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Author Alimguzhin, V.; Mari, F.; Melatti, I.; Tronci, E.; Ebeid, E.; Mikkelsen, S.A.; Jacobsen, R.H.; Gruber, J.K.; Hayes, B.; Huerta, F.; Prodanovic, M.
Title (up) A Glimpse of SmartHG Project Test-bed and Communication Infrastructure Type Conference Article
Year 2015 Publication Digital System Design (DSD), 2015 Euromicro Conference on Abbreviated Journal
Volume Issue Pages 225-232
Keywords Batteries; Control systems; Databases; Production; Sensors; Servers; Smart grids; Grid State Estimation; Peak Shaving; Policy Robustness Verification; Price Policy Synthesis
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Call Number Sapienza @ preissler @ Alimguzhin_etal2015 Serial 127
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Author Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title (up) A Map-Reduce Parallel Approach to Automatic Synthesis of Control Software Type Conference Article
Year 2013 Publication Proc. of International SPIN Symposium on Model Checking of Software (SPIN 2013) Abbreviated Journal International SPIN Symposium on Model Checking of Software
Volume Issue Pages 43-60
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Publisher Springer - Verlag Place of Publication Editor
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Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title
Series Volume 7976 Series Issue Edition
ISSN 0302-9743 ISBN 978-3-642-39175-0 Medium
Area Expedition Conference
Notes Approved no
Call Number Sapienza @ melatti @ Serial 112
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Author Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
Title (up) A Map-Reduce Parallel Approach to Automatic Synthesis of Control Software Type Report
Year 2012 Publication Abbreviated Journal
Volume abs/1210.2276 Issue Pages
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Abstract Many Control Systems are indeed Software Based Control Systems, i.e. control systems whose controller consists of control software running on a microcontroller device. This motivates investigation on Formal Model Based Design approaches for automatic synthesis of control software.
Available algorithms and tools (e.g., QKS) may require weeks or even months of computation to synthesize control software for large-size systems. This motivates search for parallel algorithms for control software synthesis.
In this paper, we present a map-reduce style parallel algorithm for control software synthesis when the controlled system (plant) is modeled as discrete time linear hybrid system. Furthermore we present an MPI-based implementation PQKS of our algorithm. To the best of our knowledge, this is the first parallel approach for control software synthesis.
We experimentally show effectiveness of PQKS on two classical control synthesis problems: the inverted pendulum and the multi-input buck DC/DC converter. Experiments show that PQKS efficiency is above 65%. As an example, PQKS requires about 16 hours to complete the synthesis of control software for the pendulum on a cluster with 60 processors, instead of the 25 days needed by the sequential algorithm in QKS.
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Publisher CoRR, Technical Report Place of Publication Editor
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Notes Approved yes
Call Number Sapienza @ mari @ Serial 101
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Author Mari, Federico; Melatti, Igor; Tronci, Enrico; Finzi, Alberto
Title (up) A multi-hop advertising discovery and delivering protocol for multi administrative domain MANET Type Journal Article
Year 2013 Publication Mobile Information Systems Abbreviated Journal Mobile Information Systems
Volume 3 Issue 9 Pages 261-280
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Publisher IOS Press Place of Publication Editor
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ISSN 1574-017x (Print) 1875-905X (Online) ISBN Medium
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Notes Approved no
Call Number Sapienza @ melatti @ Serial 109
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Author Tronci, Enrico; Della Penna, Giuseppe; Intrigila, Benedetto; Venturini Zilli, Marisa
Title (up) A Probabilistic Approach to Automatic Verification of Concurrent Systems Type Conference Article
Year 2001 Publication 8th Asia-Pacific Software Engineering Conference (APSEC) Abbreviated Journal
Volume Issue Pages 317-324
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Abstract The main barrier to automatic verification of concurrent systems is the huge amount of memory required to complete the verification task (state explosion). In this paper we present a probabilistic algorithm for automatic verification via model checking. Our algorithm trades space with time. In particular, when memory is full because of state explosion our algorithm does not give up verification. Instead it just proceeds at a lower speed and its results will only hold with some arbitrarily small error probability. Our preliminary experimental results show that by using our probabilistic algorithm we can typically save more than 30% of RAM with an average time penalty of about 100% w.r.t. a deterministic state space exploration with enough memory to complete the verification task. This is better than giving up the verification task because of lack of memory.
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Publisher IEEE Computer Society Place of Publication Macau, China Editor
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ISSN 0-7695-1408-1 ISBN Medium
Area Expedition Conference
Notes Approved yes
Call Number Sapienza @ mari @ apsec01 Serial 43
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Author Melatti, I.; Mari, F.; Mancini, T.; Prodanovic, M.; Tronci, E.
Title (up) A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries Type Journal Article
Year 2021 Publication IEEE Transactions on Industrial Electronics Abbreviated Journal
Volume Issue Pages 1-1
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Abstract Within electrical distribution networks, substation constraints management requires that aggregated power demand from residential users is kept within suitable bounds. Efficiency of substation constraints management can be measured as the reduction of constraints violations w.r.t. unmanaged demand. Home batteries hold the promise of enabling efficient and user-oblivious substation constraints management. Centralized control of home batteries would achieve optimal efficiency. However, it is hardly acceptable by users, since service providers (e.g., utilities or aggregators) would directly control batteries at user premises. Unfortunately, devising efficient hierarchical control strategies, thus overcoming the above problem, is far from easy. We present a novel two-layer control strategy for home batteries that avoids direct control of home devices by the service provider and at the same time yields near-optimal substation constraints management efficiency. Our simulation results on field data from 62 households in Denmark show that the substation constraints management efficiency achieved with our approach is at least 82% of the one obtained with a theoretical optimal centralized strategy.
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Notes To appear Approved no
Call Number MCLab @ davi @ ref9513535 Serial 190
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Author Barbanera, Franco; Dezani-Ciancaglini, Mariangiola; Salvo, Ivano; Sassone, Vladimiro
Title (up) A Type Inference Algorithm for Secure Ambients Type Journal Article
Year 2002 Publication Electronic Notes in Theoretical Computer Science Abbreviated Journal
Volume 62 Issue Pages 83-101
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Abstract We consider a type discipline for the Ambient Calculus that associates ambients with security levels and constrains them to be traversed by or opened in ambients of higher security clearance only. We present a bottom-up algorithm that, given an untyped process P, computes a minimal set of constraints on security levels such that all actions during runs of P are performed without violating the security level priorities. Such an algorithm appears to be a prerequisite to use type systems to ensure security properties in the web scenario.
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Publisher Elsevier Place of Publication Editor
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Notes TOSCA 2001, Theory of Concurrency, Higher Order Languages and Types Approved yes
Call Number Sapienza @ mari @ Barbanera-Dezani-Salvo-Sassone:01 Serial 73
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.
Title (up) An Efficient Algorithm for Network Vulnerability Analysis Under Malicious Attacks Type Conference Article
Year 2018 Publication Foundations of Intelligent Systems – 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings Abbreviated Journal
Volume Issue Pages 302-312
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Notes Best Paper Approved no
Call Number MCLab @ davi @ DBLP:conf/ismis/ManciniMMST18 Serial 176
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Author Ehrig, R.; Dierkes, T.; Schaefer, S.; Roeblitz, S.; Tronci, E.; Mancini, T.; Salvo, I.; Alimguzhin, V.; Mari, F.; Melatti, I.; Massini, A.; Leeners, B.; Krueger, T.H.C.; Egli, M.; Ille, F.
Title (up) An integrative approach for model driven computation of treatments in reproductive medicine Type Conference Article
Year 2015 Publication Proceedings of the 15th International Symposium on Mathematical and Computational Biology (BIOMAT 2015), Rorkee, India Abbreviated Journal
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Notes Approved no
Call Number Sapienza @ preissler @ Ehrig_etal2015 Serial 144
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E.
Title (up) Anytime system level verification via parallel random exhaustive hardware in the loop simulation Type Journal Article
Year 2016 Publication Microprocessors and Microsystems Abbreviated Journal
Volume 41 Issue Pages 12-28
Keywords Model Checking of Hybrid Systems; Model checking driven simulation; Hardware in the loop simulation
Abstract Abstract System level verification of cyber-physical systems has the goal of verifying that the whole (i.e., software + hardware) system meets the given specifications. Model checkers for hybrid systems cannot handle system level verification of actual systems. Thus, Hardware In the Loop Simulation (HILS) is currently the main workhorse for system level verification. By using model checking driven exhaustive HILS, System Level Formal Verification (SLFV) can be effectively carried out for actual systems. We present a parallel random exhaustive HILS based model checker for hybrid systems that, by simulating all operational scenarios exactly once in a uniform random order, is able to provide, at any time during the verification process, an upper bound to the probability that the System Under Verification exhibits an error in a yet-to-be-simulated scenario (Omission Probability). We show effectiveness of the proposed approach by presenting experimental results on SLFV of the Inverted Pendulum on a Cart and the Fuel Control System examples in the Simulink distribution. To the best of our knowledge, no previously published model checker can exhaustively verify hybrid systems of such a size and provide at any time an upper bound to the Omission Probability.
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ISSN 0141-9331 ISBN Medium
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Notes Approved no
Call Number MCLab @ davi @ Mancini201612 Serial 155
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