Demo Data from VLDB 2026 / reviewers in the wild / expert
Evren Ayorak
dblp:85/941
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author
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.
| Software engineering, system software, and programming languages
1 paper |
Services computing and microservices · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Services computing and microservices
service discovery |
0.1 | 1 | 2007 | Super Peer Web Service Discovery Architecture · ICDE 2007 |
Services computing and microservices › service discovery
web service discovery |
0.1 | 1 | 2007 | Super Peer Web Service Discovery Architecture · ICDE 2007 |
Distributed systems › peer-to-peer systems › distributed hash table
content-addressable network |
0.0 | 1 | 2007 | Super Peer Web Service Discovery Architecture · ICDE 2007 |
Distributed systems › peer-to-peer systems
distributed hash table |
0.0 | 1 | 2007 | Super Peer Web Service Discovery Architecture · ICDE 2007 |
Distributed systems
peer-to-peer systems |
0.0 | 1 | 2007 | Super Peer Web Service Discovery Architecture · ICDE 2007 |
Distributed systems › peer-to-peer systems › peer-to-peer architecture
super-peer network |
0.0 | 1 | 2007 | Super Peer Web Service Discovery Architecture · ICDE 2007 |
Methods — techniques the papers use, named apart from their topics
semantic web service description · 0.1ontology · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Super Peer Web Service Discovery ArchitectureabstractWeb service discovery is currently performed with centralized registries such as UDDI. In this paper, we propose a super-peer network protocol to combine the efficiency of a centralized protocols and P2P networks. For avoiding a flooding the network with search request and for minimizing the number of messages routed in the network, we represented content-addressable network (CAN) structure, which provides a scalable, fault-tolerant distributed hash table (DHT), for super-peers communication. Web service definitions implemented semantically as OWL ontology. The proposed architecture offers self-maintaining and self-clustering network where the peer groups classify the Web service definitions and each peer-group becomes the owner of a classification dynamically. Evren Ayorak, Ayse Basar Bener |
ICDE | 1 |