HPC-ABDS high performance computing enhanced apache big data stack

Geoffrey C. Fox, Judy Qiu, Supun Kamburugamuve, Shantenu Jha, Andre Luckow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Scopus citations

Abstract

We review the High Performance Computing Enhanced Apache Big Data Stack HPC-ABDS and summarize the capabilities in 21 identified architecture layers. These cover Message and Data Protocols, Distributed Coordination, Security & Privacy, Monitoring, Infrastructure Management, DevOps, Interoperability, File Systems, Cluster & Resource management, Data Transport, File management, NoSQL, SQL (NewSQL), Extraction Tools, Object-relational mapping, In-memory caching and databases, Inter-process Communication, Batch Programming model and Runtime, Stream Processing, High-level Programming, Application Hosting and PaaS, Libraries and Applications, Workflow and Orchestration. We summarize status of these layers focusing on issues of importance for data analytics. We highlight areas where HPC and ABDS have good opportunities for integration.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1057-1066
Number of pages10
ISBN (Electronic)9781479980062
DOIs
StatePublished - Jul 7 2015
Event15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015 - Shenzhen, China
Duration: May 4 2015May 7 2015

Publication series

NameProceedings - 2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015

Other

Other15th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2015
Country/TerritoryChina
CityShenzhen
Period5/4/155/7/15

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computer Networks and Communications
  • Software

Keywords

  • Apache big data stack
  • HPC

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