Title :
A Virtualized Hybrid Distributed File System
Author :
Xingyu Zhou ; Liangyu He
Author_Institution :
Sch. of Inf. Sci. & Technol., Southeast Univ., Nanjing, China
Abstract :
We have designed a virtualized hybrid distributed file system for large scale data storage. It ensembles the characteristic of fault tolerance based on inexpensive commodity hardware inherited from the classic Google File System but also integrates the advantage of the P2P network. While sharing many of the same goals as previous distributed file systems, this new system design aims to reduce the scale and previously necessary space, bandwidth and energy consumptions of the data center and reduces the cost of running a large-scale distributed file system. Traditionally, only local or inner-enterprise servers are used for constructing cloud-computing network for a certain enterprise. This new design tries to induce a new method of integrating leisure hard-disk space, bandwidth and CPU capacity of from external sources. With a distributed data storage network and an inner-enterprise server system as a central controller, large clusters of data can be managed in a classic C/S like way and data can be transmitted like the P2P network. To ensure security, more stratified virtualization is required to ensure the isolation between realistic file owner and storage space provider. Workload estimations have been conducted to test the efficiency of time and space in this design.
Keywords :
client-server systems; distributed databases; fault tolerant computing; network operating systems; peer-to-peer computing; security of data; virtualisation; C/S; CPU capacity; Google File System; P2P network; bandwidth capacity; distributed data storage network; fault tolerance; inner-enterprise server system; large data clusters management; large scale data storage; leisure hard-disk space; realistic file owner; security; storage space provider; virtualization; virtualized hybrid distributed file system; workload estimations; Bandwidth; Computer architecture; Distributed databases; Estimation; File systems; Google; Servers; Distributed file system; P2P; data storage; hybrid network;
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2013 International Conference on
Conference_Location :
Beijing
DOI :
10.1109/CyberC.2013.39