21:I[432972,["/_next/static/chunks/bb923814e1f4d2e9.js","/_next/static/chunks/dd3ee9f5b7716ca6.js","/_next/static/chunks/4204a0ae82542ca8.js","/_next/static/chunks/30036bedc5269936.js","/_next/static/chunks/6e1aa89a642f40be.js","/_next/static/chunks/cd5e572bc3e4eb92.js","/_next/static/chunks/8ffd0b71567920d8.js","/_next/static/chunks/67ea6dfd21f16c5f.js","/_next/static/chunks/24eb4379f68013fd.js","/_next/static/chunks/b8cd775ffdf935bd.js","/_next/static/chunks/983103cd9eb7b428.js","/_next/static/chunks/d4ac9dcf27f6ff52.js","/_next/static/chunks/294b9525248c8e5f.js"],"default"] 22:T54f,Software defined networking (SDN) [1] works as a centralized control model. However, the Internet is managed by owners of different domains, which makes the centralized control does not work for inter-domain Controlling the flow of data packets in a global network requires each NOS (Network Operating System) to have a relative global network view to determine the next NOS hop. Hence, NOSes are required to exchange reachability and topology information between the inter-domain networks. How such information is efficiently exchanged has not been well addressed so far. Thus, this demo proposes a West-East Bridge (WE-Bridge) mechanism for different SDN administrative domains to peer and cooperate with each other: (1) we design a peer-to-peer based high performance network information exchange mechanism. We define what network information should be exchanged and how such information is efficiently exchanged among inter-domain SDN peers. (2) To achieve a resilient peer-to-peer control plane of heterogeneous NOSes, we propose a `maximum connection degree' based connection algorithm [4]. (3) Considering the privacy, we propose to virtualize the SDN network view, and only exchange the virtualized network view to construct the relative global network view. Applications above WE-Bridge carry out the route translation, calculation, and installation.23:T4af,This study aimed to evaluate the effect of fermented wheat bran dietary fiber (FWBDF) on the rheological properties of the dough and the quality of noodles and to compare it with the effect of the unfermented WBDF (UWBDF). WBDF was fermented with Auricularia polytricha. The results showed that adding UWBDF/FWBDF increased the storage modulus G' and loss modulus G" of the dough, converted α-helices and β-turns into β-sheets and random coils, respectively, inhibited water flow, increased cooking loss, and decreased the maximum resistance in the noodles. The formed gluten network had a more random and rigid structure, resulting in the deterioration of the quality of noodles. Furthermore, the number of α-helices and the peak proportions of weakly bound water A ₂₂ increased but the number of β-sheets and cooking loss decreased in the FWBDF group compared with the UWBDF group. FWBDF (≤4%) improved the hardness of noodles, while UWBDF decreased it. These changes indicated that fermentation could reduce the destructive effects of WBDF on the quality of noodles, providing a new perspective on balancing dietary fiber-rich and high-quality foods.24:T44f,Software Defined Networking (SDN) separates the tightly coupled network control and data forwarding functions. During the past years, it has been applied in all kinds of intra-domain networks, such as enterprise networks, data centers and content provider networks. However, it is a big challenge to extend SDN to inter-domain networks. In this paper, we extend the advantage of SDN to an inter-domain network federation to improve the Internet routing flexibility. To achieve this goal, we propose a Multi-dimension Link Vector network view exchange mechanism (MLV) to exchange the fine-grained inter-domain routing information and enable programmable inter-domain routing. MLV can support flexible inter-domain routing control by exchanging multiple fields of the IP header. Based on MLV, innovations in inter-domain routing can be deployed as applications over SDN controllers. In order to validate the MLV design, we analyzed

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	126
2	Cloud Computing	3	3	126
3	Edge Computing	3	3	126
4	Computer Engineering	2	2	96
5	Computer Science	1	1	17

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