The interactive task allocation process between workflow management system（WFMS） and resources in real bussiness is analyzed. A series of fundamental workflow resource allocation patterns （WRAPs） are identified. T...The interactive task allocation process between workflow management system（WFMS） and resources in real bussiness is analyzed. A series of fundamental workflow resource allocation patterns （WRAPs） are identified. These patterns provide the basis for the design of the more adaptive workflow system. A WRAP framework is proposed to provide a referenced classification system for further pattern extensions.展开更多
In modern wireless communication network, the increased consumer demands for multi-type applications and high quality services have become a prominent trend, and put considerable pressure on the wireless network. In t...In modern wireless communication network, the increased consumer demands for multi-type applications and high quality services have become a prominent trend, and put considerable pressure on the wireless network. In that case, the Quality of Experience(Qo E) has received much attention and has become a key performance measurement for the application and service. In order to meet the users' expectations, the management of the resource is crucial in wireless network, especially the Qo E based resource allocation. One of the effective way for resource allocation management is accurate application identification. In this paper, we propose a novel deep learning based method for application identification. We first analyse the requirement of managing Qo E for wireless communication, and review the limitation of the traditional identification methods. After that, a deep learning based method is proposed for automatically extracting the features and identifying the type of application. The proposed method is evaluated by using the practical wireless traffic data, and the experiments verify the effectiveness of our method.展开更多
The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy R...The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy Resource Management(SDHRM)algorithm exploiting the resources dynamically and intelligently is proposed with the consideration of tidal traffic.In network-level resource allocation,the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility.In connection-level network selection,based on the above resource allocation and the pre-defined QoS requirement,three typical network selection policies are provided to assign traffic flow to the most appropriate network.Furthermore,based on multidimensional Markov model,we analyse the performance of SDHRM in HWNs with heavy tailed traffic.Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can improve the resource utilization.展开更多
The analytical method of total resource reallocation effect is an evolution of the analytical method of the factors of economic growth. Since the marketization reform in China in 1978, market mechanism has played a mo...The analytical method of total resource reallocation effect is an evolution of the analytical method of the factors of economic growth. Since the marketization reform in China in 1978, market mechanism has played a more and more important role in resource allocation, and Chinese economy has developed greatly, which is called "the Chinese Miracle". This paper analyzes the economic growth in China from 1978 to 2004 with the analytical method of total resource reallocation effect. The result shows that the annual growth rate of total resource reallocation effect was 0.2%, which was 5.1% of the comprehensive productivity and 0.21% of the gross output growth, i.e. the total resource allocation played a weak role in the economic growth in China. When analyzing it in Chenery's multinational model, we find that Chinese comprehensive productivity growth rate was higher than that in all the income phases of the model, but the total resource allocation effect was obviously lower than that in all the income phases of the model. It indicates that the total resource allocation in China has a great potential, and that to accelerate marketization reform is one of the important issues for Chinese economic development.展开更多
The distribution of resources is the basis of safety management.Based on thesystematic analysis of a resource distribution system affecting the level of safety,the bestdistribution proportion between safety activities...The distribution of resources is the basis of safety management.Based on thesystematic analysis of a resource distribution system affecting the level of safety,the bestdistribution proportion between safety activities and production and best resources distributionproportion among the various links of security activities are presented.Moreover,itis stated that the distribution of resources law needs to be researched deeply in practicalwork to achieve optimization of safety management practice.展开更多
Resource reservation is an effective measure to ensure end-to-end quality of service （QoS）, however, the burstyness of the traffic makes the reservation idle some time, and forms a waste of re- sources. Based on the...Resource reservation is an effective measure to ensure end-to-end quality of service （QoS）, however, the burstyness of the traffic makes the reservation idle some time, and forms a waste of re- sources. Based on the analysis of active queue management （AQM） of DiffServ network, we propose a resource management scheme, which allows borrowing resources from unused reservation, accord- ing to the characteristics and advantages of cognitive networks. First, some nodes reserve certain proportion capacity for some special services （for instance, some services pay additional money） to guarantee the priority of these applications. Then resources are assigned according to the different parameters of services. If the available resource can not meet the requirements of new services, real- time ones are admitted with higher priority and allow borrowing the unused reservation from other nodes appropriately. Simulations show that, the proposed scheme has good performance at network resource utilization, the admission rate of new aDolications and OoS of users.展开更多
文摘The interactive task allocation process between workflow management system（WFMS） and resources in real bussiness is analyzed. A series of fundamental workflow resource allocation patterns （WRAPs） are identified. These patterns provide the basis for the design of the more adaptive workflow system. A WRAP framework is proposed to provide a referenced classification system for further pattern extensions.
基金supported by NSAF under Grant(No.U1530117)National Natural Science Foundation of China(No.61471022 and No.61201156)
文摘In modern wireless communication network, the increased consumer demands for multi-type applications and high quality services have become a prominent trend, and put considerable pressure on the wireless network. In that case, the Quality of Experience(Qo E) has received much attention and has become a key performance measurement for the application and service. In order to meet the users' expectations, the management of the resource is crucial in wireless network, especially the Qo E based resource allocation. One of the effective way for resource allocation management is accurate application identification. In this paper, we propose a novel deep learning based method for application identification. We first analyse the requirement of managing Qo E for wireless communication, and review the limitation of the traditional identification methods. After that, a deep learning based method is proposed for automatically extracting the features and identifying the type of application. The proposed method is evaluated by using the practical wireless traffic data, and the experiments verify the effectiveness of our method.
基金ACKNOWLEDGEMENT This work was supported by the National Na- tural Science Foundation of China under Gra- nts No. 61172079, 61231008, No. 61201141, No. 61301176 the National Basic Research Program of China （973 Program） under Grant No. 2009CB320404+2 种基金 the 111 Project under Gr- ant No. B08038 the National Science and Tec- hnology Major Project under Grant No. 2012- ZX03002009-003, No. 2012ZX03004002-003 and the Shaanxi Province Science and Techno- logy Research and Development Program un- der Grant No. 2011KJXX-40.
文摘The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy Resource Management(SDHRM)algorithm exploiting the resources dynamically and intelligently is proposed with the consideration of tidal traffic.In network-level resource allocation,the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility.In connection-level network selection,based on the above resource allocation and the pre-defined QoS requirement,three typical network selection policies are provided to assign traffic flow to the most appropriate network.Furthermore,based on multidimensional Markov model,we analyse the performance of SDHRM in HWNs with heavy tailed traffic.Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can improve the resource utilization.
文摘The analytical method of total resource reallocation effect is an evolution of the analytical method of the factors of economic growth. Since the marketization reform in China in 1978, market mechanism has played a more and more important role in resource allocation, and Chinese economy has developed greatly, which is called "the Chinese Miracle". This paper analyzes the economic growth in China from 1978 to 2004 with the analytical method of total resource reallocation effect. The result shows that the annual growth rate of total resource reallocation effect was 0.2%, which was 5.1% of the comprehensive productivity and 0.21% of the gross output growth, i.e. the total resource allocation played a weak role in the economic growth in China. When analyzing it in Chenery's multinational model, we find that Chinese comprehensive productivity growth rate was higher than that in all the income phases of the model, but the total resource allocation effect was obviously lower than that in all the income phases of the model. It indicates that the total resource allocation in China has a great potential, and that to accelerate marketization reform is one of the important issues for Chinese economic development.
文摘The distribution of resources is the basis of safety management.Based on thesystematic analysis of a resource distribution system affecting the level of safety,the bestdistribution proportion between safety activities and production and best resources distributionproportion among the various links of security activities are presented.Moreover,itis stated that the distribution of resources law needs to be researched deeply in practicalwork to achieve optimization of safety management practice.
基金Supported by the High Technology Research and Development Program of China(No.2009AA01Z211)the Fundamental Research Funds for Central Universities of China(No.2009YJS034)+1 种基金Beijing Nature Science Foundation of China(No.4112044)the Research Fund for the Doctoral Program of Higer Education of China(No.20120009110009)
文摘Resource reservation is an effective measure to ensure end-to-end quality of service （QoS）, however, the burstyness of the traffic makes the reservation idle some time, and forms a waste of re- sources. Based on the analysis of active queue management （AQM） of DiffServ network, we propose a resource management scheme, which allows borrowing resources from unused reservation, accord- ing to the characteristics and advantages of cognitive networks. First, some nodes reserve certain proportion capacity for some special services （for instance, some services pay additional money） to guarantee the priority of these applications. Then resources are assigned according to the different parameters of services. If the available resource can not meet the requirements of new services, real- time ones are admitted with higher priority and allow borrowing the unused reservation from other nodes appropriately. Simulations show that, the proposed scheme has good performance at network resource utilization, the admission rate of new aDolications and OoS of users.
