Data Management in the Cloud: Limitations and Opportunities

By Daniel J. Abadi. IEEE Data Engineering Bulletin, 2009

571 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a3d1fb532bf4297ae9608bdc09ae5464ef58ee30

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Rodrigo Neves Calheiros
2. Rajkumar Buyya
3. Marcos Dias de Assunção
4. Dursun Delen
5. S. Bianchi
6. M. Netto
7. M. Alomari
8. Sherif Sakr

Citations in the corpus

• NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison (2013, background): “Computational and storage requirements of applications such as for Big Data Analytics [9], Business Intelligence [10] and social networking over peta-byte datasets have pushed SQL-like centralized databases to their limits [5].”
• Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud (2013, unknown): “Resource availability is typically elastic, with a seemingly in fi nite amount of computing power and storage space available on demand, in a pay-only-for-what-you-use pricing model [1].”
• Big Data computing and clouds: Trends and future directions (2013, background): “This is the case of issues such as data quality [36] and data provenance [37].”
• Secure k-nearest neighbor query over encrypted data in outsourced environments (2013, background): “ y privacy. One straightforward way to protect the confidentiality of th e outsourced data from the cloud as well as from the unauthorized users is to encrypt data by the data owner before outsourcing [1,15,19]. By this way, the data owner can protect the privacy of his/her own data. In addition, to ”
• Data, information and analytics as services (2013, background): “Data can reside in a local computer or in a server at a server farm in a cloud computing environment [1].”
• A Survey of Large Scale Data Management Approaches in Cloud Environments (2011, background): “Armbrust et al. [7] and Abadi [30] argued a list of obstacles to the growth of cloud computing applications as follows.”