IoT and Cloud Computing Issues, Challenges and Opportunities: A Review

Authors

  • Mohammed Mohammed Sadeeq Duhok Polytechnic University
  • Nasiba M. Abdulkareem Researcher, Duhok Polytechnic University, Duhok, Iraq
  • Subhi R. M. Zeebaree IT Department, Duhok Polytechnic University, Duhok, Iraq
  • Dindar Mikaeel Ahmed IT Dept., Duhok Polytechnic University, Duhok, Iraq
  • Ahmed Saifullah Sami Information Technology Department, Duhok Polytechnic University, Duhok, Iraq
  • Rizgar R. Zebari Research and Development Center, Nawroz University, Duhok, Iraq

DOI:

https://doi.org/10.48161/qaj.v1n2a36

Keywords:

Internet of Things, IoT, Cloud Computing, Privacy, Security.

Abstract

With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The delivery of cloud computing is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this report, we research IoT and cloud computing and address cloud-compatible problems and computing techniques to promote the stable transition of IoT programs to the cloud.

Downloads

Download data is not yet available.

References

M. A. Sadeeq, S. R. Zeebaree, R. Qashi, S. H. Ahmed, and K. Jacksi, "Internet of Things security: a survey," in 2018 International Conference on Advanced Science and Engineering (ICOASE), 2018, pp. 162-166.

L. M. Haji, O. M. Ahmad, S. R. Zeebaree, H. I. Dino, R. R. Zebari, and H. M. Shukur, "Impact of cloud computing and internet of things on the future internet," Technology Reports of Kansai University, vol. 62, pp. 2179-2190, 2020.

S. Zeebaree and H. M. Yasin, "Arduino based remote controlling for home: power saving, security and protection," International Journal of Scientific & Engineering Research, vol. 5, pp. 266-272, 2014.

A. I. Abdulla, A. S. Abdulraheem, A. A. Salih, M. A. Sadeeq, A. J. Ahmed, B. M. Ferzor, et al., "Internet of Things and Smart Home Security," Technol. Rep. Kansai Univ, vol. 62, pp. 2465-2476, 2020.

A. A. Salih, S. R. Zeebaree, A. S. Abdulraheem, R. R. Zebari, M. A. Sadeeq, and O. M. Ahmed, "Evolution of Mobile Wireless Communication to 5G Revolution," Technology Reports of Kansai University, vol. 62, pp. 2139-2151, 2020.

A. Pichan, M. Lazarescu, and S. T. Soh, "A Logging Model for Enabling Digital Forensics in IoT, in an Inter-connected IoT, Cloud Eco-systems," in 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), 2020, pp. 478-483.

A. S. Abdulraheem, A. A. Salih, A. I. Abdulla, M. A. Sadeeq, N. O. Salim, H. Abdullah, et al., "Home automation system based on IoT," 2020.

S. I. Saleem, S. Zeebaree, D. Q. Zeebaree, and A. M. Abdulazeez, "Building Smart Cities Applications based on IoT Technologies: A Review," Technology Reports of Kansai University, vol. 62, pp. 1083-1092, 2020.

O. Alzakholi, H. Shukur, R. Zebari, S. Abas, and M. Sadeeq, "Comparison among cloud technologies and cloud performance," Journal of Applied Science and Technology Trends, vol. 1, pp. 40-47, 2020.

Z. N. Rashid, S. R. Zebari, K. H. Sharif, and K. Jacksi, "Distributed cloud computing and distributed parallel computing: A review," in 2018 International Conference on Advanced Science and Engineering (ICOASE), 2018, pp. 167-172.

Z. Ageed, M. R. Mahmood, M. Sadeeq, M. B. Abdulrazzaq, and H. Dino, "Cloud computing resources impacts on heavy-load parallel processing approaches," IOSR Journal of Computer Engineering (IOSR-JCE), vol. 22, pp. 30-41, 2020.

R. Revathi, M. Suganya, and G. M. NR, "IoT based Cloud Integrated Smart Classroom for smart and a sustainable Campus," Procedia Computer Science, vol. 172, pp. 77-81, 2020.

Z. S. Ageed, R. K. Ibrahim, and M. A. Sadeeq, "Unified Ontology Implementation of Cloud Computing for Distributed Systems," Current Journal of Applied Science and Technology, pp. 82-97, 2020.

P. Y. Abdullah, S. R. Zeebaree, H. M. Shukur, and K. Jacksi, "HRM system using cloud computing for Small and Medium Enterprises (SMEs)," Technology Reports of Kansai University, vol. 62, p. 04, 2020.

Z. N. Rashid, S. R. Zeebaree, and A. Shengul, "Design and analysis of proposed remote controlling distributed parallel computing system over the cloud," in 2019 International Conference on Advanced Science and Engineering (ICOASE), 2019, pp. 118-123.

M. Sadeeq, A. I. Abdulla, A. S. Abdulraheem, and Z. S. Ageed, "Impact of Electronic Commerce on Enterprise Business," Technol. Rep. Kansai Univ, vol. 62, pp. 2365-2378, 2020.

A. M. Abdulazeez, S. R. Zeebaree, and M. A. Sadeeq, "Design and Implementation of Electronic Student Affairs System," Academic Journal of Nawroz University, vol. 7, pp. 66-73, 2018.

H. Shukur, S. Zeebaree, R. Zebari, D. Zeebaree, O. Ahmed, and A. Salih, "Cloud computing virtualization of resources allocation for distributed systems," Journal of Applied Science and Technology Trends, vol. 1, pp. 98-105, 2020.

L. M. Haji, S. Zeebaree, O. M. Ahmed, A. B. Sallow, K. Jacksi, and R. R. Zeabri, "Dynamic resource allocation for distributed systems and cloud computing," TEST Engineering & Management, vol. 83, pp. 22417-22426, 2020.

A. Hosseinian-Far, M. Ramachandran, and C. L. Slack, "Emerging trends in cloud computing, big data, fog computing, IoT and smart living," in Technology for smart futures, ed: Springer, 2018, pp. 29-40.

J. Ren, H. Guo, C. Xu, and Y. Zhang, "Serving at the edge: A scalable IoT architecture based on transparent computing," IEEE Network, vol. 31, pp. 96-105, 2017.

M. Aazam, I. Khan, A. A. Alsaffar, and E.-N. Huh, "Cloud of Things: Integrating Internet of Things and cloud computing and the issues involved," in Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th-18th January, 2014, 2014, pp. 414-419.

R. Gravina, P. Alinia, H. Ghasemzadeh, and G. Fortino, "Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges," Information Fusion, vol. 35, pp. 68-80, 2017.

P. Tan, H. Wu, P. Li, and H. Xu, "Teaching management system with applications of RFID and IoT technology," Education Sciences, vol. 8, p. 26, 2018.

S. R. Zeebaree, K. Jacksi, and R. R. Zebari, "Impact analysis of SYN flood DDoS attack on HAProxy and NLB cluster-based web servers," Indones. J. Electr. Eng. Comput. Sci, vol. 19, pp. 510-517, 2020.

C. Stergiou, K. E. Psannis, B.-G. Kim, and B. Gupta, "Secure integration of IoT and cloud computing," Future Generation Computer Systems, vol. 78, pp. 964-975, 2018.

S. Kianoush, M. Raja, S. Savazzi, and S. Sigg, "A cloud-IoT platform for passive radio sensing: Challenges and application case studies," IEEE Internet of Things Journal, vol. 5, pp. 3624-3636, 2018.

Z. N. Rashid, S. R. Zeebaree, and A. Sengur, "Novel Remote Parallel Processing Code-Breaker System via Cloud Computing."

A. B. Sallow, M. Sadeeq, R. R. Zebari, M. B. Abdulrazzaq, M. R. Mahmood, H. M. Shukur, et al., "An Investigation for Mobile Malware Behavioral and Detection Techniques Based on Android Platform," IOSR Journal of Computer Engineering (IOSR-JCE), vol. 22, pp. 14-20.

I. Mohiuddin and A. Almogren, "Workload aware VM consolidation method in edge/cloud computing for IoT applications," Journal of Parallel and Distributed Computing, vol. 123, pp. 204-214, 2019.

S. S. Gill, S. Tuli, M. Xu, I. Singh, K. V. Singh, D. Lindsay, et al., "Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges," Internet of Things, vol. 8, p. 100118, 2019.

P. Y. Abdullah, S. R. Zeebaree, K. Jacksi, and R. R. Zeabri, "An hrm system for small and medium enterprises (sme) s based on cloud computing technology," International Journal of Research-GRANTHAALAYAH, vol. 8, pp. 56-64, 2020.

S. Zeebaree, R. R. Zebari, K. Jacksi, and D. A. Hasan, "Security Approaches For Integrated Enterprise Systems Performance: A Review," Int. J. Sci. Technol. Res, vol. 8, 2019.

L. a. Tawalbeh, F. Muheidat, M. Tawalbeh, and M. Quwaider, "IoT Privacy and security: Challenges and solutions," Applied Sciences, vol. 10, p. 4102, 2020.

I. Mohiuddin, A. Almogren, M. Alrubaian, and M. Al-Qurishi, "Analysis of network issues and their impact on Cloud Storage," in 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS), 2019, pp. 1-4.

S. K. Tayyaba, H. A. Khattak, A. Almogren, M. A. Shah, I. U. Din, I. Alkhalifa, et al., "5G vehicular network resource management for improving radio access through machine learning," IEEE Access, vol. 8, pp. 6792-6800, 2020.

H. N. Almajed, A. S. Almogren, and A. Altameem, "A resilient smart body sensor network through pyramid interconnection," IEEE Access, vol. 7, pp. 51039-51046, 2019.

H. Elazhary, "Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research directions," Journal of Network and Computer Applications, vol. 128, pp. 105-140, 2019.

A. Almogren, "An automated and intelligent Parkinson disease monitoring system using wearable computing and cloud technology," Cluster Computing, vol. 22, pp. 2309-2316, 2019.

X. Xu, Q. Liu, Y. Luo, K. Peng, X. Zhang, S. Meng, et al., "A computation offloading method over big data for IoT-enabled cloud-edge computing," Future Generation Computer Systems, vol. 95, pp. 522-533, 2019.

K. Haseeb, N. Islam, A. Almogren, I. U. Din, H. N. Almajed, and N. Guizani, "Secret sharing-based energy-aware and multi-hop routing protocol for IoT based WSNs," IEEE Access, vol. 7, pp. 79980-79988, 2019.

W.-Z. Zhang, I. A. Elgendy, M. Hammad, A. M. Iliyasu, X. Du, M. Guizani, et al., "Secure and Optimized Load Balancing for Multi-Tier IoT and Edge-Cloud Computing Systems," IEEE Internet of Things Journal, 2020.

K. Riad, T. Huang, and L. Ke, "A dynamic and hierarchical access control for IoT in multi-authority cloud storage," Journal of Network and Computer Applications, vol. 160, p. 102633, 2020.

B. Mallikarjuna, "Feedback-Based Fuzzy Resource Management in IoT-Based-Cloud," International Journal of Fog Computing (IJFC), vol. 3, pp. 1-21, 2020.

M. Anuradha, T. Jayasankar, N. Prakash, M. Y. Sikkandar, G. Hemalakshmi, C. Bharatiraja, et al., "IoT enabled cancer prediction system to enhance the authentication and security using cloud computing," Microprocessors and Microsystems, vol. 80, p. 103301, 2021.

R. O. Aburukba, M. AliKarrar, T. Landolsi, and K. El-Fakih, "Scheduling Internet of Things requests to minimize latency in hybrid Fog–Cloud computing," Future Generation Computer Systems, vol. 111, pp. 539-551, 2020.

B. Ali, M. A. Pasha, S. ul Islam, H. Song, and R. Buyya, "A volunteer supported fog computing environment for delay-sensitive IoT applications," IEEE Internet of Things Journal, 2020.

M. Wang and Q. Zhang, "Optimized data storage algorithm of IoT based on cloud computing in distributed system," Computer Communications, vol. 157, pp. 124-131, 2020.

H. Fuentes and D. Mauricio, "Smart water consumption measurement system for houses using IoT and cloud computing," Environmental Monitoring and Assessment, vol. 192, pp. 1-16, 2020.

M. Abdel-Basset, G. Manogaran, A. Gamal, and V. Chang, "A novel intelligent medical decision support model based on soft computing and IoT," IEEE Internet of Things Journal, vol. 7, pp. 4160-4170, 2019.

A. Mavromatis, C. Colman-Meixner, A. P. Silva, X. Vasilakos, R. Nejabati, and D. Simeonidou, "A software-defined IoT device management framework for edge and cloud computing," IEEE Internet of Things Journal, vol. 7, pp. 1718-1735, 2019.

L. Ding, Z. Wang, X. Wang, and D. Wu, "Security information transmission algorithms for IoT based on cloud computing," Computer Communications, vol. 155, pp. 32-39, 2020.

O. Debauche, S. Mahmoudi, S. A. Mahmoudi, P. Manneback, and F. Lebeau, "A new edge architecture for ai-iot services deployment," Procedia Computer Science, vol. 175, pp. 10-19, 2020.

J. Chen, S. Chen, Q. Wang, B. Cao, G. Feng, and J. Hu, "iRAF: A deep reinforcement learning approach for collaborative mobile edge computing IoT networks," IEEE Internet of Things Journal, vol. 6, pp. 7011-7024, 2019.

M. Abbasi, M. Yaghoobikia, M. Rafiee, A. Jolfaei, and M. R. Khosravi, "Efficient resource management and workload allocation in fog–cloud computing paradigm in IoT using learning classifier systems," Computer Communications, vol. 153, pp. 217-228, 2020.

Published

2021-03-15

How to Cite

Mohammed Sadeeq, M., Abdulkareem , N. M. ., Zeebaree , S. R. M. ., Mikaeel Ahmed, D. ., Saifullah Sami, A. ., & Zebari, R. R. (2021). IoT and Cloud Computing Issues, Challenges and Opportunities: A Review. Qubahan Academic Journal, 1(2), 1–7. https://doi.org/10.48161/qaj.v1n2a36

Issue

Section

Articles

Most read articles by the same author(s)