2012 IEEE Network Operations and Management Symposium最新文献_第7页

A framework to leverage domain expertise to support novice users in the visual exploration of Home Area Networks 一个框架，利用领域的专业知识来支持新手用户在家庭区域网络的视觉探索

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211953

Yuqian Song, J. Keeney, Owen Conlan

引用次数: 4

A learning feature engineering method for task assignment 一种任务分配的学习特征工程方法

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6212015

D. Loewenstern, F. Pinel, L. Shwartz, M. Gatti, R. Herrmann, Victor F. Cavalcante

引用次数: 3

Ranking anomalies in data centers 数据中心异常排行

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211885

K. Viswanathan, C. Lakshminarayan, V. Talwar, Chengwei Wang, Greg Macdonald, W. Satterfield

{"title":"Ranking anomalies in data centers","authors":"K. Viswanathan, C. Lakshminarayan, V. Talwar, Chengwei Wang, Greg Macdonald, W. Satterfield","doi":"10.1109/NOMS.2012.6211885","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211885","url":null,"abstract":"Data centers are growing in size and complexity driven by trends such as cloud computing and on-line services. Such large data centers pose several challenges for system management. Key among them is anomaly detection which is required to monitor and analyze metrics across several thousands servers and across multiple layers of abstractions to detect anomalous system behavior. In practice, multiple anomaly detection tools are used to continuously raise alarms across multiple metrics and servers. These alarms include both true positives and false alarms. Administrators and management tools act on these alarms for diagnosis and deeper root cause analysis and take appropriate management actions to mitigate the anomalous behaviors. Given the scale and scope of the system, the administrators and management tools are overwhelmed with the large number of alarms at any given instant, many of which are false alarms. It is therefore necessary to prioritize and rank these alarms, so as to take timely actions that maintain the service level agreements for the data center. Existing techniques for such ranking are ad-hoc and not scalable. We propose ranking windows of monitored metrics based on their probability of occurrence. We explain how these probabilities can be computed based either on the false positive rates for which the accompanying anomaly detectors were designed, or, when available, on the probability models underlying the false positive rates. In the simplest case, the ranking procedure reduces to computing the Z-score of the observed measurements and computing a statistic from a window of Z-scores to use as a basis for ranking. The proposed techniques are reliable, lightweight and easy to deploy in the modern data center. We have validated these techniques on synthetic data containing injected anomalies and on data acquired from production data centers.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116117635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 27

Privileged identity management in enterprise service-hosting environments 企业服务托管环境中的特权身份管理

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211991

K. Bhaskaran, Milton Hernandez, Jim Laredo, Laura Z. Luan, Yaoping Ruan, M. Vukovic, Paul Driscoll, Daniel Miller, Alan Skinner, Girish Verma, P. Vivekanandan, Leanne Chen, Gregory Gaskill

引用次数: 7

Prediction of failure occurrence time based on system log message pattern learning 基于系统日志消息模式学习的故障发生时间预测

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211960

Masataka Sonoda, Yukihiro Watanabe, Y. Matsumoto

引用次数: 9

Characterizing dissemination of illegal copies of content through monitoring of BitTorrent networks 通过监控bt网络来描述非法拷贝内容的传播特征

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211915

Adler Hoff Schmidt, Rodolfo Stoffel Antunes, M. Barcellos, L. Gaspary

{"title":"Characterizing dissemination of illegal copies of content through monitoring of BitTorrent networks","authors":"Adler Hoff Schmidt, Rodolfo Stoffel Antunes, M. Barcellos, L. Gaspary","doi":"10.1109/NOMS.2012.6211915","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211915","url":null,"abstract":"BitTorrent networks are nowadays the most employed method of Peer-to-Peer (P2P) file sharing in the Internet. Recent monitoring reports reveal that content copies being shared are mostly illegal and movies are the most popular media type. Research efforts carried out to understand the dynamics of content production and sharing in BT networks have been unable to provide precise information regarding the dissemination of illegal copies. In this paper we perform an extensive experimental study in order to characterize the behavior of producers, publishers and providers of copyright-infringing files. The study is based on four months of traces obtained by monitoring swarms sharing movies via one of the most popular BT public communities. Traces were obtained with an extension of a BitTorrent “universe” observation architecture, which allowed the collection of a database with information about more than 40,000 torrents, 900 trackers and 1.3 million IPs. Our analysis not only shows that a small group of active users is responsible for the majority of disseminated illegal copies, as well as unravels existing relationships among these actors.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121617727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

An energy-efficient data storage scheme in wireless sensor networks 一种无线传感器网络中节能的数据存储方案

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211935

Wen-Hwa Liao, Hung-Chun Yang

引用次数: 4

Rethinking network management: Models, data-mining and self-learning 重新思考网络管理:模型、数据挖掘和自我学习

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6212003

Stefan Wallin, C. Åhlund, J. Nordlander

引用次数: 6

A Future Internet architecture supporting multipath communication networks 支持多路径通信网络的未来Internet架构

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211975

M. Becke, T. Dreibholz, Hakim Adhari, E. Rathgeb

引用次数: 7

Aggregation-based spectrum allocation algorithm in cognitive radio networks 认知无线电网络中基于聚合的频谱分配算法

2012 IEEE Network Operations and Management Symposium Pub Date : 2012-04-16 DOI: 10.1109/NOMS.2012.6211942

Yun Li, Lili Zhao, Chonggang Wang, A. Daneshmand, Qin Hu

引用次数: 21