Title :
Parallel Computing Framework as a Cloud Service
Author :
Lin, Rongheng ; Tu, Huake ; Zou, Hua
Author_Institution :
State Key Lab. of Networking & Switching, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Hadoop, the open-source implementation of MapReduce, has been widely used in different projects. However, when users want to use this parallel computing framework, they have to spend time on the Hadoop cluster configuration, learning the programming API, and the MapReduce job operations. This paper proposes the Parallel Computing Framework as a Cloud Service (PCFCS) to provide the users parallel computing cluster, and simplify the configuration, programming, uploading, and operating procedures. Especially, PCFCS defines a set of annotations, with which users can quickly build their own MapReduce job.
Keywords :
application program interfaces; cloud computing; parallel processing; API programming; Hadoop cluster configuration; MapReduce job operation; PCFCS; annotation set; application program interface; cloud service; configuration procedure; operating procedure; parallel computing cluster; parallel computing framework; programming procedure; uploading procedure; Educational institutions; Laboratories; Loading; Parallel processing; Programming; Switches; Web services; Annotation; Cloud Commputing; Hadoop; MapReduce; Parallel Computing;
Conference_Titel :
Web Services (ICWS), 2012 IEEE 19th International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-2131-0
DOI :
10.1109/ICWS.2012.55
