Publications

A. Ferragut, D. Goldsztajn, F. Paganini. The last, the least, and the urgent: Fluid modeling and performance equivalence for scheduling policies in partial service queues with abandonment. Performance Evaluation (2025).

Preprint - Journal 

D. Goldsztajn, S.C. Borst, J.S.H. van Leeuwaarden. Fluid limits for interacting queues in sparse dynamic graphs. Stochastic Processes and their Applications (2025).

Preprint - Journal 

K. Avrachenkov, D. Goldsztajn. Semi-supervised community detection using Glauber dynamics for an Ising model. In arXiv preprint arXiv:2506.09223 (2025).

Preprint

D. Goldsztajn, A. Ferragut. Geometric lower bounds for the steady-state occupancy of processing networks with limited connectivity. In arXiv preprint arXiv:2505.08974 (2025).

Preprint

F. Paganini, D. Goldsztajn. Dynamic load balancing for cloud systems under heterogeneous setup delays. Accepted at 2025 IEEE 64th Conference on Decision and Control (CDC).

Preprint

D. Goldsztajn, K. Avrachenkov. Asymptotically optimal policies for weakly coupled Markov decision processes. In arXiv preprint arXiv:2406.04751 (2024).

Preprint

D. Goldsztajn, S.C. Borst, J.S.H. van Leeuwaarden. Server saturation in skewed networks. SIGMETRICS - Proc. of the ACM on Measurement and Analysis of Computing Systems (2024).

Preprint - Journal 

D. Goldsztajn, S.C. Borst, J.S.H. van Leeuwaarden. Learning and balancing unknown loads in large-scale systems. Mathematics of Operations Research (2024).

Preprint - Journal

D. Goldsztajn, S.C. Borst, J.S.H. van Leeuwaarden. Utility maximizing load balancing policies. Stochastic Systems (2022).

Preprint - Journal

D. Goldsztajn, S.C. Borst, J.S.H. van Leeuwaarden, D. Mukherjee, P.A. Whiting. Self-learning threshold-based load balancing. INFORMS Journal on Computing (2021).

Preprint - Journal 

D. Goldsztajn, A. Ferragut, F. Paganini. Automatic cloud instance provisioning with quality and efficiency. Performance Evaluation (2021).

Preprint - Journal 

D. Goldsztajn, F. Paganini. Proximal regularization for the saddle point gradient dynamics. IEEE Transactions on Automatic Control (2020).

Preprint -  Journal 

D. Goldsztajn, F. Paganini, A. Ferragut. Proximal optimization for resource allocation in distributed computing systems with data locality. In 2019 57th annual Allerton Conference on Communication, Control and Computing (Allerton)

Preprint - Proceedings 

F. Paganini, D. Goldsztajn, A. Ferragut. An optimization approach to load balancing, scheduling and right sizing of cloud computing systems with data locality. In 2019 IEEE 58th Conference on Decision and Control (CDC).

Preprint -  Proceedings 

D. Goldsztajn, A. Ferragut, F. Paganini. Feedback control of server instances for right sizing in the cloud. In 2018 56th annual Allerton Conference on Communication, Control and Computing (Allerton).

Preprint - Proceedings 

D. Goldsztajn, A. Ferragut, F. Paganini, M. Jonckheere. Controlling the number of active instances in a cloud environment. ACM SIGMETRICS Performance Evaluation Review (2018).

Preprint - Proceedings 

D. Goldsztajn, A. Ferragut, F. Paganini. A feedback control approach to dynamic speed scaling in computing systems. In 2017 51st annual Conference on Information Sciences and Systems (CISS).

Preprint - Proceedings