Page 31 - ITU Journal Future and evolving technologies – Volume 2 (2021), Issue 2

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 2

6. CONCLUSION [8] M. E. Khoda, M. A. Razzaque, A. Almogren, M. M. Has‑
san, A. Alamri, and A. Alelaiwi, “Ef icient computa‑
Although MCC already mitigates the computational re‑ tion of loading decision in mobile cloud computing
sources needed by mobile devices to provide services and over 5g network,” Mobile Networks and Applications,
run applications smoothly, the communication and ser‑ vol. 21, no. 5, pp. 777–792, 2016.
vice provision between the cloud environment the mo‑
bile device are sometimes not the best. In this survey, we [9] X. Chen, “Decentralized computation of loading
presented an overview of the MCC environment and in‑ game for mobile cloud computing,” IEEE Transac‑
vestigated different techniques recently proposed in the tions on Parallel and Distributed Systems, vol. 26,
literature to achieve seamless communication in the MCC no. 4, pp. 974–983, 2014.
environment, by taking into consideration recent techno‑
logical advances in networking and MCC in general such [10] S. Misra, S. Das, M. Khatua, and M. S. Obaidat, “Qos‑
as the deployment of 5G systems and availability of new guaranteed bandwidth shifting and redistribution
techniques in arti icial intelligence. We provided a brief in mobile cloud environment,” IEEE Transactions on
overview of solutions in Table 1 with their shortcomings. Cloud Computing, vol. 2, no. 2, pp. 181–193, 2013.
A lot of progress has been made in the MCC ield, espe‑
cially to achieve reliable and seamless communication be‑ [11] L. Xiao, X. Wan, C. Dai, X. Du, X. Chen, and M. Guizani,
tween the cloud and the mobile device, but there are still “Security inmobile edgecaching with reinforcement
some overwhelming challenges faced by the operators learning,” IEEE Wireless Communications, vol. 25,
and service providers. Some of these challenges are pre‑ no. 3, pp. 116–122, 2018.
sented in this paper with the hope that scholars are work‑ [12] R.‑F. Liao, H. Wen, J. Wu, F. Pan, A. Xu, H. Song, F. Xie,
ing to overcome them. We believe this paper will serve as Y. Jiang, and M. Cao, “Security enhancement for mo‑
a guide for future research works for achieving seamless bile edge computing through physical layer authen‑
data exchange and application of loading in MCC.
tication,” IEEE Access, vol. 7, pp. 116390–116401,
2019.
REFERENCES
[13] A. Aliyu, A. H. Abdullah, O. Kaiwartya, M. Tayyab, and
[1] G. Forecast, “Cisco visual networking index: global U. M. Joda, “Mobile cloud computing: layered ar‑
mobile data traf ic forecast update, 2017–2022,” Up‑ chitecture,” 2018 Seventh ICT International Student
date, vol. 2017, p. 2022, 2019.
Project Conference, pp. 1–6, 2018.
[2] H. T. Dinh, C. Lee, D. Niyato, and P. Wang, “A survey of
mobile cloud computing: architecture, applications, [14] J. Ren, G. Yu, Y. He, and G. Y. Li, “Collaborative cloud
and approaches,” Wireless communications and mo‑ and edge computing for latency minimization,” IEEE
bile computing, vol. 13, no. 18, pp. 1587–1611, 2013. Transactions on Vehicular Technology, vol. 68, no. 5,
pp. 5031–5044, 2019.
[3] P. Rost, A. Banchs, I. Berberana, M. Breitbach, M. Doll,
H. Droste, C. Mannweiler, M. A. Puente, K. Samda‑ [15] X. Hu, L. Wang, K.‑K. Wong, M. Tao, Y. Zhang, and
nis, andB. Sayadi, “Mobile networkarchitectureevo‑ Z. Zheng, “Edge and central cloud computing: A
lution toward 5g,” IEEE Communications Magazine, perfect pairing for high energy ef iciency and low‑
vol. 54, no. 5, pp. 84–91, 2016. latency,” IEEE Transactions on Wireless Communica‑
tions, vol. 19, no. 2, pp. 1070–1083, 2019.
[4] M. Othman, S. A. Madani, S. U. Khan, et al., “A sur‑

vey of mobile cloud computing application models,” [16] M. A. Mohammed and N. ŢAPUŞ, “A novel approach
IEEE communications surveys & tutorials, vol. 16, of reducing energy consumption by utilizing en‑
no. 1, pp. 393–413, 2013. thalpy in mobile cloud computing,” Studies in Infor‑
matics and Control, vol. 26, no. 4, pp. 425–434, 2017.
[5] T. X. Tran, A. Hajisami, P. Pandey, and D. Pom‑
pili, “Collaborative mobile edge computing in 5g [17] S. Li, W. Sun, Y. Zhang, and H. Liu, “Reliability anal‑
networks: New paradigms, scenarios, and chal‑ ysis for multipath communications in mobile cloud
lenges,” IEEE Communications Magazine, vol. 55, computing architectures,” Wireless Communications
no. 4, pp. 54–61, 2017. and Mobile Computing, vol. 2018, 2018.
[6] N. Hassan, K.‑L. A. Yau, and C. Wu, “Edge computing [18] R. B. Bohn, J. Messina, F. Liu, J. Tong, and J. Mao, “Nist
in 5g: A review,” IEEE Access, vol. 7, pp. 127276– cloud computing reference architecture,” in 2011
127289, 2019. IEEE World Congress on Services, pp. 594–596, IEEE,
2011.
[7] I. Alghamdi, C. Anagnostopoulos, and D. P. Pezaros,
“Time‑optimized task of loading decision making [19] A. Ionescu, “Resource management in mobile cloud
in mobile edge computing,” in 2019 Wireless Days computing,” Informatica Economica, vol. 19, no. 1,
(WD), pp. 1–8, IEEE, 2019. p. 55, 2015.

© International Telecommunication Union, 2021 17