In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The appro...In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The approach of using the SDN technology in the current task scheduling flexibility, accomplish real-time monitoring of the service node flow and load condition by the OpenFlow protocol. When the load of system is imbalanced, the controller can allocate globally network resources. What＇s more, by using dynamic correction, the load of the system is not obvious tilt in the long run. The results of simulation show that this approach can realize and ensure that the load will not tilt over a long period of time, and improve the system throughput.展开更多
In 2005, an innovative program was formed between the local government and The University of Toledo to help improve environmental and economic conditions in Lucas County, Ohio, USA by providing no cost energy assessme...In 2005, an innovative program was formed between the local government and The University of Toledo to help improve environmental and economic conditions in Lucas County, Ohio, USA by providing no cost energy assessments to various types of organizations. Unlike the Industrial Assessment Centers, which focus on manufacturing and are funded by the Federal Government, this program demonstrates that successful partnerships can be established at the local government level to aid various types of organizations in energy conservation and cost reduction. Since 2005, the program completed ten energy assessments and identified over 143,000 kwh and 103,000 kg of CO2 for reduction. Additionally, over $12,000 has been identified as annual cost savings for Lucas County businesses. The purpose of this paper is to provide a complete overview and framework of this program so that other institutions may learn from it and adopt similar programs at the local level. A focus of this paper is a discussion of a case study that details the process and results of a typical energy assessment conducted through the project and comparison to similar programs in the US.展开更多
To reduce energy consumption in cloud data centres,in this paper,we propose two algorithms called the Energy-aware Scheduling algorithm using Workload-aware Consolidation Technique(ESWCT) and the Energyaware Live Migr...To reduce energy consumption in cloud data centres,in this paper,we propose two algorithms called the Energy-aware Scheduling algorithm using Workload-aware Consolidation Technique(ESWCT) and the Energyaware Live Migration algorithm using Workload-aware Consolidation Technique(ELMWCT).As opposed to traditional energy-aware scheduling algorithms,which often focus on only one-dimensional resource,the two algorithms are based on the fact that multiple resources(such as CPU,memory and network bandwidth)are shared by users concurrently in cloud data centres and heterogeneous workloads have different resource consumption characteristics.Both algorithms investigate the problem of consolidating heterogeneous workloads.They try to execute all Virtual Machines(VMs) with the minimum amount of Physical Machines(PMs),and then power off unused physical servers to reduce power consumption.Simulation results show that both algorithms efficiently utilise the resources in cloud data centres,and the multidimensional resources have good balanced utilizations,which demonstrate their promising energy saving capability.展开更多
With the advent of the era of cloud computing, the high energy consumption of cloud computing data centers has become a prominent problem, and how to reduce the energy consumption of cloud computing data center and im...With the advent of the era of cloud computing, the high energy consumption of cloud computing data centers has become a prominent problem, and how to reduce the energy consumption of cloud computing data center and improve the efficiency of data center has become the research focus of researchers all the world. In a cloud environment, virtual machine consolidation(VMC) is an effective strategy that can improve the energy efficiency. However, at the same time, in the process of virtual machine consolidation, we need to deal with the tradeoff between energy consumption and excellent service performance to meet service level agreement(SLA). In this paper, we propose a new virtual machine consolidation framework for achieving better energy efficiency-Improved Underloaded Decision(IUD) algorithm and Minimum Average Utilization Difference(MAUD) algorithm. Finally, based on real workload data on Planet Lab, experiments have been done with the cloud simulation platform Cloud Sim. The experimental result shows that the proposed algorithm can reduce the energy consumption and SLA violation of data centers compared with existing algorithms, improving the energy efficiency of data centers.展开更多
Language study is closely related to the ecological literature and cultural studies. The predicament of modern ecological literature and cultural theory is that there no linguistic theory to rely on. Biolinguistics em...Language study is closely related to the ecological literature and cultural studies. The predicament of modern ecological literature and cultural theory is that there no linguistic theory to rely on. Biolinguistics emphasize the two-way interaction between language and environment, regard language as the intermediate link between nature and culture. It combines the ＂environment＂ of language with nature and social psychology. Thus this theory studies beyond such one-way determinism of traditional linguistics as ＂the world constructed language＂ or ＂language of the construction of the world,＂ concerning the relationship between language and the world. It also goes beyond the dualism of ＂naturatness＂ of language and ＂agreement＂ of the issue to become the real eco-dialectical linguistic theory with rich ＂argument＂ . This theory can help people better understand the relationship between text and the world, nature and culture, natural ecology and social spiritual ecology. Therefore it is a basic theory of modern literature, cultural studies, as well as one of the most leading and challenging issue for the study of ecological poetic and culture abroad.展开更多
The brittleness analysis and important nodes detection have been a hot spot in the complex networks.How to get the overall feature of the whole network and how to find out some important nodes are requisites to solve ...The brittleness analysis and important nodes detection have been a hot spot in the complex networks.How to get the overall feature of the whole network and how to find out some important nodes are requisites to solve these problems. In this paper, we adopt the trace of the adjacency matrix and the centrality of the complex networks to give a quantitative and qualitative analysis of networks being studied. Results show that the k-shell plays a more important role than the degree centrality and the betweenness in finding important nodes, and it can also be used to give direction on the immunization and maintenance of complex networks.展开更多
文摘为了解决扫描探针显微镜(Scanning Probe Microscope,SPM)现有校准方法复杂程度高且存在局限性的问题,提出了一种基于二维标准微尺度正交栅格的SPM校准方法,通过对扫描获取的栅格图像进行互相关/卷积(Cross-correlation/Convolution,CC)滤波,实现对栅距中心坐标的峰值检测。校准的运动几何误差包括x轴和y轴位置偏差Δ_(x)和Δ_(y)、沿x轴和y轴扫描的直线度偏差δy和δx以及两轴之间的正交性偏差γ_(xy)。根据x轴和y轴扫描像素数、扫描范围、标准栅格计量检定节距平均值、栅距平均值计算得出校准因子C_(x)和C_(y)。采用标称节距为10μm的正交栅格样板对原子力显微镜(Atomic Force Microscope,AFM)进行校准实验,结果显示C_(x)和C_(y)分别为0.925和1.050,γ_(xy)为0.015°,该台AFM的校准扩展不确定度为0.33μm(k=2.56)。研究成果对于推动SPM校准标准文件的具体实施和执行具有积极意义,并为SPM仪器研制及性能评估提供了技术参考。
基金supported by the National Natural Science Foundation of China(No.61163058No.61201250 and No.61363006)Guangxi Key Laboratory of Trusted Software(No.KX201306)
文摘In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The approach of using the SDN technology in the current task scheduling flexibility, accomplish real-time monitoring of the service node flow and load condition by the OpenFlow protocol. When the load of system is imbalanced, the controller can allocate globally network resources. What＇s more, by using dynamic correction, the load of the system is not obvious tilt in the long run. The results of simulation show that this approach can realize and ensure that the load will not tilt over a long period of time, and improve the system throughput.
文摘In 2005, an innovative program was formed between the local government and The University of Toledo to help improve environmental and economic conditions in Lucas County, Ohio, USA by providing no cost energy assessments to various types of organizations. Unlike the Industrial Assessment Centers, which focus on manufacturing and are funded by the Federal Government, this program demonstrates that successful partnerships can be established at the local government level to aid various types of organizations in energy conservation and cost reduction. Since 2005, the program completed ten energy assessments and identified over 143,000 kwh and 103,000 kg of CO2 for reduction. Additionally, over $12,000 has been identified as annual cost savings for Lucas County businesses. The purpose of this paper is to provide a complete overview and framework of this program so that other institutions may learn from it and adopt similar programs at the local level. A focus of this paper is a discussion of a case study that details the process and results of a typical energy assessment conducted through the project and comparison to similar programs in the US.
基金supported by the Opening Project of State key Laboratory of Networking and Switching Technology under Grant No.SKLNST-2010-1-03the National Natural Science Foundation of China under Grants No.U1333113,No.61303204+1 种基金the Sichuan Province seedling project under Grant No.2012ZZ036the Scientific Research Fund of Sichuan Normal University under Grant No.13KYL06
文摘To reduce energy consumption in cloud data centres,in this paper,we propose two algorithms called the Energy-aware Scheduling algorithm using Workload-aware Consolidation Technique(ESWCT) and the Energyaware Live Migration algorithm using Workload-aware Consolidation Technique(ELMWCT).As opposed to traditional energy-aware scheduling algorithms,which often focus on only one-dimensional resource,the two algorithms are based on the fact that multiple resources(such as CPU,memory and network bandwidth)are shared by users concurrently in cloud data centres and heterogeneous workloads have different resource consumption characteristics.Both algorithms investigate the problem of consolidating heterogeneous workloads.They try to execute all Virtual Machines(VMs) with the minimum amount of Physical Machines(PMs),and then power off unused physical servers to reduce power consumption.Simulation results show that both algorithms efficiently utilise the resources in cloud data centres,and the multidimensional resources have good balanced utilizations,which demonstrate their promising energy saving capability.
基金supported by the National Natural Science Foundation of China (NSFC) (No. 61272200, 10805019)the Program for Excellent Young Teachers in Higher Education of Guangdong, China (No. Yq2013012)+2 种基金the Fundamental Research Funds for the Central Universities (2015ZJ010)the Special Support Program of Guangdong Province (201528004)the Pearl River Science & Technology Star Project (201610010046)
文摘With the advent of the era of cloud computing, the high energy consumption of cloud computing data centers has become a prominent problem, and how to reduce the energy consumption of cloud computing data center and improve the efficiency of data center has become the research focus of researchers all the world. In a cloud environment, virtual machine consolidation(VMC) is an effective strategy that can improve the energy efficiency. However, at the same time, in the process of virtual machine consolidation, we need to deal with the tradeoff between energy consumption and excellent service performance to meet service level agreement(SLA). In this paper, we propose a new virtual machine consolidation framework for achieving better energy efficiency-Improved Underloaded Decision(IUD) algorithm and Minimum Average Utilization Difference(MAUD) algorithm. Finally, based on real workload data on Planet Lab, experiments have been done with the cloud simulation platform Cloud Sim. The experimental result shows that the proposed algorithm can reduce the energy consumption and SLA violation of data centers compared with existing algorithms, improving the energy efficiency of data centers.
文摘Language study is closely related to the ecological literature and cultural studies. The predicament of modern ecological literature and cultural theory is that there no linguistic theory to rely on. Biolinguistics emphasize the two-way interaction between language and environment, regard language as the intermediate link between nature and culture. It combines the ＂environment＂ of language with nature and social psychology. Thus this theory studies beyond such one-way determinism of traditional linguistics as ＂the world constructed language＂ or ＂language of the construction of the world,＂ concerning the relationship between language and the world. It also goes beyond the dualism of ＂naturatness＂ of language and ＂agreement＂ of the issue to become the real eco-dialectical linguistic theory with rich ＂argument＂ . This theory can help people better understand the relationship between text and the world, nature and culture, natural ecology and social spiritual ecology. Therefore it is a basic theory of modern literature, cultural studies, as well as one of the most leading and challenging issue for the study of ecological poetic and culture abroad.
文摘The brittleness analysis and important nodes detection have been a hot spot in the complex networks.How to get the overall feature of the whole network and how to find out some important nodes are requisites to solve these problems. In this paper, we adopt the trace of the adjacency matrix and the centrality of the complex networks to give a quantitative and qualitative analysis of networks being studied. Results show that the k-shell plays a more important role than the degree centrality and the betweenness in finding important nodes, and it can also be used to give direction on the immunization and maintenance of complex networks.
