Multilevel cloud based Tactile Internet system

Ateya, Abdelhamied A.; Vybornova, Anastasia; Kirichek, Ruslan; Koucheryavy, Andrey

doi:10.23919/icact.2017.7890067

Cited by 55 publications

(30 citation statements)

References 8 publications

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“…Many researchers use the term cloudlet to refer to any secondary, small and limited-capability cloud units [30]. There are many other forms of the edge cloud units that include Fog nodes and the micro-cloud units and other forms [15,31].…”

Section: Background and Related Workmentioning

confidence: 99%

“…This introduces a way of moving from huge centralized data centres to the distributed cloud units with limited capabilities [14]. Deploying edge computing for IoT networks achieves various benefits such as reducing the communication latency, providing a path for data offloading, increasing the spectral efficiency and the introduction of new services [15,16].…”

Section: Introductionmentioning

confidence: 99%

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Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain

Muthanna

Ateya

Khakimov

et al. 2019

JSAN

Self Cite

117

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Designing Internet of Things (IoT) applications faces many challenges including security, massive traffic, high availability, high reliability and energy constraints. Recent distributed computing paradigms, such as Fog and multi-access edge computing (MEC), software-defined networking (SDN), network virtualization and blockchain can be exploited in IoT networks, either combined or individually, to overcome the aforementioned challenges while maintaining system performance. In this paper, we present a framework for IoT that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications. The SDN network is equipped with distributed controllers and distributed resource constrained OpenFlow switches. Blockchain is used to ensure decentralization in a trustful manner. Additionally, a data offloading algorithm is developed to allocate various processing and computing tasks to the OpenFlow switches based on their current workload. Moreover, a traffic model is proposed to model and analyze the traffic indifferent parts of the network. The proposed algorithm is evaluated in simulation and in a testbed. Experimental results show that the proposed framework achieves higher efficiency in terms of latency and resource utilization.

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Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain

Muthanna

Ateya

Khakimov

et al. 2019

JSAN

Self Cite

117

View full text Add to dashboard Cite

show abstract

“…The MEC is playing a very important role in the reduction of low latency, and it is designed for this purpose. For example, in Ateya et al (2017) authors proposed multilevel hierarchical of cloud units to reduce the round-trip delay in the mobile network especially the LTE network by introducing a new level of cloud units with higher capabilities in the way between core network and eNBs so as the cloud unit (Microcloud) reduces the communication latency. The authors used the concept of MEC to bring the processing function in the vicinity of users by introducing small micro and Minicloud in each level of the network in the way to the core network which in its turns can include the functionality of the cloud.…”

Section: Mecmentioning

confidence: 99%

“…Specifically, the new applications supported by the TI are industry X.0, Automotive, E-healthcare that includes a wide range of use cases and may require or not low latency depending on whether if they are time critical or not Zhang et al (2018). Enormously low latency together with a high level of availability, reliability, and security are associated and provided in TI Amodu and Othman (2018), Ateya et al (2017).…”

Section: Introductionmentioning

confidence: 99%

Issues and Challenges Facing Low Latency in Tactile Internet

Yahiya

Kirci

2019

UKH J SCI ENG

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Tactile Internet is considered as the next step towards a revolutionary impact on the society, this is due to the introduction of different types of applications mainly the haptic ones that require strict Quality of Service guarantee especially in terms of latency. This would be a major challenge towards the design of new communication technologies and protocols in order to provide ultra-low latency. This article discusses the diverse technologies, communication protocols, and the necessary infrastructure to provide low latency based principally on the fifth generation (5G) of mobile network that is considered as the key enablers of the Tactile Internet. Furthermore, current research direction along with future challenges and open issues are discussed extensively.

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“…In [5] we suggest a multi-level cloud based Tactile Internet system. The system consists of three cloud levels: Micro-cloud, Mini-cloud and Core network cloud level as shown in Fig.…”

mentioning

confidence: 99%

System Model for Multi-level Cloud Based Tactile Internet System

Ateya¹,

Vybornova²,

Samouylov³

et al. 2017

Lecture Notes in Computer Science

Self Cite

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With the realization of 5G system which will become a fact by 2020, there is a great demand to achieve the Tactile Internet system. Tactile Internet system should handle a 1ms communication latency, which is the main problem of the system realization. One of the proposed system structures to achieve such latency is to build the system based on the multilevel cloud architecture and the 5G network structure. In this work, we build a system model for a multi-level cloud based Tactile Internet system. The model is used to find the system latency and evaluate the system performance. The proposed system is simulated and the results show that the system will achieve a lower latency than other known architectures. The proposed model also reduces the overall network congestion. It can be used to optimize the number of clouds in the system to achieve the best system performance.

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Multilevel cloud based Tactile Internet system

Cited by 55 publications

References 8 publications

Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain

Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain

Issues and Challenges Facing Low Latency in Tactile Internet

System Model for Multi-level Cloud Based Tactile Internet System

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