EDBT 2026 Demo / reviewers in the wild / expert
Vivek Agrawala
dblp:11/7014
· DBLP profile ↗
5ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 4Theory of computation · 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
3 papers |
Distributed systems · 95% Interconnection networks and networks-on-chip · 5% | |
| Theoretical computer science
1 paper |
Distributed computing theory · 50% Combinatorics and discrete mathematics · 50% |
Topics — the 11 heaviest of 11, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
fault tolerance |
0.0 | 3 | 1994 | Processor Membership in Asynchronous Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1994 Asynchronous Fault-Tolerant Total Ordering Algorithms · SIAM J. Comput. 1993 Broadcast Protocols for Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1990 |
Distributed systems
distributed algorithms |
0.0 | 1 | 1994 | Processor Membership in Asynchronous Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1994 |
Distributed systems › group communication
atomic broadcast |
0.0 | 1 | 1993 | Asynchronous Fault-Tolerant Total Ordering Algorithms · SIAM J. Comput. 1993 |
Distributed computing theory
consensus |
0.0 | 1 | 1993 | Asynchronous Fault-Tolerant Total Ordering Algorithms · SIAM J. Comput. 1993 |
Combinatorics and discrete mathematics › partial orders
linear orders |
0.0 | 1 | 1993 | Asynchronous Fault-Tolerant Total Ordering Algorithms · SIAM J. Comput. 1993 |
Distributed systems
distributed coordination |
0.0 | 1 | 1990 | Broadcast Protocols for Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1990 |
Distributed systems › fault tolerance › fault-tolerant protocols
reliable broadcast |
0.0 | 1 | 1990 | Broadcast Protocols for Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1990 |
Interconnection networks and networks-on-chip
broadcasting |
0.0 | 1 | 1994 | Processor Membership in Asynchronous Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1994 |
Distributed systems
asynchronous systems |
0.0 | 1 | 1993 | Asynchronous Fault-Tolerant Total Ordering Algorithms · SIAM J. Comput. 1993 |
Distributed systems › fault tolerance
byzantine fault tolerance |
0.0 | 1 | 1993 | Asynchronous Fault-Tolerant Total Ordering Algorithms · SIAM J. Comput. 1993 |
Internet architecture and protocols › link-layer protocols
local area network protocol |
0.0 | 1 | 1990 | Broadcast Protocols for Distributed Systems · IEEE Trans. Parallel Distributed Syst. 1990 |
Methods — techniques the papers use, named apart from their topics
probabilistic termination · 0.0partial correctness proof · 0.0total order protocol · 0.0broadcast communication · 0.0protocol design · 0.0impossibility proof · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Processor Membership in Asynchronous Distributed SystemsabstractPresents protocols for determining processor membership in asynchronous distributed systems that are subject to processor and communication faults. These protocols depend on the placement of a total order on broadcast messages. The types of systems for which each of these protocols is applicable are characterized by the properties of the communication mechanisms and by the availability of stable storage. In the absence of stable storage or of a mechanism for distinguishing promptly delivered messages, the authors show that no membership protocol can exist. They also discuss their experience in implementing these membership protocols.> Louise E. Moser, P. M. Melliar-Smith, Vivek Agrawala |
IEEE Trans. Parallel Distributed Syst. | 3 |
| 1993 | Necessary and Sufficient Conditions for Broadcast Consensus Protocols
Louise E. Moser, P. M. Melliar-Smith, Vivek Agrawala |
Distributed Comput. | 3 |
| 1993 | Asynchronous Fault-Tolerant Total Ordering AlgorithmsabstractTwo novel efficient algorithms for placing a total order on messages in an asynchronous fault-tolerant distributed system are presented. The algorithms are resilient to fewer than ${n / 3}$ and ${n / 2}$ faulty processes in an n-process system. Partial correctness and probabilistic termination are demonstrated; it is also shown that there does not exist a total ordering algorithm that is guaranteed to terminate. A comparison of the complexity of the algorithms is given. Louise E. Moser, P. M. Melliar-Smith, Vivek Agrawala |
SIAM J. Comput. | 3 |
| 1991 | Membership algorithms for asynchronous distributed systemsabstractAlgorithms for solving the processor membership problem in asynchronous distributed systems that are subject to processor and communication faults are presented. These algorithms are based on the placement of a total order on broadcast messages. The types of systems for which each of these algorithms is appropriate are characterized in terms of the properties of the communication mechanisms and the availability of stable storage. In the absence of stable storage or a mechanism for distinguishing promptly delivery messages, it is shown that no membership algorithm exists.> Louise E. Moser, P. M. Melliar-Smith, Vivek Agrawala |
ICDCS | 3 |
| 1990 | Broadcast Protocols for Distributed SystemsabstractAn innovative approach is presented to the design of fault-tolerant distributed systems that avoids the several rounds of message exchange required by current protocols for consensus agreement. The approach is based on broadcast communication over a local area network, such as an Ethernet or a token ring, and on two novel protocols, the Trans protocol, which provides efficient reliable broadcast communication, and the Total protocol, which with high probability promptly places a total order on messages and achieves distributed agreement even in the presence of fail-stop, omission, timing, and communication faults. Reliable distributed operations, such as locking, update, and commitment, typically require only a single broadcast message rather than the several tens of messages required by current algorithms.> P. M. Melliar-Smith, Louise E. Moser, Vivek Agrawala |
IEEE Trans. Parallel Distributed Syst. | 3 |