CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications

Zhou, Zhi; Yu, Shuai; Chen, Wuhui; Chen, Xu

doi:10.1109/jiot.2020.2994308

Cited by 54 publications

(8 citation statements)

References 31 publications

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“…The technique also considers scheduling of IoT devices in order to achieve better fairness control. A similar direction of study towards resource provisioning to achieve interoperability in IoT is also presented by Zhou et al [15]. This approach makes use of the Lyapunov optimization scheme with delay awareness.…”

Section: Existing Approachesmentioning

confidence: 91%

ICS: Interoperable Communication System for Inter-Domain Routing in Internet-of-Things

Bhavana¹,

N²

2021

IJACSA

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The Internet-of-Things consists of heterogeneous smart appliances connected by global network with selfconfiguring capabilities requiring interoperable communication schemes while performing inter-domain routing. A review of existing interoperable approaches shows that there is still a large scope of improving IoT interoperability. The proposed system introduces Interoperable Communication System (ICS) by developing a novel inter-domain routing in IoT using two schemes. Preemptive and Non-Preemptive Communication scheme targets mainly emergency-based routing, which demands faster transmission, and dedicated transmission, demanding accountability in communication. A simulation study carried out for the proposed system shows that it offers approximately 90% reduced delay, 57% increased packet delivery ratio, and 98% faster processing time when compared with existing approaches to accomplish interoperability in IoT.

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Section: Existing Approachesmentioning

confidence: 91%

ICS: Interoperable Communication System for Inter-Domain Routing in Internet-of-Things

Bhavana¹,

N²

2021

IJACSA

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“…Zhou et al [21] have proposed a resource provisioning scheme for heterogeneous IoT applications on cloud-edge platforms. The scheme has been aimed at minimizing longterm operational costs while guaranteeing both hard and soft deadlines for heterogeneous IoT applications.…”

Section: A Resource Provisioning In Mecmentioning

confidence: 99%

A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Intelligent Autonomous Transport Systems Over 6G Infrastructure

Ugwuanyi

Iqbal

Dagiuklas

2023

IEEE Trans. Intell. Transport. Syst.

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6G is the future of intelligent connectivity artefacts with Artificial Intelligence (AI) at its backbone. The Multi-Access Edge Computing (MEC) based 6G enabled infrastructure helps in achieving the required zero latency for autonomous Intelligent Transport Systems (ITS) with features of low power consumption, lower end-to-end latency, minimal processing/transmission overheads, higher throughput and reliability. MEC are prone to a deadlock due to the limited amount of available computational resources, resulting in fatal delays in Vehicle-to-Vehicle (V2V), Vehicles to Road Side Unit (RSU) and RSU to ITS communication. The unresolved deadlock may entail higher energy consumption that can adversely affect the Quality of Service (QoS) in terms of safety and reliability with potential threats of causing fatal accidents. Therefore, it is almost imperative to resolve the deadlocks from MEC to comply with the QoS parameters of MEC based autonomous vehicles. The asserted goals can be achieved by employing an intelligent and adaptive deadlock resolution strategy. In this paper, a deadlock-aware, and collaborative edge decision algorithm has been proposed for facilitating the seamless communication of autonomous vehicles over MEC. Additionally, deadlock avoidance and prevention schemes have been evaluated using Bankers resource request avoidance algorithm, wound wait algorithm and wait-die algorithms for resource provisioning in collaborative MEC. Furthermore, the effectiveness of deadlock avoidance and prevention algorithms in real-time scenarios has been analyzed in MEC systems. The metrics used for a comparative analysis in this research include Round-trip time, Queue wait-time and CPU utilization. The proposed algorithm shows promising results when compared with prevalent techniques.

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“…Yin et al study edge server placement to minimize the network resource usage based on statistical computing demands [27]. There are limited works on long-term resource reservation in multi-tier computing [8], [28]. Considering edge and cloud computing, Zhou et al propose a computing resource reservation approach to minimize network resource usage while satisfying different delay requirements of two applications [28].…”

Section: Related Workmentioning

confidence: 99%

“…There are limited works on long-term resource reservation in multi-tier computing [8], [28]. Considering edge and cloud computing, Zhou et al propose a computing resource reservation approach to minimize network resource usage while satisfying different delay requirements of two applications [28]. For servers located at different tiers of spaceground integrated networks, joint communication and computing resource reservation is studied to minimize the long-term cost of delay requirement violation and network reconfiguration [8].…”

Section: Related Workmentioning

confidence: 99%

Digital Twin-Empowered Network Planning for Multi-Tier Computing

Zhou,

Gao,

et al. 2022

Preprint

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In this paper, we design a resource management scheme to support stateful applications, which will be prevalent in 6G networks. Different from stateless applications, stateful applications require context data while executing computing tasks from user terminals (UTs). Using a multi-tier computing paradigm with servers deployed at the core network, gateways, and base stations to support stateful applications, we aim to optimize long-term resource reservation by jointly minimizing the usage of computing, storage, and communication resources and the cost from reconfiguring resource reservation. The coupling among different resources and the impact of UT mobility create challenges in resource management. To address the challenges, we develop digital twin (DT) empowered network planning with two elements, i.e., multiresource reservation and resource reservation reconfiguration. First, DTs are designed for collecting UT status data, based on which UTs are grouped according to their mobility patterns. Second, an algorithm is proposed to customize resource reservation for different groups to satisfy their different resource demands. Last, a Meta-learning-based approach is developed to reconfigure resource reservation for balancing the network resource usage and the reconfiguration cost. Simulation results demonstrate that the proposed DT-empowered network planning outperforms benchmark frameworks by using less resources and incurring lower reconfiguration costs.

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CE-IoT: Cost-Effective Cloud-Edge Resource Provisioning for Heterogeneous IoT Applications

Cited by 54 publications

References 31 publications

ICS: Interoperable Communication System for Inter-Domain Routing in Internet-of-Things

ICS: Interoperable Communication System for Inter-Domain Routing in Internet-of-Things

A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Intelligent Autonomous Transport Systems Over 6G Infrastructure

Digital Twin-Empowered Network Planning for Multi-Tier Computing

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