Special Issue "Integration of Cloud Computing and IoT"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 15 September 2021.

Special Issue Editor

Dr. Grigorios E. Koulouras
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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
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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 papers will be 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 1400 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 (1 paper)

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Research

Open AccessArticle
Providing Consistent State to Distributed Storage System
Computers 2021, 10(2), 23; https://0-doi-org.brum.beds.ac.uk/10.3390/computers10020023 - 15 Feb 2021
Viewed by 694
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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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Providing Consistent State to Distributed Storage System
Authors: Aniket Mahanti; Ranesh Kumar Naha
Affiliation: University of Auckland, NZ and University of New Brunswick, Canada
Abstract: Cloud computing expedite a new perspective in computing. In cloud storage systems, users must be able to shut down the application when not used 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 known as Hadoop Distributed File System (HDFS) developed by Hadoop. Providing check point restart functionality to support consistent start and stop state to BlobSeer components when integrated with, the cloud. In cloud model all the components needs to stop and restart from a consistent state when user requires. The goal of this paper is to offer check-point restart functionality to various components of BlobSeer. Towards achieving this goal, we setup a cluster and deployed BlobSeer entities on various machines. For implementing this feature, we have considered uncoordinated check-point algorithms to various BlobSeer components such as provider manager, version manager, data provider and metadata provider. We performed series of tests to validate our check-point restart algorithm for these components. The results indicate that Blobseer is able to start from previous consistent state after restarting the system.

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