Software defined IoT: Issues and challenges

Ninikrishna, T.; Sarkar, Sutapa; Tengshe, Richa; Jha, Mahesh Kumar; Sharma, Laxmi; Daliya, V. K.; Routray, Sudhir K.

doi:10.1109/iccmc.2017.8282560

Cited by 42 publications

(19 citation statements)

References 10 publications

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“…It is interesting that the literature review of the subject shows a scarcity of literature in Spanishspeaking countries, therefore there is an opportunity to continue exploring research that demonstrates the adoption of SDN networks and all the challenges that it faces. As future research on the subject, the opportunity for the SDN market appears, motivated by the increase in resources demanded by the different technological trends, which include BYOD ("Bring Your Own Device") it frames new challenges to achieve greater security [65], developing solutions that allow the deployment of SDN, providing mobility, management, and monitoring of the devices that have essential information of the organizations, [66].…”

Section: Discussionmentioning

confidence: 99%

State of the art in software defined networking (SDN)

Pérez¹,

Losada²,

Rojas³

et al. 2019

Vis. Electron.

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The growth of networks at a global level is inevitable due to the increase of users, devices and applications, such as: Internet of Things (IoT), processing and analysis of large amounts of information (Big Data), or streaming audio and video, which has demanded from the systems, greater storage resources and bandwidth. To this purpose, diverse paradigms have emerged for the centralized management of all the components of a network through fully administrable, centralized and dynamic technological platforms; among these is SDN (Software-Defined Networks). This document, consequently, establishes the state-of-art from a documentary research of a categorical type to be used as a frame of reference for research in the area of SDN by the Research Group of New Technologies of Social Application GIDENUTAS ascribed to the University Francisco Jose de Caldas. This is chronologically limited to a review, from 2007 until today, focused on the countries that have promoted the development and implementation of this new paradigm, using databases such as IEEE Xplore, Google Scholar, as well as documents from standardization organizations such as ONF and ITU.

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Section: Discussionmentioning

confidence: 99%

State of the art in software defined networking (SDN)

Pérez¹,

Losada²,

Rojas³

et al. 2019

Vis. Electron.

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“…Inevitably, the imminent arrival of the IoT, consisting of interconnected devices, creates scalability, mobility, security and privacy, QoE resource management [399] and multimedia network management challenges [400], [401]. Authors in [402] present QoE management aspects of multimedia in IoT applications and define a layered QoE model aimed at evaluating and estimating the overall QoE.…”

Section: G Multimedia Communications In Internet Of Things (Iots)mentioning

confidence: 99%

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze

Barman

Ahmad

et al. 2020

IEEE Commun. Surv. Tutorials

160

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The highly demanding Over-The-Top (OTT) multimedia applications pose increased challenges to Internet Service Providers (ISPs) for assuring a reasonable Quality of Experience (QoE) to their customers due to lack of flexibility, agility and scalability in traditional networks. The future networks are shifting towards the cloudification of the network resources via Software Defined Networks (SDN) and Network Function Virtualization (NFV). This will equip ISPs with cutting-edge technologies to provide service customization during service delivery and offer QoE which meets customers' needs via intelligent QoE control and management approaches. Towards this end, we provide in this paper a tutorial and a comprehensive survey of QoE management solutions in current and future networks. We start with a highlevel description of QoE management for multimedia services, which integrates QoE modelling, monitoring, and optimization. This followed by a discussion of HTTP Adaptive Streaming (HAS) solutions as the dominant technique for streaming videos over the best-effort Internet. We then summarize the key elements in SDN/NFV along with an overview of ongoing research projects, standardization activities and use cases related to SDN, NFV, and other emerging applications. We provide a survey of the state-of-the-art of QoE management techniques categorized into three different groups: a) QoE-aware/driven strategies using SDN and/or NFV; b) QoE-aware/driven approaches for adaptive streaming over emerging architectures such as multi-access edge computing, cloud/fog computing, and information-centric networking; and c) extended QoE management approaches in new domains such as immersive augmented and virtual reality, mulsemedia and video gaming applications. Based on the review, we present a list of identified future QoE management challenges regarding emerging multimedia applications, network management and orchestration, network slicing and collaborative service management in softwarized networks. Finally, we provide a discussion on future research directions with a focus on emerging research areas in QoE management, such as QoEoriented business models, QoE-based big data strategies, and scalability issues in QoE optimization.

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“…The most highlighted issues which IoT face interoperability, scalability, data volume, mobility, security and privacy, implementation and competency [13,14]. The important issue is security and privacy of the data which need serious attention [15].…”

Section: Related Studymentioning

confidence: 99%

“…To managing and analysing oceanography, big data is difficult due to increasing the growth of big data [32] and devices heterogeneity issue [33]. In IoT, Scalability, Mobility, Interoperability, Data volume, Security, privacy, Implementation, and competency issues have highlighted [13]. The integration challenge of data from devices, sensors, new applications, and services in the ocean has increased and more complexed [16].…”

Section: Ocean Iots and Big Datamentioning

confidence: 99%

A Systematic Review on Software Architectures for IoT Systems and Future Direction to the Adoption of Microservices Architecture

Razzaq

2020

SN COMPUT. SCI.

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The Internet of Things-based systems and software allow computations anywhere at any time by interconnecting individuals, networks, services, computers and artefacts that allow autonomous systems to form digitized communities. As the blueprint for software-intensive applications, and software architecture that precise the complexity of a network's planning, development, and changing phases to effectively and efficiently build complex IoT-driven applications. In any case, there exists no comprehensive analysis in the state of the research on the adoption of MSA for IoT systems. This study effort is needed to explore architectural concepts and practices for designing and developing IoT software to excel state-of-the-art for IoTs along with suggestions and recommendations for IoT software to the adoption of MSA to fulfil the identified gaps. A systematic analysis was coordinated, covering up the literature on existing IoT solutions by studying 140 qualitatively selected articles performed between 2005 and Jan 2020. One hundred forty articles were comprised in this SLR. The findings of this study demonstrated different research topics including software architectural styles, patterns, and models to build IoT software. This research presents cloud-based computing environments, autonomous, software-defined networking, and responsive applications, and IoT-driven agent-based systems, (1) thirteen MSA architectural and design patterns for IoTs and classification of patterns, (2) classification of software architectures for IoTs into nine main categories and their sub-categories, (3) twenty-three most investigated IoT challenges, and (4) mapping of IoT challenges with software architectural solutions. The study revealed the innovative work on IoT software architecture and trends that help in the creation and dynamic adaptation of IoT software for reusability, automation and human decision-making. The outputs of this SLR are useful in revealing many recommendations to the software industry, software engineering community, and computer sciences community with over the past 15 years of research into the adoption of MSA. This study reflects a distilled awareness of architectural practices and principles to assist researchers and practitioners in promoting information sharing software architectural roles and responsibilities for the Internet of Things software.

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Software defined IoT: Issues and challenges

Cited by 42 publications

References 10 publications

State of the art in software defined networking (SDN)

State of the art in software defined networking (SDN)

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

A Systematic Review on Software Architectures for IoT Systems and Future Direction to the Adoption of Microservices Architecture

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