scholarly journals Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 309 ◽  
Author(s):  
Hind Bangui ◽  
Said Rakrak ◽  
Said Raghay ◽  
Barbora Buhnova
Keyword(s):  
Cloud Computing ◽  
Leading Edge ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Iot Applications ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

Centralized, Distributed, and Everything in between

2022 ◽  
Vol 54 (7) ◽  
pp. 1-34
Author(s):  
Sophie Dramé-Maigné ◽  
Maryline Laurent ◽  
Laurent Castillo ◽  
Hervé Ganem
Keyword(s):  
Access Control ◽  
Future Research ◽  
The Internet ◽  
Research Directions ◽  
Security Issues ◽  
Security Properties ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Security Of Iot

The Internet of Things is taking hold in our everyday life. Regrettably, the security of IoT devices is often being overlooked. Among the vast array of security issues plaguing the emerging IoT, we decide to focus on access control, as privacy, trust, and other security properties cannot be achieved without controlled access. This article classifies IoT access control solutions from the literature according to their architecture (e.g., centralized, hierarchical, federated, distributed) and examines the suitability of each one for access control purposes. Our analysis concludes that important properties such as auditability and revocation are missing from many proposals while hierarchical and federated architectures are neglected by the community. Finally, we provide an architecture-based taxonomy and future research directions: a focus on hybrid architectures, usability, flexibility, privacy, and revocation schemes in serverless authorization.

Fog Computing and Its Challenges

2019 ◽  
pp. 36-52
Author(s):  
Vighnesh Srinivasa Balaji
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Service Level ◽  
Future Research ◽  
Research Directions ◽  
Security Issues ◽  
Computing Paradigm ◽  
Future Research Directions ◽  
Time Latency ◽  
Iot Devices

In recent times, the number of internet of things (IoT) devices/sensors increased tremendously. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing paradigm named fog computing has been introduced. In this chapter, the authors will introduce fog computing, its difference in comparison to cloud computing, and issues related to fog. Among the three issues (i.e. service, structural, and security issues), this chapter scrutinizes and comprehensively discusses the service and structural issues also providing the service level objectives of the fog. They next provide various algorithms for computing in fog, the challenges faced, and future research directions. Among the various uses of fog, two scenarios are put to use.

Methods for Assessing, Predicting, and Improving Data Veracity: A survey

2020 ◽  
Vol 9 (4) ◽  
pp. 5-30
Author(s):  
Fatmah Assiri
Keyword(s):  
Big Data ◽  
Web Applications ◽  
Smart Cities ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Software Construction ◽  
Technical Solutions ◽  
The Internet Of Things

Data is an essential part of smart cities, and data can play an important role indecision making processes. Data generated through web applications and devicesutilize the Internet of Things (IoT) and related technologies. Thus, it is also importantto be able to create big data, which has historically been defined as having threekey dimensions: volume, variety, and velocity. However, recently, veracity has beenadded as the fourth dimension. Data veracity relates to the quality of the data. Anypotential issues with the quality of the data must be corrected because low-quality dataleads to poor software construction, and ultimately bad decision making. In this work,we reviewed the existing literature on related technical solutions that address dataveracity based on the domain of its application, including social media, web, and IoTapplications. The challenges or limitations and related gaps in existing work will bediscussed, and future research directions will be proposed to address the critical issuesof data veracity in the era of big data

scholarly journals Computational Techniques for Eye Movements Analysis towards Supporting Early Diagnosis of Alzheimer’s Disease: A Review

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Jessica Beltrán ◽  
Mireya S. García-Vázquez ◽  
Jenny Benois-Pineau ◽  
Luis Miguel Gutierrez-Robledo ◽  
Jean-François Dartigues
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Eye Movements ◽  
Early Diagnosis ◽  
Future Research ◽  
Computational Techniques ◽  
Research Directions ◽  
Future Research Directions ◽  
Tools And Techniques

An opportune early diagnosis of Alzheimer’s disease (AD) would help to overcome symptoms and improve the quality of life for AD patients. Research studies have identified early manifestations of AD that occur years before the diagnosis. For instance, eye movements of people with AD in different tasks differ from eye movements of control subjects. In this review, we present a summary and evolution of research approaches that use eye tracking technology and computational analysis to measure and compare eye movements under different tasks and experiments. Furthermore, this review is targeted to the feasibility of pioneer work on developing computational tools and techniques to analyze eye movements under naturalistic scenarios. We describe the progress in technology that can enhance the analysis of eye movements everywhere while subjects perform their daily activities and give future research directions to develop tools to support early AD diagnosis through analysis of eye movements.

Value Co-Creation in Cloud Services

2013 ◽  
pp. 74-91 ◽  
Author(s):  
Ammar Rashid ◽  
William Yu Chung Wang ◽  
Felix B. Tan
Keyword(s):  
Service Providers ◽  
Practical Experience ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Technical Aspects ◽  
Creation Process ◽  
Managerial Implications ◽  
Future Research Directions

In recent years, there has been considerable interest in cloud services in academic literature. Most research in this area has focused on the technical aspects of designing and implementing cloud services, with few studies focusing on understanding the value of cloud services and the processes by which consumer and service providers engage each other to co-create these services. This chapter explains the co-creation processes, and, the role of consumer in the value co-creation process of cloud services. It incorporates extant marketing and information systems literature, industry reports, and practical experience reflections to highlight the significance of cloud services. The drivers of co-creation are explored with the description of co-creation processes and the underlying factors involved in value co-creation of cloud services. The chapter concludes by outlining the opportunities associated with the development of cloud services, noting future research directions and discussing academic and managerial implications.

Cloud and Mobile

2016 ◽  
pp. 1-20 ◽  
Author(s):  
Antonio Miguel Rosado da Cruz ◽  
Sara Paiva
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Devices ◽  
Mobile Apps ◽  
Mobile Technologies ◽  
Future Research ◽  
Mobile Cloud ◽  
Research Projects ◽  
Research Directions ◽  
Future Research Directions

Mobile computing and Cloud computing are two of the most growing technologies in number of users, practitioners and research projects. This chapter surveys mobile technologies and applications, along with cloud computing technologies and applications, presenting their evolution and characteristics. Then, building on mobile devices limitations and mobile apps increasing need of resources, and on the cloud computing ability to overcome those limitations, the chapter presents mobile cloud computing, and characterizes it by addressing approaches to augment mobile devices capabilities. The chapter is settled after some views about future research directions and some concluding remarks.

Science for All through Reflective Interactions

2012 ◽  
pp. 102-118 ◽  
Author(s):  
Jennifer J. Neakrase ◽  
H. Prentice Baptiste ◽  
Ashley N. Ryan ◽  
Elsa Q. Villa
Keyword(s):  
Science Classroom ◽  
Future Research ◽  
Online Environment ◽  
Science Content ◽  
Science Concept ◽  
Research Directions ◽  
Online Interactions ◽  
Future Research Directions ◽  
The Individual

One of the goals of science education is to ensure that the discipline of science is accessible to all individuals. By many organizations this has been termed “Science for All,” and those who promote this idea also advocate the connection to science literacy. Teaching science in the online environment has been one way to offer science content to many different individuals, who do not necessarily need to be in the same location. Discourse in the science classroom is framed under situated cognition theory, whereby interactions between individuals are part of the normal culture of the classroom. For science knowledge to be adequately constructed by a student these interactions must be meaningful ones. This is especially important in an online science course where typically learning occurs through interactions between the students and the instructor, the students with one another, and within the individual themselves. As part of these online interactions, good reflective practice includes the different forms of feedback and the quality of this feedback. However, even with quality reflective interactions, there are barriers to science concept construction in an online environment. These barriers are discussed, and future research directions are suggested based on this review.

Unit of Analysis in Digitally-Enabled Electronic Procurement Research

2020 ◽  
pp. 83-103
Author(s):  
Md Mahbubur Rahim ◽  
Maryam Jabberzadeh ◽  
Nergiz Ilhan
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Critical Issue ◽  
Future Research ◽  
Research Directions ◽  
Research Issues ◽  
Unit Of Analysis ◽  
Electronic Procurement ◽  
Future Research Directions ◽  
Methodological Concern

E-procurement systems that have been in place for over a decade have begun incorporating digital tools like big data, cloud computing, internet of things, and data mining. Hence, there exists a rich literature on earlier e-procurement systems and advanced digitally-enabled e-procurement systems. Existing literature on these systems addresses many research issues (e.g., adoption) associated with e-procurement. However, one critical issue that has so far received no rigorous attention is about “unit of analysis,” a methodological concern of importance, for e-procurement research context. Hence, the aim of this chapter is twofold: 1) to discuss how the notion of “unit of analysis” has been conceptualised in the e-procurement literature and 2) to discuss how its use has been justified by e-procurement scholars to address the research issues under investigation. Finally, the chapter provides several interesting findings and outlines future research directions.

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