A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment DOI Creative Commons

G. Senthilkumar,

K. N. Madhusudhan,

Y. Jeyasheela

и другие.

Automatika, Год журнала: 2024, Номер 65(3), С. 973 - 982

Опубликована: Март 12, 2024

Large amounts of processing resources are required for the sensed raw big data during generation process. Furthermore, as typically privacy sensitive, blockchain technology can be used to ensure concerns. This study examines a multiuser mobile offloading network that consists cloud server located remotely and an edge node. We formulate problem joint optimization task decision making all users, computation resource allocation among executing applications, radio assignment remote-processing applications. The goal is minimize maximum weighted cost users. When compared other benchmark approaches, simulation results show proposed algorithm achieves optimal in terms both energy consumption delay result collaboration. Finally strategy with 93% efficiency obtained.

Язык: Английский

Application and Research of IoT Architecture for End-Net-Cloud Edge Computing DOI Open Access
Yongqiang Zhang,

Hongchang Yu,

Wanzhen Zhou

и другие.

Electronics, Год журнала: 2022, Номер 12(1), С. 1 - 1

Опубликована: Дек. 20, 2022

At the edge of network close to source data, computing deploys computing, storage and other capabilities provide intelligent services in proximity offers low bandwidth consumption, latency high security. It satisfies requirements transmission bandwidth, real-time security for Internet Things (IoT) application scenarios. Based on IoT architecture, an (EC-IoT) reference architecture is proposed, which contained three layers: The end edge, cloud edge. Furthermore, key technologies artificial intelligence (AI) technology EC-IoT analyzed. Platforms different locations are classified by comparing platforms. On basis industrial (IIoT) solution, Vehicles (IoV) a gateway-based smart home proposed. Finally, trends challenges examined, will have very promising applications.

Язык: Английский

Процитировано

23

A Binary Gray Wolf Optimization algorithm for deployment of Virtual Network Functions in 5G hybrid cloud DOI

Mohammad Shahjalal,

Nusrat Farhana, Palash Roy

и другие.

Computer Communications, Год журнала: 2022, Номер 193, С. 63 - 74

Опубликована: Июнь 30, 2022

Язык: Английский

Процитировано

20

QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management DOI Creative Commons
Boonyarith Saovapakhiran,

Wibhada Naruephiphat,

Chalermpol Charnsripinyo

и другие.

IEEE Access, Год журнала: 2022, Номер 10, С. 84579 - 84621

Опубликована: Янв. 1, 2022

Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT service providers (SPs) are emerging the market and competing to offer their services. Many applications utilize these an integrated manner with different Quality-of-Service (QoS) requirements. Thus, provisioning end-to-end QoS is getting more indispensable for platforms. However, system by using only metrics without considering user experiences not sufficient. Recently, Quality Experience (QoE) model has become a promising approach quantify actual A holistic design that considers constraints various QoS/QoE together needed satisfy requirements Besides, may operate environments limited resources. Therefore, effective management resources essential support. This paper provides comprehensive survey state-of-the-art studies on perspective. Our contributions threefold: (1) QoE-driven architecture demonstrated classifying vital components according QoE-related functions prior studies, (2) QoE optimization objectives classified corresponding resource control problems architecture, (3) QoE-aware e.g., offloading, placement data caching policies Machine Learning approaches extensively reviewed.

Язык: Английский

Процитировано

18

Evolution of Hybrid LiFi–WiFi Networks: A Survey DOI Creative Commons
Toni Besjedica, Krešimir Fertalj, Vlatko Lipovac

и другие.

Sensors, Год журнала: 2023, Номер 23(9), С. 4252 - 4252

Опубликована: Апрель 25, 2023

Given the growing number of devices and their need for internet access, researchers are focusing on integrating various network technologies. Concerning indoor wireless services, a promising approach in this regard is to combine light fidelity (LiFi) (WiFi) technologies into hybrid LiFi WiFi (HLWNet). Such benefits from LiFi’s distinct capability high-speed data transmission wide radio coverage offered by In paper, we describe framework HWLNet architecture, providing an overview handover methods used HLWNets presenting basic architecture LiFi/WiFi networks, optimization cell deployment, relevant modulation schemes, illumination constraints, backhaul device design. The survey also reviews performance recent achievements compared legacy networks with emphasis signal noise interference ratio (SINR), spectral power efficiency, quality service (QoS). addition, user behaviour discussed, considering channel due movement, frequency, load balancing. Furthermore, advances positioning security presented, finally, directions network’s evolution foreseeable future discussed.

Язык: Английский

Процитировано

11

A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment DOI Creative Commons

G. Senthilkumar,

K. N. Madhusudhan,

Y. Jeyasheela

и другие.

Automatika, Год журнала: 2024, Номер 65(3), С. 973 - 982

Опубликована: Март 12, 2024

Large amounts of processing resources are required for the sensed raw big data during generation process. Furthermore, as typically privacy sensitive, blockchain technology can be used to ensure concerns. This study examines a multiuser mobile offloading network that consists cloud server located remotely and an edge node. We formulate problem joint optimization task decision making all users, computation resource allocation among executing applications, radio assignment remote-processing applications. The goal is minimize maximum weighted cost users. When compared other benchmark approaches, simulation results show proposed algorithm achieves optimal in terms both energy consumption delay result collaboration. Finally strategy with 93% efficiency obtained.

Язык: Английский

Процитировано

4