Maissa Jabri

dblp:148/1914 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

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

Computer networks · 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
1 paper
Cloud and datacenter computing · 91% Distributed systems · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cloud service reliability
0.212014
Venice: Reliable virtual data center embedding in clouds · INFOCOM 2014
Cloud and datacenter computing › resource allocation › resource mapping
virtual data center embedding
0.212014
Venice: Reliable virtual data center embedding in clouds · INFOCOM 2014
Cloud and datacenter computing › datacenter architecture
virtualized datacenter
0.212014
Venice: Reliable virtual data center embedding in clouds · INFOCOM 2014
Distributed systems
fault tolerance
0.112014
Venice: Reliable virtual data center embedding in clouds · INFOCOM 2014

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

availability modeling · 0.2
YearPublicationVenuePosition
2014 Venice: Reliable virtual data center embedding in clouds
abstract
Cloud computing has become a cost-effective model for deploying online services in recent years. To improve the Quality-of-Service (QoS) of the provisioned services, recently a number of proposals have advocated to provision both guaranteed server and network resources in the form of Virtual Data Centers (VDCs). However, existing VDC scheduling algorithms have not fully considered the reliability aspect of the allocations in terms of (1) hardware failure characteristics on which the service is hosted, and (2) the impact of individual failures on service availability, given the dependencies among the virtual components. To address this limitation, in this paper we present a technique for computing VDC availability that considers heterogeneous hardware failure rates and dependencies among virtual components. We then propose Venice, an availability-aware VDC embedding framework for achieving high VDC availability and low operational costs. Experiments show Venice can significantly improve VDC availability while achieving higher income compared to availability-oblivious solutions.
Qi Zhang 0008, Mohamed Faten Zhani, Maissa Jabri, Raouf Boutaba
INFOCOM3