DocumentCode
2496941
Title
Towards elastic key-value stores on IaaS
Author
Han Li ; Venugopal, S.
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear
2013
fDate
8-12 April 2013
Firstpage
302
Lastpage
305
Abstract
Key-value stores such as Cassandra and HBase have gained popularity as for their scalability and high availability in the face of heavy workloads and hardware failure. Many enterprises are deploying applications backed by key-value stores on to resources leased from Infrastructure as a Service (IaaS) providers. However, current key-value stores are unable to take full advantage of the resource elasticity provided by IaaS providers due to several challenges: i) high performance of data access in virtualised environments; ii) load-rebalancing as the system scales up and down; and iii) the lack of autoscaling controllers. In this paper I present my research efforts on addressing these issues to provide an elastic key-value store deployed in IaaS environments.
Keywords
cloud computing; resource allocation; virtual machines; virtualisation; IaaS environments; cloud computing; data access high performance; elastic key-value stores; infrastructure-as-a-service; lack-of-autoscaling controllers; load-rebalancing; resource elasticity; virtualised environments; Cloud computing; Data models; Databases; Elasticity; Peer-to-peer computing; Random access memory; Scalability;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
Conference_Location
Brisbane, QLD
Print_ISBN
978-1-4673-5303-8
Electronic_ISBN
978-1-4673-5302-1
Type
conf
DOI
10.1109/ICDEW.2013.6547469
Filename
6547469
Link To Document