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The wakeup problem in synchronous broadcast systems (extended abstract)
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Source Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing table of contents
Portland, Oregon, United States
Pages: 113 - 121  
Year of Publication: 2000
ISBN:1-58113-183-6
Authors
Leszek Gąsieniec  Department of Computer Science, The University of Liverpool, Liverpool L69 7ZF, United Kingdom
Andrzej Pelc  Département d'Informatique, Université du Québec à Hull, Hull, Québec J8X 3X7, Canada
David Peleg  Department of Computer Science, The Weizmann Institute, Rehovot 76100, Israel
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 22,   Citation Count: 8
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ABSTRACT

This paper studies the differences between two levels of synchronization in a distributed broadcast system (or a multiple access channel). In the globally synchronous model, all processors have access to a global clock. In the locally synchronous model, processors have local clocks ticking at the same rate, but each clock starts individually, when the processor wakes up. We consider the fundamental problem of waking up all of n processors of a completely connected broadcast system. Some processors wake up spontaneously, while others have to be woken up. Only wake processors can send messages; a sleeping processor is woken up upon hearing a message. The processors hear a message in a given round if and only if exactly one processor sends a message in that round. Our goal is to wake up all processors as fast as possible in the worst case, assuming an adversary controls which processors wake up and when. We analyze the problem in both the globally synchronous and locally synchronous models, with or without the assumption that n is known to the processors. We propose randomized and deterministic algorithms for the problem, as well as lower bounds in some of the cases. These bounds establish a gap between the globally synchronous and locally synchronous models.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  8
 
 
 

Collaborative Colleagues:
Leszek Gąsieniec: colleagues
Andrzej Pelc: colleagues
David Peleg: colleagues

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