Title :
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
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;
Conference_Titel :
Recent Trends In Information Technology (ICRTIT), 2012 International Conference on
Conference_Location :
Chennai, Tamil Nadu
Print_ISBN :
978-1-4673-1599-9
DOI :
10.1109/ICRTIT.2012.6206822