Swarm intelligence
On balancing the load in a clustered web farm
ACM Transactions on Internet Technology (TOIT)
On Load Balancing for Distributed Multiagent Computing
IEEE Transactions on Parallel and Distributed Systems
Adaptive Core Selection and Migration Method for Multicast Routing in Mobile Ad Hoc Networks
IEEE Transactions on Parallel and Distributed Systems
Improved Ant-Based Clustering and Sorting
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Ant Colony Optimization
Service Migration in Distributed Virtual Machines for Adaptive Grid Computing
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Quorum sensing on mobile ad-hoc networks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
SLA based resource allocation policies in autonomic environments
Journal of Parallel and Distributed Computing
Autonomic system management in mobile grid environments
ACSW '07 Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68
Application service placement in stochastic grid environments using learning and ant-based methods
Multiagent and Grid Systems - Special Issue on Nature inspired systems for parallel, asynchronous and decentralised environments
Foraging for Better Deployment of Replicated Service Components
DAIS '09 Proceedings of the 9th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems
Adaptive load balancing: a study in multi-agent learning
Journal of Artificial Intelligence Research
Messor: load-balancing through a swarm of autonomous agents
AP2PC'02 Proceedings of the 1st international conference on Agents and peer-to-peer computing
Automatic verification of competitive stochastic systems
TACAS'12 Proceedings of the 18th international conference on Tools and Algorithms for the Construction and Analysis of Systems
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In this article, we present a collective decision-making framework inspired by biological swarms and capable of supporting the emergence of a consensus within a population of agents in the absence of environment-mediated communication (stigmergy). Instead, amplification is the result of the variation of a confidence index, stored in individual memory and providing each agent with a statistical estimate of the current popularity of its preferred choice within the whole population. We explore the fundamental properties of our framework using a combination of analytical and numerical methods. We then use Monte Carlo simulation to investigate its applicability to host selection in the presence of multiple alternatives, a problem found in application migration scenarios. The advantages of self-organization and the use of statistically predictive methods in this context are also discussed.