The combination of network function virtualization and software-defined networking allows various network functions to process flows according to their characteristics and requirements.Due to the highly dynamic nature...The combination of network function virtualization and software-defined networking allows various network functions to process flows according to their characteristics and requirements.Due to the highly dynamic nature of the workload,the network infrastructure needs to properly schedule the underlying resources in order to respond to workload changes in a timely manner.However,the existing NFV platform lacks a comprehensive solution for how to scale under workload variation,which may seriously hurt the overall system performance.To improve the scalability of the NFV platform and ensure consistent high performance under dynamic workloads,we propose AdaptNF,a novel NFV platform designed to support a combination of course-grained and fine-grained resource scheduling strategies.To deal with resource imbalance,which is the essential scheduling problem that leads to insufficient NFV performance,AdaptNF adopts a novel algorithm that can efficiently balance the workload among multiple network function instances through stateless flow migration.Our controlled experiments show that the AdaptNF scheme can optimize resource allocation and ensure outstanding performance after scaling.In terms of network throughput and latency,AdaptNF significantly improves the performance of the underlying NFV platform.展开更多
The horizontal migration of proppant was numerically investigated with a two-fluid model, in which the interaction between fracturing fluid and proppant, along with that among proppants was taken into account through ...The horizontal migration of proppant was numerically investigated with a two-fluid model, in which the interaction between fracturing fluid and proppant, along with that among proppants was taken into account through interphase forces. The migration process and the volumetric concentration of the proppant were examined under various conditions, and the averaged volumetric concentration of the proppant was obtained. The present research might be useful in the process design of the hydraulic fracturing in the oilfields.展开更多
The period around Chinese New Year is the most active period of national popula-tion movement in China,providing a natural experiment to examine the character-istics of population flow and interregional connections.Ba...The period around Chinese New Year is the most active period of national popula-tion movement in China,providing a natural experiment to examine the character-istics of population flow and interregional connections.Based on Baidu migration big data from the 2022 and 2023 Spring Festival travel rush,this study analyses over 2.7 billion population flow records from 293 prefecture-level cities and 4 munici-palities over 80 days.From the perspectives of external connections and concentra-tion levels,this study investigates the characteristics and agglomeration features of population mobility at the provincial level.This study reveals that the average daily passenger flow during the 2023 Spring Festival travel rush significantly increased compared to 2022,and the proportion of interprovincial population flow in each province also increased,indicating a rebound in the scale and openness of popula-tion mobility after the COVID-19 pandemic.Guangdong Province is the most active in terms of population mobility,attracting both domestic and out-of-province popu-lations.Provinces with active interprovincial migration are mainly concentrated in the central and eastern regions,with all provinces in the Yangtze River Delta being major employment hubs.Interprovincial migrant populations not only have a large scale and high proportion but also diverse source regions.Central provinces such as Henan,Anhui,and Hunan are major labour exporters.Western,North,and North-east China mainly experience intraprovincial population flow,with interprovincial mobility mostly occurring within provinces in the same region.In contrast,border provinces such as Xinjiang and Tibet have smaller population flows,are less attrac-tive for populations from other provinces,and have lower proportions of local popu-lations leaving,indicating a need for enhanced external connections.展开更多
基金supported by the Guangdong Province Key Area R&D Program under grant No.2018B010113001National Key Research and Development Program of China under Grant No.2018YFB1804704+1 种基金National Natural Science Foundation of China under grant No.61902171the Shenzhen Key Lab of Software Defined Networking under grant No.ZDSYS20140509172959989.
文摘The combination of network function virtualization and software-defined networking allows various network functions to process flows according to their characteristics and requirements.Due to the highly dynamic nature of the workload,the network infrastructure needs to properly schedule the underlying resources in order to respond to workload changes in a timely manner.However,the existing NFV platform lacks a comprehensive solution for how to scale under workload variation,which may seriously hurt the overall system performance.To improve the scalability of the NFV platform and ensure consistent high performance under dynamic workloads,we propose AdaptNF,a novel NFV platform designed to support a combination of course-grained and fine-grained resource scheduling strategies.To deal with resource imbalance,which is the essential scheduling problem that leads to insufficient NFV performance,AdaptNF adopts a novel algorithm that can efficiently balance the workload among multiple network function instances through stateless flow migration.Our controlled experiments show that the AdaptNF scheme can optimize resource allocation and ensure outstanding performance after scaling.In terms of network throughput and latency,AdaptNF significantly improves the performance of the underlying NFV platform.
基金"Eleventh Five-Year Plan" of the Chinese Academy of Sciences (Grant No. KJCX2-YW-L02).
文摘The horizontal migration of proppant was numerically investigated with a two-fluid model, in which the interaction between fracturing fluid and proppant, along with that among proppants was taken into account through interphase forces. The migration process and the volumetric concentration of the proppant were examined under various conditions, and the averaged volumetric concentration of the proppant was obtained. The present research might be useful in the process design of the hydraulic fracturing in the oilfields.
基金Major Program of National Fund of Philosophy and Social Science of China:Research on Precision Management of Public Services Driven by Big Data(Project No.:20&ZD113).
文摘The period around Chinese New Year is the most active period of national popula-tion movement in China,providing a natural experiment to examine the character-istics of population flow and interregional connections.Based on Baidu migration big data from the 2022 and 2023 Spring Festival travel rush,this study analyses over 2.7 billion population flow records from 293 prefecture-level cities and 4 munici-palities over 80 days.From the perspectives of external connections and concentra-tion levels,this study investigates the characteristics and agglomeration features of population mobility at the provincial level.This study reveals that the average daily passenger flow during the 2023 Spring Festival travel rush significantly increased compared to 2022,and the proportion of interprovincial population flow in each province also increased,indicating a rebound in the scale and openness of popula-tion mobility after the COVID-19 pandemic.Guangdong Province is the most active in terms of population mobility,attracting both domestic and out-of-province popu-lations.Provinces with active interprovincial migration are mainly concentrated in the central and eastern regions,with all provinces in the Yangtze River Delta being major employment hubs.Interprovincial migrant populations not only have a large scale and high proportion but also diverse source regions.Central provinces such as Henan,Anhui,and Hunan are major labour exporters.Western,North,and North-east China mainly experience intraprovincial population flow,with interprovincial mobility mostly occurring within provinces in the same region.In contrast,border provinces such as Xinjiang and Tibet have smaller population flows,are less attrac-tive for populations from other provinces,and have lower proportions of local popu-lations leaving,indicating a need for enhanced external connections.
