The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it...The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it is difficult to predict the congestion state of the link-end accurately at the source.In this paper,we presented an improved NUMFabric algorithm for calculating the overall congestion price.In the proposed scheme,the whole network structure had been obtained by the central control server in the Software Defined Network,and a kind of dual-hierarchy algorithm for calculating overall network congestion price had been demonstrated.In this scheme,the first hierarchy algorithm was set up in a central control server like Opendaylight and the guiding parameter B is obtained based on the intelligent data of global link state information.Based on the historical data,the congestion state of the network and the guiding parameter B is accurately predicted by the machine learning algorithm.The second hierarchy algorithm was installed in the Openflow link and the link price was calculated based on guiding parameter B given by the first algorithm.We evaluate this evolved NUMFabric algorithm in NS3,which demonstrated that the proposed NUMFabric algorithm could efficiently increase the link bandwidth utilization of cloud computing IoT datacenters.展开更多
The aim of this study was to evaluate the anti-inflammatory and hepatoprotective effects of the total flavonoid C-glycosides isolated from Abrus mollis extracts(AME). In the anti-inflammatory tests, xylene-induced ear...The aim of this study was to evaluate the anti-inflammatory and hepatoprotective effects of the total flavonoid C-glycosides isolated from Abrus mollis extracts(AME). In the anti-inflammatory tests, xylene-induced ear edema model in mice and carrageenan-induced paw edema model in rats were applied. The hepatoprotective effects of AME were evaluated with various in vivo models of acute and chronic liver injury, including carbon tetrachloride(CCl4)-induced hepatitis in mice, D-galactosamine(D-GalN)-induced hepatitis in rats, as well as CCl4-induced hepatic fibrosis in rats. In the acute inflammation experiment, AME significantly suppressed xylene-induced ear edema and carrageenan-induced paw edema, respectively. In the acute hepatitis tests, AME significantly attenuated the excessive release of ALT and AST induced by CCl4 and D-GalN. In CCl4-induced hepatic fibrosis model, AME alleviated liver injury induced by CCl4 shown by histopathological sections of livers and improved liver function as indicated by decreased liver index, serum ALT, AST, TBIL, and ALP levels and hydroxyproline contents in liver tissues, and increased serum ALB and GLU levels. These results indicated that AME possesses potent anti-inflammatory activity in acute inflammation models and hepatoprotective activity in both acute and chronic liver injury models. In conclusion, AME is a potential anti-inflammatory and hepatoprotective agent and a viable candidate for treating inflammation, hepatitis, and hepatic fibrosis.展开更多
基金supported by National Key R&D Program of China—Industrial Internet Application Demonstration-Sub-topic Intelligent Network Operation and Security Protection(2018YFB1802400).
文摘The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information.However,it is difficult to predict the congestion state of the link-end accurately at the source.In this paper,we presented an improved NUMFabric algorithm for calculating the overall congestion price.In the proposed scheme,the whole network structure had been obtained by the central control server in the Software Defined Network,and a kind of dual-hierarchy algorithm for calculating overall network congestion price had been demonstrated.In this scheme,the first hierarchy algorithm was set up in a central control server like Opendaylight and the guiding parameter B is obtained based on the intelligent data of global link state information.Based on the historical data,the congestion state of the network and the guiding parameter B is accurately predicted by the machine learning algorithm.The second hierarchy algorithm was installed in the Openflow link and the link price was calculated based on guiding parameter B given by the first algorithm.We evaluate this evolved NUMFabric algorithm in NS3,which demonstrated that the proposed NUMFabric algorithm could efficiently increase the link bandwidth utilization of cloud computing IoT datacenters.
基金supported by Mega-projects of Science Research for the 11th Five-Year Plan(No.2009ZX 09103-315)12th Five-Year Plan(No.2013ZX09301-303-003)+1 种基金the 111 Project(No.111-2-07)2011’Program for Excellent Scientific and Technological Innovation Team of Jiangsu Higher Education
文摘The aim of this study was to evaluate the anti-inflammatory and hepatoprotective effects of the total flavonoid C-glycosides isolated from Abrus mollis extracts(AME). In the anti-inflammatory tests, xylene-induced ear edema model in mice and carrageenan-induced paw edema model in rats were applied. The hepatoprotective effects of AME were evaluated with various in vivo models of acute and chronic liver injury, including carbon tetrachloride(CCl4)-induced hepatitis in mice, D-galactosamine(D-GalN)-induced hepatitis in rats, as well as CCl4-induced hepatic fibrosis in rats. In the acute inflammation experiment, AME significantly suppressed xylene-induced ear edema and carrageenan-induced paw edema, respectively. In the acute hepatitis tests, AME significantly attenuated the excessive release of ALT and AST induced by CCl4 and D-GalN. In CCl4-induced hepatic fibrosis model, AME alleviated liver injury induced by CCl4 shown by histopathological sections of livers and improved liver function as indicated by decreased liver index, serum ALT, AST, TBIL, and ALP levels and hydroxyproline contents in liver tissues, and increased serum ALB and GLU levels. These results indicated that AME possesses potent anti-inflammatory activity in acute inflammation models and hepatoprotective activity in both acute and chronic liver injury models. In conclusion, AME is a potential anti-inflammatory and hepatoprotective agent and a viable candidate for treating inflammation, hepatitis, and hepatic fibrosis.
