This paper presents the design of a next generation network traffic monitoring and analysis system, called NG-MON (Next Generation MONitoring), for high-speed networks such as 10 Gbps and above. Packet capturing and analysis on such high-speed networks is very difficult using traditional approaches. Using distributed, pipelining and parallel processing techniques, we have designed a flexible and scalable monitoring and analysis system, which can run on off-the-shelf, cost-effective computers. The monitoring and analysis task in NG-MON is divided into five phases; packet capture, flow generation, flow store, traffic analysis, and presentation. Each phase can be executed on separate computer systems and cooperates with adjacent phases using pipeline processing. Each phase can be composed of a cluster of computers wherever the system load of the phase is higher than the performance of a single computer system. We have defined efficient communication methods and message formats between phases. Numerical analysis results of our design for 10 Gbps networks are also provided. 1 The authors would like to thank the Ministry of Education of Korea for its financial support toward the Electrical and Computer Engineering Division at POSTECH through its BK21 program.

The research objective of our work is to develop a SNMP MIB to XML translation algorithm and to implement an SNMP-XML gateway using this algorithm. The gateway is used to transfer management information between an XML-based manager and SNMP-based agents. SNMP is widely used for Internet management, but SNMP is insufficient to manage continuously expanding networks because of constraints in scalability and efficiency. XML-based network management architectures are newly proposed as alternatives to SNMP-based network management, but the XML-based Network Management System (XML-based NMS) cannot directly manage legacy SNMP agents. We also implemented an automatic specification translator (SNMP MIB to XML Translator) and an SNMP-XML gateway.

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Abstract. Mobility management has become an important issue in 4G networks due to the integration of multiple network access technologies. Traditionally, only the received signal strength has been considered for the vertical handover. However, more considerations will be necessary to satisfy the end user's preferences. In this paper, we propose an Autonomic Handover Manager (AHM) based on the autonomic computing concept to decide the best network interface to handover in 4G networks. AHM decides the appropriate policy for the specific service or application without the user's intervention using the context information from the mobile terminal, the network and the user. We present the context information and the context evaluation function to decide handover based on the user preferences. We then describe the scenario to validate its feasibility using multimedia conferencing service on the mobile terminal.

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Summary Topology discovery is a prerequisite when investigating the network properties; with the enormous number of Bitcoin users and performance issues, it becomes critical to analyse the network in a fashion that makes it possible to detect all Bitcoin's nodes and understand their behaviour. In massive, dynamic, and distributed peer‐to‐peer (P2P) networks like Bitcoin, where thousands of updates occur per second, it is hard to obtain an accurate topology representing the structure of the network as a graph with nodes and links by using the traditional local measurement approaches based on batches, offline data, or on the discovery of the topology around a small set of nodes and then combine them to discover an approximate network topology. All of which present some limitation when applying them on blockchain‐based networks. In this paper, we propose a topology discovery system that performs a real‐time data collection and analysis for Bitcoin P2P links, which assembles incoming nodes information for deeper graph analysis processing. The topology discovery system allows us to gain knowledge on the Bitcoin network size, the network stability in terms of reachable, churn, and well‐connected nodes, as well as some data regarding the effects of some countries' Internet infrastructure on Bitcoin traffic.

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XML-based network management has been proposed as an alternative or to complement SNMPbased network management. But the XML-based network management does not yet provide a method to manage networks equipped with legacy SNMP agents in the integrated management system. This integrated manage ment system must include an XML/SNMP gateway, which translates and relays messages between the XML -based manager and the SNMP agent. The gateway must provide both specification translation and interaction translation between the two management applications. In this paper, we propose three methods for interaction translation in the gateway. First, we propose a DOM-based translation, which provides a method for XML-based manager to directly access management information through the standard DOM interfaces. Second, we propose a URI extension based translation using XPath and XQuery, which provides a method to define detailed request message for XML/HTTP communication. Finally, we apply the SOAP, which is accepted as a standard protocol for XML, and propose a translation method for the gateway to advertise the translation services to the manager using the SOAP RPC. We also compare the advantages and disadvantages of the proposed translation methods.