Demo Data from EDBT 2026 / reviewers in the wild / expert
Jorge Cabrera 0002
dblp:330/1632
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2Databases, data management, data science and information retrieval · 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
2 papers |
Cloud and datacenter computing · 46% Memory systems · 38% Embedded and real-time systems · 17% | |
| Software engineering, system software, and programming languages
1 paper |
Operating systems · 100% |
Topics — the 9 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
real-time scheduling |
0.3 | 1 | 2018 | RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling · EuroSys 2018 |
Cloud and datacenter computing
virtualization |
0.3 | 1 | 2018 | RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling · EuroSys 2018 |
Cloud and datacenter computing › virtualization
virtual machine |
0.3 | 1 | 2018 | RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling · EuroSys 2018 |
Memory systems
cache |
0.2 | 1 | 2016 | CloudCache: On-demand Flash Cache Management for Cloud Computing · FAST 2016 |
Cloud and datacenter computing
cloud storage |
0.2 | 1 | 2016 | CloudCache: On-demand Flash Cache Management for Cloud Computing · FAST 2016 |
Memory systems › cache management › storage caching
flash cache |
0.2 | 1 | 2016 | CloudCache: On-demand Flash Cache Management for Cloud Computing · FAST 2016 |
Memory systems › cache management › storage caching
flash cache management |
0.2 | 1 | 2016 | CloudCache: On-demand Flash Cache Management for Cloud Computing · FAST 2016 |
Operating systems › resource management › process management
CPU scheduling |
0.1 | 1 | 2018 | RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling · EuroSys 2018 |
Operating systems › resource management › process management › CPU scheduling
multiprocessor scheduling |
0.1 | 1 | 2018 | RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling · EuroSys 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU schedulingabstractVirtualization enables flexible application delivery and efficient resource consolidation, and is pervasively used to build various virtualized systems including public and private cloud computing systems. Many applications can benefit from computing on virtualized systems, including those that are time sensitive, but it is still challenging for existing virtualized systems to deliver application-desired timeliness. In particular, the lack of awareness between VM host- and guest-level schedulers presents a serious hurdle to achieving strong timeliness guarantees on virtualized systems. This paper presents RTVirt, a new solution to time-sensitive computing on virtualized systems through cross-layer scheduling. It allows the two levels of schedulers on a virtualized system to communicate key scheduling information and coordinate on the scheduling decisions. It enables optimal multiprocessor schedulers to support virtualized time-sensitive applications with strong timeliness guarantees and efficient resource utilization. RTVirt is prototyped on a widely used virtualization framework (Xen) and evaluated with diverse workloads. The results show that it can meet application deadlines (99%) or tail latency requirements (99.9th percentile) nearly perfectly; it can handle large numbers of applications and dynamic changes in their timeliness requirements; and it substantially outperforms the existing solutions in both timeliness and resource utilization. Ming Zhao 0002, Jorge Cabrera 0002 |
EuroSys | 2 |
| 2016 | CloudCache: On-demand Flash Cache Management for Cloud Computing
Dulcardo Arteaga, Jorge Cabrera 0002, Jing Xu 0012, Swaminathan Sundararaman, Ming Zhao 0002 |
FAST | 2 |