EDBT 2026 Demo / reviewers in the wild / expert
Hongguang Guan
dblp:149/9182
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 |
Software-defined and programmable networks · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Reconfigurable computing and FPGAs · 77% Cloud and datacenter computing · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software-defined and programmable networks
network function virtualization |
0.2 | 1 | 2014 | OpenANFV: accelerating network function virtualization with a consolidated framework in openstack · SIGCOMM 2014 |
Software-defined and programmable networks › network function virtualization
NFV acceleration |
0.2 | 1 | 2014 | OpenANFV: accelerating network function virtualization with a consolidated framework in openstack · SIGCOMM 2014 |
Reconfigurable computing and FPGAs
reconfigurable computing |
0.2 | 1 | 2014 | OpenANFV: accelerating network function virtualization with a consolidated framework in openstack · SIGCOMM 2014 |
Cloud and datacenter computing
virtualization |
0.1 | 1 | 2014 | OpenANFV: accelerating network function virtualization with a consolidated framework in openstack · SIGCOMM 2014 |
Methods — techniques the papers use, named apart from their topics
FPGA virtualization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | OpenANFV: accelerating network function virtualization with a consolidated framework in openstackabstractThe resources of dedicated accelerators (e.g. FPGA) are still required to bridge the gap between software-based Middleboxs(MBs) and the commodity hardware. To consolidate various hardware resources in an elastic, programmable and reconfigurable manner, we design and build a flexible and consolidated framework, OpenANFV, to support virtualized accelerators for MBs in the cloud environment. OpenANFV is seamlessly and efficiently put into Openstack to provide high performance on top of commodity hardware to cope with various virtual function requirements. OpenANFV works as an independent component to manage and virtualize the acceleration resources (e.g. cinder manages block storage resources and nova manages computing resources). Specially, OpenANFV mainly has the following three features. (1)Automated Management. Provisioning for multiple Virtualized Network Functions (VNFs) is automated to meet the dynamic requirements of NFV environment. Such automation alleviates the time pressure of the complicated provisioning and configuration as well as reduces the probability of manually induced configuration errors. (2) Elasticity. VNFs are created, migrated, and destroyed on demand in real time. The reconfigurable hardware resources in pool can rapidly and flexibly offload the corresponding services to the accelerator platform in the dynamic NFV environment. (3) Coordinating with Openstack. The design and implementation of the OpenANFV APIs coordinate with the mechanisms in Openstack to support required virtualized MBs for multiple tenants. Xiongzi Ge, David Hung-Chang Du, Hongguang Guan, Yuping Zhao |
SIGCOMM | 5 |