Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/38933

TitleScalable transactions in the cloud: partitioning revisited
Author(s)Maia, Francisco António Ferraz Martins Almeida
Armendáriz-Íñigo, José Enrique
Ruiz-Fuertes, M. I.
Oliveira, Rui Carlos Mendes de
KeywordsDistributed systems
Cloud computing
Transactional support
Issue date2010
PublisherSpringer
JournalLecture Notes in Computer Science
Abstract(s)Cloud computing is becoming one of the most used paradigms to deploy highly available and scalable systems. These systems usually demand the management of huge amounts of data, which cannot be solved with traditional nor replicated database systems as we know them. Recent solutions store data in special key-value structures, in an approach that commonly lacks the consistency provided by transactional guarantees, as it is traded for high scalability and availability. In order to ensure consistent access to the information, the use of transactions is required. However, it is well-known that traditional replication protocols do not scale well for a cloud environment. Here we take a look at current proposals to deploy transactional systems in the cloud and we propose a new system aiming at being a step forward in achieving this goal. We proceed to focus on data partitioning and describe the key role it plays in achieving high scalability.
TypeConference paper
DescriptionLecture Notes in Computer Science, 6427
URIhttp://hdl.handle.net/1822/38933
ISBN978-3-642-16948-9
DOI10.1007/978-3-642-16949-6_8
ISSN0302-9743
Publisher versionhttp://link.springer.com/chapter/10.1007%2F978-3-642-16949-6_8
Peer-Reviewedyes
AccessOpen access
Appears in Collections:HASLab - Artigos em atas de conferências internacionais (texto completo)

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