2017 International Conference on Computing, Networking and Communications (ICNC)最新文献_第8页

An efficient approach to prevent Battery Exhaustion Attack on BLE-based mesh networks 一种有效防止基于ble的网状网络电池耗尽攻击的方法

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876092

Zonglin Guo, I. Harris, Yutong Jiang, L. Tsaur

引用次数: 20

Optical circuit granularity impact in TCP-dominant hybrid data center networks tcp主导混合数据中心网络中光电路粒度的影响

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876147

H. Rastegarfar, Kamran Keykhosravi, K. Szczerba, E. Agrell, L. LaComb, M. Glick

{"title":"Optical circuit granularity impact in TCP-dominant hybrid data center networks","authors":"H. Rastegarfar, Kamran Keykhosravi, K. Szczerba, E. Agrell, L. LaComb, M. Glick","doi":"10.1109/ICCNC.2017.7876147","DOIUrl":"https://doi.org/10.1109/ICCNC.2017.7876147","url":null,"abstract":"Hybrid networking, based on electronic packet switching and optical circuit switching, has been proposed to resolve the existing switching bottlenecks in data centers in an energy-efficient and cost-effective fashion. We consider the problem of resource provisioning in hybrid data centers in terms of optical circuit switching capacity and granularity. The number of fibers connected to server racks, the number of wavelengths per fiber, and the ratio of capacity provided by the optical circuit-switched portion of the network to that of the electronic packet-switched portion are crucial design parameters to be optimized during the data center planning phase. These parameters in conjunction with the additive-increase, multiplicative-decrease (AIMD) congestion control mechanism of the Transmission Control Protocol (TCP) pose a significant impact on data center network performance. In this paper, we examine the combined impact of optical bandwidth settings and TCP dynamics using event-driven simulations. Our analysis reveals the strong dependence of overall network throughput on channel capacity (i.e., the bit rate per wavelength channel) and points to the advantages of optical bandwidth consolidation employing higher-order modulation formats.","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125348573","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: 2

Entropy-based network anomaly Detection 基于熵的网络异常检测

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876150

C. Callegari, S. Giordano, M. Pagano

引用次数: 40

Energy-efficient sparse routing protocol for Delay Tolerant Networks 时延容忍网络的节能稀疏路由协议

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876234

Max Hastings, Shuhui Yang

引用次数: 1

Set reconciliation with an inaccurate oracle 设置与不准确的oracle对账

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876279

Mark Bilinski, Ryan Gabrys

引用次数: 0

Performance of route partitioning scheme for hitless defragmentation in elastic optical networks 弹性光网络中用于无命中碎片整理的路由分割方案的性能

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876160

Seydou Ba, Bijoy Chand Chatterjee, E. Oki

引用次数: 3

PON bandwidth resource sharing schemes in a multi-operator scenario 多运营商场景下的PON带宽资源共享方案

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876161

Chengjun Li, W. Guo, Wei Wang, Weisheng Hu, Ming Xia

引用次数: 3

An Intrinsic Mode Function based energy detector for spectrum sensing in cognitive radio 基于本征模函数的认知无线电频谱感知能量检测器

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876115

Mahdi H. Al-Badrawi, N. Kirsch, Bessam Z. Al-Jewad

引用次数: 1

Enabling proactive self-healing by data mining network failure logs 通过数据挖掘网络故障日志实现主动自我修复

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876181

U. Hashmi, Arsalan Darbandi, A. Imran

{"title":"Enabling proactive self-healing by data mining network failure logs","authors":"U. Hashmi, Arsalan Darbandi, A. Imran","doi":"10.1109/ICCNC.2017.7876181","DOIUrl":"https://doi.org/10.1109/ICCNC.2017.7876181","url":null,"abstract":"Self-healing is a key desirable feature in emerging communication networks. While legacy self-healing mechanisms that are reactive in nature can minimize recovery time substantially, the recently conceived extremely low latency and high Quality of Experience (QoE) requirements call for self-healing mechanisms that are pro-active instead of reactive thereby enabling minimal recovery times. A corner stone in enabling proactive self-healing is predictive analytics of historical network failure logs (NFL). In current networks NFL data remains mostly dark, i.e., though they are stored but they are not exploited to their full potential. In this paper, we present a case study that investigates spatio-temporal trends in a large NFL database of a nationwide broadband operator. To discover hidden patterns in the data we leverage five different unsupervised pattern recognition and clustering along with density based outlier detection techniques namely: K-means clustering, Fuzzy C-means clustering, Local Outlier Factor, Local Outlier Probabilities and Kohonen's Self Organizing Maps. Results indicate that self-organizing maps with local outlier probabilities outperform K-means and Fuzzy C-means clustering in terms of sum of squared errors (SSE) and Davis Boulden index (DBI) values. Through an extensive data analysis leveraging a rich combination of the aforementioned techniques, we extract trends that can enable the operator to proactively tackle similar faults in future and improve QoE and recovery times and minimize operational costs, thereby paving the way towards proactive self-healing.","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125241841","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: 20

Relation discovery of mobile network alarms with sequential pattern mining 基于顺序模式挖掘的移动网络报警关系发现

2017 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 1900-01-01 DOI: 10.1109/ICCNC.2017.7876155

Mihaela Lozonavu, Martha Vlachou-Konchylaki, Vincent A. Huang

{"title":"Relation discovery of mobile network alarms with sequential pattern mining","authors":"Mihaela Lozonavu, Martha Vlachou-Konchylaki, Vincent A. Huang","doi":"10.1109/ICCNC.2017.7876155","DOIUrl":"https://doi.org/10.1109/ICCNC.2017.7876155","url":null,"abstract":"In telecommunication network systems, there are a large number of interconnected components which also contain many subcomponents. Heavy rain, thunder or other factors can cause mal-function of the components or disconnections between the components which trigger alarms. Because of the interconnection of elements, triggered alarms may propagate to other components. This creates harsh challenges to network operators when it comes to root cause analysis. We address this issue by proposing a method on utilizing network alarms for automatic relation discovery between network nodes. By understanding how network elements or network problems are related to each other, a network operator can easily correlate the alarm events and treat clustered groups of alarms instead of specific events. In this study, we use the temporal and spatial aspects of alarm events to cluster network elements. Our results demonstrate that by analyzing the network alarms, a relationship graph showing the connections between different network elements and network problems can be automatically generated. Such relationship graphs can help network operators mining node dependencies and discovering insights within their network.","PeriodicalId":135028,"journal":{"name":"2017 International Conference on Computing, Networking and Communications (ICNC)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121813809","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: 11