140,076 research outputs found

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

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    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 Globus¼ 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

    Performance Analysis of Network Emulator Based on the Use Of Resources in Virtual Laboratory

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    A network emulator is a software in its environment mimicking the functions and habits of the original network. Problems often encountered in doing research on computer networks is a problem of design and trial scenarios that require software and hardware enough to implement such a network  scenario  similar  to  a  real  scenario.  Using  virtual machine technology is expected to solve the problem. Netkit supports experiments with various network technologies and can support other technologies necessary for certain network experiments. This study uses a network emulator with netkit, where it is freely available and built based on Linux User Mode. Netkit  allows  users  to  experiment  with  complex   computer network scenarios that can be easily implemented using linux. The experimental research is done by making the design first. The design is used to implement the routing process, to connect 4 different network addresses. On the Netkit implementation of the design, it is implemented by creating a virtual routing lab based on   data   from   computer   network   topologies.   The   virtual laboratory implementation of this research routing is based on a network topology scenario. The results of these virtual routing lab experiments, the routing process runs well on the network based on predetermined test scenarios, with the occurrence of connections between different network addresses..In the end the virtual routing lab implementation works well, with performance analysis results from the netkit emulator on the use of computer resources showing Usage CPU usage of 0% and Memory Usage averaging 20942.8k test time for 12 minutes. The results of this trial is very helpful for administrators before the implementation on the real networ

    A Web-Based Distributed Virtual Educational Laboratory

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    Evolution and cost of measurement equipment, continuous training, and distance learning make it difficult to provide a complete set of updated workbenches to every student. For a preliminary familiarization and experimentation with instrumentation and measurement procedures, the use of virtual equipment is often considered more than sufficient from the didactic point of view, while the hands-on approach with real instrumentation and measurement systems still remains necessary to complete and refine the student's practical expertise. Creation and distribution of workbenches in networked computer laboratories therefore becomes attractive and convenient. This paper describes specification and design of a geographically distributed system based on commercially standard components

    Using RDF to Model the Structure and Process of Systems

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    Many systems can be described in terms of networks of discrete elements and their various relationships to one another. A semantic network, or multi-relational network, is a directed labeled graph consisting of a heterogeneous set of entities connected by a heterogeneous set of relationships. Semantic networks serve as a promising general-purpose modeling substrate for complex systems. Various standardized formats and tools are now available to support practical, large-scale semantic network models. First, the Resource Description Framework (RDF) offers a standardized semantic network data model that can be further formalized by ontology modeling languages such as RDF Schema (RDFS) and the Web Ontology Language (OWL). Second, the recent introduction of highly performant triple-stores (i.e. semantic network databases) allows semantic network models on the order of 10910^9 edges to be efficiently stored and manipulated. RDF and its related technologies are currently used extensively in the domains of computer science, digital library science, and the biological sciences. This article will provide an introduction to RDF/RDFS/OWL and an examination of its suitability to model discrete element complex systems.Comment: International Conference on Complex Systems, Boston MA, October 200
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