Self-Stabilizing Task Allocation In Spite of Noise-Reference-Cited by-同舟云学术

Self-Stabilizing Task Allocation In Spite of Noise

Published:2020-07-06 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures
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Author:

Dornhaus Anna¹,Lynch Nancy²,Mallmann-Trenn Frederik³,Pajak Dominik⁴,Radeva Tsvetomira²

Affiliation:

1. University of Arizona, Tuscon, AZ, USA

2. Massachusetts Institute of Technology, Cambridge, MA, USA

3. King's College London, London, United Kingdom

4. Wroclaw University of Science and Technology, Wroclaw, Poland

Funder

Narodowe Centrum Nauki

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3350755.3400226

Reference30 articles.

1. Distributed algorithms for QoS load balancing

2. Threshold load balancing with weighted tasks

3. Samuel N. Beshers and Jennifer H. Fewell. 2001. Models of division of labor in social insects. Annual review of entomology Vol. 46 1 (2001) 413--440. Samuel N. Beshers and Jennifer H. Fewell. 2001. Models of division of labor in social insects. Annual review of entomology Vol. 46 1 (2001) 413--440.

4. Prassede Calabi. 1988. Behavioral flexibility in Hymenoptera: a re-examination of the concept of caste. Advances in myrmecology (1988) 237--258. Prassede Calabi. 1988. Behavioral flexibility in Hymenoptera: a re-examination of the concept of caste. Advances in myrmecology (1988) 237--258.

5. When doing nothing is something. How task allocation strategies compromise between flexibility, efficiency, and inactive agents

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