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Volumn 13, Issue 2, 2018, Pages 37-47

Big Data Handling Over Cloud for Internet of Things

Author keywords

Big Data; Cloud Computing; Data Storage; Internet of Things(Iot); Sensors

Indexed keywords

AUTOMATION; CLOUD COMPUTING; DATA HANDLING; DATA STORAGE EQUIPMENT; DIGITAL STORAGE; INFORMATION MANAGEMENT; INTELLIGENT BUILDINGS; INTERNET OF THINGS; REAL TIME SYSTEMS; SENSORS; STORAGE MANAGEMENT; UBIQUITOUS COMPUTING;

EID: 85042091532     PISSN: 15541045     EISSN: 15541053     Source Type: Journal    
DOI: 10.4018/IJITWE.2018040104     Document Type: Article
Times cited : (10)

References (41)
  • 4
    • 85031418925 scopus 로고    scopus 로고
    • Big Data on Internet of Things: Applications, Architecture, Technologies, Techniques, and Future Directions
    • Aly, H., Elmogy, M., & Barakat, S. (2015). Big Data on Internet of Things: Applications, Architecture, Technologies, Techniques, and Future Directions. International Journal on Computer Science and Engineering, 4(6), 300–313.
    • (2015) International Journal on Computer Science and Engineering , vol.4 , Issue.6 , pp. 300-313
    • Aly, H.1    Elmogy, M.2    Barakat, S.3
  • 5
    • 84914158898 scopus 로고    scopus 로고
    • Mobile storage augmentation in mobile cloud computing: Taxonomy, approaches, and open issues
    • ).
    • Aminzadeh, N., Sanaei, Z., & Ab Hamid, S. H. (2015). Mobile storage augmentation in mobile cloud computing: Taxonomy, approaches, and open issues. Simulation Modeling Practice and Theory, 50, 96–108. doi:10.1016/j. simpat.2014.05.009
    • (2015) Simulation Modeling Practice and Theory , vol.50 , pp. 96-108
    • Aminzadeh, N.1    Sanaei, Z.2    Ab Hamid, S.H.3
  • 6
    • 85042086082 scopus 로고    scopus 로고
    • Apache Hadoop. Retrieved March, 2017 from
    • Apache Hadoop. (n.d.). Retrieved March, 2017 from http://hadoop.apache.org/
  • 8
    • 84928129071 scopus 로고    scopus 로고
    • Architecture and Implementation of a scalable sensor data storage and analysis system using cloud computing and big data technologies
    • Aydin, G., Hallac, I. R., & Karakus, B. (2015). Architecture and Implementation of a scalable sensor data storage and analysis system using cloud computing and big data technologies. Journal of Sensors.
    • (2015) Journal of Sensors
    • Aydin, G.1    Hallac, I.R.2    Karakus, B.3
  • 11
    • 84900800509 scopus 로고    scopus 로고
    • Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
    • August).
    • Chen, C. L. P., & Zhang, C. Y. (2014, August). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314–347. doi:10.1016/j.ins.2014.01.015
    • (2014) Information Sciences , vol.275 , pp. 314-347
    • Chen, C.L.P.1    Zhang, C.Y.2
  • 19
    • 77953085540 scopus 로고    scopus 로고
    • Wireless home automation networks: A survey of architectures and technologies
    • May). )
    • Gomez, C., & Paradells, J. (2010, May). Wireless home automation networks: A survey of architectures and technologies. IEEE Communications Magazine, 48(6), 92–101. doi:10.1109/MCOM.2010.5473869
    • (2010) IEEE Communications Magazine , vol.48 , Issue.6 , pp. 92-101
    • Gomez, C.1    Paradells, J.2
  • 27
    • 84924299962 scopus 로고    scopus 로고
    • Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework
    • Li, Z., Yang, C., Jin, B., Yu, M., Liu, K., Sun, M., & Zhan, M. (2015). Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework. PloS one, 10(3).
    • (2015) PloS One , vol.10 , Issue.3
    • Li, Z.1    Yang, C.2    Jin, B.3    Yu, M.4    Liu, K.5    Sun, M.6    Zhan, M.7
  • 34
    • 84867774920 scopus 로고    scopus 로고
    • Apache hadoop: The scalability update
    • Shvachko, K. V. (2011). Apache hadoop: The scalability update. login: The Magazine of USENIX, 36, 7-13.
    • (2011) Login: The Magazine of USENIX , vol.36 , pp. 7-13
    • Shvachko, K.V.1
  • 35
    • 84924221125 scopus 로고    scopus 로고
    • An Adaptive and Memory Efficient Sampling Mechanism for Partitioning in MapReduce
    • Slagter, K., Hsu, C. H., & Chung, Y. C. (2015). An Adaptive and Memory Efficient Sampling Mechanism for Partitioning in MapReduce. International Journal of Parallel Programming, 43(3), 489–507. doi:10.1007/ s10766-013-0288-z
    • (2015) International Journal of Parallel Programming , vol.43 , Issue.3 , pp. 489-507
    • Slagter, K.1    Hsu, C.H.2    Chung, Y.C.3
  • 40
    • 38549155648 scopus 로고    scopus 로고
    • ZigBee standards organization
    • ZigBee standards organization. (2008). ZigBee Specification.
    • (2008) ZigBee Specification


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.