Recent Publications

This page includes a selected list of DAMON group publications since 2015.

[1]	Pasqua D'Ambra, Fabio Durastante, and Salvatore Filippone. AMG preconditioners for linear solvers towards extreme scale. CoRR, abs/2006.16147, 2020. [ arXiv | http ]
[2]	Pasqua D'Ambra, Fabio Durastante, and Salvatore Filippone. On the quality of matching-based aggregates for algebraic coarsening of SPD matrices in AMG. CoRR, abs/2001.09969, 2020. [ arXiv | http ]
[3]	Vittoria de Nitto Persone. Teaching performance modeling in the era of millennials. CoRR, abs/2001.08949, 2020. [ arXiv | http ]
[4]	Mauro Caporuscio, Mirko D'Angelo, Vincenzo Grassi, and Raffaela Mirandola. Decentralized architecture for energy-aware service assembly. In Anton Jansen, Ivano Malavolta, Henry Muccini, Ipek Ozkaya, and Olaf Zimmermann, editors, Software Architecture - 14th European Conference, ECSA 2020, L'Aquila, Italy, September 14-18, 2020, Proceedings, volume 12292 of Lecture Notes in Computer Science, pages 57--72. Springer, 2020. [ DOI | http ]
[5]	Mirko D'Angelo, Mauro Caporuscio, Vincenzo Grassi, and Raffaela Mirandola. Decentralized learning for self-adaptive qos-aware service assembly. Future Gener. Comput. Syst., 108:210--227, 2020. [ DOI | http ]
[6]	Fabiana Rossi, Valeria Cardellini, and Francesco Lo Presti. Self-adaptive threshold-based policy for microservices elasticity. In 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2020, Nice, France, November 17-19, 2020, pages 1--8. IEEE, 2020. [ DOI | http ]
[7]	Giovanni Bembo and Francesco Lo Presti. Self-balanced ipv4-ipv6 lossless translators with dynamic addresses mapping. In Leonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, and Makoto Takizawa, editors, Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA-2020, Caserta, Italy, 15-17 April, volume 1151 of Advances in Intelligent Systems and Computing, pages 71--84. Springer, 2020. [ DOI | http ]
[8]	Fabiana Rossi, Valeria Cardellini, and Francesco Lo Presti. Hierarchical scaling of microservices in kubernetes. In IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2020, Washington, DC, USA, August 17-21, 2020, pages 28--37. IEEE, 2020. [ DOI | http ]
[9]	Valeria Cardellini, Valerio Di Valerio, and Francesco Lo Presti. Game-theoretic resource pricing and provisioning strategies in cloud systems. IEEE Trans. Serv. Comput., 13(1):86--98, 2020. [ DOI | http ]
[10]	Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti, and Matteo Nardelli. Geo-distributed efficient deployment of containers with kubernetes. Comput. Commun., 159:161--174, 2020. [ DOI | http ]
[11]	Giacomo Belocchi, Valeria Cardellini, Aniello Cammarano, and Giuseppe Bianchi. Paxos in the NIC: hardware acceleration of distributed consensus protocols. In 16th International Conference on the Design of Reliable Communication Networks, DRCN 2020, Milano, Italy, March 25-27, 2020, pages 1--6. IEEE, 2020. [ DOI | http ]
[12]	Marco Aldinucci, Valeria Cardellini, Gabriele Mencagli, and Massimo Torquati. Data stream processing in HPC systems: New frameworks and architectures for high-frequency streaming. Parallel Comput., 98:102694, 2020. [ DOI | http ]
[13]	Stefano Iannucci, Valeria Cardellini, Ovidiu Daniel Barba, and Ioana Banicescu. A hybrid model-free approach for the near-optimal intrusion response control of non-stationary systems. Future Gener. Comput. Syst., 109:111--124, 2020. [ DOI | http ]
[14]	Ambra Abdullahi Hassan, Valeria Cardellini, Pasqua D'Ambra, Daniela di Serafino, and Salvatore Filippone. Efficient algebraic multigrid preconditioners on clusters of gpus. Parallel Process. Lett., 29(1):1950001:1--1950001:15, 2019. [ DOI | http ]
[15]	Vittoria de Nitto Persone and Vincenzo Grassi. Architectural issues for self-adaptive service migration management in mobile edge computing scenarios. In Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, and Katsunori Oyama, editors, 3rd IEEE International Conference on Edge Computing, EDGE 2019, Milan, Italy, July 8-13, 2019, pages 27--29. IEEE, 2019. [ DOI | http ]
[16]	Vittoria de Nitto Persone and Andrea Di Lonardo. Approximating finite resources: An approach based on MVA. Perform. Evaluation, 131:1--21, 2019. [ DOI | http ] [ pdf ]
[17]	Danny Weyns, Nelly Bencomo, Radu Calinescu, Javier Cámara, Carlo Ghezzi, Vincenzo Grassi, Lars Grunske, Paola Inverardi, Jean-Marc Jézéquel, Sam Malek, Raffaela Mirandola, Marco Mori, and Giordano Tamburrelli. Perpetual assurances for self-adaptive systems. CoRR, abs/1903.04771, 2019. [ arXiv | http ]
[18]	Jesper Andersson, Vincenzo Grassi, Raffaela Mirandola, and Diego Perez-Palacin. A distilled characterization of resilience and its embraced properties based on state-spaces. In Radu Calinescu and Felicita Di Giandomenico, editors, Software Engineering for Resilient Systems - 11th International Workshop, SERENE 2019, Naples, Italy, September 17, 2019, Proceedings, volume 11732 of Lecture Notes in Computer Science, pages 11--25. Springer, 2019. [ DOI | http ]
[19]	Matteo Nardelli, Valeria Cardellini, Vincenzo Grassi, and Francesco Lo Presti. Efficient operator placement for distributed data stream processing applications. IEEE Trans. Parallel Distributed Syst., 30(8):1753--1767, 2019. [ DOI | http ] [ pdf ]
[20]	Francesco Bianchi and Francesco Lo Presti. A comparison of markov reward based resource-latency aware heuristics for the virtual network embedding problem. In Antonio Puliafito and Kishor S. Trivedi, editors, Systems Modeling: Methodologies and Tools, pages 135--149. Springer, 2019. [ DOI | http ]
[21]	Fabiana Rossi, Valeria Cardellini, and Francesco Lo Presti. Elastic deployment of software containers in geo-distributed computing environments. In 2019 IEEE Symposium on Computers and Communications, ISCC 2019, Barcelona, Spain, June 29 - July 3, 2019, pages 1--7. IEEE, 2019. [ DOI | http ]
[22]	Gabriele Russo Russo, Valeria Cardellini, and Francesco Lo Presti. Reinforcement learning based policies for elastic stream processing on heterogeneous resources. In Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, DEBS 2019, Darmstadt, Germany, June 24-28, 2019, pages 31--42. ACM, 2019. [ DOI | http ]
[23]	Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, and Fabiana Rossi. Self-adaptive container deployment in the fog: A survey. In Ivona Brandic, Thiago A. L. Genez, Ilia Pietri, and Rizos Sakellariou, editors, Algorithmic Aspects of Cloud Computing - 5th International Symposium, ALGOCLOUD 2019, Munich, Germany, September 10, 2019, Revised Selected Papers, volume 12041 of Lecture Notes in Computer Science, pages 77--102. Springer, 2019. [ DOI | http ]
[24]	Valerio Di Valerio, Francesco Lo Presti, Chiara Petrioli, Luigi Picari, Daniele Spaccini, and Stefano Basagni. CARMA: channel-aware reinforcement learning-based multi-path adaptive routing for underwater wireless sensor networks. IEEE J. Sel. Areas Commun., 37(11):2634--2647, 2019. [ DOI | http ]
[25]	Stefano Iannucci, Ovidiu Daniel Barba, Valeria Cardellini, and Ioana Banicescu. A performance evaluation of deep reinforcement learning for model-based intrusion response. In IEEE 4th International Workshops on Foundations and Applications of Self* Systems, FAS*W@SASO/ICCAC 2019, Umea, Sweden, June 16-20, 2019, pages 158--163. IEEE, 2019. [ DOI | http ]
[26]	Fabiana Rossi, Matteo Nardelli, and Valeria Cardellini. Horizontal and vertical scaling of container-based applications using reinforcement learning. In Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, and Katsunori Oyama, editors, 12th IEEE International Conference on Cloud Computing, CLOUD 2019, Milan, Italy, July 8-13, 2019, pages 329--338. IEEE, 2019. [ DOI | http ]
[27]	Valeria Cardellini, Gabriele Mencagli, Domenico Talia, and Massimo Torquati. New landscapes of the data stream processing in the era of fog computing. Future Gener. Comput. Syst., 99:646--650, 2019. [ DOI | http ]
[28]	Pasqua D'Ambra, Salvatore Filippone, and Panayot S. Vassilevski. Bootcmatch: A software package for bootstrap AMG based on graph weighted matching. ACM Trans. Math. Softw., 44(4):39:1--39:25, 2018. [ DOI | http ]
[29]	Valeria Cardellini, Tihana Galinac Grbac, Andreas Kassler, Pradeeban Kathiravelu, Francesco Lo Presti, Antonio Marotta, Matteo Nardelli, and Luís Veiga. Integrating SDN and NFV with qos-aware service composition. In Ivan Ganchev, Robert D. van der Mei, and Hans van den Berg, editors, Autonomous Control for a Reliable Internet of Services - Methods, Models, Approaches, Techniques, Algorithms, and Tools, volume 10768 of Lecture Notes in Computer Science, pages 212--240. Springer, 2018. [ DOI | http ]
[30]	Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini, and Francesco Lo Presti. A multi-level elasticity framework for distributed data stream processing. In Gabriele Mencagli, Dora B. Heras, Valeria Cardellini, Emiliano Casalicchio, Emmanuel Jeannot, Felix Wolf, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Laura Ricci, Marco Beccuti, Laura Antonelli, José Daniel García Sánchez, and Stephen L. Scott, editors, Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers, volume 11339 of Lecture Notes in Computer Science, pages 53--64. Springer, 2018. [ DOI | http ]
[31]	Stefano Salsano, Fabio Patriarca, Francesco Lo Presti, Pier Luigi Ventre, and Valerio Maria Gentile. Accurate and efficient measurements of IP level performance to drive interface selection in heterogeneous wireless networks. IEEE Trans. Mob. Comput., 17(10):2223--2235, 2018. [ DOI | http ]
[32]	Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, and Gabriele Russo Russo. Decentralized self-adaptation for elastic data stream processing. Future Gener. Comput. Syst., 87:171--185, 2018. [ DOI | http ] [ pdf ]
[33]	Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, and Gabriele Russo Russo. Optimal operator deployment and replication for elastic distributed data stream processing. Concurr. Comput. Pract. Exp., 30(9), 2018. [ DOI | http ]
[34]	Gabriele Russo Russo, Matteo Nardelli, Valeria Cardellini, and Francesco Lo Presti. Multi-level elasticity for wide-area data streaming systems: A reinforcement learning approach. Algorithms, 11(9):134, 2018. [ DOI | http ]
[35]	Valeria Cardellini, Tihana Galinac Grbac, Matteo Nardelli, Nikola Tankovic, and Hong Linh Truong. Qos-based elasticity for service chains in distributed edge cloud environments. In Ivan Ganchev, Robert D. van der Mei, and Hans van den Berg, editors, Autonomous Control for a Reliable Internet of Services - Methods, Models, Approaches, Techniques, Algorithms, and Tools, volume 10768 of Lecture Notes in Computer Science, pages 182--211. Springer, 2018. [ DOI | http ]
[36]	Matteo Nardelli, Valeria Cardellini, and Emiliano Casalicchio. Multi-level elastic deployment of containerized applications in geo-distributed environments. In Muhammad Younas and Jules Pagna Disso, editors, 6th IEEE International Conference on Future Internet of Things and Cloud, FiCloud 2018, Barcelona, Spain, August 6-8, 2018, pages 1--8. IEEE Computer Society, 2018. [ DOI | http ]
[37]	Emiliano Casalicchio, Valeria Cardellini, Gianluca Interino, and Monica Palmirani. Research challenges in legal-rule and qos-aware cloud service brokerage. Future Gener. Comput. Syst., 78:211--223, 2018. [ DOI | http ] [ pdf ]
[38]	Ambra Abdullahi Hassan, Valeria Cardellini, and Salvatore Filippone. A framework for unit testing with coarray fortran. In Lukás Polok, Masha Sosonkina, William I. Thacker, and Josef Weinbub, editors, Proceedings of the 25th High Performance Computing Symposium, Virginia Beach, VA, USA, April 23 - 26, 2017, pages 5:1--5:12. ACM, 2017. [ http ]
[39]	Ambra Abdullahi Hassan, Valeria Cardellini, and Salvatore Filippone. Solving sparse linear systems of equations using fortran coarrays. In Sanzio Bassini, Marco Danelutto, Patrizio Dazzi, Gerhard R. Joubert, and Frans J. Peters, editors, Parallel Computing is Everywhere, Proceedings of the International Conference on Parallel Computing, ParCo 2017, 12-15 September 2017, Bologna, Italy, volume 32 of Advances in Parallel Computing, pages 87--96. IOS Press, 2017. [ DOI | http ]
[40]	Ambra Abdullahi, Pasqua D'Ambra, Daniela di Serafino, and Salvatore Filippone. Parallel aggregation based on compatible weighted matching for AMG. In Ivan Lirkov and Svetozar Margenov, editors, Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Sozopol, Bulgaria, June 5-9, 2017, Revised Selected Papers, volume 10665 of Lecture Notes in Computer Science, pages 563--571. Springer, 2017. [ DOI | http ]
[41]	Salvatore Filippone, Valeria Cardellini, Davide Barbieri, and Alessandro Fanfarillo. Sparse matrix-vector multiplication on gpgpus. ACM Trans. Math. Softw., 43(4):30:1--30:49, 2017. [ DOI | http ]
[42]	Valeria Cardellini, Alessandro Fanfarillo, and Salvatore Filippone. Coarray-based load balancing on heterogeneous and many-core architectures. Parallel Comput., 68:45--58, 2017. [ DOI | http ]
[43]	Vittoria de Nitto Persone. Teaching performance modeling in the era of 140characters Information. In Walter Binder, Vittorio Cortellessa, Anne Koziolek, Evgenia Smirni, and Meikel Poess, editors, Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, ICPE 2017, L'Aquila, Italy, April 22-26, 2017, pages 183--184. ACM, 2017. [ DOI | http ]
[44]	Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, and Matteo Nardelli. Optimal operator replication and placement for distributed stream processing systems. SIGMETRICS Perform. Evaluation Rev., 44(4):11--22, 2017. [ DOI | http ] [ pdf ]
[45]	Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, and Gabriele Russo Russo. Auto-scaling in data stream processing applications: A model-based reinforcement learning approach. In Simonetta Balsamo, Andrea Marin, and Enrico Vicario, editors, New Frontiers in Quantitative Methods in Informatics - 7th Workshop, InfQ 2017, Venice, Italy, December 4, 2017, Revised Selected Papers, volume 825 of Communications in Computer and Information Science, pages 97--110. Springer, 2017. [ DOI | http ]
[46]	Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, and Gabriele Russo Russo. Towards hierarchical autonomous control for elastic data stream processing in the fog. In Dora Blanco Heras, Luc Bougé, Gabriele Mencagli, Emmanuel Jeannot, Rizos Sakellariou, Rosa M. Badia, Jorge G. Barbosa, Laura Ricci, Stephen L. Scott, Stefan Lankes, and Josef Weidendorfer, editors, Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers, volume 10659 of Lecture Notes in Computer Science, pages 106--117. Springer, 2017. [ DOI | http ]
[47]	Francesco Bianchi and Francesco Lo Presti. A markov reward based resource-latency aware heuristic for the virtual network embedding problem. SIGMETRICS Perform. Evaluation Rev., 44(4):57--68, 2017. [ DOI | http ]
[48]	Valeria Cardellini, Alessandro Fanfarillo, and Salvatore Filippone. Heterogeneous caf-based load balancing on intel xeon phi. In 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPS Workshops 2016, Chicago, IL, USA, May 23-27, 2016, pages 702--711. IEEE Computer Society, 2016. [ DOI | http ]
[49]	Pasqua D'Ambra and Salvatore Filippone. A parallel generalized relaxation method for high-performance image segmentation on gpus. J. Comput. Appl. Math., 293:35--44, 2016. [ DOI | http ]
[50]	Daniele Bertaccini and Salvatore Filippone. Sparse approximate inverse preconditioners on high performance GPU platforms. Comput. Math. Appl., 71(3):693--711, 2016. [ DOI | http ]
[51]	Giuliano Casale, Vittoria De Nitto Persone, and Evgenia Smirni. QRF: an optimization-based framework for evaluating complex stochastic networks. ACM Trans. Model. Comput. Simul., 26(3):15:1--15:24, 2016. [ DOI | http ]
[52]	Valeria Cardellini, Vittoria De Nitto Persone, Valerio Di Valerio, Francisco Facchinei, Vincenzo Grassi, Francesco Lo Presti, and Veronica Piccialli. A game-theoretic approach to computation offloading in mobile cloud computing. Math. Program., 157(2):421--449, 2016. [ DOI | http ] [ pdf ]
[53]	Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, and Matteo Nardelli. Joint operator replication and placement optimization for distributed streaming applications. In Antonio Puliafito, Kishor S. Trivedi, Bruno Tuffin, Marco Scarpa, Fumio Machida, and Javier Alonso, editors, 10th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2016, Taormina, Italy, 25th-28th Oct 2016. ACM, 2016. [ DOI | http ]
[54]	Mauro Caporuscio, Mirko D'Angelo, Vincenzo Grassi, and Raffaela Mirandola. Reinforcement learning techniques for decentralized self-adaptive service assembly. In Marco Aiello, Einar Broch Johnsen, Schahram Dustdar, and Ilche Georgievski, editors, Service-Oriented and Cloud Computing - 5th IFIP WG 2.14 European Conference, ESOCC 2016, Vienna, Austria, September 5-7, 2016, Proceedings, volume 9846 of Lecture Notes in Computer Science, pages 53--68. Springer, 2016. [ DOI | http ]
[55]	Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, and Matteo Nardelli. Optimal operator placement for distributed stream processing applications. In Avigdor Gal, Matthias Weidlich, Vana Kalogeraki, and Nalini Venkasubramanian, editors, Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, DEBS '16, Irvine, CA, USA, June 20 - 24, 2016, pages 69--80. ACM, 2016. [ DOI | http ]
[56]	Mauro Caporuscio, Vincenzo Grassi, Moreno Marzolla, and Raffaela Mirandola. Goprime: A fully decentralized middleware for utility-aware service assembly. IEEE Trans. Software Eng., 42(2):136--152, 2016. [ DOI | http ] [ pdf ]
[57]	Stefano Salsano, Fabio Patriarca, Francesco Lo Presti, and Francesco Fedi. Accurate and efficient measurements of IP level performance to drive interface selection in heterogeneous wireless networks. CoRR, abs/1608.03759, 2016. [ arXiv | http ]
[58]	Francesco Bianchi and Francesco Lo Presti. A latency-aware reward model based greedy heuristic for the virtual network embedding problem. In Antonio Puliafito, Kishor S. Trivedi, Bruno Tuffin, Marco Scarpa, Fumio Machida, and Javier Alonso, editors, 10th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2016, Taormina, Italy, 25th-28th Oct 2016. ACM, 2016. [ DOI | http ]
[59]	Francesco Bianchi and Francesco Lo Presti. Qos-aware application placement over distributed cloud. In Petar Biljanovic, Zeljko Butkovic, Karolj Skala, Tihana Galinac Grbac, Marina Cicin-Sain, Vlado Sruk, Slobodan Ribaric, Stjepan Gros, Boris Vrdoljak, Mladen Mauher, Edvard Tijan, and Dino Lukman, editors, 39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016, Opatija, Croatia, May 30 - June 3, 2016, pages 742--747. IEEE, 2016. [ DOI | http ]
[60]	Francesco Bianchi and Francesco Lo Presti. A markov reward model based greedy heuristic for the virtual network embedding problem. In 24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2016, London, United Kingdom, September 19-21, 2016, pages 373--378. IEEE Computer Society, 2016. [ DOI | http ]
[61]	Valeria Cardellini, Matteo Nardelli, and Dario Luzi. Elastic stateful stream processing in storm. In International Conference on High Performance Computing & Simulation, HPCS 2016, Innsbruck, Austria, July 18-22, 2016, pages 583--590. IEEE, 2016. [ DOI | http ]
[62]	Giacomo Marciani, Marco Piu, Michele Porretta, Matteo Nardelli, and Valeria Cardellini. Real-time analysis of social networks leveraging the flink framework. In Avigdor Gal, Matthias Weidlich, Vana Kalogeraki, and Nalini Venkasubramanian, editors, Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, DEBS '16, Irvine, CA, USA, June 20 - 24, 2016, pages 386--389. ACM, 2016. [ DOI | http ]
[63]	Valeria Cardellini, Alessandro Fanfarillo, Salvatore Filippone, and Damian W. I. Rouson. Hybrid coarrays: a PGAS feature for many-core architectures. In Gerhard R. Joubert, Hugh Leather, Mark Parsons, Frans J. Peters, and Mark Sawyer, editors, Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 1-4 September 2015, Edinburgh, Scotland, UK, volume 27 of Advances in Parallel Computing, pages 175--184. IOS Press, 2015. [ DOI | http ]
[64]	Davide Barbieri, Valeria Cardellini, and Salvatore Filippone. SIMPL: A pattern language for writing efficient kernels on GPGPU. In Jeffrey C. Carver, Paolo Ciancarini, and Neil P. Chue Hong, editors, 1st IEEE/ACM International Workshop on Software Engineering for High Performance Computing in Science, SE4HPCS 2015, Florence, Italy, May 18, 2015, pages 38--45. IEEE Computer Society, 2015. [ DOI | http ]
[65]	Aziz Nanthaamornphong, Jeffrey C. Carver, Karla Morris, and Salvatore Filippone. Extracting UML class diagrams from object-oriented fortran: Foruml. Sci. Program., 2015:421816:1--421816:15, 2015. [ DOI | http ]
[66]	Andrea Aprovitola, Pasqua D'Ambra, Filippo Maria Denaro, Daniela di Serafino, and Salvatore Filippone. Sparc-les: Enabling large eddy simulations with parallel sparse matrix computation tools. Comput. Math. Appl., 70(11):2688--2700, 2015. [ DOI | http ]
[67]	Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, and Matteo Nardelli. On qos-aware scheduling of data stream applications over fog computing infrastructures. In 2015 IEEE Symposium on Computers and Communication, ISCC 2015, Larnaca, Cyprus, July 6-9, 2015, pages 271--276. IEEE Computer Society, 2015. [ DOI | http ]
[68]	Valeria Cardellini, Mirko D'Angelo, Vincenzo Grassi, Moreno Marzolla, and Raffaela Mirandola. A decentralized approach to network-aware service composition. In Schahram Dustdar, Frank Leymann, and Massimo Villari, editors, Service Oriented and Cloud Computing - 4th European Conference, ESOCC 2015, Taormina, Italy, September 15-17, 2015. Proceedings, volume 9306 of Lecture Notes in Computer Science, pages 34--48. Springer, 2015. [ DOI | http ]
[69]	Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, and Matteo Nardelli. Distributed qos-aware scheduling in storm. In Frank Eliassen and Roman Vitenberg, editors, Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, DEBS '15, Oslo, Norway, June 29 - July 3, 2015, pages 344--347. ACM, 2015. [ DOI | http ]
[70]	Marco Abundo, Valerio Di Valerio, Valeria Cardellini, and Francesco Lo Presti. Qos-aware bidding strategies for VM spot instances: A reinforcement learning approach applied to periodic long running jobs. In Remi Badonnel, Jin Xiao, Shingo Ata, Filip De Turck, Voicu Groza, and Carlos Raniery Paula dos Santos, editors, IFIP/IEEE International Symposium on Integrated Network Management, IM 2015, Ottawa, ON, Canada, 11-15 May, 2015, pages 53--61. IEEE, 2015. [ DOI | http ]
[71]	Alessandro Cammarano, Francesco Lo Presti, Gaia Maselli, Loreto Pescosolido, and Chiara Petrioli. Throughput-optimal cross-layer design for cognitive radio ad hoc networks. IEEE Trans. Parallel Distributed Syst., 26(9):2599--2609, 2015. [ DOI | http ]