Database Reference
In-Depth Information
32. Jaql: Query Language for JavaScript(r) Object Notation (JSON). http://code.google.com/p/
jaql/ .
33. KVM (Kernel-based Virtual Machine). http://www.linux-kvm.org/ .
34. List of NoSQL Databases. http://NoSQL-database.org/ .
35. Memcached: a distributed memory object caching system. http://memcached.org/ .
36. Microsoft Appliance: Parallel Data Warehouse (PDW). http://www.microsoft.com/sqlserver/
en/us/solutions-technologies/data-warehousing/pdw.aspx .
37. Microsoft Windows Azure). http://www.windowsazure.com/ .
38. MongoDB: an open-source document database. http://www.mongodb.org/ .
39. Neo4J: Graph Database System. http://neo4j.org/ .
40. ParAccel Big Data Analytics Platform. http://www.paraccel.com/ .
41. Riak: a distributed key-value storage system. http://wiki.basho.com/display/RIAK/Riak .
42. RUBiS: Rice University Bidding System. http://rubis.ow2.org/ .
43. SalesForce Cloud Solutions. http://salesforce.com/ .
44. SQL Azure Database. http://www.windowsazure.com/en-us/services/data-management/ .
45. Teradata Inc. http://teradata.com/ .
46. The DZero Experiment. http://www-d0.fnal.gov/ .
47. The Storm Project. https://github.com/nathanmarz/storm/ .
48. The Xen Project). http://xen.org/ .
49. TPC-W: a transactional web e-Commerce benchmark. http://www.tpc.org/tpcw/ .
50. Twister: Iterative MapReduce. http://www.iterativemapreduce.org/ .
51. Vertica Systems Inc. http://www.vertica.com/ .
52. Voldemort: a distributed key-value storage system. http://project-voldemort.com/ .
53. YCSB++ Benchmark - Project Webpage. http://www.pdl.cmu.edu/ycsb++/index.shtml .
54. YCSB: Yahoo! Cloud Serving Benchmark . http://wiki.github.com/brianfrankcooper/YCSB/ .
55. Zoho Suite of Online Web Applications. http://www.zoho.com/ .
56. Daniel Abadi. Data management in the cloud: Limitations and opportunities. Data Eng. Bull. ,
32(1):3-12, March 2009.
57. Daniel Abadi. Consistency tradeoffs in modern distributed database system design: CAP is
only part of the story. Computer , 45(2):37-42, February 2012.
58. Azza Abouzeid, Kamil Bajda-Pawlikowski, Daniel Abadi, Avi Silberschatz, and Alexander
Rasin. HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for
analytical workloads. Proc. VLDB Endow. , 2(1):922-933, August 2009.
59. Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Huang, Daniel J. Abadi, and Avi Silber-
schatz. HadoopDB in action: Building real world applications. In Proceedings of the 2010
ACM SIGMOD International Conference on Management of Data , SIGMOD '10, pages
1111-1114, New York, NY, USA, 2010. ACM.
60. Foto N. Afrati and Jeffrey D. Ullman. Optimizing joins in a map-reduce environment. In
EDBT , pages 99-110, 2010.
61. Foto N. Afrati and Jeffrey D. Ullman. Optimizing Multiway Joins in a Map-Reduce
Environment. IEEE TKDE , 23(9):1282-1298, 2011.
62. Divyakant Agrawal, Amr El Abbadi, Fatih Emekci, and Ahmed Metwally. Database man-
agement as a service: Challenges and opportunities. In Proceedings of the 25th IEEE
International Conference on Data Engineering , ICDE '09, pages 1709-1716, Shanghai,
China, March 2009. IEEE Computer Society.
63. Mohammad Alrifai and Thomas Risse. Combining global optimization with local selection
for efficient QoS-aware service composition. In Proceedings of the 18th international
conference on World wide web , WWW '09, pages 881-890, New York, NY, USA, 2009.
ACM.
64. Ahmed M. Aly, Asmaa Sallam, Bala M. Gnanasekaran, Long-Van Nguyen-Dinh, Walid G.
Aref, Mourad Ouzzaniy, and Arif Ghafoor. M 3 : Stream Processing on Main-Memory
MapReduce. In ICDE , 2012.
65. Eric Anderson, Xiaozhou Li, Mehul A. Shah, Joseph Tucek, and Jay J. Wylie. What
consistency does your key-value store actually provide? In HotDep , 2010.
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