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Diego Didona
Diego Didona
Principal research engineer - Huawei
Verified email at huawei.com
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Cited by
Cited by
Year
TRIAD: Creating Synergies Between Memory, Disk and Log in Log Structured Key-Value Stores
O Balmau, D Didona, R Guerraoui, W Zwaenepoel, H Yuan, A Arora, ...
2017 {USENIX} Annual Technical Conference ({USENIX}{ATC} 17), 363-375, 2017
1552017
SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores.
O Balmau, F Dinu, W Zwaenepoel, K Gupta, R Chandhiramoorthi, ...
USENIX Annual Technical Conference, 753-766, 2019
1382019
Job-aware Scheduling in Eagle: Divide and Stick to Your Probes
P Delgado, D Didona, F Dinu, W Zwaenepoel
ACM Symposium on Cloud Computing, 2016
1302016
Enhancing performance prediction robustness by combining analytical modeling and machine learning
D Didona, F Quaglia, P Romano, E Torre
Proceedings of the 6th ACM/SPEC International Conference on Performance …, 2015
1082015
Transactional Auto Scaler: Elastic Scaling of Replicated In-Memory Transactional Data Grids
D Didona, P Romano, S Peluso, F Quaglia
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 9 (2), 2014
1012014
Identifying the optimal level of parallelism in transactional memory systems
D Didona, P Felber, D Harmanci, P Romano, J Schenker
Proceedings of the International Conference on Networked Systems, NETYS …, 2013
93*2013
Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores
D Didona, W Zwaenepoel
16th USENIX Symposium on Networked Systems Design and Implementation, 2019
742019
Kairos: Preemptive Data Center Scheduling Without Runtime Estimates
P Delgado, D Didona, F Dinu, W Zwaenepoel
ACM Symposium on Cloud Computing (SoCC), 2018
542018
Proteustm: Abstraction meets performance in transactional memory
D Didona, N Diegues, AM Kermarrec, R Guerraoui, R Neves, P Romano
Proceedings of the Twenty-First International Conference on Architectural …, 2016
472016
Optimistic Causal Consistency for Geo-Replicated Key-Value Stores.
K Spirovska, D Didona, W Zwaenepoel.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020
392020
Using Analytical Models to Bootstrap Machine Learning Performance Predictors
D Didona, P Romano
IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2015
39*2015
Automated workload characterization in cloud-based transactional data grids
B Ciciani, D Didona, P Di Sanzo, R Palmieri, S Peluso, F Quaglia, ...
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
39*2012
Wren: Nonblocking reads in a partitioned transactional causally consistent data store
K Spirovska, D Didona, W Zwaenepoel
2018 48th Annual IEEE/IFIP International Conference on Dependable Systems …, 2018
382018
Causal consistency and latency optimality: friend or foe?
D Didona, R Guerraoui, J Wang, W Zwaenepoel
Proceedings of the VLDB Endowment 11 (11), 1618-1632, 2018
352018
PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication
K Spirovska, D Didona, W Zwaenepoel
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
312019
Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs
M Casimiro, D Didona, P Romano, L Rodrigues, W Zwaenepoel, D Garlan
The 40th International Conference on Distributed Computing Systems, 2020
30*2020
Okapi: Causally consistent geo-replication made faster, cheaper and more available
D Didona, K Spirovska, W Zwaenepoel
arXiv preprint arXiv:1702.04263, 2017
302017
Supports for transparent object-migration in PDES systems &star
S Peluso, D Didona, F Quaglia
Journal of Simulation 6 (4), 279-293, 2012
27*2012
A Flexible Framework for Accurate Simulation of Cloud In-Memory Data Stores
P Di Sanzo, F Quaglia, B Ciciani, A Pellegrini, D Didona, P Romano, ...
Elsevier Simulation Modelling Practice and Theory (SIMPAT), 2014
262014
Silk+ preventing latency spikes in log-structured merge key-value stores running heterogeneous workloads
O Balmau, F Dinu, W Zwaenepoel, K Gupta, R Chandhiramoorthi, ...
ACM Transactions on Computer Systems (TOCS) 36 (4), 1-27, 2020
212020
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