbbasi HSchwan KMansour M(2009)AutoFlowAutonomic Computing10.1201/9781420009354.ch14(275-303)Online publication date: 18-Nov-2009
https://doi.org/10.1201/9781420009354.ch14
Kumar VCooper BCai ZEisenhauer GSchwan K(2007)Middleware for enterprise scale data stream management using utility-driven self-adaptive information flowsCluster Computing10.1007/s10586-007-0040-910:4(443-455)Online publication date: 1-Dec-2007
https://dl.acm.org/doi/10.1007/s10586-007-0040-9
Amini LAndrade HBhagwan REskesen FKing RSelo PPark YVenkatramani C(2006)SPCProceedings of the 4th international workshop on Data mining standards, services and platforms10.1145/1289612.1289615(27-37)Online publication date: 20-Aug-2006
https://dl.acm.org/doi/10.1145/1289612.1289615
Khorlin AChandy K(2006)Control-Based Scheduling in a Distributed Stream Processing SystemProceedings of the IEEE Services Computing Workshops10.1109/SCW.2006.8(55-64)Online publication date: 18-Sep-2006
https://dl.acm.org/doi/10.1109/SCW.2006.8
Amini LJain NSehgal ASilber JVerscheure O(2006)Adaptive Control of Extreme-scale Stream Processing SystemsProceedings of the 26th IEEE International Conference on Distributed Computing Systems10.1109/ICDCS.2006.13Online publication date: 4-Jul-2006
https://dl.acm.org/doi/10.1109/ICDCS.2006.13
Murphy-Hill ELin CBlack AWalpole JJohnson RGabriel R(2005)Can infopipes facilitate reuse in a traffic application?Companion to the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications10.1145/1094855.1094883(100-101)Online publication date: 16-Oct-2005
https://dl.acm.org/doi/10.1145/1094855.1094883
Kumar VCooper BCai ZEisenhauer GSchwan K(2005)Resource-Aware Distributed Stream Management Using Dynamic OverlaysProceedings of the 25th IEEE International Conference on Distributed Computing Systems10.1109/ICDCS.2005.69(783-792)Online publication date: 6-Jun-2005
https://dl.acm.org/doi/10.1109/ICDCS.2005.69
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