Framework for Adaptive Computation Offloading in IoT Applications

Chen, Shihong; Liu, Bichun; Chen, Xing; Zhang, Ying; Huang, Gang

doi:10.1145/3131704.3131717

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…The research work conducted by Chen et al [117] introduced a structure for offloading for adaptive computation. The paper presents a model to distribute calculation on the fly by applying the adaptation.…”

Section: Smart City 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: Smart City Applicationsmentioning

confidence: 99%

Internet of Things and Its Applications: A Comprehensive Survey

et al. 2020

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“…Table III can be a guide for practitioners to identify available IoT patterns in terms of abstraction level, domain specificity, and quality attributes. Surprisingly, only two patterns "OCM" [19], [47] and "computation offloading" [22], [33] are mentioned in multiple papers. The rest appear in one paper, demonstrating that IoT patterns are not shared or recognized by different research groups.…”

Section: Rq3 Can Iot Architecture and Design Patterns Be Classified?mentioning

confidence: 99%

Landscape of Architecture and Design Patterns for IoT Systems

Washizaki

Ogata

Hazeyama

et al. 2020

IEEE Internet Things J.

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Due to the widespread proliferation of today's Internet of Things (IoT), a system designer needs the IoT system and software design patterns to assist in designing scalable and replicable solutions. Patterns are encapsulations of reusable common problems and solutions under specific contexts. Many IoT patterns have been published, such as IoT design patterns and IoT architecture patterns to document the successes (and failures) in IoT systems and software development. However, because these patterns are not well classified, their adoption does not live up to their potential. To understand the reasons, we conducted a systematic literature review. From the 32 identified papers, 143 IoT architecture and design patterns were extracted. We analyzed these patterns according to several characteristics and outlined directions for improvements when publishing and adopting IoT patterns. Of the extracted patterns, 57% are non-IoT patterns, suggesting that IoT systems and software are often designed via conventional architecture and design patterns that are not specific to IoT design. Although most IoT design patterns are applicable to any domain, IoT architecture patterns tend to be domain specific, implying that the unique nature of IoT adoption in specific domains appears at the architecture level. As more domains adopt IoT, the number of domain-specific IoT design patterns should increase. In terms of quality attributes, many IoT patterns address compatibility, security, and maintainability.

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Internet of Things offloading: Ongoing issues, opportunities, and future challenges

Heidari

Jamali

Navimipour

et al. 2020

Int J Communication

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SummaryInternet of Things (IoT) has very remarkable advantages over customary communication technologies. However, IoT suffers from different issues, such as limited battery life, low storage capacity, and little computing capacity. For this reason, in many IoT applications and devices, we require an alternative unit to execute the tasks from the user's device and return results. In general, the problem of limited resources by transferring the computation workload to other devices/systems with better resources is addressed by offloading computation. It can be focused on improving the application, extending battery life, or expanding storage capacity. The offloading operation can be performed based on various quality of service (QoS) parameters that contain computational demands for load balancing, response time, application, energy consumption, latency, and other things. Moreover, the systematic literature review (SLR) method is used to identify, assess, and integrate findings from all relevant studies that address one or more research questions on IoT offloading and conduct a comprehensive study of empirical research on offloading techniques. However, we present a new taxonomy for them based on offloading decision mechanisms and overall architectures. Furthermore, we offer a parametric comparison for the offloading methods. As well, we present the future direction and research opportunities in IoT offloading computation. This survey will assist academics and practitioners to directly understand the progress in IoT offloading.

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Framework for Adaptive Computation Offloading in IoT Applications

Cited by 7 publications

References 14 publications

Internet of Things and Its Applications: A Comprehensive Survey

Internet of Things and Its Applications: A Comprehensive Survey

Landscape of Architecture and Design Patterns for IoT Systems

Internet of Things offloading: Ongoing issues, opportunities, and future challenges

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