Mobile Cloud Computing Paradigm: A Survey of Operational Concerns, Challenges and Open Issues

被引:0
作者
Mora, Higinio [1 ]
Pujol, Francisco A. [1 ]
Ramirez-Gordillo, Tamai [1 ]
Jimeno, Antonio [1 ]
机构
[1] Univ Alicante, Dept Comp Technol & Computat, Alicante, Spain
来源
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES | 2024年 / 35卷 / 12期
关键词
computation offloading; internet of things; mobile cloud computing; network architectures; EDGE; IOT; ALGORITHM; MODEL; INTEGRATION; INTERNET;
D O I
10.1002/ett.70020
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The Mobile Cloud Computing paradigm has revolutionized the concepts of mobile computing and the Internet of Things (IoT). This paradigm allows outsourcing the workload of mobile devices, or other connected "things," to be computed in the Cloud. Currently, outsourcing possibilities have been widely developed making available computing platforms at different network layers. In a consequence of that, a virtual increasing of the performance and a homogenization of the computing capabilities of the devices are produced. The research described in this work presents a review of the state of the art about recent works, the main operational concerns, challenges, and open issues of this paradigm in order to update the border of knowledge on this topic. As a result, a critical analysis is conducted, and new research directions are discussed. The findings provide value-added to the scientific community and, therefore it could be helpful for other researches in these topics, especially given the rising popularity of IoT platforms.
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页数:15
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共 89 条
[1]   Task scheduling in fog environment-Challenges, tools & methodologies: A review [J].
Abadi, Zahra Jalali Khalil ;
Mansouri, Najme ;
Khalouie, Mahshid .
COMPUTER SCIENCE REVIEW, 2023, 48
[2]   Optimizing UAV computation offloading via MEC with deep deterministic policy gradient [J].
Abbasi, Ahmed Bashir ;
Hadi, Muhammad Usman .
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2024, 35 (01)
[3]   Evaluation of mobile cloud architectures [J].
Abdo, Jacques Bou ;
Demerjian, Jacques .
PERVASIVE AND MOBILE COMPUTING, 2017, 39 :284-303
[4]   A Hybrid Granularity Graph for Improving Adaptive Application Partitioning Efficacy in Mobile Computing Environments [J].
Abebe, Ermyas ;
Ryan, Caspar .
2011 10TH IEEE INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (NCA), 2011,
[5]   Cyber Security in IoT-Based Cloud Computing: A Comprehensive Survey [J].
Ahmad, Waqas ;
Rasool, Aamir ;
Javed, Abdul Rehman ;
Baker, Thar ;
Jalil, Zunera .
ELECTRONICS, 2022, 11 (01)
[6]   Mobile Edge Computing: Opportunities, solutions, and challenges [J].
Ahmed, Ejaz ;
Rehmani, Mubashir Husain .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2017, 70 :59-63
[7]   Mobile cloud computing models security issues: A systematic review [J].
AlAhmad, Ahmad Salah ;
Kahtan, Hasan ;
Alzoubi, Yehia Ibrahim ;
Ali, Omar ;
Jaradat, Ashraf .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2021, 190
[8]   New cloud offloading algorithm for better energy consumption and process time [J].
Aldmour R. ;
Yousef S. ;
Yaghi M. ;
Tapaswi S. ;
Pattanaik K.K. ;
Cole M. .
International Journal of System Assurance Engineering and Management, 2017, 8 (Suppl 2) :730-733
[9]   Task scheduling approaches in fog computing: A systematic review [J].
Alizadeh, Mohammad Reza ;
Khajehvand, Vahid ;
Rahmani, Amir Masoud ;
Akbari, Ebrahim .
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (16)
[10]   A self-protecting agents based model for high-performance mobile-cloud computing [J].
Angin, Pelin ;
Bhargava, Bharat ;
Ranchal, Rohit .
COMPUTERS & SECURITY, 2018, 77 :380-396