VLDB 2026 Research / reviewers in the wild / expert
Tariq Omari
dblp:17/940
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 |
Performance modeling and evaluation · 87% Distributed systems · 13% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation › queueing models › queueing network model
layered queueing networks |
0.1 | 1 | 2009 | Enhanced Modeling and Solution of Layered Queueing Networks · IEEE Trans. Software Eng. 2009 |
Performance modeling and evaluation
queueing models |
0.1 | 1 | 2009 | Enhanced Modeling and Solution of Layered Queueing Networks · IEEE Trans. Software Eng. 2009 |
Distributed systems › distributed system architecture
client-server systems |
0.0 | 1 | 2009 | Enhanced Modeling and Solution of Layered Queueing Networks · IEEE Trans. Software Eng. 2009 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.1queueing network analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Enhanced Modeling and Solution of Layered Queueing NetworksabstractLayered queues are a canonical form of extended queueing network for systems with nested multiple resource possession, in which successive depths of nesting define the layers. The model has been applied to most modern distributed systems, which use different kinds of client-server and master-slave relationships, and scales up well. The layered queueing network (LQN) model is described here in a unified fashion, including its many more extensions to match the semantics of sophisticated practical distributed and parallel systems. These include efficient representation of replicated services, parallel and quorum execution, and dependability analysis under failure and reconfiguration. The full LQN model is defined here and its solver is described. A substantial case study to an air traffic control system shows errors (compared to simulation) of a few percent. The LQN model is compared to other models and solutions, and is shown to cover all their features. Greg Franks, Tariq Omari, C. Murray Woodside, Olivia Das, Salem Derisavi |
IEEE Trans. Software Eng. | 2 |
| 2007 | Efficient performance models for layered server systems with replicated servers and parallel behaviour
Tariq Omari, Greg Franks, C. Murray Woodside, Amy Pan |
J. Syst. Softw. | 1 |
| 2004 | Traveling Token for Dynamic Load BalancingabstractLoad distribution improves performance of a computer network by transferring tasks from heavily loaded computers, where service is poor, to lightly loaded computers, where the tasks can take advantage of an available computing capacity that would otherwise go unused. In This work, a traveling token concept for dynamic load balancing protocol is proposed. Instead of each computer probing other computers often resulting in unsuccessful probing, we take a different approach that makes the identity of the heavily loaded and lightly loaded computers better known to other computers. The results of our simulation show that the proposed protocol outperforms other existing protocols implemented in our simulator almost in all cases we tested. Tariq Omari, Seyed Hossein Hosseini 0001, K. Vairavan |
NCA | 1 |