An optimal policy for a two depot inventory problem with stock transfer
Management Science
Efficient, distributed data placement strategies for storage area networks (extended abstract)
Proceedings of the twelfth annual ACM symposium on Parallel algorithms and architectures
Replication Methods for Load Balancing on Distributed Storages in P2P Networks
SAINT '05 Proceedings of the The 2005 Symposium on Applications and the Internet
Dynamic storage load balancing with analogy to thermal diffusion for P2P file sharing
Interperf '06 Proceedings from the 2006 workshop on Interdisciplinary systems approach in performance evaluation and design of computer & communications sytems
Brief paper: Distributed nonlinear control algorithms for network consensus
Automatica (Journal of IFAC)
MetaCDN: Harnessing 'Storage Clouds' for high performance content delivery
Journal of Network and Computer Applications
Set-Theoretic Methods in Control
Set-Theoretic Methods in Control
Agent-based micro-storage management for the Smart Grid
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Algorithmic mechanism design for load balancing in distributed systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper studies the control of distributed storage networks with guarantees of constraints satisfaction and asymptotic stability. We consider two problems: network capacity maximization and network balancing. In the first part of the paper we describe the two problems, highlight their importance in a wide number of engineering applications, and compare them by analyzing the properties of their solutions. In the second part we present algorithms for solving both problems by using a convex one-step model predictive controller (MPC) which guarantees persistent state and flow constraints satisfaction. We present simple conditions which link the network topology, the MPC weights and the asymptotic stability of the closed-loop system. A numerical example illustrates the effectiveness of the proposed approach.