QoS-Aware approach to monitor violations of SLAs in the IoT

Alodib, Mohammed

doi:10.1016/j.jides.2016.10.010

Cited by 22 publications

(10 citation statements)

References 12 publications

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“…In recent times, the IoT commercial applications have been greatly expanded. In a study conducted by Alodib [126], a prototype-driven technique used to mechanize the QoS-aware facility structure involving real-time control was designed. The author mentioned the violation of the service-level agreements (SLAs) as a major worry.…”

Section: Commercial Applicationsmentioning

confidence: 99%

Internet of Things and Its Applications: A Comprehensive Survey

et al. 2020

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With the evolution of the fifth-generation (5G) wireless network, the Internet of Things (IoT) has become a revolutionary technique that enables a diverse number of features and applications. It can able a diverse amount of devices to be connected in order to create a single communication architecture. As it has significantly expanded in recent years, it is fundamental to study this trending technology in detail and take a close look at its applications in the different domains. It represents an enabler of new communication possibilities between people and things. The main asset of this concept is its significant influence through the creation of a new world dimension. The key features required for employing a large-scale IoT are low-cost sensors, high-speed and error-tolerant data communications, smart computations, and numerous applications. This research work is presented in four main sections, including a general overview of IoT technology, a summary of previous correlated surveys, a review regarding the main IoT applications, and a section on the challenges of IoT. The purpose of this study is to fully cover the applications of IoT, including healthcare, environmental, commercial, industrial, smart cities, and infrastructural applications. This work explains the concept of IoT and defines and summarizes its main technologies and uses, offering a next-generation protocol as a solution to the challenges. IoT challenges were investigated to enhance research and development in the fields. The contribution and weaknesses of each research work cited are covered, highlighting eventual possible research questions and open matters for IoT applications to ensure a full analysis coverage of the discussed papers.

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Section: Commercial Applicationsmentioning

confidence: 99%

Internet of Things and Its Applications: A Comprehensive Survey

et al. 2020

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“…Today, with more people being present in local social networks, the need for smart advertisements, the attempt for saving energy and providing green computing paradigms, the appearance of online local businesses, the employment of delay‐sensitive applications, and the utilization of IoT and IoE technologies, the use of locally distributed computing schemes such as fog computing is increasing, and presenting proper scheduling algorithms to meet the requirements of users and applications for these schemes is a crucial issue. Moreover, each type of scheduling algorithm considers some of the scheduling metrics in its operation; some of these metrics are defined as follows 37,38 and 39,40 …”

Section: Conceptmentioning

confidence: 99%

Task scheduling approaches in fog computing: A systematic review

Alizadeh

Khajehvand

Rahmani

et al. 2020

Int J Communication

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SummaryThe Internet of Things (IoT) interconnects billions of physical objects to collect and exchange information and makes available various applications. Despite all the advantages of the IoT, some of its applications are not feasible because of the existing restrictions in the IoT sensors. To overcome these restrictions, cloud computing has been developed in recent years. Although cloud computing has removed some of these restrictions, the cloud itself has faced some other challenges. One of these challenges is the distance between the cloud and the end‐devices, which is not ideal for delay‐sensitive applications and also leads to high communication costs and security problems. To handle these challenges, the fog computing has been introduced in literature, which places the resources and services at the edge of the network, close to the end‐devices. On the other hand, fog nodes suffer from heterogeneity, uncertainty, and dispersion of resources, and also processing, storage, and memory limitations. Thus, there is need for a proper task scheduling approach to use these resources optimally. In this study, the task scheduling algorithms proposed by different researchers for the cloud‐fog environment, their advantages and disadvantages, and also various tools and issues regarding the scheduling methods and their restrictions were discussed. The results indicated that about 58% of the scheduling algorithms use static scheduling and that the other 42% use dynamic scheduling, and the delay metric is the most noteworthy parameter considered in most studies with a share of nearly 17%. Finally, we identified the open issues related to the task scheduling based on cloud‐fog computing and provided some directions for future works.

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“…A model-based testing tool from Microsoft that can generate the test automatically within visual studio or any other unit testing framework Wireshark [60] An open-source analyzer used to analyses software and communications protocol development Petri net [44], [64] A mathematical modeling language for the description of distributed systems.…”

Section: Spec Explorer [20]mentioning

confidence: 99%

Model-Based Quality Assessment of Internet of Things Software Applications: A Systematic Mapping Study

Hamarash

2020

Int. J. Interact. Mob. Technol.

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The Internet of things (IoT) is growing at a fast pace owing to its vast applications in varied fields such as medicine, society, economy, and even the military. This growth cannot continue without establishing high quality. Over the past decade, interest in research for the quality assurance of IoT has gradually grown. However, the discipline is still evolving, and further research is required to investigate the various quality-related aspects. Although assessing the entire system is impractical, to assure the quality of IoT applications, various assessment levels are required. A well-known and established approach to mitigate this difficulty is to model the entire system or a few parts of it for the sake of assessment, which is known as model-based testing. To determine what has been achieved thus far and what is lacking in this direction, this paper presents an extensive study on the use of the model-based approach to assure the quality of IoT applications. The study systematically reviews papers published from 2009 (early publications on IoT) to 2019 that reported the explicit use of models to assess the quality aspects of IoT applications. As a result of an extensive search process, the paper presents the results of scanning and reviewing 390 published papers. Thus far, out of these, 54 studies used the model-based approach to assess at least one quality aspect of an IoT application. In addition to the several relevant research questions that have been addressed in this study, this paper also presents several new insights and approaches for future research.

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QoS-Aware approach to monitor violations of SLAs in the IoT

Cited by 22 publications

References 12 publications

Internet of Things and Its Applications: A Comprehensive Survey

Internet of Things and Its Applications: A Comprehensive Survey

Task scheduling approaches in fog computing: A systematic review

Model-Based Quality Assessment of Internet of Things Software Applications: A Systematic Mapping Study

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