HSOP: A Hybrid Service Orchestration Platform for Internet-Telephony Networks

Cheng, Bo; Hou, Shoulu; Wang, Ming; Zhao, Shuai; Chen, Junliang

doi:10.1109/tnet.2020.2981477

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…Application orchestration service can automate the deployment, management and scheduling of applications by defining and managing the relationships and dependencies between different application components. This involves some Service orchestration technologies such as Docker Compose, K8S Service and Deployment, etc [15].…”

Section: Service Orchestration Technologymentioning

confidence: 99%

Research and Implementation of Container Based Application Orchestration Service Technology

Liu,

Wang,

Zhao

et al. 2024

J. Phys.: Conf. Ser.

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With the rapid development of cloud computing technology, Kubernetes(K8S), as the main orchestration tool for cloud native applications, has become the preferred choice for enterprises and developers. This article is based on container based application orchestration service technology. Through a set of templates containing cloud resource descriptions, it quickly completes functions such as application creation and configuration, application batch cloning, and application multi environment deployment. It simplifies and automates the lifecycle management capabilities required for cloud applications, such as resource planning, application design, deployment, status monitoring, and scaling. Users can more conveniently complete infrastructure management and operation and maintenance work, In order to focus more on innovation and research and development, and improve work efficiency. The actual application effect of the technology used in this article depends to a certain extent on the ability level of basic service resources, and manual template creation is required for the first use. In production use, a certain professional ability is required to create a good application layout template, adjust and optimize resources according to the production environment, in order to significantly improve the effectiveness and efficiency of practical applications.

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Section: Service Orchestration Technologymentioning

confidence: 99%

Research and Implementation of Container Based Application Orchestration Service Technology

Liu,

Wang,

Zhao

et al. 2024

J. Phys.: Conf. Ser.

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“…In [11], You et al proposed an intelligent service orchestration architecture for the integration of multi-source data and multi-mode data, which is utilized to coordinate ubiquitous objects, create interconnected data, and realize general intelligence service. In [12], Cheng et al proposed a hybrid service orchestration platform for Internet telephone network to meet the asynchronous dynamic interaction between mixed services and achieve the purpose of rapid orchestration. In [13], Castellano et al proposed a distributed service orchestration algorithm for the heterogeneity of applications, which solves the problem of optimal sharing of resource pools among multiple service data objects.…”

Section: Related Workmentioning

confidence: 99%

“…NFV nodes ∀n ∈ N j calculate the preference values toward to VNFs based on (12), and obtain the preference lists. Define Ω as the set of j-th VNF.…”

mentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Chen

Zhou

et al. 2021

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The power distribution internet of things (PD-IoT) has the complex network architecture, various emerging services, and the enormous number of terminal devices, which poses rigid requirements on substrate network infrastructure. However, the traditional PD-IoT has the characteristics of single network function, management and maintenance difficulties, and poor service flexibility, which makes it hard to meet the differentiated quality of service (QoS) requirements of different services. In this paper, we propose the software-defined networking (SDN)enabled PD-IoT framework to improve network compatibility and flexibility, and investigate the virtual network function (VNF) embedding problem of service orchestration in PD-IoT. To solve the preference conflicts among different VNFs towards the network function node (NFV) and provide differentiated service for services in various priorities, a matching-based priorityaware VNF embedding (MPVE) algorithm is proposed to reduce energy consumption while minimizing the total task processing delay. Simulation results demonstrate that MPVE significantly outperforms existing matching algorithm and random matching algorithm in terms of delay and energy consumption while ensuring the task processing requirements of high-priority services.

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