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ORCIDDiego Didona
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2020 – today
- 2022
[c26]Diego Didona, Jonas Pfefferle, Nikolas Ioannou, Bernard Metzler, Animesh Trivedi
:
Understanding modern storage APIs: a systematic study of libaio, SPDK, and io_uring. SYSTOR 2022: 120-127- 2021
- [j8]Kristina Spirovska, Diego Didona, Willy Zwaenepoel:
Optimistic Causal Consistency for Geo-Replicated Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 32(3): 527-542 (2021) - [c25]Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou:
Towards a General Framework for ML-based Self-tuning Databases. EuroMLSys@EuroSys 2021: 24-30 - 2020
- [j7]Diego Didona, Nikolas Ioannou, Radu Stoica, Kornilios Kourtis:
Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs. Proc. VLDB Endow. 14(3): 364-377 (2020) - [c24]Maria Casimiro, Diego Didona, Paolo Romano, Luís E. T. Rodrigues, Willy Zwaenepoel, David Garlan:
Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs. ICDCS 2020: 56-66 - [c23]Karolos Antoniadis, Diego Didona, Rachid Guerraoui, Willy Zwaenepoel:
The Impossibility of Fast Transactions. IPDPS 2020: 1143-1154 - [i11]Diego Didona, Nikolas Ioannou, Radu Stoica, Kornilios Kourtis:
Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs. CoRR abs/2006.04658 (2020) - [i10]Thomas Schmied, Diego Didona, Andreas C. Döring, Thomas P. Parnell, Nikolas Ioannou:
Towards a General Framework for ML-based Self-tuning Databases. CoRR abs/2011.07921 (2020)
2010 – 2019
- 2019
- [c22]Kristina Spirovska, Diego Didona, Willy Zwaenepoel:
PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication. ICDCS 2019: 304-316 - [c21]Diego Didona, Willy Zwaenepoel:
Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores. NSDI 2019: 79-94 - [c20]Diego Didona, Panagiota Fatourou, Rachid Guerraoui, Jingjing Wang, Willy Zwaenepoel:
Distributed Transactional Systems Cannot Be Fast. SPAA 2019: 369-380 - [c19]Oana Balmau, Florin Dinu, Willy Zwaenepoel, Karan Gupta, Ravishankar Chandhiramoorthi, Diego Didona:
SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores. USENIX ATC 2019: 753-766 - [i9]Kristina Spirovska, Diego Didona, Willy Zwaenepoel:
PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication. CoRR abs/1902.09327 (2019) - [i8]Diego Didona, Panagiota Fatourou, Rachid Guerraoui, Jingjing Wang, Willy Zwaenepoel:
Distributed Transactional Systems Cannot Be Fast. CoRR abs/1903.09106 (2019) - [i7]Maria Casimiro, Diego Didona, Paolo Romano, Luís E. T. Rodrigues, Willy Zwaenepoel:
Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget. CoRR abs/1905.02119 (2019) - 2018
- [j6]Diego Didona, Rachid Guerraoui, Jingjing Wang, Willy Zwaenepoel:
Causal Consistency and Latency Optimality: Friend or Foe? Proc. VLDB Endow. 11(11): 1618-1632 (2018) - [j5]Oana Balmau, Florin Dinu, Willy Zwaenepoel, Karan Gupta, Ravishankar Chandhiramoorthi, Diego Didona:
SILK+ Preventing Latency Spikes in Log-Structured Merge Key-Value Stores Running Heterogeneous Workloads. ACM Trans. Comput. Syst. 36(4): 12:1-12:27 (2018) - [c18]Pamela Delgado, Diego Didona, Florin Dinu, Willy Zwaenepoel:
Kairos: Preemptive Data Center Scheduling Without Runtime Estimates. SoCC 2018: 135-148 - [c17]Kristina Spirovska, Diego Didona, Willy Zwaenepoel:
Wren: Nonblocking Reads in a Partitioned Transactional Causally Consistent Data Store. DSN 2018: 1-12 - [i6]Diego Didona, Willy Zwaenepoel:
Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores. CoRR abs/1802.00696 (2018) - [i5]Diego Didona, Rachid Guerraoui, Jingjing Wang, Willy Zwaenepoel:
Causal Consistency and Latency Optimality: Friend or Foe? CoRR abs/1803.04237 (2018) - [i4]Diego Didona, Rachid Guerraoui, Jingjing Wang, Willy Zwaenepoel:
Distributed Transactions: Dissecting the Nightmare. CoRR abs/1803.06341 (2018) - 2017
- [c16]Kristina Spirovska, Diego Didona, Willy Zwaenepoel:
Optimistic Causal Consistency for Geo-Replicated Key-Value Stores. ICDCS 2017: 2626-2629 - [c15]Daniel Castro, Paolo Romano, Diego Didona, Willy Zwaenepoel:
An Analytical Model of Hardware Transactional Memory. MASCOTS 2017: 221-231 - [c14]Oana Balmau, Diego Didona, Rachid Guerraoui, Willy Zwaenepoel, Huapeng Yuan, Aashray Arora, Karan Gupta, Pavan Konka:
TRIAD: Creating Synergies Between Memory, Disk and Log in Log Structured Key-Value Stores. USENIX ATC 2017: 363-375 - [i3]Diego Didona, Kristina Spirovska, Willy Zwaenepoel:
Okapi: Causally Consistent Geo-Replication Made Faster, Cheaper and More Available. CoRR abs/1702.04263 (2017) - 2016
- [c13]Diego Didona, Nuno Diegues, Anne-Marie Kermarrec, Rachid Guerraoui, Ricardo Neves, Paolo Romano:
ProteusTM: Abstraction Meets Performance in Transactional Memory. ASPLOS 2016: 757-771 - [c12]Pamela Delgado, Diego Didona, Florin Dinu, Willy Zwaenepoel:
Job-aware Scheduling in Eagle: Divide and Stick to Your Probes. SoCC 2016: 497-509 - 2015
- [j4]Diego Didona, Pascal Felber, Derin Harmanci, Paolo Romano, Jörg Schenker:
Identifying the optimal level of parallelism in transactional memory applications. Computing 97(9): 939-959 (2015) - [j3]Pierangelo di Sanzo, Francesco Quaglia, Bruno Ciciani, Alessandro Pellegrini, Diego Didona, Paolo Romano, Roberto Palmieri, Sebastiano Peluso:
A flexible framework for accurate simulation of cloud in-memory data stores. Simul. Model. Pract. Theory 58: 219-238 (2015) - [c11]Diego Didona, Paolo Romano:
Using Analytical Models to Bootstrap Machine Learning Performance Predictors. ICPADS 2015: 405-413 - [c10]Diego Didona, Francesco Quaglia, Paolo Romano, Ennio Torre:
Enhancing Performance Prediction Robustness by Combining Analytical Modeling and Machine Learning. ICPE 2015: 145-156 - [c9]Diego Didona, Paolo Romano:
Hybrid Machine Learning/Analytical Models for Performance Prediction: A Tutorial. ICPE 2015: 341-344 - [p1]Maria Couceiro, Diego Didona, Luís E. T. Rodrigues, Paolo Romano:
Self-tuning in Distributed Transactional Memory. Transactional Memory 2015: 418-448 - 2014
- [j2]Diego Didona, Paolo Romano, Sebastiano Peluso, Francesco Quaglia:
Transactional Auto Scaler: Elastic Scaling of Replicated In-Memory Transactional Data Grids. ACM Trans. Auton. Adapt. Syst. 9(2): 11:1-11:32 (2014) - [c8]Diego Didona, Paolo Romano:
Performance Modelling of Partially Replicated In-Memory Transactional Stores. MASCOTS 2014: 265-274 - [c7]Diego Didona, Paolo Romano:
Self-Tuning Transactional Data Grids: The Cloud-TM Approach. NCCA 2014: 113-120 - [i2]Diego Didona, Paolo Romano:
On Bootstrapping Machine Learning Performance Predictors via Analytical Models. CoRR abs/1410.5102 (2014) - [i1]Pierangelo di Sanzo, Francesco Quaglia, Bruno Ciciani, Alessandro Pellegrini, Diego Didona, Paolo Romano, Roberto Palmieri, Sebastiano Peluso:
A Flexible Framework for Accurate Simulation of Cloud In-Memory Data Stores. CoRR abs/1411.7910 (2014) - 2013
- [c6]Diego Didona, Pascal Felber, Derin Harmanci, Paolo Romano, Jörg Schenker:
Identifying the Optimal Level of Parallelism in Transactional Memory Applications. NETYS 2013: 233-247 - 2012
- [j1]Sebastiano Peluso, Diego Didona, Francesco Quaglia:
Supports for transparent object-migration in PDES systems. J. Simulation 6(4): 279-293 (2012) - [c5]Diego Didona, Paolo Romano, Sebastiano Peluso, Francesco Quaglia:
Transactional auto scaler: elastic scaling of in-memory transactional data grids. ICAC 2012: 125-134 - [c4]Bruno Ciciani, Diego Didona, Pierangelo di Sanzo, Roberto Palmieri, Sebastiano Peluso, Francesco Quaglia, Paolo Romano:
Automated Workload Characterization in Cloud-based Transactional Data Grids. IPDPS Workshops 2012: 1525-1533 - [c3]Diego Didona, Daniele Carnevale, Sergio Galeani, Paolo Romano:
An Extremum Seeking Algorithm for Message Batching in Total Order Protocols. SASO 2012: 89-98 - 2011
- [c2]Roberto Palmieri, Pierangelo di Sanzo, Francesco Quaglia, Paolo Romano, Sebastiano Peluso, Diego Didona:
Integrated Monitoring of Infrastructures and Applications in Cloud Environments. Euro-Par Workshops (1) 2011: 45-53 - [c1]Sebastiano Peluso, Diego Didona, Francesco Quaglia:
Application Transparent Migration of Simulation Objects with Generic Memory Layout. PADS 2011: 1-9
Coauthor Index
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