Current studies on complex networks are mainly concentrated on some specific properties of the complex network. In view of the lack of universal analysis model, a universal complex network model with limiteddegree is...
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Today’s data center networks are designed using densely interconnected hosts in the data *** are multiple paths between source host anddestination ***,how to balance traffic is key issue with the fast growth of netw...
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Today’s data center networks are designed using densely interconnected hosts in the data *** are multiple paths between source host anddestination ***,how to balance traffic is key issue with the fast growth of network *** lots of load balancing methods have been proposed,the traditional approaches cannot fully satisfy the requirement of load balancing in data center *** main reason is the lack of efficient ways to obtain network traffic statistics from each network *** a solution,the OpenFlow protocol enables monitoring traffic statistics by a centralized ***,existing solutions based on OpenFlow present a difficult dilemma between load balancing and packet *** achieve a balance between load balancing and packet reordering,we propose an OpenFlow based flow slice load balancing *** introducing the idea of differentiated service,the scheme classifies Internet flows into two categories:the aggressive and the normal,and applies different splitting granularities to the two classes of *** scheme improves the performance of load balancing and also reduces the number of reordering *** the trace-driven simulations,we show that the proposed scheme gains over 50%improvement over previous schemes under the path delay estimation errors,and is a practical and efficient algorithm.
The thinking of signal-to-leakage-plus-noise ratio (SLNr) is widely used for multi-user multiple-input multiple-output (MU-MIMO) systems in many works. We analyze the secrecy performance of the SLNr-based beamforming ...
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ISBN:
(纸本)9781467376884
The thinking of signal-to-leakage-plus-noise ratio (SLNr) is widely used for multi-user multiple-input multiple-output (MU-MIMO) systems in many works. We analyze the secrecy performance of the SLNr-based beamforming scheme in the multiple-input single-output multi-antenna eavesdropper (MISÓME) wiretap channel. Our analysis proofs the SLNr-based beamforming scheme has almost the same performance as the generalized eigenvalue decomposition (GEd) based beamforming scheme, and has significant gain over the zero-forcing (ZF) beamforming scheme.
For the problem that traditional approaches for IP geolocation based on delay measurement are difficult to apply to network with weak connectivity such as China's Internet, in this paper, we utilize its hierarchic...
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For the problem that traditional approaches for IP geolocation based on delay measurement are difficult to apply to network with weak connectivity such as China's Internet, in this paper, we utilize its hierarchical topology and proposed an approach of City-level geolocation based on routing feature. Taking IPs with known geographical location as reference nodes, this approach extracts identifying IPs of candidate regions or cities based on decision tree learning algorithm. We match the path of the target with IPs above called identifying features, and then select the region or city whose identifying feature is contained on the target's path as geolocation result. This approach improves the average accuracy for the Internet with weak connectivity hierarchical topology to 93% vs. 73% for the previous learning-based geolocation approach.
Today's data center networks are designed using densely interconnected hosts in the data *** are multiple paths between source host anddestination ***,how to balance traffic is key issue with the fast growth of n...
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Today's data center networks are designed using densely interconnected hosts in the data *** are multiple paths between source host anddestination ***,how to balance traffic is key issue with the fast growth of network *** lots of load balancing methods have been proposed,the traditional approaches cannot fully satisfy the requirement of load balancing in data center *** main reason is the lack of efficient ways to obtain network traffic statistics from each network *** a solution,the OpenFlow protocol enables monitoring traffic statistics by a centralized ***,existing solutions based on OpenFlow present a difficult dilemma between load balancing and packet *** achieve a balance between load balancing and packet reordering,we propose an OpenFlow based flow slice load balancing *** introducing the idea of differentiated service,the scheme classifies Internet flows into two categories:the aggressive and the normal,and applies different splitting granularities to the two classes of *** scheme improves the performance of load balancing and also reduces the number of reordering *** the trace-driven simulations,we show that the proposed scheme gains over 50%improvement over previous schemes under the path delay estimation errors,and is a practical and efficient algorithm.
resource scheduling algorithm for ForCES(Forwarding and Control Element Separation) networks need to meet the flexibility,programmability and scalability of node ***(deadline Budget Constrain) algorithm relies on user...
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resource scheduling algorithm for ForCES(Forwarding and Control Element Separation) networks need to meet the flexibility,programmability and scalability of node ***(deadline Budget Constrain) algorithm relies on users select cost or time priority,then scheduling to meet the requirements of ***,this priority strategy of users is relatively simple,and cannot adapt to dynamic change of resources,it is inevitable to reduce the *** order to improve QoS,we refer to the economic model andresource scheduling model of cloud computing,use SAL(Service Level Agreement) as pricing strategy,on the basis of dBC algorithm,propose an dABP(deadline And Budget Priority based on dBC) algorithm for ForCES networks,dABP combines both budget and time priority to *** simulation and test,we compare the task finish time and cost of dABP algorithm with dP(deadline Priority) algorithm and BP(Budget Priority) algorithm,the analysis results show that dABP algorithm make the task complete with less cost within deadline,benifical to load balancing of ForCES networks.
Applications can only reach 8 %~15 % of utilization on modern computersystems. There are many obstacles to improving system efficiency. The key root is the conflict between the fixed general computer architecture and...
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Applications can only reach 8 %~15 % of utilization on modern computersystems. There are many obstacles to improving system efficiency. The key root is the conflict between the fixed general computer architecture and the variable requirements of applications. Proactive reconfigurable computing architecture(PrCA) is proposed to improve computing efficiency. PrCA dynamically constructs an efficient computing architecture for a specific application via reconfigurable technology by perceiving requirements,workload and utilization of computing resources. Proactive decision support system(PdSS),hybridreconfigurable computing array(HrCA) andreconfigurable interconnect(rIC) are intensively researched as the key technologies. The principles of PrCA have been verified with four applications on a test bed. It is shown that PrCA is feasible and highly efficient.
According to the application of Superword Level Paralleism SLP auto-vectorization compiling system in digital Signal Processing(dSP), due to the specialized functions of dSP frame, such as the specific addressing mode...
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According to the application of Superword Level Paralleism SLP auto-vectorization compiling system in digital Signal Processing(dSP), due to the specialized functions of dSP frame, such as the specific addressing model, a wide variety of registers, irregulardata branch, the obstacle of dependence relation to vectorization non-aligneddata or otherreasons, which resulted in the compiler can not support SIMd auto-vectorization with the feature of dSP. In order to solve this problem, the SLP auto-vectorization method was studied towards dSP frame. Based on the specialized functions of dSP frame, the instruction analysis and optimization algorithm in SLP auto-vectorization were improved, so as to transform more high-efficiency source program. The experimental results show that the optimization method of this paper has a tremendous role on improving dSP performances andreducing power consumption.
Spectral segmentation algorithms can extract the global impression of an image and be widely used in many areas and applications related to image segmentation. Traditional spectral algorithms need to construct an affi...
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Spectral segmentation algorithms can extract the global impression of an image and be widely used in many areas and applications related to image segmentation. Traditional spectral algorithms need to construct an affinity matrix based on all the pixels in the image and compute the eigenvectors of the matrix to find global optimum segmentation. With the growing of image size, the spatial and computational complexity increases egregiously. We propose a novel approach for solving the problem. rather than focusing on pixels in the image, our approach aims at the gray histogram extracting the global impression of an image. We construct an affinity matrix directly based on the gray histogram and weight matrix with a histogram coefficient of corresponding gray level. Our methoddecreases the affinity matrix dimension to 256 ?256 at most for the gray image, and thus decreases the complexity sharply. The spatial and computational complexity is insensitive to the image size. We have used the proposed method to segment text and PCB images, and found the segmentation results to be very encouraging.
Current studies on complex networks are mainly concentrated on some specific properties of the complex network. In view of the lack of universal analysis model, a universal complex network model with limiteddegree is...
Current studies on complex networks are mainly concentrated on some specific properties of the complex network. In view of the lack of universal analysis model, a universal complex network model with limiteddegree is built from the common characteristics of complex network. The evolution role and calculation are described in detail, focusing on the analysis of typical characteristics of complex networks, such as the degree distribution, the average shortest path, clustering coefficient, and community distribution. Simulation proves the correctness of networking properties in complex network theory.
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