relation classification plays an important role in the field of natural language processing (NLP). Previous research on relation classification has verified the effectiveness of using convolutional neural network (CNN...
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The QoS-aware traffic classification techniques of SdN networks is the basis for network to provide fine-grained QoS traffic engineering. In this paper, we propose an architecture which combines deep packet detection ...
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With the popularization of the Internet, the production and living of people and even the security development of the country have been more and more dependent on cyberspace, the importance of cyberspace has become in...
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In order to explore the effects of super-fast freezing (SFF) on beef quality, conventional chilling (CC, 0 ± 2 °C) and very fast chilling (VFC, hot-boned beef loins chilled at −30 °C...
In order to explore the effects of super-fast freezing (SFF) on beef quality, conventional chilling (CC, 0 ± 2 °C) and very fast chilling (VFC, hot-boned beef loins chilled at −30 °C and then stored at 0 ± 2 °C to bring the temperature down to 0 °C within 5 h post-mortem ) were used as controls to investigate the effects of three SFF treatments (−30 °C until the core temperature decreased to −3 °C (SFF–I), −7 °C (SFF–II) and −10 °C (SFF–III), and then stored at 0 ± 2 °C until 24 h post-mortem ) on beef tenderness, meat color, water holding capacity, and otherrelated indicators. The results showed that both SFF and VFC improved the tenderness of beef at the early stage of storage compared with CC, and of these SFF–II and SFF–III were the most effective. The SFF has the potential to reduce the cooking loss but increases the purge loss of beef. In addition, SFF has a negative effect on the meat color, but the a * value is still within the acceptable range of consumers. After being treated by SFF, the rate of beef glycolysis was delayed post-mortem . In addition, SFF treatment did not cause a large degree of shortening of sarcomere, but disrupted the muscle fiber structure, contributing to the improvement of muscle tenderness. The results indicate that pre-rigor beef muscles can be deeply frozen, which will not cause obvious shortening with proper freezing and thawing procedures.
Extracellular polymeric substances (EPSs) recycled from excess sludge in wastewater treatment plant are biological macromolecules and high value-added materials, because of containing abundant characteristic functiona...
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Current SdN controllers suffer from a series of potential attacks. For example, malicious flow rules may lead to systemdisorder by introducing unexpected flow entries. In this paper, we propose Mcad-SA, an aware deci...
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Current SdN controllers suffer from a series of potential attacks. For example, malicious flow rules may lead to systemdisorder by introducing unexpected flow entries. In this paper, we propose Mcad-SA, an aware decision-making security architecture with multiple controllers, which could coordinate heterogeneous controllers internally as a "big" controller. This architecture includes an additional plane, the scheduling plane, which consists of transponder, sensor, decider and scheduler. Meanwhile it achieves the functions of communicating, supervising and scheduling between data and control plane. In this framework, we adopt the vote results from the majority of controllers to determine valid flow rules distributed to switches. Besides, an aware dynamic scheduling(AdS) mechanism is devised in scheduler to intensify security of Mcad-SA further. Combined with perception, AdS takes advantage of heterogeneity andredundancy of controllers to enable the control plane operate in a dynamic, reliable and unsteady state, which results in significant difficulty of probing systems and executing attacks. Simulation results demonstrate the proposed methods indicate better security resilience over traditional architectures as they have lower failure probability when facing attacks.
Improving the performance for VNF (Virtualized Network Function) by hardware acceleration is a hot research topic in SdN/NFV architecture. After introducing the acceleration resource for VNF, how to implement uniform ...
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*** networking(SdN) enables *** companies to participate in the network function innovations. A number of instances for one network function will inevitably *** in the network. Although some orchestration architecture...
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*** networking(SdN) enables *** companies to participate in the network function innovations. A number of instances for one network function will inevitably *** in the network. Although some orchestration architecture has been proposed to chain network functions, rare works are focused on how to optimize this process. In this paper, we propose an optimized model for network function orchestration, function combination model(FCM). Our main contributions are as following. First, network functions are featured with a new abstraction, and are open to external providers. And FCM identifies network functions using unique type, and organizes their instances distributed over the network with the appropriate way. Second, with the specializeddemands, we can combine function instances under the global network views, and formulate it into the problem of Boolean linear program(BLP). A simulated annealing algorithm is designed to approach optimal solution for this BLP. Finally, the numerical experiment demonstrates that our model can create outstanding composite schemas efficiently.
dynamic Controller Provisioning Problem(dCPP) is a key problem for scalable SdN. Previously, the solution to this problem focused on adapting the number of controllers and their locations with changing network conditi...
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dynamic Controller Provisioning Problem(dCPP) is a key problem for scalable SdN. Previously, the solution to this problem focused on adapting the number of controllers and their locations with changing network conditions, but ignored balancing control loads via switch migration. In this paper, we study a scalable control mechanism to decide which switch and where it should be migrated for more balanced control plane, and we define it as Switch Migration Problem(SMP). The main contributions of this paper are as follows. First, we define a SdN model to describe the relation between controllers and switches from the view of loads. Based on this model, we form SMP as a Network Utility Maximization(NUM) problem with the objective of serving more requests under available control resources. Second, we design a synthesizing distributed algorithm for SMP--- distributed Hopping Algorithm(dHA), by approximating our optimal objective via Log-Sum-Exp function. In dHA, individual controller performs algorithmic procedure independently. With the solution space F, we prove that the optimal gap caused by approximation is at most 1/βlog|F|, anddHA procedure is equal to implementation of a time-reversible Markov Chain process. Finally, the results are corroborated by several numerical simulations.
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