Please use this identifier to cite or link to this item:

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
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
Publisher version
AccessOpen access
Appears in Collections:HASLab - Artigos em atas de conferências internacionais (texto completo)

Files in This Item:
File SizeFormat 
744.pdf382,11 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID