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Smart Cloud Computing Technologies and Application

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (20 October 2021) | Viewed by 14526

Special Issue Editors


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Guest Editor
Texas A&M University, College Station, TX 77843, USA
Interests: Machine Learning; Big Data; Cyber Security; Cloud Computing; IoT; CPS; Smart Computing; Embedded Systems

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Guest Editor
School of Fundamental Science and Engineering, Waseda University, Tokyo 169-8555, Japan
Interests: collaborative robot; IoT; machine learning; network economics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart cloud computing technology has been developed rapidly recently, with the acceleration of Internet of Things (IoT) technology and artificial intelligence (AI) technology. We have entered an era in which cloud-based systems are given the "smart" property that can meet giant demands in multiple fields, from tele-health to e-learning, from vehicular systems to mobile applications. In this Special Issue, we aim to collect recent academic achievements in novel techniques of the most advanced smart cloud computing aligned with other novel technologies, such as IoT, AI, and big data technologies.

Prof. Dr. Meikang Qiu
Dr. Cheng Zhang
Guest Editors

Manuscript Submission Information

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Keywords

  • Internet of Things
  • Artificial intelligence-based smart computing
  • Cloud computing
  • Cyber threat intelligence
  • Edge computing
  • Sensor network security

Published Papers (4 papers)

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Research

19 pages, 897 KiB  
Article
Locust Inspired Algorithm for Cloudlet Scheduling in Cloud Computing Environments
by Mohammed Alaa Ala’anzy, Mohamed Othman, Zurina Mohd Hanapi and Mohamed A. Alrshah
Sensors 2021, 21(21), 7308; https://doi.org/10.3390/s21217308 - 03 Nov 2021
Cited by 5 | Viewed by 1972
Abstract
Cloud computing is an emerging paradigm that offers flexible and seamless services for users based on their needs, including user budget savings. However, the involvement of a vast number of cloud users has made the scheduling of users’ tasks (i.e., cloudlets) a challenging [...] Read more.
Cloud computing is an emerging paradigm that offers flexible and seamless services for users based on their needs, including user budget savings. However, the involvement of a vast number of cloud users has made the scheduling of users’ tasks (i.e., cloudlets) a challenging issue in selecting suitable data centres, servers (hosts), and virtual machines (VMs). Cloudlet scheduling is an NP-complete problem that can be solved using various meta-heuristic algorithms, which are quite popular due to their effectiveness. Massive user tasks and rapid growth in cloud resources have become increasingly complex challenges; therefore, an efficient algorithm is necessary for allocating cloudlets efficiently to attain better execution times, resource utilisation, and waiting times. This paper proposes a cloudlet scheduling, locust inspired algorithm to reduce the average makespan and waiting time and to boost VM and server utilisation. The CloudSim toolkit was used to evaluate our algorithm’s efficiency, and the obtained results revealed that our algorithm outperforms other state-of-the-art nature-inspired algorithms, improving the average makespan, waiting time, and resource utilisation. Full article
(This article belongs to the Special Issue Smart Cloud Computing Technologies and Application)
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20 pages, 6072 KiB  
Article
An Efficient Dynamic-Decision Based Task Scheduler for Task Offloading Optimization and Energy Management in Mobile Cloud Computing
by Abid Ali, Muhammad Munawar Iqbal, Harun Jamil, Faiza Qayyum, Sohail Jabbar, Omar Cheikhrouhou, Mohammed Baz and Faisal Jamil
Sensors 2021, 21(13), 4527; https://doi.org/10.3390/s21134527 - 01 Jul 2021
Cited by 30 | Viewed by 3116
Abstract
Restricted abilities of mobile devices in terms of storage, computation, time, energy supply, and transmission causes issues related to energy optimization and time management while processing tasks on mobile phones. This issue pertains to multifarious mobile device-related dimensions, including mobile cloud computing, fog [...] Read more.
Restricted abilities of mobile devices in terms of storage, computation, time, energy supply, and transmission causes issues related to energy optimization and time management while processing tasks on mobile phones. This issue pertains to multifarious mobile device-related dimensions, including mobile cloud computing, fog computing, and edge computing. On the contrary, mobile devices’ dearth of storage and processing power originates several issues for optimal energy and time management. These problems intensify the process of task retaining and offloading on mobile devices. This paper presents a novel task scheduling algorithm that addresses energy consumption and time execution by proposing an energy-efficient dynamic decision-based method. The proposed model quickly adapts to the cloud computing tasks and energy and time computation of mobile devices. Furthermore, we present a novel task scheduling server that performs the offloading computation process on the cloud, enhancing the mobile device’s decision-making ability and computational performance during task offloading. The process of task scheduling harnesses the proposed empirical algorithm. The outcomes of this study enable effective task scheduling wherein energy consumption and task scheduling reduces significantly. Full article
(This article belongs to the Special Issue Smart Cloud Computing Technologies and Application)
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23 pages, 789 KiB  
Article
IoT Registration and Authentication in Smart City Applications with Blockchain
by Célio Márcio Soares Ferreira, Charles Tim Batista Garrocho, Ricardo Augusto Rabelo Oliveira, Jorge Sá Silva and Carlos Frederico Marcelo da Cunha Cavalcanti
Sensors 2021, 21(4), 1323; https://doi.org/10.3390/s21041323 - 13 Feb 2021
Cited by 27 | Viewed by 5463
Abstract
The advent of 5G will bring a massive adoption of IoT devices across our society. IoT Applications (IoT Apps) will be the primary data collection base. This scenario leads to unprecedented scalability and security challenges, with one of the first areas for these [...] Read more.
The advent of 5G will bring a massive adoption of IoT devices across our society. IoT Applications (IoT Apps) will be the primary data collection base. This scenario leads to unprecedented scalability and security challenges, with one of the first areas for these applications being Smart Cities (SC). IoT devices in new network paradigms, such as Edge Computing and Fog Computing, will collect data from urban environments, providing real-time management information. One of these challenges is ensuring that the data sent from Edge Computing are reliable. Blockchain has been a technology that has gained the spotlight in recent years, due to its robust security in fintech and cryptocurrencies. Its strong encryption and distributed and decentralized network make it potential for this challenge. Using Blockchain with IoT makes it possible for SC applications to have security information distributed, which makes it possible to shield against Distributed Denial of Service (DDOS). IoT devices in an SC can have a long life, which increases the chance of having security holes caused by outdated firmware. Adding a layer of identification and verification of attributes and signature of messages coming from IoT devices by Smart Contracts can bring confidence in the content. SC Apps that extract data from legacy and outdated appliances, installed in inaccessible, unknown, and often untrusted urban environments can benefit from this work. Our work’s main contribution is the development of API Gateways to be used in IoT devices and network gateway to sign, identify, and authorize messages. For this, keys and essential characteristics of the devices previously registered in Blockchain are used. We will discuss the importance of this implementation while considering the SC and present a testbed that is composed of Blockchain Ethereum and real IoT devices. We analyze the transfer time, memory, and CPU impacts during the sending and processing of these messages. The messages are signed, identified, and validated by our API Gateways and only then collected for an IoT data management application. Full article
(This article belongs to the Special Issue Smart Cloud Computing Technologies and Application)
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20 pages, 454 KiB  
Article
A Lattice-Based Homomorphic Proxy Re-Encryption Scheme with Strong Anti-Collusion for Cloud Computing
by Juyan Li, Zhiqi Qiao, Kejia Zhang and Chen Cui
Sensors 2021, 21(1), 288; https://doi.org/10.3390/s21010288 - 04 Jan 2021
Cited by 12 | Viewed by 2976
Abstract
The homomorphic proxy re-encryption scheme combines the characteristics of a homomorphic encryption scheme and proxy re-encryption scheme. The proxy can not only convert a ciphertext of the delegator into a ciphertext of the delegatee, but also can homomorphically calculate the original ciphertext and [...] Read more.
The homomorphic proxy re-encryption scheme combines the characteristics of a homomorphic encryption scheme and proxy re-encryption scheme. The proxy can not only convert a ciphertext of the delegator into a ciphertext of the delegatee, but also can homomorphically calculate the original ciphertext and re-encryption ciphertext belonging to the same user, so it is especially suitable for cloud computing. Yin et al. put forward the concept of a strong collusion attack on a proxy re-encryption scheme, and carried out a strong collusion attack on the scheme through an example. The existing homomorphic proxy re-encryption schemes use key switching algorithms to generate re-encryption keys, so it can not resist strong collusion attack. In this paper, we construct the first lattice-based homomorphic proxy re-encryption scheme with strong anti-collusion (HPRE-SAC). Firstly, algorithm TrapGen is used to generate an encryption key and trapdoor, then trapdoor sampling is used to generate a decryption key and re-encryption key, respectively. Finally, in order to ensure the homomorphism of ciphertext, a key switching algorithm is only used to generate the evaluation key. Compared with the existing homomorphic proxy re-encryption schemes, our HPRE-SAC scheme not only can resist strong collusion attacks, but also has smaller parameters. Full article
(This article belongs to the Special Issue Smart Cloud Computing Technologies and Application)
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