Demo Data from EDBT 2026 / reviewers in the wild / expert
Valerio Maria Gentile
dblp:225/9835
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Cellular and mobile networks · 61% Network management and operations · 30% Network measurement and analytics · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks
mobility management |
0.3 | 1 | 2018 | Accurate and Efficient Measurements of IP Level Performance to Drive Interface Selection in Heterogeneous Wireless Networks · IEEE Trans. Mob. Comput. 2018 |
Network management and operations › network monitoring
performance monitoring |
0.3 | 1 | 2018 | Accurate and Efficient Measurements of IP Level Performance to Drive Interface Selection in Heterogeneous Wireless Networks · IEEE Trans. Mob. Comput. 2018 |
Cellular and mobile networks › network association
wireless interface selection |
0.3 | 1 | 2018 | Accurate and Efficient Measurements of IP Level Performance to Drive Interface Selection in Heterogeneous Wireless Networks · IEEE Trans. Mob. Comput. 2018 |
Methods — techniques the papers use, named apart from their topics
kernel-level measurement · 0.3application-level measurement · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Accurate and Efficient Measurements of IP Level Performance to Drive Interface Selection in Heterogeneous Wireless NetworksabstractOptimal interface selection is a key mobility management issue in heterogeneous wireless networks. Measuring the physical or link level performance on a given wireless access networks does not provide a reliable indication of the IP connectivity, delay, and loss on the (bidirectional) paths from the Mobile Host to the node that is handling the mobility, over different heterogeneous networks. In this paper, we propose, implement, and analyze mechanisms for connectivity check and performance (network delay and packet loss) monitoring over IP access networks. We evaluate the accuracy and timeliness of the performance estimates and provide guidelines for tuning up the parameters. From the implementation perspective, we show that using application level measurements is highly CPU intensive, while a kernel based implementation has comparably a very low CPU usage. The Linux kernel implementation results in an efficient use of batteries in Mobile Hosts and intermediate Mobility Management Nodes can scale up to monitoring thousands of flows. The proposed solutions have been implemented in the context of a specific mobility management solution, but the results are of general applicability. The Linux implementation is available as Open Source. Stefano Salsano, Fabio Patriarca, Francesco Lo Presti, Pier Luigi Ventre, Valerio Maria Gentile |
IEEE Trans. Mob. Comput. | 5 |