Service chain embedding with maximum flow in software defined network and application to the next-generation cellular network architecture

التفاصيل البيبلوغرافية
العنوان: Service chain embedding with maximum flow in software defined network and application to the next-generation cellular network architecture
المؤلفون: De-Nian Yang, Hong-Yu Kang, Ming-Jer Tsai, Shan-Hsiang Shen, Wen-Tsuen Chen, Jian-Jhih Kuo
المصدر: INFOCOM
بيانات النشر: IEEE, 2017.
سنة النشر: 2017
مصطلحات موضوعية: business.industry, Computer science, Distributed computing, 05 social sciences, Maximum flow problem, Approximation algorithm, 050801 communication & media studies, 020206 networking & telecommunications, 02 engineering and technology, 0508 media and communications, Software, Server, 0202 electrical engineering, electronic engineering, information engineering, Cellular network, Embedding, business, Software-defined networking, Computer network
الوصف: With software-defined network (SDN) and network function virtualization (NFV) techniques, we can embed the service chain consisting of a sequence of virtualized network functions (VNFs), i.e., we can determine the flow path and deploy the VNFs contained in the service chain at any place on the path. In the literature, the methods of service chain embedding bound the number of VNFs at a node, whereas the link capacities are disregarded and the amount of flows is not considered, which could cause serious congestion. In addition, according to our experiment, the process overhead on a computation node is linear to the total amount of flows processed. In this paper, we propose a method of service chain embedding to maximize the total amount of flows while bounding the process overhead of the flows on a node by its computation capability and the total amount of flows on an link by its bandwidth capacity. To our knowledge, our method is the first approximation algorithm of service chain embedding with considering flow in the literature. Simulations show our algorithm has good performance in terms of the total amount of flows.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a97adacac37569756eaaba97eea8483c
https://doi.org/10.1109/infocom.2017.8057229
رقم الأكسشن: edsair.doi...........a97adacac37569756eaaba97eea8483c
قاعدة البيانات: OpenAIRE