Towards Efficient and Flexible Object Storage Using Resource and Functional Partitioning

Modern storage systems are designed to manage data without considering the dynamicity of user or resource requirements. This design approach does not consider the complexities of the dynamically changing runtime application behaviors as well as the unique features of underlying resources. To this end, this dissertation studies how resource and functional partitioning strategies can improve efficiency and flexibility of object stores. This dissertation presents a series of practical and efficient techniques, algorithms, and optimizations to realize efficient and flexible object stores. The experimental evaluation demonstrates the effectiveness of our design choices and strategies to make object stores flexible and resource-aware.

Name thesis:degree_name

Ph. D.

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Computer Science and Applications

Department dc:contributor.department

Computer Science

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2018

Author dc:creator

• Anwar, Ali

Chair dc:contributor.committeechair

• Butt, Ali R.

Committee members dc:contributor.committeemember

• Tilevich, Eli
• Kafura, Dennis G.
• Nikolopoulos, Dimitrios S.
• Yao, Danfeng (Daphne)

• Object Stores
• Key-Value Stores
• Flexibility
• Efficiency

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

vt_gsexam:14814

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/83508