QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge

Hosseinzadeh, Minoo; Wachal, Andrew; Khamfroush, Hana; Lucani, Daniel E.

doi:10.1109/ccnc49033.2022.9700676

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…Second, the problem is justified as NP‐hard. Finally, an effective offloading algorithm, that is, the PGUS is developed to enhance the overall gain while ensuring the minimal drop‐off 62 . In smart cities, smart grid (SG) is considered an essential component as they distribute power in a more sustainable way.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Finally, an effective offloading algorithm, that is, the PGUS is developed to enhance the overall gain while ensuring the minimal drop-off. 62 In smart cities, smart grid (SG) is considered an essential component as they distribute power in a more sustainable way. Therefore, researchers suggested an authentic framework for maintaining this constant and good-quality power supply in SG.…”

Section: Qosmentioning

confidence: 99%

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A review on evolving domains of Internet of Things: Architecture, applications, and technical challenges

Sharma,

Sangwan,

Singh

2023

Int J Communication

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SummaryThe Internet of Things (IoT) is a system that includes smart items with different sensors, advanced technologies, analytics, cloud servers, and other wireless devices that integrate and work together to create an intelligent environment that benefits end users. With its wide spectrum of applications, IoT is revolutionizing both the current and future generations of the Internet. IoT systems can be employed for broad‐ranging real applications, such as agriculture, the environment, cities, healthcare, and the industrial sector. In this paper, we briefly discuss the three‐tier architectural view of IoT, its different communication technologies, and the smart sensors. Moreover, we study various application areas of IoT such as the environmental domain, healthcare, agriculture, smart cities, and industrial, commercial, and general aspects. A critical analysis is shown for the existing schemes and techniques related to this work. Further, this paper addresses the basic context, tools and evaluation approaches, future scope, and the advantages and disadvantages of the aforestated IoT applications. A comprehensive analysis is provided for each domain along with its fundamental parameters like the quality of service (QoS), network longevity, scalability, energy efficiency, accuracy, and cost. Finally, this study highlights the technical challenges and open research problems existing in different IoT applications.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Qosmentioning

confidence: 99%

A review on evolving domains of Internet of Things: Architecture, applications, and technical challenges

Sharma,

Sangwan,

Singh

2023

Int J Communication

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Dynamic Priority Based Application Offloading Strategy in Mobile Cloud Computing

Sen,

Pandit,

Sarddar

2023

Communications in Computer and Information Science

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Privacy-preserving edge computing offloading scheme based on whale optimization algorithm

et al. 2022

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Aiming at the problem of user’s task offloading in mobile edge computing and the potential leakage of location privacy during the offloading process, a privacy-preserving computing offloading scheme based on whale optimization algorithm is proposed. Using differential privacy technology to obfuscate the user's location information, the user can make task offloading decisions according to the obfuscated distance. Considering the delay, energy consumption, and their weighted sum, the offloading problem is modeled as a convex optimization problem. Then, the whale optimization algorithm is adopted to solve this optimization problem to achieve a balance between privacy protection and resource consumption. Experiments are conducted to verify the relationship between the degree of privacy leakage, the computation-offloading cost and real distance, privacy-preserving impact factor, the respective weights of time delay and energy consumption The experimental results show that the offloading scheme proposed in this paper has good performance in terms of cost and privacy protection.

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QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge

Cited by 5 publications

References 16 publications

A review on evolving domains of Internet of Things: Architecture, applications, and technical challenges

A review on evolving domains of Internet of Things: Architecture, applications, and technical challenges

Dynamic Priority Based Application Offloading Strategy in Mobile Cloud Computing

Privacy-preserving edge computing offloading scheme based on whale optimization algorithm

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