Network Management Traffic Optimization

Abstract -Network Management Systems (NMS) are of paramount importance to manage large and complex telecom networks from a central place. To provide interoperability, these NMS systems are usually based on standards. Simple Network Management Protocol (SNMP) is the most widely deployed management standard. SNMP is simple but has limitations in terms of bandwidth overheads. High object identifier (OID) overhead, single request single response, no filtering capability are the typical limitations of SNMP which make the response time of a poll request high, especially over a low speed network. In this work, we propose a few extensions to SNMP to optimize the traffic and response time with minimal changes in the managed devices. From the implementation and experiments carried on corDECT networks, we show that there is considerable reduction in bandwidth requirements and response time for the management operations especially over dialup and low speed links

Simple network management protocol co- existence with hydrocarbon process automation communication real-time network

Hydrocarbon Process Automation Applications (HPAA) utilizes Real-time network connecting process instrumentations, controllers, and real-time logic control applications. Conventional practice is to dedicate a real-time network for process automation applications and prevent other applications from utilizing the same infrastructure. An important application that can help optimize, improve network performance, and provide rapid response time in network diagnostics and mitigation is Simple Network Management Protocol (SNMP). This paper addresses the co-existence of SNMP traffic with real-time applications. The impacts of activating this protocol with the real-time HPAA utilizing high speed Ethernet network design will be examined. Empirical data for an implemented Hydrocarbon process automation system will be used to illustrate the interdependency of application performance, traffic mix, and potential areas of improvements. The outcomes of this effort demonstrate the co-existence of SNMP with HPPA, given special considerations (i.e., bandwidth, number of applications, etc.)

Performance of Network and Service Monitoring Frameworks

The efficiency and the performance of anagement systems is becoming a hot research topic within the networks and services management community. This concern is due to the new challenges of large scale managed systems, where the management plane is integrated within the functional plane and where management activities have to carry accurate and up-to-date information. We defined a set of primary and secondary metrics to measure the performance of a management approach. Secondary metrics are derived from the primary ones and quantifies mainly the efficiency, the scalability and the impact of management activities. To validate our proposals, we have designed and developed a benchmarking platform dedicated to the measurement of the performance of a JMX manager-agent based management system. The second part of our work deals with the collection of measurement data sets from our JMX benchmarking platform. We mainly studied the effect of both load and the number of agents on the scalability, the impact of management activities on the user perceived performance of a managed server and the delays of JMX operations when carrying variables values. Our findings show that most of these delays follow a Weibull statistical distribution. We used this statistical model to study the behavior of a monitoring algorithm proposed in the literature, under heavy tail delays distribution. In this case, the view of the managed system on the manager side becomes noisy and out of date

Big Data and Analysis of Data Transfers for International Research Networks Using NetSage

Modern science is increasingly data-driven and collaborative in nature. Many scientific disciplines, including genomics, high-energy physics, astronomy, and atmospheric science, produce petabytes of data that must be shared with collaborators all over the world. The National Science Foundation-supported International Research Network Connection (IRNC) links have been essential to enabling this collaboration, but as data sharing has increased, so has the amount of information being collected to understand network performance. New capabilities to measure and analyze the performance of international wide-area networks are essential to ensure end-users are able to take full advantage of such infrastructure for their big data applications. NetSage is a project to develop a unified, open, privacy-aware network measurement, and visualization service to address the needs of monitoring today's high-speed international research networks. NetSage collects data on both backbone links and exchange points, which can be as much as 1Tb per month. This puts a significant strain on hardware, not only in terms storage needs to hold multi-year historical data, but also in terms of processor and memory needs to analyze the data to understand network behaviors. This paper addresses the basic NetSage architecture, its current data collection and archiving approach, and details the constraints of dealing with this big data problem of handling vast amounts of monitoring data, while providing useful, extensible visualization to end users

Deliverable DJRA1.3: Tool prototype for creating and stitching multiple network resources for virtual infrastructures

This document describes the prototype FEDERICA Slice Tool developed for the virtualization of network elements in FEDERICA and for creating and stitching network resources over this virtual infrastructure. An SNMP-based resource discovery prototype is also introduced as a new functionality to be integrated in the tool.The deliverable also presents aviability study for the use of traffic prioritization in the FEDERICA infrastructure and some network performance measurements on a real slice within FEDERICA.This document reports the final results of JRA1.2 Activity in the development of a tool prototype for creating sets ofvirtual resourcesinFEDERICA.The prototype goal is to simplify and automate part of the work for NOC.The tool may also serve,with different privileges, a FEDERICA user to operate on his/her slice. The tool described here was designed with the objective of providing an interactive application with a graphical interface to operate on resources for the NOC and the end users (researchers). The tool simplify the creation and configuration of resources in a slice and it is a mandatory step to ensure scalability of the NOC effort. It offers an interactive Graphical User Interface that translates the users’ actions to commands in the substrate (networknodesandV-nodes)andslice elements(VirtualMachines).User accounts may be created for the NOC and for researchers, each with specific privileges to enable different sets of capabilities. The NOC account has full access to all the resources in the substrate, while each user’account has full access only to the virtual resources in his/her slice. The tool has been developed using the Java programming language as Open Source code and relies on the open source Globus® Toolkit. Testing has been performed in a laboratory environment and on some FEDERICA substrate equipment (1switch, 2VMwareServers) in their standard configuration. For testing the router, web services and GUI an additional computer was used, using a public IP address.Postprint (published version

Increasing resilience of ATM networks using traffic monitoring and automated anomaly analysis

Systematic network monitoring can be the cornerstone for the dependable operation of safety-critical distributed systems. In this paper, we present our vision for informed anomaly detection through network monitoring and resilience measurements to increase the operators' visibility of ATM communication networks. We raise the question of how to determine the optimal level of automation in this safety-critical context, and we present a novel passive network monitoring system that can reveal network utilisation trends and traffic patterns in diverse timescales. Using network measurements, we derive resilience metrics and visualisations to enhance the operators' knowledge of the network and traffic behaviour, and allow for network planning and provisioning based on informed what-if analysis