Symmetry in IoT and Cloud Infrastructure Development

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 5076

Special Issue Editor


E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues,

The rapid growth witnessed in computer network users has led to the development of a technology where multiple computing devices can be connected, monitored, and managed simultaneously. The symmetry of this growth is related with exponential growth of users. The concept behind the development of such technology was to ensure better network services and features for the users. However, because of the limitations of network technologies and connectivity constraints, in the past, the concept was not feasible for implementation.

The terms Internets of Things (IoT) and smart city are often used to describe the concept in the computer networking industry where different smart devices are connected for sharing information. A smart device is an electronic device connected to a network through wireless technology. The smart device includes smartphones, smart cars, smart thermostats, smart doorbells, and smart speakers, etc. The term smart city relates to an urban area where different IoT devices are managed so as to collect data for intelligent analysis and forecasting. A smart city helps to improve the city infrastructure by collecting and using data.

The IoT and smart city concepts are gaining wider popularity in academia and industry. It is because of their flexible nature and efficiency. However, there are several issues related to the performance, efficiency, data collection, streaming, and analytics of the collected data. Apart from the applications, there are several research gaps pertaining to the IoT services, protocols, architectures, data behavior patterns, algorithms, and development etc.

The purpose of this Special Issue is to provide a platform for researchers to share their research experiences, both theoretical and practical, in defining the issues, challenges, and proposed solutions to address IoT- and smart city-related developments and challenges. We are looking for contributions in the best interest of the IoT/smart city industry and research community. Please note that all submitted papers must be within the general scope of the Symmetry journal.

Potential topics include, but are not limited to, the following:

  • Symmetry in Data analytics and intelligent data processing for smart cities;
  • Artificial intelligence for smart cities;
  • Symmetry and Asymmetry in Big data, pattern behavior, and data analytics;
  • Deep learning for IoTs;
  • Symmetry based Algorithms, applications, architecture, and protocols;
  • IoT and smart city for community services;
  • IoT in education, surveillance, monitoring, and e-health services;
  • Symmetrical and Asymmetrical Machine learning techniques for smart cities;
  • Network challenges in IoT systems;
  • Resource management for IoT systems;
  • Security issues in smart cities;
  • Asymmetrical Smart city and urban infrastructure development.

Prof. Dr. Vijayakumar Varadarajan
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. Symmetry 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 2400 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

  • symmetry
  • internet of things
  • smart cities
  • sensors
  • cloud computing
  • networks
  • connectivity

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

13 pages, 438 KiB  
Article
Smart Architecture Energy Management through Dynamic Bin-Packing Algorithms on Cloud
by Neha Gupta, Kamali Gupta, Shalli Rani, Deepika Koundal and Atef Zaguia
Symmetry 2021, 13(12), 2298; https://doi.org/10.3390/sym13122298 - 2 Dec 2021
Cited by 1 | Viewed by 1304
Abstract
Smart Home Architecture is suitable for progressive and symmetric urbanization. Data being generated in smart home appliances using internet of things should be stored in cloud where computing resources can analyze the data and generate the decisive pattern within no time. This additional [...] Read more.
Smart Home Architecture is suitable for progressive and symmetric urbanization. Data being generated in smart home appliances using internet of things should be stored in cloud where computing resources can analyze the data and generate the decisive pattern within no time. This additional requirement of storage, majorly, comprising of unfiltered data escalates requirement of host machines which carries with itself extra overhead of energy consumption; thus, extra cost has to be beard by service providers. Various static algorithms are already proposed to improve energy management of cloud data centers by reducing number of active bins. These algorithms are not able to cater to the needs of present heterogeneous requests generated in cloud machines by people of diversified work environment with adhering to the requirements of quality parameters. Therefore, the paper has proposed and implemented dynamic bin-packing approaches for smart architecture that can significantly reduce energy consumption without compromising upon makespan, resource utilization and Quality of Service (QoS) parameters. The novelty of the proposed dynamic approaches in comparison to the existing static approaches is that the proposed approach dynamically creates and dissolves virtual machines as per incoming and completed requests which is a dire need of present computing paradigms via attachment of time-frame with each virtual machine. The simulations have been performed on JAVA platform and dynamic energy utilized-best fit decreasing bin packing technique has produced better results in maximum runs. Full article
(This article belongs to the Special Issue Symmetry in IoT and Cloud Infrastructure Development)
Show Figures

Figure 1

14 pages, 2575 KiB  
Article
Smart Architectural Framework for Symmetrical Data Offloading in IoT
by Malvinder Singh Bali, Kamali Gupta, Deepika Koundal, Atef Zaguia, Shubham Mahajan and Amit Kant Pandit
Symmetry 2021, 13(10), 1889; https://doi.org/10.3390/sym13101889 - 7 Oct 2021
Cited by 17 | Viewed by 1990
Abstract
With new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that [...] Read more.
With new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that IoT will bring together 78.4 billion of devices, thus improving the quality of life beyond our imagination; however, there are multiple potential challenges, such as the exploitation of energy consumption and the huge data traffic being generated by smart devices causing congestion and utilizing more bandwidth. Various researchers have provided an alternative to this problem by performing offloading of data, the task and computational requirements of an application at edge and fog nodes of IoT, thus helping to overcome latency issues for critical applications. Despite the importance of an offloading approach in IoT, there is need for a systematic, symmetric, comprehensive, and detailed survey in this field. This paper provides a systematic literature review (SLR) on data offloading approaches in IoT network at edge and fog nodes in the form of a classical taxonomy in order to recognize the state-of-the art mechanism(s) associated with this important topic and provide open consideration of issues as well. All of the research on classified offloading approaches done by researchers is compared with each other according to important factors such as performance metrics, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed. Finally, an efficient smart architecture-based framework is proposed to handle the symmetric data offloading issues. Full article
(This article belongs to the Special Issue Symmetry in IoT and Cloud Infrastructure Development)
Show Figures

Figure 1

Back to TopTop