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Nayla Nassif

dblp:83/4560 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2Databases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1Theory of computation · 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.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Interconnection networks and networks-on-chip · 74% Distributed systems · 19% Parallel and multicore computing · 7%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip › network topology › cayley graph
star graph
0.021996
Embedding an Arbitrary Binary Tree into the Star Graph · IEEE Trans. Computers 1996
A Routing and Broadcasting Scheme on Faulty Star Graphs · IEEE Trans. Computers 1993
Interconnection networks and networks-on-chip › graph embedding
binary tree embedding
0.011996
Embedding an Arbitrary Binary Tree into the Star Graph · IEEE Trans. Computers 1996
Distributed systems › consensus › byzantine broadcast
fault-tolerant broadcast
0.011993
A Routing and Broadcasting Scheme on Faulty Star Graphs · IEEE Trans. Computers 1993
Interconnection networks and networks-on-chip › routing algorithms
fault-tolerant routing
0.011993
A Routing and Broadcasting Scheme on Faulty Star Graphs · IEEE Trans. Computers 1993
Distributed systems
fault tolerance
0.011993
A Routing and Broadcasting Scheme on Faulty Star Graphs · IEEE Trans. Computers 1993

Methods — techniques the papers use, named apart from their topics

graph embedding · 0.0dilation and load analysis · 0.0performance analysis · 0.0depth-first search · 0.0backtracking · 0.0
YearPublicationVenuePosition
2003 Group-to-Group Distance Collaboration: Examining the "Space Between"
Gloria Mark, Steve Abrams, Nayla Nassif
ECSCW3
1996 A Grid Embedding into the Star Graph for Image Analysis Solutions
Nayla Nassif, Nader Bagherzadeh
Inf. Process. Lett.1
1996 Embedding an Arbitrary Binary Tree into the Star Graph
abstract
Binary tree structures have been very useful in solving divide-and-conquer type of problems. Embedding binary trees into another network-the host network-helps in designing solutions for the host network using the known solutions on binary trees. Embedding arbitrary binary trees into networks, in particular into the hypercube, has been addressed in the literature. The latter was achieved with load 1 and constant dilation. The n-star graph is a recently introduced interconnection network for massively parallel systems. It enjoys symmetry and fault tolerance properties that make it a viable alternative to the hypercube. In this paper, we address the problem of embedding arbitrary binary trees into the n-star graph. This work is the first to present such an embedding. The tree has [e(n-1)1] or fewer vertices. The embedding leads to load 1 and constant dilation for all values of n. It therefore enables the star graph to efficiently simulate an arbitrary binary tree with only a constant factor of communication delay.
Nader Bagherzadeh, Martin Dowd, Nayla Nassif
IEEE Trans. Computers3
1993 A Routing and Broadcasting Scheme on Faulty Star Graphs
abstract
The authors present a routing algorithm that uses the depth first search approach combined with a backtracking technique to route messages on the star graph in the presence of faulty links. The algorithm is distributed and requires no global knowledge of faults. The only knowledge required at a node is the state of its incident links. The routed message carries information about the followed path and the visited nodes. The algorithm routes messages along the optimal, i.e., the shortest path if no faults are encountered or if the faults are such that an optimal path still exists. In the absence of an optimal path, the algorithm always finds a path between two nodes within a bounded number of hops if the two nodes are connected. Otherwise, it returns the message to the originating node. The authors provide a performance analysis for the case where an optimal path does not exist. They prove that for a maximum of n-2 faults on a graph with N=n! nodes, at most 2i+2 steps are added to the path, where i is O( square root n). Finally, they use the routing algorithm to present an efficient broadcast algorithm on the star graph in the presence of faults.>
Nader Bagherzadeh, Nayla Nassif, Shahram Latifi
IEEE Trans. Computers2