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| Content Provider | ACM Digital Library |
|---|---|
| Author | Liss, Liran Birk, Yitzhak Schuster, Assaf Wolff, Ran Keidar, Idit |
| Abstract | This paper focuses on local computations of distributed aggregation problems on fixed graphs. We define a new metric on problem instances, Veracity Radius (VR), which captures the inherent possibility to compute them locally. We prove that VR yields a tight lower bound on output-stabilization time, i.e., the time until all nodes fix their outputs, as well as a lower bound on quiescence time. We present an efficient aggregation algorithm, I-LEAG, which reaches both output stabilization and quiescence within a time that is proportional to the VR of the problem instance, and is also efficient in terms of per-node communication and memory. We empirically show that the VR metric also effectively captures the performance of previously suggested efficient aggregation protocols, and that I-LEAG significantly outperforms these protocols in several respects. |
| Starting Page | 102 |
| Ending Page | 111 |
| Page Count | 10 |
| File Format | |
| ISBN | 1595933840 |
| DOI | 10.1145/1146381.1146399 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-07-23 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Aggregation Locality |
| Content Type | Text |
| Resource Type | Article |
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