Demo Data from EDBT 2026 / reviewers in the wild / expert
Janardhan Singaraju
dblp:52/1159
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 3 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 |
Reconfigurable computing and FPGAs · 100% | |
| Computer networks
1 paper |
Routing and switching · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Reconfigurable computing and FPGAs
FPGA-based network processing |
0.1 | 1 | 2006 | A generic lookup cache architecture for network processing applications · FPGA 2006 |
Routing and switching
IP lookup |
0.0 | 1 | 2006 | A generic lookup cache architecture for network processing applications · FPGA 2006 |
Routing and switching
network processing |
0.0 | 1 | 2006 | A generic lookup cache architecture for network processing applications · FPGA 2006 |
Methods — techniques the papers use, named apart from their topics
FPGA implementation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Active storage networks: Using embedded computation in the network switch for cluster data processing
Janardhan Singaraju, Ajithkumar Thamarakuzhi, John A. Chandy |
Future Gener. Comput. Syst. | 1 |
| 2006 | A generic lookup cache architecture for network processing applicationsabstractIn this paper, we introduce a novel architecture for constructing caches for lookup operations that are used in a variety of network processing applications. The distinguishing feature of the cache is the ability to match on keys that of arbitrary lengths. We show through an FPGA implementation, that the proposed design can speed up lookup operations significantly compared to a software implementation. In conjunction with a network processor, the use of such a cache can greatly improve the response time of lookup intensive applications such as DNS resolution, directory lookup in network storage, and LDAP queries. Janardhan Singaraju, John A. Chandy |
FPGA | 1 |
| 2005 | A Signature Match Processor Architecture for Network Intrusion DetectionabstractIn this paper, we introduce a novel architecture for a hardware based network intrusion detection system (NIDS). NIDSs are becoming critical components of the network infrastructure as they serve as a key line of defense in network protection. However, current methods are much too compute intensive and cannot begin to meet the bandwidth requirements of a moderate sized corporate network. Thus, hardware techniques are desired to speed up network processing. This paper introduces a FPGA based signature match processor that can serve as the core of a hardware based NIDS. The signature match processor's key feature is a CAM-based cellular processor architecture that can match strings in an area efficient manner. Using a unique binary tree structure, we are also able to generate priority encoded addresses corresponding to multiple signature matches. Janardhan Singaraju, Long Bu, John A. Chandy |
FCCM | 1 |