Demo Data from EDBT 2026 / reviewers in the wild / expert
Adnan Khaleel
dblp:44/5415
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 70% Performance modeling and evaluation · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › network-attached storage
network-attached secure disk |
0.0 | 1 | 2000 | Performance Evaluation of Storage Systems Based on Network-Attached Disks · IEEE Trans. Parallel Distributed Syst. 2000 |
Storage systems
network-attached storage |
0.0 | 1 | 2000 | Performance Evaluation of Storage Systems Based on Network-Attached Disks · IEEE Trans. Parallel Distributed Syst. 2000 |
Performance modeling and evaluation › simulation › discrete-event simulation
trace-driven simulation |
0.0 | 1 | 2000 | Performance Evaluation of Storage Systems Based on Network-Attached Disks · IEEE Trans. Parallel Distributed Syst. 2000 |
Storage systems
distributed storage |
0.0 | 1 | 2000 | Performance Evaluation of Storage Systems Based on Network-Attached Disks · IEEE Trans. Parallel Distributed Syst. 2000 |
Methods — techniques the papers use, named apart from their topics
trace-driven simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Performance Evaluation of Storage Systems Based on Network-Attached DisksabstractThe emergence of network-attached disks provides the possibility of transferring data between the storage system and the client directly. This offers new possibilities in building a distributed storage system. In this paper, we examine different storage organizations based on network-attached disks and compare the performance of these systems to a traditional system. Trace-driven simulations are used to measure the average response times of the client requests in two different workloads. We show that the advantages of distributing the server's network processing load to disks can be offset by losses in cache hits in a system based on network-attached disks. The two workloads we considered highlight this impact. We show that it is possible to offload significant load from the server by utilizing network-attached disks and point out that specific applications may be able to better exploit the features of network-attached disks. Gang Ma 0012, Adnan Khaleel, A. L. Narasimha Reddy |
IEEE Trans. Parallel Distributed Syst. | 2 |
| 1999 | Evaluation of Data and Request Distribution Policies in Clustered Servers
Adnan Khaleel, A. L. Narasimha Reddy |
HiPC | 1 |