Radu Nichita

dblp:346/2357 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0006-2590-8551ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

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 architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%
Software engineering, system software, and programming languages
1 paper
Operating systems · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Operating systems
virtualization
0.712023
Nephele: Extending Virtualization Environments for Cloning Unikernel-based VMs · EuroSys 2023
Cloud and datacenter computing
virtualization
0.712023
Nephele: Extending Virtualization Environments for Cloning Unikernel-based VMs · EuroSys 2023
Cloud and datacenter computing › virtualization › virtual machine management
virtual machine cloning
0.712023
Nephele: Extending Virtualization Environments for Cloning Unikernel-based VMs · EuroSys 2023

Methods — techniques the papers use, named apart from their topics

unikernel design · 1.3POSIX porting · 1.3
YearPublicationVenuePosition
2023 Nephele: Extending Virtualization Environments for Cloning Unikernel-based VMs
abstract
Unikernels gained an increasing interest in the recent years because they provide efficient resource allocation and high performance for cloud services by bundling the application with a minimal set of OS services in a guest VM. Although a unikernel is by design small and lightweight, fleets of unikernels based on the same image are not necessarily more efficient than containers because the latter can rely upon OS primitives for sharing memory. Futhermore, porting POSIX applications on top of unikernels brings a new challenge: what does fork() mean in the world of unikernels where there is memory isolation within a VM? Lacking fork() support significantly reduces the applicability of unikernels in popular cloud applications.
Costin Lupu, Andrei Albisoru, Radu Nichita, Doru-Florin Blânzeanu, Mihai Pogonaru, Razvan Deaconescu, Costin Raiciu
EuroSys3