Fernando André

dblp:77/9446 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Systems, architecture and hardware · 2

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
Cloud and datacenter computing · 50% Storage systems · 39% Distributed systems · 11%
Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%

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

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › cloud storage
cloud-of-clouds
0.322013
DepSky: Dependable and Secure Storage in a Cloud-of-Clouds · ACM Trans. Storage 2013
DepSky: dependable and secure storage in a cloud-of-clouds · EuroSys 2011
Cloud and datacenter computing
cloud storage
0.322013
DepSky: Dependable and Secure Storage in a Cloud-of-Clouds · ACM Trans. Storage 2013
DepSky: dependable and secure storage in a cloud-of-clouds · EuroSys 2011
Storage systems
storage reliability
0.322013
DepSky: Dependable and Secure Storage in a Cloud-of-Clouds · ACM Trans. Storage 2013
DepSky: dependable and secure storage in a cloud-of-clouds · EuroSys 2011
Storage systems
dependable storage
0.212013
DepSky: Dependable and Secure Storage in a Cloud-of-Clouds · ACM Trans. Storage 2013
Distributed systems
replication
0.112011
DepSky: dependable and secure storage in a cloud-of-clouds · EuroSys 2011
Cryptographic primitives and cryptanalysis
encryption
0.012011
DepSky: dependable and secure storage in a cloud-of-clouds · EuroSys 2011

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

replication · 0.4encryption · 0.4encoding · 0.2secret sharing · 0.2
YearPublicationVenuePosition
2013 DepSky: Dependable and Secure Storage in a Cloud-of-Clouds
abstract
The increasing popularity of cloud storage services has lead companies that handle critical data to think about using these services for their storage needs. Medical record databases, large biomedical datasets, historical information about power systems and financial data are some examples of critical data that could be moved to the cloud. However, the reliability and security of data stored in the cloud still remain major concerns. In this work we present DepSky, a system that improves the availability, integrity, and confidentiality of information stored in the cloud through the encryption, encoding, and replication of the data on diverse clouds that form a cloud-of-clouds. We deployed our system using four commercial clouds and used PlanetLab to run clients accessing the service from different countries. We observed that our protocols improved the perceived availability, and in most cases, the access latency, when compared with cloud providers individually. Moreover, the monetary costs of using DepSky in this scenario is at most twice the cost of using a single cloud, which is optimal and seems to be a reasonable cost, given the benefits.
Alysson Neves Bessani, Miguel Correia 0001, Bruno Quaresma, Fernando André, Paulo Sousa 0001
ACM Trans. Storage4
2011 DepSky: dependable and secure storage in a cloud-of-clouds
abstract
The increasing popularity of cloud storage services has lead companies that handle critical data to think about using these services for their storage needs. Medical record databases, power system historical information and financial data are some examples of critical data that could be moved to the cloud. However, the reliability and security of data stored in the cloud still remain major concerns. In this paper we present DEPSKY, a system that improves the availability, integrity and confidentiality of information stored in the cloud through the encryption, encoding and replication of the data on diverse clouds that form a cloud-of-clouds. We deployed our system using four commercial clouds and used PlanetLab to run clients accessing the service from different countries. We observed that our protocols improved the perceived availability and, in most cases, the access latency when compared with cloud providers individually. Moreover, the monetary costs of using DEPSKY on this scenario is twice the cost of using a single cloud, which is optimal and seems to be a reasonable cost, given the benefits.
Alysson Neves Bessani, Miguel Correia 0001, Bruno Quaresma, Fernando André, Paulo Sousa 0001
EuroSys4