IoT Provisioning QoS based on Cloud and Fog Computing

The wide-spread Internet of Things (IoT) utilization in almost every scope of our life made it possible to automate daily life tasks with no human intervention. This promising technology has immense potential for making life much easier and open new opportunities for newly developed applications to emerge. However, meeting the diverse Quality of Service (QoS) demands of different applications remains a formidable topic due to diverse traffic patterns, unpredictable network traffic, and resource-limited nature of IoT devices. In this context, application-tailored QoS provisioning mechanisms have been the primary focus of academic research. This paper presents a literature review on QoS techniques developed in academia for IoT applications and investigates current research trends. Background knowledge on IoT, QoS metrics, and critical enabling technologies will be given beforehand, delving into the literature review. According to the comparison presented in this work, the commonly considered QoS metrics are Latency, Reliability, Throughput, and Network Usage. The reviewed studies considered the metrics that fit their provisioning solutions.

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LDAF: Low-Bandwidth Distributed Applications Framework in a Use Case of Blockchain-Enabled IoT Devices

Sensors ◽

10.3390/s19102337 ◽

2019 ◽

Vol 19 (10) ◽

pp. 2337 ◽

Cited By ~ 4

Author(s):

Matevž Pustišek ◽

Dejan Dolenc ◽

Andrej Kos

Keyword(s):

Fog Computing ◽

Distributed Applications ◽

Use Case ◽

Smart Meter ◽

Resource Limited ◽

Application Logic ◽

Periodic Traffic ◽

Communication Traffic ◽

Iot Devices ◽

Application Aware

In this paper, we present Low-Bandwidth Distributed Applications Framework (LDAF)—an application-aware gateway for communication-constrained Internet of things (IoT) devices. A modular approach facilitates connecting to existing cloud backend servers and managing message formats and APIs’ native application logic to meet the communication constraints of resource-limited end devices. We investigated options for positioning the LDAF server in fog computing architectures. We demonstrated the approach in three use cases: (i) a simple domain name system (DNS) query from the device to a DNS server, (ii) a complex interaction of a blockchain—based IoT device with a blockchain network, and (iii) difference based patching of binary (system) files at the IoT end devices. In a blockchain smart meter use case we effectively enabled decentralized applications (DApp) for devices that without our solution could not participate in a blockchain network. Employing the more efficient binary content encoding, we reduced the periodic traffic from 16 kB/s to ~1.1 kB/s, i.e., 7% of the initial traffic. With additional optimization of the application protocol in the gateway and message filtering, the periodic traffic was reduced to ~1% of the initial traffic, without any tradeoffs in the application’s functionality or security. Using a function of binary difference we managed to reduce the size of the communication traffic to the end device, at least when the binary patch was smaller than the patching file.

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Design Capability for Science-based Innovation

Conference Proceedings of the Academy for Design Innovation Management ◽

10.33114/adim.2019.02.275 ◽

2019 ◽

Vol 2 (1) ◽

Author(s):

ROTHKÖTTER Stefanie ◽

Craig C. GARNER ◽

Sándor VAJNA

Keyword(s):

Literature Review ◽

Scientific Discovery ◽

New Technology ◽

Academic Research ◽

Research Interest ◽

Design Practice ◽

Design Technology ◽

Innovation Potential ◽

Design Integration ◽

Cultural Constraints

In light of a growing research interest in the innovation potential that lies at the intersection of design, technology, and science, this paper offers a literature review of design initiatives centered on scientific discovery and invention. The focus of this paper is on evidence of design capabilities in the academic research environment. The results are structured along the Four Orders of Design, with examples of design-in-science initiatives ranging from (1) the design of scientific figures and (2) laboratory devices using new technology to (3) interactions in design workshops for scientists and (4) interdisciplinary design labs. While design capabilities have appeared in all four orders of design, there are barriers and cultural constraints that have to be taken into account for working at or researching these creative intersections. Modes of design integration and potentially necessary adaptations of design practice are therefore also highlighted.

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An Analysis of Professional Competence Indicator Possession among U.S. Accounting Faculty

Issues in Accounting Education ◽

10.2308/iace-51425 ◽

2016 ◽

Vol 32 (2) ◽

pp. 17-38 ◽

Cited By ~ 8

Author(s):

Kenneth J. Smith ◽

David J. Emerson

Keyword(s):

Student Performance ◽

Professional Competence ◽

Academic Research ◽

Practical Experience ◽

Accounting Faculty ◽

Accounting Practice ◽

Cpa Exam ◽

Primary Focus ◽

New Generation

ABSTRACT Recently there has been much discourse regarding the existence, extent, causes, and consequences of a purported divide between accounting practice and academia. The crux of this issue relates to the charge that many new-generation faculty have a primary focus on academic research, but lack significant practical experience or certification, and the related claim that students may lack the requisite skills upon graduation. This study addresses these concerns by examining the incidence and trend in the possession of practice credentials, experience, and other activities among accounting faculty who graduated between 1994 and 2013. We evaluate how differences in institutional focus, possession of a practice credential, and proportion of credentialed faculty manifest in research propensities, current business experience, and student performance on the CPA exam. We identify a downward trend in practice credential possession that is more pronounced at research-oriented institutions. We further find significant differences in experience and publication activity across levels of both institutional focus and possession of a practice credential. We also find that students from research-oriented universities, schools with separate AACSB accounting accreditation, and those with a higher percentage credentialed faculty perform better on the CPA exam. Other results and the role of adjunct faculty in bridging this alleged divide are also examined.

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Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda

Review of Managerial Science ◽

10.1007/s11846-021-00482-9 ◽

2021 ◽

Author(s):

Livio Cricelli ◽

Michele Grimaldi ◽

Silvia Vermicelli

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Open Innovation ◽

Innovation Management ◽

Academic Research ◽

Future Research ◽

Four Dimensions ◽

Word Analysis ◽

The Relationship

AbstractIn recent years, Open Innovation (OI) and crowdsourcing have been very popular topics in the innovation management literature, attracting significant interest and attention, and inspiring a rich production of publications. Although these two topics share common themes and address similar managerial challenges, to the best of our knowledge, there is no systematic literature review that digs deep into the intersection of both fields. To fill in this gap a joint review of crowdsourcing and OI topics is both timely and of interest. Therefore, the main objective of this study is to carry out a comprehensive, systematic, and objective review of academic research to help shed light on the relationship between OI and crowdsourcing. For this purpose, we reviewed the literature published on these two topics between 2008 and 2019, applying two bibliometric techniques, co-citation and co-word analysis. We obtained the following results: (i) we provide a qualitative analysis of the emerging and trending themes, (ii) we discuss a characterization of the intersection between OI and crowdsourcing, identifying four dimensions (strategic, managerial, behavioral, and technological), (iii) we present a schematic reconceptualization of the thematic clusters, proposing an integrated view. We conclude by suggesting promising opportunities for future research.

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An efficient pruning scheme of deep neural networks for Internet of Things applications

EURASIP Journal on Advances in Signal Processing ◽

10.1186/s13634-021-00744-4 ◽

2021 ◽

Vol 2021 (1) ◽

Author(s):

Chen Qi ◽

Shibo Shen ◽

Rongpeng Li ◽

Zhifeng Zhao ◽

Qing Liu ◽

...

Keyword(s):

Neural Network ◽

Neural Networks ◽

Internet Of Things ◽

Deep Neural Networks ◽

Computational Cost ◽

Superior Performance ◽

Compact Structure ◽

Resource Limited ◽

Benchmark Datasets ◽

Iot Devices

AbstractNowadays, deep neural networks (DNNs) have been rapidly deployed to realize a number of functionalities like sensing, imaging, classification, recognition, etc. However, the computational-intensive requirement of DNNs makes it difficult to be applicable for resource-limited Internet of Things (IoT) devices. In this paper, we propose a novel pruning-based paradigm that aims to reduce the computational cost of DNNs, by uncovering a more compact structure and learning the effective weights therein, on the basis of not compromising the expressive capability of DNNs. In particular, our algorithm can achieve efficient end-to-end training that transfers a redundant neural network to a compact one with a specifically targeted compression rate directly. We comprehensively evaluate our approach on various representative benchmark datasets and compared with typical advanced convolutional neural network (CNN) architectures. The experimental results verify the superior performance and robust effectiveness of our scheme. For example, when pruning VGG on CIFAR-10, our proposed scheme is able to significantly reduce its FLOPs (floating-point operations) and number of parameters with a proportion of 76.2% and 94.1%, respectively, while still maintaining a satisfactory accuracy. To sum up, our scheme could facilitate the integration of DNNs into the common machine-learning-based IoT framework and establish distributed training of neural networks in both cloud and edge.

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Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review

Sensors ◽

10.3390/s21144710 ◽

2021 ◽

Vol 21 (14) ◽

pp. 4710

Author(s):

Mariusz Kostrzewski ◽

Rafał Melnik

Keyword(s):

Performance Analysis ◽

Literature Review ◽

Condition Monitoring ◽

Systematic Literature Review ◽

Academic Research ◽

Rail Transport ◽

Transport Systems ◽

Future Research ◽

Area Of Interest ◽

Rail Systems

Condition monitoring of rail transport systems has become a phenomenon of global interest over the past half a century. The approaches to condition monitoring of various rail transport systems—especially in the context of rail vehicle subsystem and track subsystem monitoring—have been evolving, and have become equally significant and challenging. The evolution of the approaches applied to rail systems’ condition monitoring has followed manual maintenance, through methods connected to the application of sensors, up to the currently discussed methods and techniques focused on the mutual use of automation, data processing, and exchange. The aim of this paper is to provide an essential overview of the academic research on the condition monitoring of rail transport systems. This paper reviews existing literature in order to present an up-to-date, content-based analysis based on a coupled methodology consisting of bibliometric performance analysis and systematic literature review. This combination of literature review approaches allows the authors to focus on the identification of the most influential contributors to the advances in research in the analyzed area of interest, and the most influential and prominent researchers, journals, and papers. These findings have led the authors to specify research trends related to the analyzed area, and additionally identify future research agendas in the investigation from engineering perspectives.

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Social Media Use Among Young People in China: A Systematic Literature Review

SAGE Open ◽

10.1177/21582440211016421 ◽

2021 ◽

Vol 11 (2) ◽

pp. 215824402110164

Author(s):

Lian Tang ◽

Siti Zobidah Omar ◽

Jusang Bolong ◽

Julia Wirza Mohd Zawawi

Keyword(s):

Social Media ◽

Young People ◽

Literature Review ◽

Systematic Literature Review ◽

Media Use ◽

Academic Research ◽

Future Research ◽

Research Topics ◽

Social Media Use ◽

Systematic Analysis

The widespread use of social media has promoted extensive academic research on this channel. The present study conducts a systematic analysis of extant research on social media use among young people in China. This systematic literature review aims to identify and bridge gaps in topics, theories, variables, and conceptual frameworks in studies of social media usage among young people in China. The study aims to develop a cause–effect framework that shows the causal relationships among research structures. The PRISMA method is used to review 20 articles drawn from the Scopus and Google Scholar databases. From the analysis, 10 major research topics, eight theories or models, and a complete framework of causal relations emerge. It is recommended that future research on social media should include a greater diversity of types of social media, investigate a wider range of research topics, and adopt different theories or models. Researchers should also implement a more complete and detailed systematic method for reviewing literature on social media research in China.

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Personality trait differences across types of entrepreneurs: a systematic literature review

Review of Managerial Science ◽

10.1007/s11846-021-00466-9 ◽

2021 ◽

Author(s):

Florentine U. Salmony ◽

Dominik K. Kanbach

Keyword(s):

Literature Review ◽

Personality Traits ◽

Systematic Literature Review ◽

Empirical Studies ◽

Academic Research ◽

Future Research ◽

Rural Farmers ◽

Start Up ◽

Wide Range ◽

Research Integration

AbstractThe personality traits that define entrepreneurs have been of significant interest to academic research for several decades. However, previous studies have used vastly different definitions of the term “entrepreneur”, meaning their subjects have ranged from rural farmers to tech-industry start-up founders. Consequently, most research has investigated disparate sub-types of entrepreneurs, which may not allow for inferences to be made regarding the general entrepreneurial population. Despite this, studies have frequently extrapolated results from narrow sub-types to entrepreneurs in general. This variation in entrepreneur samples reduces the comparability of empirical studies and calls into question the reviews that pool results without systematic differentiation between sub-types. The present study offers a novel account by differentiating between the definitions of “entrepreneur” used in studies on entrepreneurs’ personality traits. We conduct a systematic literature review across 95 studies from 1985 to 2020. We uncover three main themes across the previous studies. First, previous research applied a wide range of definitions of the term “entrepreneur”. Second, we identify several inconsistent findings across studies, which may at least partially be due to the use of heterogeneous entrepreneur samples. Third, the few studies that distinguished between various types of entrepreneurs revealed differences between them. Our systematic differentiation between entrepreneur sub-types and our research integration offer a novel perspective that has, to date, been widely neglected in academic research. Future research should use clearly defined entrepreneurial samples and conduct more systematic investigations into the differences between entrepreneur sub-types.

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Survey on DDoS Attacks and Defense Mechanisms in Cloud and Fog Computing

International Journal of E-Services and Mobile Applications ◽

10.4018/ijesma.2018070104 ◽

2018 ◽

Vol 10 (3) ◽

pp. 61-83 ◽

Cited By ~ 10

Author(s):

Deepali Chaudhary ◽

Kriti Bhushan ◽

B.B. Gupta

Keyword(s):

Cloud Computing ◽

Defense Mechanisms ◽

Low Cost ◽

Fog Computing ◽

Smart Devices ◽

Cloud Environment ◽

Security Issue ◽

Process Data ◽

Ddos Attack ◽

Iot Devices

This article describes how cloud computing has emerged as a strong competitor against traditional IT platforms by offering low-cost and “pay-as-you-go” computing potential and on-demand provisioning of services. Governments, as well as organizations, have migrated their entire or most of the IT infrastructure to the cloud. With the emergence of IoT devices and big data, the amount of data forwarded to the cloud has increased to a huge extent. Therefore, the paradigm of cloud computing is no longer sufficient. Furthermore, with the growth of demand for IoT solutions in organizations, it has become essential to process data quickly, substantially and on-site. Hence, Fog computing is introduced to overcome these drawbacks of cloud computing by bringing intelligence to the edge of the network using smart devices. One major security issue related to the cloud is the DDoS attack. This article discusses in detail about the DDoS attack, cloud computing, fog computing, how DDoS affect cloud environment and how fog computing can be used in a cloud environment to solve a variety of problems.

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