Abstract
The internet connectivity extended by the internet of things to all the tangible things lying around and used by us in our day today life has convert the devices into smart objects and led to huge set of data generation that holds both the valuable and invaluable information. In order to perfectly handle the information's generated and mine the valuables from them, the analytics are engaged by the cloud. To have a timely access, most probably the fog services are preferred than the cloud as they bring down the service of the cloud to the user edge and reduces the time complexity in accessing of the information. So the paper proposes the big data analytics for the fog assisted health care application to effectively handle the health information's diagnosed for the aged persons. The proposed model is simulated using the IFogSim toolkit to examine the performance fogassisted smart healthcare application.
References
Khan, Zaheer, Ashiq Anjum, Kamran Soomro, and Muhammad Atif Tahir. "Towards cloud based big data analytics for smart future cities." Journal of Cloud Computing 4, no. 1 (2015): 2.
Khan, Zaheer, Ashiq Anjum, and Saad Liaquat Kiani. "Cloud based big data analytics for smart future cities." In 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, pp. 381-386. IEEE, 2013.
Simmhan, Yogesh, Saima Aman, Alok Kumbhare, Rongyang Liu, Sam Stevens, Qunzhi Zhou, and Viktor Prasanna. "Cloud-based software platform for big data analytics in smart grids." Computing in Science & Engineering 15, no. 4 (2013): 38.
Talia, Domenico. "Clouds for scalable big data analytics." Computer 5 (2013): 98-101.
Hashem, Ibrahim Abaker Targio, Victor Chang, Nor Badrul Anuar, Kayode Adewole, Ibrar Yaqoob, Abdullah Gani, Ejaz Ahmed, and Haruna Chiroma. "The role of big data in smart city." International Journal of Information Management 36, no. 5 (2016): 748-758.
Dey, Nilanjan, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, and Suresh Chandra Satapathy, eds. Internet of things and big data analytics toward next-generation intelligence. Berlin: Springer, 2018.
Bessis, Nik, and Ciprian Dobre, eds. Big data and internet of things: a roadmap for smart environments. Vol. 546. Basel, Switzerland: Springer International Publishing, 2014.
Strohbach, Martin, Holger Ziekow, Vangelis Gazis, and Navot Akiva. "Towards a big data analytics framework for IoT and smart city applications." In Modeling and processing for next-generation big-data technologies, pp. 257-282. Springer, Cham, 2015.
Song, Houbing, Ravi Srinivasan, Tamim Sookoor, and Sabina Jeschke. Smart cities: foundations, principles, and applications. John Wiley & Sons, 2017.
Tu, Chunming, Xi He, Zhikang Shuai, and Fei Jiang. "Big data issues in smart grid–A review." Renewable and Sustainable Energy Reviews 79 (2017): 1099-1107.
Munshi, Amr A., and Yasser AI Mohamed. "Cloud-based visual analytics for smart grids big data." In 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), pp. 1-5. IEEE, 2016.
Rajeswari, S., K. Suthendran, and K. Rajakumar. "A smart agricultural model by integrating IoT, mobile and cloud-based big data analytics." In 2017 International Conference on Intelligent Computing and Control (I2C2), pp. 1-5. IEEE, 2017.
Zhang, Yin, Meikang Qiu, Chun-Wei Tsai, Mohammad Mehedi Hassan, and Atif Alamri. "Health-CPS: Healthcare cyber-physical system assisted by cloud and big data." IEEE Systems Journal 11, no. 1 (2015): 88-95.
Channe, Hemlata, Sukhesh Kothari, and Dipali Kadam. "Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis." Int. J. Computer Technology & Applications 6, no. 3 (2015): 374-382.
Plageras, Andreas P., Kostas E. Psannis, Christos Stergiou, Haoxiang Wang, and Brij B. Gupta. "Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings." Future Generation Computer Systems 82 (2018): 349-357.
Dastjerdi, Amir Vahid, Harshit Gupta, Rodrigo N. Calheiros, Soumya K. Ghosh, and Rajkumar Buyya. "Fog computing: Principles, architectures, and applications." In Internet of Things, pp. 61-75. Morgan Kaufmann, 2016.
Babu, Shaik Masthan, A. Jaya Lakshmi, and B. Thirumala Rao. "A study on cloud based Internet of Things: CloudIoT." In 2015 global conference on communication technologies (GCCT), pp. 60-65. IEEE, 2015.
Mohamed, Khaled Salah. "IoT Cloud Computing, Storage, and Data Analytics." In The Era of Internet of Things, pp. 71-91. Springer, Cham, 2019.
Al Yami, Mohammed, and Dirk Schaefer. "Fog Computing as a Complementary Approach to Cloud Computing." In 2019 International Conference on Computer and Information Sciences (ICCIS), pp. 1-5. IEEE, 2019.
Qi, Qinglin, and Fei Tao. "A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing." IEEE Access 7 (2019): 86769-86777.
Smys, S. "BIG DATA BUSINESS ANALYTICS AS A STRATEGIC ASSET FOR HEALTH CARE INDUSTRY." Journal of ISMAC 1, no. 02 (2019): 92-100.
Duraipandian, M., and Mr R. Vinothkanna. "CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS." Journal of ISMAC 1, no. 02 (2019): 111-119.
Suma, V. "TOWARDS SUSTAINABLE INDUSTRIALIZATION USING BIG DATA AND INTERNET OF THINGS." Journal of ISMAC 1, no. 01 (2019): 24-37.
MahmoudZadeh, S., D. Powers, Karl Sammut, Andrew Lammas, and Amir Mehdi Yazdani. "Optimal route planning with prioritized task scheduling for AUV missions." In 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), pp. 7-14. IEEE, 2015.
Pandian, A. Pasumpon. "ENHANCED EDGE MODEL FOR BIG DATA IN THE INTERNET OF THINGS BASED APPLICATIONS." Journal of trends in Computer Science and Smart technology (TCSST) 1, no. 01 (2019): 63-73.
Duraipandian, M. "PERFORMANCE EVALUATION OF ROUTING ALGORITHM FOR MANET BASED ON THE MACHINE LEARNING TECHNIQUES." Journal of trends in Computer Science and Smart technology (TCSST) 1, no. 01 (2019): 25-38.