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Computers
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Integration of Cloud Computing and IoT
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Integration of Cloud Computing and IoT

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Internet of Things (IoT) and Industrial IoT".

Deadline for manuscript submissions: closed (15 September 2021) | Viewed by 12913

Special Issue Editor

Dr. Grigorios E. Koulouras

E-Mail Website
Guest Editor
Telecommunications, Signal Processing and Intelligent Systems Research Laboratory, Department of Electrical and Electronic Engineering, University of West Attica, Αncient Οlive Grove Campus, Building A, Room A119, 250 Thivon Str., GR-12241 Egaleo, Athens, Greece
Interests: IoT; embedded systems; data acquisition systems; big data; computational intelligence; cloud computing; virtualization; configuration management systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The concept of the Internet of Things (IoT) was introduced some years ago. The term “Things” refers to distributed embedded devices which are able to sense, decide and actuate in a reliable and cost-efficient manner (e.g., mobile devices, smart watches, wearable devices, sensors, etc.). The rise of such devices led to new, cost-efficient application scenarios (e.g., smart homes, smart vehicles, smart cities, smart farming, smart grids, e-health, etc.). The challenge of handling the immense volume of heterogeneous data produced by these IoT devices mandated the use of modern, efficient design and implementation techniques. In most cases, the key to overcoming this challenge is cloud computing. Cloud-based solutions usually offer unlimited storage, scalability, security, flexibility, disaster recovery, loss prevention, pay-as-you-go services, etc.

This Special Issue is intended to draw together innovative developments in both cloud computing and Internet of Things, with the ultimate goal of contributing to the creation of innovative and practical applications for any situation. Respectively, we welcome contributions that are willing to share technologies, including applications from either a theoretical or a practical point of view. Computers is seeking original, high-impact research papers on all topics related to the combination of cloud computing and Internet of Things. Topics of interest, include, but are not limited to:

  • Cloud computing
  • Internet of Things
  • Web of Things
  • Industry 4.0
  • Block-chain for IoT
  • Block-chain for cloud computing
  • IoT architectures and models
  • Integration and collaborations
  • Network protocols, network design and architectures
  • Software systems
  • Data processing and management
  • IoT and Big Data
  • IoT and computational intelligence
  • IoT and e-health applications
  • Security, trust and privacy
  • Fault tolerance and reliability
  • Performance evaluation and modeling

Dr. Grigorios E. Koulouras
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Internet of Things
  • Web of Things
  • cloud computing
  • big data
  • cloud-based Internet of Things
  • IoT and computational intelligence
  • Industry 4.0
  • block-chain
  • security
  • semantic web

Published Papers (4 papers)

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Research

14 pages, 2664 KiB  
Article
An Architecture for Distributed Electronic Documents Storage in Decentralized Blockchain B2B Applications
by Obadah Hammoud, Ivan Tarkhanov and Artyom Kosmarski
Computers 2021, 10(11), 142; https://0-doi-org.brum.beds.ac.uk/10.3390/computers10110142 - 04 Nov 2021
Cited by 5 | Viewed by 1942
Abstract
This paper investigates the problem of distributed storage of electronic documents (both metadata and files) in decentralized blockchain-based b2b systems (DApps). The need to reduce the cost of implementing such systems and the insufficient elaboration of the issue of storing big data in [...] Read more.
This paper investigates the problem of distributed storage of electronic documents (both metadata and files) in decentralized blockchain-based b2b systems (DApps). The need to reduce the cost of implementing such systems and the insufficient elaboration of the issue of storing big data in DLT are considered. An approach for building such systems is proposed, which allows optimizing the size of the required storage (by using Erasure coding) and simultaneously providing secure data storage in geographically distributed systems of a company, or within a consortium of companies. The novelty of this solution is that we are the first who combine enterprise DLT with distributed file storage, in which the availability of files is controlled. The results of our experiment demonstrate that the speed of the described DApp is comparable to known b2c torrent projects, and subsequently justify the choice of Hyperledger Fabric and Ethereum Enterprise for its use. Obtained test results show that public blockchain networks are not suitable for creating such a b2b system. The proposed system solves the main challenges of distributed data storage by grouping data into clusters and managing them with a load balancer, while preventing data tempering using a blockchain network. The considered DApps storage methodology easily scales horizontally in terms of distributed file storage and can be deployed on cloud computing technologies, while minimizing the required storage space. We compare this approach with known methods of file storage in distributed systems, including central storage, torrents, IPFS, and Storj. The reliability of this approach is calculated and the result is compared to traditional solutions based on full backup. Full article
(This article belongs to the Special Issue Integration of Cloud Computing and IoT)
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22 pages, 7682 KiB  
Article
Smart Interconnected Infrastructures for Security and Protection: The DESMOS Project
by Michail Feidakis, Christos Chatzigeorgiou, Christina Karamperi, Lazaros Giannakos, Vasileios-Rafail Xefteris, Dimos Ntioudis, Athina Tsanousa, Dimitrios G. Kogias, Charalampos Patrikakis, Georgios Meditskos, Georgios Gorgogetas, Stefanos Vrochidis and Ioannis Kompatsiaris
Computers 2021, 10(9), 116; https://0-doi-org.brum.beds.ac.uk/10.3390/computers10090116 - 16 Sep 2021
Cited by 1 | Viewed by 2374
Abstract
This paper presents “DESMOS”, a novel ecosystem for the interconnection of smart infrastructures, mobile and wearable devices, and applications, to provide a secure environment for visitors and tourists. The presented solution brings together state-of-the-art IoT technologies, crowdsourcing, localization through BLE, and semantic reasoning, [...] Read more.
This paper presents “DESMOS”, a novel ecosystem for the interconnection of smart infrastructures, mobile and wearable devices, and applications, to provide a secure environment for visitors and tourists. The presented solution brings together state-of-the-art IoT technologies, crowdsourcing, localization through BLE, and semantic reasoning, following a privacy and security-by-design approach to ensure data anonymization and protection. Despite the COVID-19 pandemic, the solution was tested, validated, and evaluated via two pilots in almost real settings—involving a fewer density of people than planned—in Trikala, Thessaly, Greece. The results and findings support that the presented solutions can provide successful emergency reporting, crowdsourcing, and localization via BLE. However, these results also prompt for improvements in the user interface expressiveness, the application’s effectiveness and accuracy, as well as evaluation in real, overcrowded conditions. The main contribution of this paper is to report on the progress made and to showcase how all these technological solutions can be integrated and applied in realistic and practical scenarios, for the safety and privacy of visitors and tourists. Full article
(This article belongs to the Special Issue Integration of Cloud Computing and IoT)
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23 pages, 3603 KiB  
Article
Proposal for an Implementation Guide for a Computer Security Incident Response Team on a University Campus
by William Villegas-Ch., Ivan Ortiz-Garces and Santiago Sánchez-Viteri
Computers 2021, 10(8), 102; https://0-doi-org.brum.beds.ac.uk/10.3390/computers10080102 - 19 Aug 2021
Cited by 8 | Viewed by 4548
Abstract
Currently, society is going through a health event with devastating results. In their desire to control the 2019 coronavirus disease, large organizations have turned over the execution of their activities to the use of information technology. These tools, adapted to the use of [...] Read more.
Currently, society is going through a health event with devastating results. In their desire to control the 2019 coronavirus disease, large organizations have turned over the execution of their activities to the use of information technology. These tools, adapted to the use of the Internet, have been presented as an effective solution to the measures implemented by the majority of nations where quarantines are generalized. However, the solution given by information technologies has several disadvantages that must be solved. The most important in this regard is with the serious security incidents that exist, where many organizations have been compromised and their data has been exposed. As a solution, this work proposes the design of a guide that allows for the implementation of a computer incident response team on a university campus. Universities are optimal environments for the generation of new technologies; they also serve as the ideal test bed for the generation of security policies and new treatments for incidents in an organization. In addition, with the implementation of the computer incident response team in a university, it is proposed to be part of a response group to any security incident at the national level. Full article
(This article belongs to the Special Issue Integration of Cloud Computing and IoT)
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12 pages, 5530 KiB  
Article
Providing Consistent State to Distributed Storage System
by Laskhmi Siva Rama Krishna Talluri, Ragunathan Thirumalaisamy, Ramgopal Kota, Ram Prasad Reddy Sadi, Ujjwal KC, Ranesh Kumar Naha and Aniket Mahanti
Computers 2021, 10(2), 23; https://0-doi-org.brum.beds.ac.uk/10.3390/computers10020023 - 15 Feb 2021
Cited by 4 | Viewed by 3304
Abstract
In cloud storage systems, users must be able to shut down the application when not in use and restart it from the last consistent state when required. BlobSeer is a data storage application, specially designed for distributed systems, that was built as an [...] Read more.
In cloud storage systems, users must be able to shut down the application when not in use and restart it from the last consistent state when required. BlobSeer is a data storage application, specially designed for distributed systems, that was built as an alternative solution for the existing popular open-source storage system-Hadoop Distributed File System (HDFS). In a cloud model, all the components need to stop and restart from a consistent state when the user requires it. One of the limitations of BlobSeer DFS is the possibility of data loss when the system restarts. As such, it is important to provide a consistent start and stop state to BlobSeer components when used in a Cloud environment to prevent any data loss. In this paper, we investigate the possibility of BlobSeer providing a consistent state distributed data storage system with the integration of checkpointing restart functionality. To demonstrate the availability of a consistent state, we set up a cluster with multiple machines and deploy BlobSeer entities with checkpointing functionality on various machines. We consider uncoordinated checkpoint algorithms for their associated benefits over other alternatives while integrating the functionality to various BlobSeer components such as the Version Manager (VM) and the Data Provider. The experimental results show that with the integration of the checkpointing functionality, a consistent state can be ensured for a distributed storage system even when the system restarts, preventing any possible data loss after the system has encountered various system errors and failures. Full article
(This article belongs to the Special Issue Integration of Cloud Computing and IoT)
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