Akon Dey
Titel
Zitiert von
Zitiert von
Jahr
Ground: A Data Context Service.
JM Hellerstein, V Sreekanti, JE Gonzalez, J Dalton, A Dey, S Nag, ...
CIDR, 2017
732017
YCSB+T: Benchmarking web-scale transactional databases
A Dey, A Fekete, R Nambiar, U Rohm
Data Engineering Workshops (ICDEW), 2014 IEEE 30th International Conference …, 2014
662014
Introducing TPCx-HS: the first industry standard for benchmarking big data systems
R Nambiar, M Poess, A Dey, P Cao, T Magdon-Ismail, A Bond
Technology Conference on Performance Evaluation and Benchmarking, 1-12, 2014
322014
Scalable transactions across heterogeneous NoSQL key-value data stores
A Dey, A Fekete, U Röhm
Proceedings of the VLDB Endowment 6 (12), 1434-1439, 2013
252013
Towards an extensible middleware for database benchmarking
D Bermbach, J Kuhlenkamp, A Dey, S Sakr, R Nambiar
Technology Conference on Performance Evaluation and Benchmarking, 82-96, 2014
212014
Benchfoundry: A benchmarking framework for cloud storage services
D Bermbach, J Kuhlenkamp, A Dey, A Ramachandran, A Fekete, S Tai
International Conference on Service-Oriented Computing, 314-330, 2017
162017
Scalable distributed transactions across heterogeneous stores
A Dey, A Fekete, U Rohm
IEEE 31st International Conference on Data Engineering (ICDE), 2015, 125-136, 2015
92015
REST+T: Scalable Transactions over HTTP
A Dey, A Fekete, U Röhm
IEEE International Conference on Cloud Engineering (IC2E), 2015, 36-41, 2015
92015
Metadata-as-a-service
A Dey, G Chinchwadkar, A Fekete, K Ramachandran
2015 31st IEEE International Conference on Data Engineering Workshops, 6-9, 2015
82015
Curracurrong cloud: Stream processing in the cloud
V Kakkad, A Dey, A Fekete, B Scholz
2014 IEEE 30th International Conference on Data Engineering Workshops, 207-214, 2014
52014
Cherry Garcia: Transactions across Heterogeneous Data Stores
AS Dey
University of Sydney, 2015
32015
Methods and systems for tracking event loss
A Dey, G Golani, W Hasan, K Ramachandran, N Madhav, RS Murthy, ...
US Patent App. 11/961,297, 2009
22009
Constructing a Data Pipeline Having Scalability and Low Latency
A Nadgir, P Sadhu, G Golani, A Dey
US Patent 9,723,089, 2010
12010
Consistent Freshness-Aware Caching for Multi-Object Requests
M Rajani, U Röhm, A Dey
International Conference on Web Information Systems Engineering, 262-277, 2014
2014
Processing an Event Stream for a Data Pipeline
A Nadgir, P Sadhu, A Dey
US Patent App. 12/423,491, 2010
2010
Publications for Uwe Roehm
A Dey, A Fekete
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–16