Recent advances in cloud data centers toward fog data centers

Shojafar, Mohammad; Pooranian, Zahra; Sookhak, Mehdi; Buyya, Rajkumar

doi:10.1002/cpe.5164

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…The ability to add or remove a service becomes easier along the processing pipeline, as per-user services can be created for mobile data monetisation [42]. In terms of implementation requirements, implementing a service chain that contains a network function such as NAT, for example, requires that the function is placed on the edge sites, which is closer to the users requesting the service [43]. Another useful requirement when creating a service chain in a mobile core environment is the consideration of the SLA agreement between multiple vendors.…”

Section: The Gi-lan Mobile Core Networkmentioning

confidence: 99%

“…Network operators make use of vCPEs to easily create a chain of services that meet user requirements [44]. Users in these environments are more likely to make use of webbased applications that use HTTP as the de facto protocol [43]. One of the requirements for such deployments is to create a service chain that prioritises security [45].…”

Section: Residential and Consumer Servicesmentioning

confidence: 99%

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Network Function Virtualization and Service Function Chaining Frameworks: A Comprehensive Review of Requirements, Objectives, Implementations, and Open Research Challenges

Adoga

Pezaros

2022

Future Internet

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Network slicing has become a fundamental property for next-generation networks, especially because an inherent part of 5G standardisation is the ability for service providers to migrate some or all of their network services to a virtual network infrastructure, thereby reducing both capital and operational costs. With network function virtualisation (NFV), network functions (NFs) such as firewalls, traffic load balancers, content filters, and intrusion detection systems (IDS) are either instantiated on virtual machines (VMs) or lightweight containers, often chained together to create a service function chain (SFC). In this work, we review the state-of-the-art NFV and SFC implementation frameworks and present a taxonomy of the current proposals. Our taxonomy comprises three major categories based on the primary objectives of each of the surveyed frameworks: (1) resource allocation and service orchestration, (2) performance tuning, and (3) resilience and fault recovery. We also identify some key open research challenges that require further exploration by the research community to achieve scalable, resilient, and high-performance NFV/SFC deployments in next-generation networks.

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Section: The Gi-lan Mobile Core Networkmentioning

confidence: 99%

Section: Residential and Consumer Servicesmentioning

confidence: 99%

Network Function Virtualization and Service Function Chaining Frameworks: A Comprehensive Review of Requirements, Objectives, Implementations, and Open Research Challenges

Adoga

Pezaros

2022

Future Internet

View full text Add to dashboard Cite

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“…14 (4) Ultra-Wideband (UWB): UWB is a wireless system which requires small amounts of energy [67] and offers large data rates [48]. These technologies may be very useful for short distance wireless communication when implemented inside an IoT-based network.…”

Section: Sensing Layer Hardware Componentsmentioning

confidence: 99%

IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing

Dhillon

Singh

Vohra

et al. 2020

Enterprise Information Systems

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This paper proposes IoT-based an enterprise health information system called IoTPulse to predict alcohol addiction providing real-time data using machine-learning in fog computing environment. We used data from 300 alcohol addicts from Punjab (India) as a case study to train machine-learning models. The performance of IoTPulse is compared against existing work using various parameters including accuracy, sensitivity, specificity and precision which shows improvement of 7%, 4%, 12% and 12% respectively. Finally, IoTPulse is validated in FogBus-based real fog environment using QoS parameters including latency, network bandwidth, energy and response time which improves performance by 19.56%, 18.36%, 19.53% and 21.56% respectively.

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“…So, cloud-edge computing can be increased flexibility of service availability and interoperability on the 5G platform in the IoT environment [4], [5]. One of the main challenges in cloud-edge computing is service composition [6], [7]. The service composition method has an important role in decreasing the price and the risk of providing new web service applications in large or small scale IoT environments [8], [9].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Service Selection and Composition Model for Cloud-Edge Computing in the Internet of Things

et al. 2020

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Cloud-edge computing is a hybrid model of computing where resources and services provided via the Internet of Things (IoT) between large-scale and long-term data informs of the cloud layer and smallscale and short-term data as edge layer. The main challenge of the cloud service providers is to select the optimal candidate services that are doing the same work but offer different Quality of Service (QoS) values in IoT applications. Service composition in cloud-edge computing is an NP-hard problem; therefore, many meta-heuristic methods introduced to solve this issue. Also, the correctness of meta-heuristic and machine learning algorithms for evaluating service composition problem should be proven using formal methods to guarantee functional and non-functional specifications. In this paper, a hybrid Artificial Neural Networkbased Particle Swarm Optimization (ANN-PSO) Algorithm presented to enhance the QoS factors in cloudedge computing. To illustrate the correctness and improve the reachability rate of candidate composited services and QoS factors for the proposed hybrid algorithm, we present a formal verification method based on a labeled transition system to check some critical Linear Temporal Logics (LTL) formulas. The experimental results illustrated the high performance of the proposed model in terms of minimum verification time, memory consumption, and guaranteeing critical specifications rules as the Linear Temporal Logic (LTL) formulas. Also, we observed that the proposed model has optimal response time, availability, and price with maximum fitness function value than other service composition algorithms.INDEX TERMS Cloud-edge computing, Internet of Things, service composition, formal verification, quality of service, artificial neural network, and particle swarm optimization.

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Recent advances in cloud data centers toward fog data centers

Cited by 5 publications

References 9 publications

Network Function Virtualization and Service Function Chaining Frameworks: A Comprehensive Review of Requirements, Objectives, Implementations, and Open Research Challenges

Network Function Virtualization and Service Function Chaining Frameworks: A Comprehensive Review of Requirements, Objectives, Implementations, and Open Research Challenges

IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing

A Hybrid Service Selection and Composition Model for Cloud-Edge Computing in the Internet of Things

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