F
Francesco Quaglia
Researcher at University of Rome Tor Vergata
Publications - 188
Citations - 2125
Francesco Quaglia is an academic researcher from University of Rome Tor Vergata. The author has contributed to research in topics: Discrete event simulation & Rollback. The author has an hindex of 23, co-authored 181 publications receiving 2000 citations. Previous affiliations of Francesco Quaglia include Sapienza University of Rome.
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Proceedings ArticleDOI
When Scalability Meets Consistency: Genuine Multiversion Update-Serializable Partial Data Replication
TL;DR: It is shown that GMU achieves linear scalability and that it introduces negligible overheads (less than 10%), with respect to solutions ensuring non-serializable semantics, in a wide range of workloads.
Book ChapterDOI
SCORe: a scalable one-copy serializable partial replication protocol
TL;DR: The experimental results demonstrate that SCORe provides stronger consistency guarantees (namely One-Copy Serializability) than existing multiversion partial replication protocols at no additional overhead.
Journal ArticleDOI
A cost model for selecting checkpoint positions in time warp parallel simulation
TL;DR: A checkpointing technique in which the selection of the positions of checkpoints is based on a checkpointing-recovery cost model that allows faster execution and, in some cases, exhibits the additional advantage that less memory is required for recording state vectors.
Journal ArticleDOI
An index-based checkpointing algorithm for autonomous distributed systems
TL;DR: This paper presents an index-based checkpointing algorithm for distributed systems with the aim of reducing the total number of checkpoints while ensuring that each checkpoint belongs to at least one consistent global checkpoint (or recovery line).
Proceedings ArticleDOI
Enhancing Performance Prediction Robustness by Combining Analytical Modeling and Machine Learning
TL;DR: Several hybrid/gray box techniques are explored that exploit AM and ML in synergy in synergy to get the best of the two worlds, targeting two complex and widely adopted middleware systems.