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International Conference on Distributed Computing and Networking

ICDCN 2011: Distributed Computing and Networking pp 53–64Cite as

An Efficient Decentralized Algorithm for the Distributed Trigger Counting Problem

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6522))

Abstract

Consider a distributed system with n processors, in which each processor receives some triggers from an external source. The distributed trigger counting problem is to raise an alert and report to a user when the number of triggers received by the system reaches w, where w is a user-specified input. The problem has applications in monitoring, global snapshots, synchronizers and other distributed settings. The main result of the paper is a decentralized and randomized algorithm with expected message complexity O(nlogn logw). Moreover, every processor in this algorithm receives no more than O(logn logw) messages with high probability. All the earlier algorithms for this problem have maximum message load of Ω(n logw).

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Author information

Authors and Affiliations

  1. IBM Research, India, New Delhi

    Venkatesan T. Chakaravarthy, Anamitra R. Choudhury & Yogish Sabharwal

  2. University of Texas at Austin, USA

    Vijay K. Garg

Authors
  1. Venkatesan T. Chakaravarthy
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  2. Anamitra R. Choudhury
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  3. Vijay K. Garg
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  4. Yogish Sabharwal
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Editor information

Editors and Affiliations

  1. Microsoft Research Silicon Valley, 1065 La Avenida – bldg. 6, 94043, Mountain View, CA, USA

    Marcos K. Aguilera

  2. School of Computing, National University of Singapore, COM2-04-25, 15 Computing Drive, 117418, Republic of Singapore

    Haifeng Yu

  3. 458 Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, MC-228, 1308 West Main Street, 61801, Urbana, IL, USA

    Nitin H. Vaidya

  4. Alcatel-Lucent Technologies, Manyata Technology Park, Nagawara, 560045, Bangalore, India

    Vikram Srinivasan

  5. ECE Department, Duke University, 130 Hudson Hall, Box 90291, 27708, Durham, NC, USA

    Romit Roy Choudhury

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© 2011 Springer-Verlag Berlin Heidelberg

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Chakaravarthy, V.T., Choudhury, A.R., Garg, V.K., Sabharwal, Y. (2011). An Efficient Decentralized Algorithm for the Distributed Trigger Counting Problem. In: Aguilera, M.K., Yu, H., Vaidya, N.H., Srinivasan, V., Choudhury, R.R. (eds) Distributed Computing and Networking. ICDCN 2011. Lecture Notes in Computer Science, vol 6522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17679-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-17679-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17678-4

  • Online ISBN: 978-3-642-17679-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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