{"title":"Dynamic exposure control in P2PSIP networks","authors":"O. Dabbebi, Rémi Badonnel, O. Festor","doi":"10.1109/NOMS.2012.6211907","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211907","url":null,"abstract":"Voice over IP services have undergone a large-scale deployment thanks to the development of high-speed broadband access and the standardization of dedicated signaling protocols. They offer new opportunities, in particular in the context of peer-to-peer networks. However they are exposed to multiple security attacks due to a lower confinement in comparison to traditional networks. Protection mechanisms are available, but may significantly impact the service performance. We propose in this paper a risk management strategy for dynamically adapting the exposure of P2PSIP networks. We describe the underlying mechanisms for mitigating risks based on a portfolio of countermeasures. We also detail the mathematical modeling which supports our solution based on the analysis of a case study. Finally we quantify the benefits and limits of this approach through an extensive set of experiments performed with the OMNET++ simulator.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"25 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":"127706764","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}
Yeongrak Choi, J. Chung, Byungchul Park, J. W. Hong
{"title":"Automated classifier generation for application-level mobile traffic identification","authors":"Yeongrak Choi, J. Chung, Byungchul Park, J. W. Hong","doi":"10.1109/NOMS.2012.6212032","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6212032","url":null,"abstract":"This paper proposes an automated classifier generation system for application-level mobile traffic identification. The proposed system comprises traffic classifier generation system architecture and mobile traffic measurement agents (mTMAs) that are installed on mobile devices to monitor their application-level traffic. To generate classifiers, our adaptive algorithm selects the lowest cost classifiers from among the available classifier candidates, while assuring acceptable identification accuracy. To verify the efficacy of the proposed identification system, we implemented and deployed it on a campus network. The results of mobile application traffic identification obtained using the system in this deployment are also presented in this paper.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"218 3 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":"127327084","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}
Frédéric François, Ning Wang, K. Moessner, S. Georgoulas
{"title":"Optimization for time-driven link sleeping reconfigurations in ISP backbone networks","authors":"Frédéric François, Ning Wang, K. Moessner, S. Georgoulas","doi":"10.1109/NOMS.2012.6211902","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211902","url":null,"abstract":"Backbone network energy efficiency has recently become a primary concern for Internet Service Providers and regulators. The common solutions for energy conservation in such an environment include sleep mode reconfigurations and rate adaptation at network devices when the traffic volume is low. It has been observed that many ISP networks exhibit regular traffic dynamicity patterns which can be exploited for practical time-driven link sleeping configurations. In this work, we propose a joint optimization algorithm to compute the reduced network topology and its actual configuration duration during daily operations. The main idea is first to intelligently remove network links using a greedy heuristic, without causing network congestion during off-peak time. Following that, a robust algorithm is applied to determine the window size of the configuration duration of the reduced topology, making sure that a unified configuration with optimized energy efficiency performance can be enforced exactly at the same time period on a daily basis. Our algorithm was evaluated using on a Point-of-Presence representation of the GÉANT network and its real traffic matrices. According to our simulation results, the reduced network topology obtained is able to achieve 18.6% energy reduction during that period without causing significant network performance deterioration. The contribution from this work is a practical but efficient approach for energy savings in ISP networks, which can be directly deployed on legacy routing platforms without requiring any protocol extension.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"1 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":"130428175","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}
{"title":"SAAM: A self-adaptive aggregation mechanism for autonomous management systems","authors":"R. Makhloufi, G. Doyen, Grégory Bonnet, D. Gaïti","doi":"10.1109/NOMS.2012.6211982","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211982","url":null,"abstract":"In this paper, we propose a decentralized Self-Adaptive Aggregation Mechanism (SAAM) that adapts itself to the supporting network operational behavior by dynamically selecting the best aggregation approach to use. SAAM is based on (1) a fuzzy-based model that estimates the cost and performance of each aggregation scheme and (2) Multiple Attribute Decision Making (MADM) to make decisions on the best approach to use in this context. We validate SAAM by evaluating its fuzzy model and adaptation cost, and by comparing its utility to the one of existing situated and global schemes.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"58 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":"128469832","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}
{"title":"Towards modeling effect of packet-level TCP dynamics on Internet operations and management","authors":"V. Marbukh","doi":"10.1109/NOMS.2012.6211933","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211933","url":null,"abstract":"This paper reports on work in progress on modeling of the effect of packet-level TCP congestion avoidance dynamics on flow-level Internet performance and management including buffer sizing under arriving/departing flows. The proposed model accounts for the packet-level TCP burstiness due to congestion avoidance dynamics by incorporating the entire effective bandwidth of TCP-controlled traffic as opposed to the conventional model which accounts for the average TCP rate only. In particular, we demonstrate that conventional Markov model of Internet performance is applicable only in a case of sufficiently heavy average load corresponding to long flow-level queues and file transfer times. In a case of lighter average load the conventional Markov performance model significantly underestimates flow-level queues and file transfer times, and surprisingly a simpler mean-field performance model may be more accurate. While increasing buffer sizes causes proportional increase in the worst-case packet-level delays, the positive effect on the average capacity utilization and flow-level performance may be muted due to increase in the TCP burstiness. These conclusions may explain and quantify observed self-similarity of TCP traffic, and have important implications for the Internet design, operations, and management.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"51 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":"133113563","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}
E. Kissel, Ahmed El-Hassany, Guilherme Fernandes, D. M. Swany, D. Gunter, T. Samak, J. Schopf
{"title":"Scalable integrated performance analysis of multi-gigabit networks","authors":"E. Kissel, Ahmed El-Hassany, Guilherme Fernandes, D. M. Swany, D. Gunter, T. Samak, J. Schopf","doi":"10.1109/NOMS.2012.6212056","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6212056","url":null,"abstract":"Monitoring and managing multi-gigabit networks requires dynamic adaptation to end-to-end performance characteristics. This paper presents a measurement collection and analysis framework that automates the troubleshooting of end-to-end network bottlenecks. We integrate real-time host, application, and network measurements with a common representation (compatible with perfSONAR) within a flexible and scalable architecture. Our measurement architecture is supported by a light-weight eXtensible Session Protocol (XSP), which enables context-sensitive adaptive measurement collection. We evaluate the ability of our system to analyze and detect bottleneck conditions over a series of high-speed and I/O intensive bulk data transfer experiments and find that the overhead of the system is very low and that we are able to detect and understand a variety of bottlenecks.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"18 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":"132047308","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}
{"title":"Adaptive multiuser detection in DS/CDMA systems using generalized regression neural network","authors":"Mohsen Rajabpour, F. Razzazi, H. Bakhshi","doi":"10.1109/NOMS.2012.6211931","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211931","url":null,"abstract":"Artificial neural networks are extremely used for detection of spread-spectrum signals in multiple-access environments. In this paper we suggest the use of generalized regression neural networks (GRNN) on multiuser detectors in DS/CDMA systems. The network is trained by applying the estimated joint probability density function. After training, the network can obtain the required timing without knowing the signature waveforms and the received signal amplitudes. The simulation results demonstrate that the proposed receiver has higher performance in comparison to detectors which have more knowledge of system parameters.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"41 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":"123934604","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}
{"title":"An approach to consolidate and optimize monitoring solutions","authors":"Christian Richter, T. Schaaf","doi":"10.1109/NOMS.2012.6212075","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6212075","url":null,"abstract":"Like most IT service providers, the Leibniz Supercomputing Centre (LRZ) is facing the challenge of managing complex monitoring solutions, consisting of various tools offering monitoring capabilities for the different systems and applications in support of the services provided. Monitoring encompasses a wide range of functional aspects, and therefore it is hardly possible to significantly reduce the portfolio and number of tools. High administration effort and expensive licensing are typical consequences. This short paper introduces a systematic and holistic approach that shall help an IT service provider to analyze their entire monitoring environment. Further, this method provides guidance on how to consolidate the tool landscape and optimize tool support for IT Service Management (ITSM) processes.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"6 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":"121210540","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}
Sinem Güven, Catalin-Mihai Barbu, D. Husemann, Dorothea Wiesmann
{"title":"Change Risk Expert: Leveraging advanced classification and risk management techniques for systematic change failure reduction","authors":"Sinem Güven, Catalin-Mihai Barbu, D. Husemann, Dorothea Wiesmann","doi":"10.1109/NOMS.2012.6211995","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211995","url":null,"abstract":"This application track paper describes the Change Risk Expert (CRE) tool, which is designed to help reduce change failure rates. CRE assists Change Requesters to adequately plan changes by semi- automatically classifying change tickets, by informing about past failure rates and reasons, by systematically managing change risks, and by providing standard change implementation plans.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"6 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":"129081757","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}
{"title":"Management by network search","authors":"Misbah Uddin, R. Stadler, A. Clemm","doi":"10.1109/NOMS.2012.6211893","DOIUrl":"https://doi.org/10.1109/NOMS.2012.6211893","url":null,"abstract":"While networked systems hold and generate vast amounts of configuration and operational data, this data is not accessible through a simple, uniform mechanism. Rather, it must be gathered using a range of different protocols and interfaces. Our vision is to make all this data available in a simple format through a realtime search process which runs within the network and aggregates the data into a form needed by applications - a concept we call network search. We believe that such an approach, though challenging, is technically feasible and will enable rapid development of new management applications and advanced network functions. This paper motivates and formulates the concept of network search, compares it to related concepts like web search, outlines a search architecture, describes the design space and research challenges, and reports on a testbed implementation with management applications built for exploratory purposes of this new paradigm.","PeriodicalId":364494,"journal":{"name":"2012 IEEE Network Operations and Management Symposium","volume":"9 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":"117075151","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}