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检索条件"任意字段=13th International Conference on Distributed Computing and Networking, ICDCN 2012"

共 299 条记录，以下是71-80 订阅

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UR Rank: Micro-blog User Influence Ranking Algorithm Based on User Relationship 13th

UR Rank: Micro-blog User Influence Ranking Algorithm Based o...

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13th European-Alliance-for-Innovation (EAI) international conference on Collaborative computing - networking, Applications and Worksharing (CollaborateCom)

作者： Yao, Wenbin Yang, Yiwei Wang, Dongbin Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing Peoples R China Beijing Univ Posts & Telecommun Natl Engn Lab Mobile Network Secur Beijing Peoples R China Beijing Univ Posts & Telecommun Minist Educ Trustworthy Distributed Comp & Serv Key Lab Beijing Peoples R China

ISBN: (纸本)9783030009168;9783030009151

In this paper, a novel UR Rank (User Relationships based Ranking) algorithm is proposed for ranking the influence of the user. We first explore five factors that affect user relationship. they are following rate (FR) factor, activity (ACT) factor, authority (ATR) factor, interaction (ITA) factor and similarity (SML) factor. then those factors are used in Support Vector Regression (SVR) model to predict the relationship between users. We assimilate such predicted relationship into a PageRank based transition probability to identify influential users. the experiments on a real micro-blog data set demonstrate that UR Rank algorithm has better performance and is more persuasive than the existing algorithms.

关键词： Micro-blog User influence Support vector regression PageRank

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Minimum Cost Load Migration in distributed Software Defined Networks 13th

Minimum Cost Load Migration in Distributed Software Defined ...

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13th European-Alliance-for-Innovation (EAI) international conference on Collaborative computing - networking, Applications and Worksharing (CollaborateCom)

作者： Qin, Kuangyu Huang, Chuanhe Ganesan, N. Liu, Kewei Wuhan Univ Comp Sch Wuhan Hubei Peoples R China Collaborat Innovat Ctr Geospatial Technol Wuhan Hubei Peoples R China Reg Inst Cooperat Management Bangalore Karnataka India

ISBN: (纸本)9783030009168;9783030009151

Software defined networking is a network paradigm which separates the control plane and the data plane. In a large SDN network, multiple controllers are used for handling switches' requests. Because of the unbalanced requests, sometimes some controllers get overloaded. If switch's management can be shifted from the overloaded controller to idle controllers, network performance can be improved. But shifting the switches will bring cost to the system. In this paper, the isolation nodes problem is studied. A minimum cost load migration approach and a heuristic migration algorithm are proposed. the proposed load migration approach can avoid the isolation nodes. the simulation results show that the proposed approach enhances the system performance.

关键词： SDN Load migration Isolation nodes

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13th international conference on Collaborative computing: networking, Applications and Worksharing, CollaborateCom 2017

13th International Conference on Collaborative Computing: Ne...

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13th international conference on Collaborative computing: networking, Applications and Worksharing, CollaborateCom 2017

ISBN: (纸本)9783030009151

the proceedings contain 65 papers. the special focus in this conference is on Collaborative computing: networking, Applications and Worksharing. the topics include: A Human-Machine Collaborative Detection Model for Identifying Web Attacks;a Reinforcement Learning Based Workflow Application Scheduling Approach in Dynamic Cloud Environment;p-Faster R-CNN Algorithm for Food Detection;PUED: A Social Spammer Detection Method Based on PU Learning and Ensemble Learning;position vs. Attitude: How Topological Factors Influence Our Difference in the Attitudes on Online Interrelationships? A Case Study with Language Use;route-Oriented Participants Recruitment in Collaborative Crowdsensing;management Node Selection Based on Cloud Model in a distributed Network;CNTE: A Node Centrality-Based Network Trust Evaluation Method;minimum Cost Load Migration in distributed Software Defined Networks;collaborative and Green Resource Allocation in 5G HetNet with Renewable Energy;hybrid-Aware Collaborative Multipath Communications for Heterogeneous Vehicular Networks;RETaIL: A Machine Learning-Based Item-Level Localization System in Retail Environment;a Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks;an Electricity Power Collection Data Oriented Missing Data Imputation Solution;curve-Registration-Based Feature Extraction for Predictive Maintenance of Industrial Equipment;predicting Next Points of Interests Based on a Markov Model;A Topology-Aware Reliable Broadcast Scheme for Multidimensional VANET Scenarios;MAC-ILoc: Multiple Antennas Cooperation Based Indoor Localization Using Cylindrical Antenna Arrays;easing Traffic Congestion: An Improved Clustering Method for Sharing Bike Station Deployment;sensor Data Classification for the Indication of Lameness in Sheep;On Cost Efficient Dataflow computing Program Deployment in SDN Managed distributed computing Environment.

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Joint Optimization of Energy and QoE with Fairness in Cooperative Fog computing System 13

Joint Optimization of Energy and QoE with Fairness in Cooper...

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13th IEEE international conference on networking, Architecture and Storage (NAS)

作者： Dong, Yifan Han, Cheng Guo, Songtao Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China

ISBN: (纸本)9781538683675

Fog computing as one of Mobile Edge computing (MEC) paradigms deploys servers to the edge of networks to reduce the transmission latency. However, how to obtain the energy-effective cooperation policy among fog nodes to enhance the users' quality of experience (QoE) under fairness still remains a challenging issue, where the fairness ensures that fog nodes are encouraged to take part in cooperations. therefore, we first build up a cooperative fog computing system to process offloading workload on the entire Fog layer by data forwarding. then we propose a joint optimization problem of QoE (average response time) and energy (average energy consumption) in integrated fog computing process with fairness. After that, we prove the convexity of the optimization problem and design a Fairness Cooperation Algorithm to obtain the optimal fairness cooperation policy of all fog nodes. Finally, by comparing with baseline algorithm and distributed Optimization Algorithm, the numerical results show that our algorithm can effectively reduce response time reduction and energy consumption.

关键词： Fog computing cooperation policy workload forwarding fairness principle joint optimization

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HSAStore: A Hierarchical Storage Architecture for computing Systems Containing Large-Scale Intermediate Data 13th

HSAStore: A Hierarchical Storage Architecture for Computing ...

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13th European-Alliance-for-Innovation (EAI) international conference on Collaborative computing - networking, Applications and Worksharing (CollaborateCom)

作者： Zhang, Zhoujie Xiao, Limin Su, Shubin Ruan, Li Wei, Bing Zhou, Nan Liu, Xi Wang, Haitao Wei, Zipeng Beihang Univ State Key Lab Software Dev Environm Beijing 100191 Peoples R China Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China Space Star Technol Co Ltd Beijing 100086 Peoples R China

ISBN: (纸本)9783030009168;9783030009151

this paper introduces HSAStore, a newly designed storage system whose goal goes to build an efficient storage system for computing systems that containing large-scale intermediate data. HSAStore involves three sub-systems to work together, a distributed file system which is in charge of the intermediate data, a centralized Network Attached Storage (NAS) which stores the raw input data and the results data, and a local file system that serves for the local data. the HSAStore takes full advantage of the network bandwidth of the computing cluster. Moreover, HSAStore adopts the distributed file system, so it is helpful for efficient execution of parallel programs. Experiments show that HSAStore has a significant improvement on efficiency in the computing systems that containing large-scale intermediate data.

关键词： Hierarchical storage architecture Bandwidth bottleneck Large-scale intermediate data distributed file system

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Energy-Efficient Task Offloading and Resource Scheduling for Mobile Edge computing 13

Energy-Efficient Task Offloading and Resource Scheduling for...

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13th IEEE international conference on networking, Architecture and Storage (NAS)

作者： Yu, Hongyan Wang, Quyuan Guo, Songtao Chongqing Three Gorges Univ Key Lab Intelligent Informat Proc & Control Univ Chongqing 404100 Peoples R China Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China

ISBN: (纸本)9781538683675

Mobile edge computing is an emerging computing paradigm to augment computational capabilities of mobile devices by offloading computation-intensive tasks from resource-constrained smart mobile device onto edge clouds nearby with potential computation capability. However, in general, edge clouds have limited computation resource and energy. thus it is critical to achieve high energy efficiency while ensuring satisfactory user experience. In this paper, we first formulate the computation offloading problem for mobile edge computing into the system cost minimization problem by taking into account the completion time and energy. We then transform the optimization problem into a convex problem and propose a distributed algorithm consisting of offioading strategy selection, clock frequency configuration, transmission power allocation and channel rate scheduling. Finally, the experimental results show that our algorithm can achieve energy-efficient offioading performance compared to other existing algorithms.

关键词： Mobile edge computing Energy-efficient Convex optimization M/M/n queue model

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Ranking the Influence of Micro-blog Users Based on Activation Forwarding Relationship 13th

Ranking the Influence of Micro-blog Users Based on Activatio...

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13th European-Alliance-for-Innovation (EAI) international conference on Collaborative computing - networking, Applications and Worksharing (CollaborateCom)

作者： Yang, Yiwei Yao, Wenbin Wang, Dongbin Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing Peoples R China Beijing Univ Posts & Telecommun Natl Engn Lab Mobile Network Secur Beijing Peoples R China Beijing Univ Posts & Telecommun Key Lab Minist Educ Trustworthy Distributed Comp & Serv Beijing Peoples R China

ISBN: (纸本)9783030009168;9783030009151

How to predict the influence of users in micro-blog is a challenging task. Although numerous attempts have been made for this topic, few of them analyze the influence of users from the perspective filtration mechanism. In this paper, we propose a novel Activation Forwarding Relationship Independent Cascade algorithm for analyzing the influence of users. the algorithm mainly consists of two parts: forwarding prediction and activation process. We predict the forwarding relationship by Random Forest (RF) and improve the Independent Cascade algorithm to construct an activation network. the algorithm can filter non influence users during the construction of the activation network, thus reducing the amount of ranking time. By calculating the user's activation capability, we rank user's influence. the experimental results show that our algorithm can achieve 95% accuracy in predicting forwarding relationships. Besides, our algorithm not only saves computing time, but also shows that the Top-10 users in the ranking list have better ability to spread information than the existing ranking algorithms.

关键词： Activation forwarding Random forest Independent cascade model Micro-blog

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Formal Verification of Authorization Policies for Enterprise Social Networks Using PlusCal-2 13th

Formal Verification of Authorization Policies for Enterprise...

引用

13th European-Alliance-for-Innovation (EAI) international conference on Collaborative computing - networking, Applications and Worksharing (CollaborateCom)

作者： Akhtar, Sabina Zahoor, Ehtesham Perrin, Olivier Bahria Univ Islamabad Pakistan Natl Univ Comp & Emerging Sci Secure Networks & Distributed Syst Lab SENDS Islamabad Pakistan Univ Lorraine LORIA BP 239 F-54506 Vandoeuvre Les Nancy France

ISBN: (纸本)9783030009168;9783030009151

Information security research has been a highly active and widely studied research direction. In the domain of Enterprise Social Networks (ESNs), the security challenges are amplified as they aim to incorporate the social technologies in an enterprise setup and thus asserting greater control on information security. Further, the security challenges may not be limited to the boundaries of a single enterprise and need to be catered for a federated environment where users from different ESNs can collaborate. In this paper, we address the problem of federated authorization for the ESNs and present an approach for combining user level policies with the enterprise policies. We present the formal verification technique for ESNs and how it can be used to identify the conflicts in the policies. It allows us to bridge the gap between user-centric or enterprise-centric approaches as required by the domain of ESN. We apply our specification of ESNs on a scenario and discuss the model checking results.

关键词： Enterprise social network Formal verification Model checking PLUSCAL-2, TLA(+), TLC

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Collaborative computing: networking, Applications and Worksharing 1st ed. 2018

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丛书名： Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

2018年

作者： Imed Romdhani Lei Shu Hara Takahiro Zhangbing Zhou Timothy Gordon Deze Zeng

ISBN: (数字)9783030009168

ISBN: (纸本)9783030009151

this book constitutes the thoroughly refereed proceedings of the 13th international conference on Collaborative computing: networking, Applications, and Worksharing, Collaborate Com 2017, held in Edinburgh, UK, in December 2017. the 65 papers presented were carefully reviewed and selected from 103 submissions and focus on electronic collaboration between distributed teams of humans, computer applications, and autonomous robots to achieve higher productivity and produce joint products.

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Snort Based Collaborative Intrusion Detection System Using Blockchain in SDN

Snort Based Collaborative Intrusion Detection System Using B...

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international conference on Software, Knowledge Information, Industrial Management and Applications (SKIMA)

作者： Raja Majid Ali Ujjan Zeeshan Pervez Keshav Dahal School of Computing Engineering and Physical Sciences University of the West of Scotland Paisley PA1 2BE UK

Due to the rapid increment of the cyber attacks, intrusion detection system (IDS) is shifting towards collaborative approaches. there is a huge demand for securing larger networking environments for providing a safeguard against threats. In order to optimize the feasible detection performance, Collaborative Intrusion Detection Networks (CIDN) approaches have been adopted in practical scenarios, which enables a group of IDS nodes to mutually share and exchange mandatory information with each other, for example, IDS-signatures, attacks alarms. However, CIDN networks are distributed in nature, such networks still face plenty of implementation problems, especially, insider intruder can easily dominate any of security node and leave the entire security system vulnerable. To achieve the trust-based communication between each of IDS node, the recent advancement in blockchain applications is considered as a good fit to create trust-based communication in CIDN networks. this work converges CIDN network and blockchain in SDN context. Firstly, we investigated existing related work and highlighted challenges and research gap towards blockchain in CIDN networks. Secondly, we utilised three collaborated Snort IDS to receive the latest signature update from Ryu and then to securely share such signatures updates to all other Snort nodes within test-bed. Our work is motivated to detect seven types of common attacks with collaborated signature-based IDS, which feasibly processes more packets to achieve satisfactory detection results. Overall the evaluation results show that with the adoption of blockchain protocols, the proposed CIDN network achieves 96% of TP rate detection rate for TCP, UDP and ICMP packets.

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