The convergence of information,communication,and data technologies(ICDT)has been identified as one of the developing trends of the sixth generation(6G)network.Service-based architecture(SBA)as one of the promising inf...The convergence of information,communication,and data technologies(ICDT)has been identified as one of the developing trends of the sixth generation(6G)network.Service-based architecture(SBA)as one of the promising information technology,has been preliminarily introduced into the fifth generation(5G)core network(CN)and successfully commercialized,which verifies its feasibility and effectiveness.However,SBA mainly focuses on the control plane of CN at present and the SBA-CN user plane is being studied by the industry.In addition to further evolving the SBA-CN,SBA radio access network(RAN)should also be considered to enable an end-toend SBA,so as to meet more comprehensive and extreme requirements of future applications,as well as support fast rollout requirements of RAN devices.展开更多
The architecture of edge-cloud cooperation is proposed as a compromising solution that combines the advantage of MEC and central cloud. In this paper we investigated the problem of how to reduce the average delay of M...The architecture of edge-cloud cooperation is proposed as a compromising solution that combines the advantage of MEC and central cloud. In this paper we investigated the problem of how to reduce the average delay of MEC application by collaborative task scheduling. The collaborative task scheduling is modeled as a constrained shortest path problem over an acyclic graph. By characterizing the optimal solution, the constrained optimization problem is simplified according to one-climb theory and enumeration algorithm. Generally, the edge-cloud collaborative task scheduling scheme performance better than independent scheme in reducing average delay. In heavy workload scenario, high blocking probability and retransmission delay at MEC is the key factor for average delay. Hence, more task executed on central cloud with abundant resource is the optimal scheme. Otherwise, transmission delay is inevitable compared with execution delay. MEC configured with higher priority and deployed close to terminals obtain more performance gain.展开更多
This paper focuses on the in-depth study of construction and management of micro-service platform of libraries in universities and colleges under the circumstance of we-media,which mainly elaborates several optimizati...This paper focuses on the in-depth study of construction and management of micro-service platform of libraries in universities and colleges under the circumstance of we-media,which mainly elaborates several optimization measures through the problems existing in the construction of micro-service platform of university libraries,for example,enriching the content of micro-service platform,continuously improving the interactivity in the construction of micro-service platform,increasing publicity and improving the level of technical management,etc.,thereby promoting the smooth construction of micro-service platform of libraries in universities and colleges,constantly improving the service level and ability of libraries in universities and colleges,and obtaining high satisfaction from readers.展开更多
When transnationalized electricity trade is conducted in the context of Global Energy Interconnection(GEI),the transaction settlement usually has a long cycle and high cost and is influenced by the volatility of the e...When transnationalized electricity trade is conducted in the context of Global Energy Interconnection(GEI),the transaction settlement usually has a long cycle and high cost and is influenced by the volatility of the exchange rate.It is thus necessary to overcome the problems associated with the transaction settlement,change in the trading model data,and trading strategy in the transnational transaction deduction.To overcome the problem of trade settlement,this paper proposes the use of a digital currency(energy currency)for the cross-border electricity trading settlement based on the special drawing rights of the International Monetary Fund,which is controlled by the Global Energy Interconnection Development and Cooperation Organization(GEIDCO),to enable the proposed currency to become a stable digital currency.The traders can use the energy coins as a unit of currency for quotes,combined with the data pertaining to the changes in the energy information obtained from the GEI framework and data regarding the optimally extrapolated reference trading indicators.To realize the implementation of the multi-trader concurrent transaction deduction using a microservice architecture,this paper proposes a method of computing the microservice and synchronous interaction among the traders,based on the database table data,because the large amount of computation is required to be accomplished asynchronously with a single process.The key technology behind these cross-national electricity trading simulations can not only enable the GEI transnational traders to performed daily real-time trading,but it also demonstrates the advantages of the rapid settlement of the energy currency and the realization of a stable payment in the global energy interconnection cross-border electricity trading.展开更多
More and more applications are organized in the form of meshed micro-services which can be deployed on the popularcontainer orchestration platform Kubernetes. Designing appropriate container auto-scaling methods for s...More and more applications are organized in the form of meshed micro-services which can be deployed on the popularcontainer orchestration platform Kubernetes. Designing appropriate container auto-scaling methods for such applicationsin Kubernetes is beneficial to reducing costs and guaranteeing Quality of Services (QoS). However, most existing resourceprovisioning methods focus on a service without considering interactions among meshed services. Meanwhile, synchronouscalls among services have different impacts on the processing ability of containers as the proportion of different businesstype’s requests changes which is not considered in existing methods too. Therefore, in this article, an adaptive queuing modeland queuing-length aware Jackson queuing network based method is proposed. It adjusts the processing rate of containersaccording to the ratio of synchronous calls and considers queuing tasks when calculating the impact of bottleneck tiers toothers. Experiments are performed on a real Kubernetes cluster, which illustrate that the proposal obtains the lowest percentageof Service Level Agreement (SLA)-violations (decreasing about 6.33%-12.29%) with about 0.9% additional costscompared with existing methods of Kubernetes and other latest methods.展开更多
基金supported by the National Key R&D Program of China(2020YFB1806800)。
文摘The convergence of information,communication,and data technologies(ICDT)has been identified as one of the developing trends of the sixth generation(6G)network.Service-based architecture(SBA)as one of the promising information technology,has been preliminarily introduced into the fifth generation(5G)core network(CN)and successfully commercialized,which verifies its feasibility and effectiveness.However,SBA mainly focuses on the control plane of CN at present and the SBA-CN user plane is being studied by the industry.In addition to further evolving the SBA-CN,SBA radio access network(RAN)should also be considered to enable an end-toend SBA,so as to meet more comprehensive and extreme requirements of future applications,as well as support fast rollout requirements of RAN devices.
文摘The architecture of edge-cloud cooperation is proposed as a compromising solution that combines the advantage of MEC and central cloud. In this paper we investigated the problem of how to reduce the average delay of MEC application by collaborative task scheduling. The collaborative task scheduling is modeled as a constrained shortest path problem over an acyclic graph. By characterizing the optimal solution, the constrained optimization problem is simplified according to one-climb theory and enumeration algorithm. Generally, the edge-cloud collaborative task scheduling scheme performance better than independent scheme in reducing average delay. In heavy workload scenario, high blocking probability and retransmission delay at MEC is the key factor for average delay. Hence, more task executed on central cloud with abundant resource is the optimal scheme. Otherwise, transmission delay is inevitable compared with execution delay. MEC configured with higher priority and deployed close to terminals obtain more performance gain.
文摘This paper focuses on the in-depth study of construction and management of micro-service platform of libraries in universities and colleges under the circumstance of we-media,which mainly elaborates several optimization measures through the problems existing in the construction of micro-service platform of university libraries,for example,enriching the content of micro-service platform,continuously improving the interactivity in the construction of micro-service platform,increasing publicity and improving the level of technical management,etc.,thereby promoting the smooth construction of micro-service platform of libraries in universities and colleges,constantly improving the service level and ability of libraries in universities and colleges,and obtaining high satisfaction from readers.
基金supported by the State Grid Science and Technology Project (Research on Transnational Energy Interaction Simulation and Deduction Technologies of the Global Energy Interconnection, JS71-17-004)
文摘When transnationalized electricity trade is conducted in the context of Global Energy Interconnection(GEI),the transaction settlement usually has a long cycle and high cost and is influenced by the volatility of the exchange rate.It is thus necessary to overcome the problems associated with the transaction settlement,change in the trading model data,and trading strategy in the transnational transaction deduction.To overcome the problem of trade settlement,this paper proposes the use of a digital currency(energy currency)for the cross-border electricity trading settlement based on the special drawing rights of the International Monetary Fund,which is controlled by the Global Energy Interconnection Development and Cooperation Organization(GEIDCO),to enable the proposed currency to become a stable digital currency.The traders can use the energy coins as a unit of currency for quotes,combined with the data pertaining to the changes in the energy information obtained from the GEI framework and data regarding the optimally extrapolated reference trading indicators.To realize the implementation of the multi-trader concurrent transaction deduction using a microservice architecture,this paper proposes a method of computing the microservice and synchronous interaction among the traders,based on the database table data,because the large amount of computation is required to be accomplished asynchronously with a single process.The key technology behind these cross-national electricity trading simulations can not only enable the GEI transnational traders to performed daily real-time trading,but it also demonstrates the advantages of the rapid settlement of the energy currency and the realization of a stable payment in the global energy interconnection cross-border electricity trading.
基金supported by the National Natural Science Foundation of China(Grant No.61972202,61872186,61973161,61991404)the Fundamental Research Funds for the Central Universities(No.30919011235).
文摘More and more applications are organized in the form of meshed micro-services which can be deployed on the popularcontainer orchestration platform Kubernetes. Designing appropriate container auto-scaling methods for such applicationsin Kubernetes is beneficial to reducing costs and guaranteeing Quality of Services (QoS). However, most existing resourceprovisioning methods focus on a service without considering interactions among meshed services. Meanwhile, synchronouscalls among services have different impacts on the processing ability of containers as the proportion of different businesstype’s requests changes which is not considered in existing methods too. Therefore, in this article, an adaptive queuing modeland queuing-length aware Jackson queuing network based method is proposed. It adjusts the processing rate of containersaccording to the ratio of synchronous calls and considers queuing tasks when calculating the impact of bottleneck tiers toothers. Experiments are performed on a real Kubernetes cluster, which illustrate that the proposal obtains the lowest percentageof Service Level Agreement (SLA)-violations (decreasing about 6.33%-12.29%) with about 0.9% additional costscompared with existing methods of Kubernetes and other latest methods.
