Diego Didona

According to our database1, Diego Didona authored at least 37 papers between 2011 and 2022.

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Bibliography

2022
Understanding modern storage APIs: a systematic study of libaio, SPDK, and io_uring.
Proceedings of the SYSTOR '22: The 15th ACM International Systems and Storage Conference, Haifa, Israel, June 13, 2022

2021
Optimistic Causal Consistency for Geo-Replicated Key-Value Stores.
IEEE Trans. Parallel Distributed Syst., 2021

Towards a General Framework for ML-based Self-tuning Databases.
Proceedings of the EuroMLSys@EuroSys 2021, 2021

2020
Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs.
Proc. VLDB Endow., 2020

The Impossibility of Fast Transactions.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019
Lynceus: Tuning and Provisioning Data Analytic Jobs on a Budget.
CoRR, 2019

SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Distributed Transactional Systems Cannot Be Fast.
Proceedings of the 31st ACM on Symposium on Parallelism in Algorithms and Architectures, 2019

Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores.
Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018
SILK+ Preventing Latency Spikes in Log-Structured Merge Key-Value Stores Running Heterogeneous Workloads.
ACM Trans. Comput. Syst., 2018

Causal Consistency and Latency Optimality: Friend or Foe?
Proc. VLDB Endow., 2018

Distributed Transactions: Dissecting the Nightmare.
CoRR, 2018

Wren: Nonblocking Reads in a Partitioned Transactional Causally Consistent Data Store.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Kairos: Preemptive Data Center Scheduling Without Runtime Estimates.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
Okapi: Causally Consistent Geo-Replication Made Faster, Cheaper and More Available.
CoRR, 2017

TRIAD: Creating Synergies Between Memory, Disk and Log in Log Structured Key-Value Stores.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

An Analytical Model of Hardware Transactional Memory.
Proceedings of the 25th IEEE International Symposium on Modeling, 2017

2016
Job-aware Scheduling in Eagle: Divide and Stick to Your Probes.
Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

ProteusTM: Abstraction Meets Performance in Transactional Memory.
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2015
A flexible framework for accurate simulation of cloud in-memory data stores.
Simul. Model. Pract. Theory, 2015

Identifying the optimal level of parallelism in transactional memory applications.
Computing, 2015

Hybrid Machine Learning/Analytical Models for Performance Prediction: A Tutorial.
Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, Austin, TX, USA, January 31, 2015

Enhancing Performance Prediction Robustness by Combining Analytical Modeling and Machine Learning.
Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering, Austin, TX, USA, January 31, 2015

Using Analytical Models to Bootstrap Machine Learning Performance Predictors.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Self-tuning in Distributed Transactional Memory.
Proceedings of the Transactional Memory. Foundations, Algorithms, Tools, and Applications, 2015

2014
Transactional Auto Scaler: Elastic Scaling of Replicated In-Memory Transactional Data Grids.
ACM Trans. Auton. Adapt. Syst., 2014

On Bootstrapping Machine Learning Performance Predictors via Analytical Models.
CoRR, 2014

Self-Tuning Transactional Data Grids: The Cloud-TM Approach.
Proceedings of the IEEE 3rd Symposium on Network Cloud Computing and Applications, 2014

Performance Modelling of Partially Replicated In-Memory Transactional Stores.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

2012
Supports for transparent object-migration in PDES systems.
J. Simulation, 2012

An Extremum Seeking Algorithm for Message Batching in Total Order Protocols.
Proceedings of the Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2012

Automated Workload Characterization in Cloud-based Transactional Data Grids.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Transactional auto scaler: elastic scaling of in-memory transactional data grids.
Proceedings of the 9th International Conference on Autonomic Computing, 2012

2011
Application Transparent Migration of Simulation Objects with Generic Memory Layout.
Proceedings of the 25th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2011

Integrated Monitoring of Infrastructures and Applications in Cloud Environments.
Proceedings of the Euro-Par 2011: Parallel Processing Workshops - CCPI, CGWS, HeteroPar, HiBB, HPCVirt, HPPC, HPSS, MDGS, ProPer, Resilience, UCHPC, VHPC, Bordeaux, France, August 29, 2011


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