Demo Data from EDBT 2026 / reviewers in the wild / expert
Georgios Koloventzos
dblp:184/8213
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0003-3236-3466ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 88% Processor architecture and microarchitecture · 12% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing › virtualization › virtualization performance
hypervisor performance |
0.2 | 1 | 2016 | ARM Virtualization: Performance and Architectural Implications · ISCA 2016 |
Cloud and datacenter computing
virtualization |
0.2 | 1 | 2016 | ARM Virtualization: Performance and Architectural Implications · ISCA 2016 |
Processor architecture and microarchitecture › instruction set architecture › RISC
ARM architecture |
0.1 | 1 | 2016 | ARM Virtualization: Performance and Architectural Implications · ISCA 2016 |
Cloud and datacenter computing › virtualization
hardware-assisted virtualization |
0.1 | 1 | 2016 | ARM Virtualization: Performance and Architectural Implications · ISCA 2016 |
Methods — techniques the papers use, named apart from their topics
measurement · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | ARM Virtualization: Performance and Architectural ImplicationsabstractARM servers are becoming increasingly common, making server technologies such as virtualization for ARM of growing importance. We present the first study of ARM virtualization performance on server hardware, including multi-core measurements of two popular ARM and x86 hypervisors, KVM and Xen. We show how ARM hardware support for virtualization can enable much faster transitions between VMs and the hypervisor, a key hypervisor operation. However, current hypervisor designs, including both Type 1 hypervisors such as Xen and Type 2 hypervisors such as KVM, are not able to leverage this performance benefit for real application workloads. We discuss the reasons why and show that other factors related to hypervisor software design and implementation have a larger role in overall performance. Based on our measurements, we discuss changes to ARM's hardware virtualization support that can potentially bridge the gap to bring its faster VM-to-hypervisor transition mechanism to modern Type 2 hypervisors running real applications. These changes have been incorporated into the latest ARM architecture. Christoffer Dall, Shih-Wei Li, Jin Tack Lim, Jason Nieh, Georgios Koloventzos |
ISCA | 5 |