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检索条件"主题词=Algorithmdesignandanalysis"

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A fuzzy clustering algorithm to detect criminals without prior information

A fuzzy clustering algorithm to detect criminals without pri...

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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

作者： Fan, Changjun Xiao, Kaiming Xiu, Baoxin Lv, Guodong Natl Univ Def Technol Sci & Technol Informat Syst Engn Lab Changsha 410073 Hunan Peoples R China

ISBN: (纸本)9781479958771

Crime analysis has been widely studied, but problem of identifying conspirators through communication network analysis is still not well resolved. In this paper, we proposed a fuzzy clustering algorithm to detect hidden criminals from topic network, which took no use of individuals' prior identity information. We first built up a local suspicion calculation from nodes' neighboring information (node and edge);and then with global information, we employed the fuzzy k-means clustering algorithm, and made the membership to suspicious group as the global suspicion degree. Experiments showed it works well on identification: known suspects gained relative high values and known innocents got relative low values.

关键词： algorithmdesignandanalysis Analyticalmodels Clusteringalgorithms Conferences Indexes Semantics Socialnetworkservices Criminals Semantics Clustering algorithms Fuzzy semiotics Suspicion

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Clique Migration: Affinity Grouping of Virtual Machines for Inter-Cloud Live Migration 9

<i>Clique Migration</i>: Affinity Grouping of Virtual Machin...

引用

9th IEEE International Conference on Networking, Architecture, and Storage (NAS)

作者： Lu, Tao Stuart, Morgan Tang, Kun He, Xubin Virginia Commonwealth Univ Dept Elect & Comp Engn Richmond VA 23284 USA

ISBN: (纸本)9781479940875

Affinity is common among Virtual Machines (VMs) in cloud environments. If VMs collaborating on a job are split in geographically distributed clouds, the low bandwidth and high latency inter-cloud communication via a wide area network (WAN) will dramatically degrade the system performance. A potential solution is migrating all of the VMs collaborating on a job in parallel, so as to avoid wide area communication. However, if the job is too large, it becomes impractical to migrate all of the VMs simultaneously due to limited WAN bandwidth and high block dirty rate. We propose a migration optimization mechanism called Clique Migration to partition a large group of VMs into subgroups based on the traffic affinities among VMs. Then, subgroups are migrated one at a time. Based on Clique Migration, we propose and implement two algorithms called R-Min-Cut and Kmeans-SF. Analysis of the traffic trace of 68 VMs in an IBM production cluster shows that our algorithms can reduce inter-cloud traffic by 25% to 60%, when the degree of parallel migration is from 2 to 32. Tests of MPI multi-PingPing benchmark running on simulated inter-cloud environments, show that our algorithms can significantly shorten the period during which applications undergo performance degradation. Tests of MPI Reduce scatter benchmark show that R-Min-Cut can keep the performance during migration at 26% to 75% of the non-migration scenario.

关键词： algorithmdesignandanalysis Bandwidth Clusteringalgorithms Degradation Partitioningalgorithms Production Wideareanetworks Inter-Cloud Livemigration Traffic-awaregrouping Virtualmachine Wideareanetwork Bandwidth Immigration Migrations jobs Wide area networks virtual machines affinity Affine transformation message passing mannose phosphate isomerase remote procedure calls deterioration degradation of performance

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Guided Fast Local Search for Speeding Up a Financial Forecasting Algorithm

Guided Fast Local Search for Speeding Up a Financial Forecas...

引用

IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr)

作者： Shao, Ming Smonou, Dafni Kampouridis, Michael Tsang, Edward Univ Essex Ctr Computat Finance & Econ Agents Colchester CO4 3SQ Essex England Univ Kent Sch Comp Canterbury ME4 4AG Kent England

ISBN: (纸本)9781479923809

Guided Local Search is a powerful meta-heuristic algorithm that has been applied to a successful Genetic Programming Financial Forecasting tool called EDDIE. Although previous research has shown that it has significantly improved the performance of EDDIE, it also increased its computational cost to a high extent. This paper presents an attempt to deal with this issue by combining Guided Local Search with Fast Local Search, an algorithm that has shown in the past to be able to significantly reduce the computational cost of Guided Local Search. Results show that EDDIE's computational cost has been reduced by an impressive 77%, while at the same time there is no cost to the predictive performance of the algorithm.

关键词： algorithmdesignandanalysis Computationalefficiency Equations Forecasting Mathematicalmodel Predictionalgorithms Radiofrequency radiofrequency Speeding algorithms Searches Equation

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A Novel Algorithm for Community Detection and Influence Ranking in Social Networks

A Novel Algorithm for Community Detection and Influence Rank...

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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

作者： Wang, Wenjun Street, W. Nick Univ Iowa Dept Management Sci Iowa City IA 52242 USA

ISBN: (纸本)9781479958771

Community detection and influence analysis are significant notions in social networks. We exploit the implicit knowledge of influence-based connectivity and proximity encoded in the network topology, and propose a novel algorithm for both community detection and influence ranking. Using a new influence cascade model, the algorithm generates an influence vector for each node, which captures in detail how the node's influence is distributed through the network. Similarity in this influence space defines a new, meaningful and refined connectivity measure for the closeness of any pair of nodes. Our approach not only differentiates the influence ranking but also effectively finds communities in both undirected and directed networks, and incorporates these two important tasks into one integrated framework. We demonstrate its superior performance with extensive tests on a set of real-world networks and synthetic benchmarks.

关键词： algorithmdesignandanalysis Benchmarktesting Clusteringalgorithms Communities Conferences Socialnetworkservices Vectors Social Networks Social Capital impact assessment Network topology Ganglia Communities Cloning Vectors Intimacy

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File System and Storage Array Design Challenges for Flash Memory

File System and Storage Array Design Challenges for Flash Me...

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International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE)

作者： Ramasamy, Arul Selvan Karantharaj, Porkumaran Anna Univ Comp Sci & Engn Chennai 600025 Tamil Nadu India Dr NGP Inst Technol Coimbatore Tamil Nadu India

ISBN: (纸本)9781479949816

Over the few decades the characteristics of the magnetic disk based persistent primary storage system have remained essentially unchanged. Seek, read and write are the primitive operations that can be performed against these devices. These three operations have endured because the devices within storage subsystems have not fundamentally changed since the invention of magnetic disks. In many cases, the file systems for the existing storage arrays are custom and proprietary and tuned for the characteristics of magnetic disk. As the cost of flash memory continues to decrease, enterprises are attempting to deploy flash in primary network attached storage systems such as storage arrays. Flash memory poses unique characteristics, which requires sophisticated data structures and algorithms to exploit the performance benefits. When flash memory is used in primary storage arrays, the file systems face lot of design challenges for the optimal flash performance and device endurance. Replace the new flash arrays with existing enterprise disk based storage arrays that provide data management and protection features is a challenging task. We discussed various challenges in file system and the storage arrays for integrating flash memory arrays in the primary storage. Also we discussed the previously proposed solutions to overcome the discussed problems.

关键词： algorithmdesignandanalysis Arrays Filesystems Flashmemories Harddisks Solids Writing

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Forming MS-Free and Outdegree-Limited Bluetooth Scatternets in Pessimistic Environments 39

Forming MS-Free and Outdegree-Limited Bluetooth Scatternets ...

引用

39th Annual IEEE Conference on Local Computer Networks (LCN)

作者： Jedda, Ahmed Mouftah, Hussein T. Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada

ISBN: (纸本)9781479937806

This paper introduces two distributed Bluetooth Scatternet Formation (BSF) algorithms, called BSFWAVVY (MSF) and BSFWAVVY (ODL). The first algorithm forms scatternets that contain no MS-bridges (MS-free scatternets), while the second forms scatternets in which each piconet has at most k slaves (outdegree-limited scatternets). MS-freeness and outdegree-limitation are two properties that significantly improve the quality of the scatternets. Contrary to existing BSF algorithms, our algorithms consider these properties under pessimistic environments modeled as arbitrary networks (i.e. no assumptions are made on the underlying network topology). The optimality of our algorithms are proven. Future directions are proposed to further improve the empirical performance of the introduced algorithms.

关键词： algorithmdesignandanalysis Bluetooth Bridges Nominationsandelections Timecomplexity Personal area networks Bluetooth bridges algorithms Pessimism

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A Study of Age and Gender seen through Mobile Phone Usage Patterns in Mexico

A Study of Age and Gender seen through Mobile Phone Usage Pa...

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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

作者： Sarraute, Carlos Blanc, Pablo Burroni, Javier Grandata Labs Buenos Aires DF Argentina UBA FCEN Dept Math Buenos Aires DF Argentina

ISBN: (纸本)9781479958771

Mobile phone usage provides a wealth of information, which can be used to better understand the demographic structure of a population. In this paper we focus on the population of Mexican mobile phone users. Our first contribution is an observational study of mobile phone usage according to gender and age groups. We were able to detect significant differences in phone usage among different subgroups of the population. Our second contribution is to provide a novel methodology to predict demographic features (namely age and gender) of unlabeled users by leveraging individual calling patterns, as well as the structure of the communication graph. We provide details of the methodology and show experimental results on a real world dataset that involves millions of users.

关键词： algorithmdesignandanalysis Machinelearningalgorithms Mobilehandsets Predictionalgorithms Socialnetworkservices Sociology Statistics

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An Analysis of Price Impact Functions of Individual Trades on the London Stock Exchange

An Analysis of Price Impact Functions of Individual Trades o...

引用

IEEE Conference on Computational Intelligence for Financial Engineering and Economics (CIFEr)

作者： Wilinski, Mateusz Cui, Wei Brabazon, Anthony Univ Warsaw Fac Phys Warsaw Poland Univ Coll Dublin Sch Business Dublin 2 Ireland

ISBN: (纸本)9781479923809

Studying price impact is important in finance and previous work examines the relationship between trade size and price impact on a number of equity markets. In this study, using recent order book data from the London Stock Exchange, we examine the price impact function for six highly-liquid stocks and novelly investigate whether the function displays time-of-day effects. The results show that price impact exhibits a power-law scaling, and that price impact is highest in the first hour of the trading day and lowest in the last ninety minutes of trading.

关键词： algorithmdesignandanalysis Companies Consumerelectronics Datamining Educationalinstitutions Shareprices Stockmarkets london stock Prices Companies London

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PREESM: A DATAFLOW-BASED RAPID PROTOTYPING FRAMEWORK FOR SIMPLIFYING MULTICORE DSP PROGRAMMING 6

PREESM: A DATAFLOW-BASED RAPID PROTOTYPING FRAMEWORK FOR SIM...

引用

6th European Embedded Design in Education and Research Conference (EDERC)

作者： Pelcat, Maxime Desnos, Karol Heulot, Julien Guy, Clement Nezan, Jean-Francois Aridhi, Slaheddine INSA Rennes IETR UMR CNRS 6164 F-35708 Rennes France Texas Instruments France Cagnes Sur Mer France

ISBN: (纸本)9781479968435

The high performance Digital Signal Processors (DSPs) currently manufactured by Texas Instruments are heterogeneous multiprocessor architectures. Programming these architectures is a complex task often reserved to specialized engineers because the bottlenecks of both the algorithm and the architecture need to be deeply understood in order to obtain a fairly parallel execution. The PREESM framework objective is to simplify the programming of multicore DSP systems by building on dataflow programming methods. The current functionalities of this scalable framework cover memory and time analysis, as well as automatic deadlock-free code generation. Several tutorials are provided with the tool for fast initiation of C programmers to multicore DSP programming. This paper demonstrates PREESM capabilities by comparing simulation and execution performances on a stereo matching algorithm prototyped on the TMS320C6678 8-core DSP device.

关键词： algorithmdesignandanalysis Computationalmodeling Digitalsignalprocessing Multicoreprocessing Parallelprocessing Throughput Throughput Programming Digital signal processing Desmoplakin Gene MULTIPROCESSOR ARCHITECTURE Multi-core processors ARCHITECTURE Building construction Code generation Traffic Bottlenecks Frameworks

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Symbolic Execution of Network Software Based on Unit Testing 9

Symbolic Execution of Network Software Based on Unit Testing

引用

9th IEEE International Conference on Networking, Architecture, and Storage (NAS)

作者： Zhou Lin Liu Fei Gan Shuitao Qin Xiaojun Han Wenbao State Key Lab Math Engn & Adv Comp Wuxi 214083 Peoples R China

ISBN: (纸本)9781479940875

Complex interactions and the distributed nature of network software make automated testing and debugging before deployment a necessity. Symbolic execution is a systematic program analysis technique that has become increasingly popular in network software testing, due to algorithmic advances and availability of computational power and constraint solving technology. However, A main challenge is to detect determining symbolic values for program variables related to library, loops and cryptograph algorithms which are widely used in network software. In this paper, we propose a unit symbolic analysis, a hybrid technique that enables fully automatic symbolic analysis even for the traditionally challenging code. The novelties of this work are threefold: 1) we flexibly employs static symbolic execution to amplify the effect of dynamic symbolic execution on demand;2) dynamic executions and regression analysis are performed on the unit tests constructed from the code segments to infer program semantics needed by static analysis;and 3) symbolic analysis is utilized to tackle loop structure and cryptograph algorithm module. We developed the NetSym framework, consisting of a static component that performs symbolic analysis and partitions a program, a dynamic analysis that synthesizes unit tests and automatically infers symbolic values for program variables, and a protocol that enables static and dynamic analyses to be run interactively and concurrently. Our experimental results show that by handling cryptograph algorithms, loops and library calls that a traditional symbolic analysis cannot process, unit symbolic analysis detects more vulnerabilities in less time. The technique is scalable for real-world programs such as GHttpd, SQL Server and GDI.

关键词： algorithmdesignandanalysis Cryptography Heuristicalgorithms Libraries Performanceanalysis Software Testing symbolic analysis Libraries computer software cryptography Legal Executions computer programs program analysis technique program variable PROCESS UNITS

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