HPCLOUD: A novel fault tolerant architectural model for hierarchical MapReduce

Author

Gangeshwari, R. ; Subbiah, Janani ; Malathy, K. ; Miriam, D. Doreen Hephzibah

Author_Institution

Comput. Sci. & Eng., Sri Venkateswara Coll. of Eng., Chennai, India

fYear

2012

fDate

19-21 April 2012

Firstpage

179

Lastpage

184

Abstract

MapReduce algorithm is a scheduling algorithm that can be used to process large amounts of data efficiently. Process scheduling is an application that uses the mapreduce technique. Hyper Cubic Peer-to-Peer Cloud (HPCLOUD) is a structured peer to peer framework implemented on a cloud environment on which mapreduce technique can be applied for process scheduling. In addition, fault tolerance and load balancing can be achieved on the HPCLOUD architecture. The performance evaluation shows that system proposed to demonstrate improved performance in terms of response time with respect to increase in number of files.

Keywords

cloud computing; peer-to-peer computing; scheduling; software fault tolerance; HPCLOUD; MapReduce algorithm; fault tolerant architectural model; hierarchical MapReduce; hyper cubic peer-to-peer cloud; process scheduling; scheduling algorithm; structured peer-to-peer framework; Computer architecture; Fault tolerance; Fault tolerant systems; Indexes; Load management; Peer to peer computing; Virtual machining; Cloud; Fault tolerance; HPCLOUD; MapReduce; Peer-to-Peer; Process Scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Trends In Information Technology (ICRTIT), 2012 International Conference on

Conference_Location

Chennai, Tamil Nadu

Print_ISBN

978-1-4673-1599-9

Type

conf

DOI

10.1109/ICRTIT.2012.6206822

Filename

6206822