Scalable Data Management for Object-based Storage Systems

Scalable Data Management for Object-based Storage Systems

Parallel I/O performance is crucial to sustain scientific applications on large-scale High-Performance Computing (HPC) systems. Large scale distributed storage systems, in particular the object-based storage systems, face severe challenges for managing the data efficiently. Inefficient...

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Bibliographic Details
Main Author: Wadhwa, Bharti
Other Authors: Computer Science
Format: Others
Published: Virginia Tech 2020
Subjects:
Lustre
Ceph
High Performance Computing
Parallel File Systems
ParallelI/O Optimization
Load Imbalance
Resource Contention
Online Access:http://hdl.handle.net/10919/99791

Internet

http://hdl.handle.net/10919/99791

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