DocumentCode :
684594
Title :
Innesto: A Searchable Key/Value Store for Highly Dimensional Data
Author :
Najaran, Mahdi Tayarani ; Hutchinson, Norman C.
Author_Institution :
Comput. Sci. Dept., Univ. of British Columbia, Vancouver, BC, Canada
Volume :
1
fYear :
2013
fDate :
2-5 Dec. 2013
Firstpage :
411
Lastpage :
420
Abstract :
Key/value data storage systems serve as the fundamental component of scalable cloud-based services. However, the scalability of existing key/value data stores comes at the cost of a narrow data access API. We present Innesto, a distributed key/value data store that provides search as part of its API. Search allows data items to be retrieved based on constraints on multiple different attributes. Innesto´s strong consistency data model and its transactional interface bring much of the power of traditional relational databases to cloud-scale performance. Our evaluation of Innesto shows it offers these extra features with competitive performance compared to an industrial key/value data store such as Cassandra which offers an inferior feature set.
Keywords :
application program interfaces; cloud computing; storage management; Innesto; data access API; highly dimensional data; inferior feature set; key-value data storage systems; scalable cloud-based services; searchable key-value store; strong consistency data model; transactional interface; Availability; Cloning; Data models; Data storage systems; Distributed databases; Scalability; Servers; Cloud Storage; Consistency; Key/Value Store; Multi-Attribute Search; One-Round Transaction; Scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
Type :
conf
DOI :
10.1109/CloudCom.2013.60
Filename :
6753825
Link To Document :
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