Acta Scientific Computer Sciences (ASCS)

Review Article Volume 2 Issue 3

Challenge of Handling Big Data in Smart Cities with Fog Computing

Toseef Aslam*

Department of Computer Science and Information Technology, University of Management and Technology, Sialkot Campus Pakistan

*Corresponding Author: Toseef Aslam, Department of Computer Science and Information Technology, University of Management and Technology, Sialkot Campus Pakistan.

Received: January 07, 2020; Published: February 10, 2020

×

Abstract

  The smart cities are concentrated on supervisory available resources safe and sound, defensible, and efficiently to develop the economy and social results. People, organizations, and things in the cities are producing huge amount of data daily. Thus, big data created from several resources is supposed to be the most scalable quality of a smart city. In the current decade Managing Big data generated by vital connected devices are difficult to handle, for handling this difficulty “big data” an efficient computing platform “fog computing” has been proposed. It is standard that is extending the cloud computing services to the edge of the network and is used for reducing the latency of dynamic decision making and improving the real-time performance.as internet of hinges of things consists of minute and the resource restraint device that are connected to the internet.

Keywords: Big Data; Smart Cities; Fog Computing; Cloud Computing; Data

×

References

  1. C a. Balanis Antenna Theory: Analysis and Design 28.3 (2012). 
  2. D Petcu. “IJACSA Editorial from the Desk of Managing Editor…”. (2010). 
  3. L Tian., et al. “Video big data in smart city: Background construction and optimization for surveillance video processing”. Future Generation Computing Systems (2018): 1371-1382. 
  4. VC_Muthu_Transaction_R2_final.pdf. 
  5. VC_FGCS_stor_per_cloud_BD_accepted.pdf. 
  6. TheRoleofBigDatainSmartCity-Finalversion.pdf. 
  7. AT Hashem., et al. “The rise of „big data‟ on cloud computing: Review and open research issues”. Information Systems 47 (2015): 98-115. 
  8. “Modeling and Processing for Next Generation Big Data Technologies”. (2015).
  9. M Fazio., et al. “Big data storage in the cloud for smart environment monitoring”. Procedia Computer Science 52. 1 (2015): 500-506.
  10. AT Hashem., et al. “The role of big data in smart city”. International Journal of Information Management 36.5 (2016): 748-758. 
  11. K Ben Ahmed., et al. “Age of Big Data and Smart Cities: Privacy Trade- Off”. International Journal for Trends in Engineering and Technology 16.6 (2014): 298-304. 
  12. “RK-Real-time-City.pdf”. 
  13. PK Senyo., et al. “Cloud computing research: A review of research themes, frameworks, methods and future research directions”. International Journal of Information Management 38. 1 (2018): 128-139. 
  14. L Mayangsari and S Novani. “Multi-stakeholder co-creation Analysis in Smart city Management: An Experience from Bandung, Indonesia”. Procedia Manufacturing (2015): 315-321. 
  15. M Jaradat., et al. “The internet of energy: Smart sensor networks and big data management for smart grid”. Procedia Computer Science 56. 1 (2015): 592-597. 
  16. E Al Nuaimi., et al. “Applications of big data to smart cities”. Journal of Internet Services and Applications 6.1 (2015): 1-15. 
  17. C Lin. “A Novel Green Cloud Computing Framework for Improving System Efficiency”. Physics Procedia 24 (2012): 2326-2333. 
  18. “google_predicting_the_present.pdf”. 
  19. P Vijai and PB Sivakumar. “Design of IoT Systems and Analytics in the Context of Smart City Initiatives in India”. Procedia Computer Science 92 (2016): 583-588. 
  20. Deloitte. “Smart Cities Big Data”. 7 (2015). 
  21. Daneshyari.com_1025531.pdf”. 
  22. CLUS_Comp_Aisha_VC_accepted.pdf. 
  23. CCAF_VC_openstack_accepted.pdf. 
  24. c3c6bcf156c3fb2e6dfdabd6365062ce264b.pdf. 
  25. SE Bibri. “The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability”. Sustainable Cities and Society 38 (2018): 230-253. 
  26. S Wolfert L., et al. “Big Data in Smart Farming – A review”. Agricultural Systems 53 (2017): 69-80. 
  27. DR Li., et al. “Big data in smart cities”. Science China Information Sciences 58. 10 (2015): 1-12.
  28. MM Rathore., et al. “Exploiting IoT and Big Data Analytics: Defining Smart Digital City using Real-Time Urban Data”. Sustainable Cities and Society (2017). 
  29. 00001323_144780 pdf. 
  30. 10.1186%2Fs13174-015-0041-5 pdf.
  31. Y-P Huang., et al. “The Effectiveness of Integrating Somatosensory Technology into Nuclear Energy Education Learning”. Procedia Social and Behavioral Sciences 176 (2015): 476-482.
  32. M Babar and F Arif. “Smart urban planning using Big Data analytics to contend with the interoperability in Internet of Things”. Future Generation Computing Systems 77 (2017): 65-76. 
  33. S Korea. “2014 IEEE World Forum on Internet of Things (WF-IoT) Program”. (2014): 265-270. 
  34. F Bonomi., et al. “Big Data and Internet of Things: A Roadmap for Smart Environments”. 546 (2014): 169-186. 
×

Citation

Citation: Toseef Aslam. “Challenge of Handling Big Data in Smart Cities with Fog Computing”. Acta Scientific Computer Sciences 2.3 (2020): 02-08.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is November 25, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US