True, false, paranormal, and 'designated'? : a reply to Jenkins

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Parallel and distributed processing in high speed traffic monitoring

This thesis presents a parallel and distributed approach for the purpose of processing network traffic at high speeds. The proposed architecture provides the processing power required to run one or more traffic processing applications at line rates by means of processing full packets at multi-gigabits speeds using a parallel and distributed processing environment. Moreover, the architecture is flexible and scalable to future needs by supporting heterogeneous processing nodes such as different hardware architectures or different generations of the same hardware architecture. In addition to the processing, flexibility, and scalability features, our architecture provides an easy-to-use environment with the help of a new programming language, called FPL, for traffic processing in a distributed environment. The language and its compiler come to hide specific programming details when using heterogeneous systems and a distributed environment.UBL - phd migration 201

Supporting communities in programmable grid networks: gTBN

Abstract—This paper presents the generalised Token Based Networking (gTBN) architecture, which enables dynamic binding of communities and their applications to specialised network services. gTBN uses protocol independent tokens to provide decoupling of authorisation from time of usage as well as identification of network traffic. The tokenised traffic allows specialised software components uploaded into network elements to execute services specific to communities. A reference implementation of gTBN over IPv4 is proposed as well as the presentation of our experiments. These experiments include validation tests of our test bed with common grid applications such as GridFTP, OpenMPI, and VLC. In addition, we present a firewalling use case based on gTBN

On Effective Graphene Based Computing

With CMOS feature size heading towards atomic dimensions, unjustifiable static power, reliability, and economic implications are exacerbating, prompting for research on new materials, devices, and/or computation paradigms. Within this context, Graphene Nanoribbons (GNRs), owing to graphene's excellent electronic properties, may serve as basic blocks for carbon-based nanoelectronics. In this paper, we present the two main avenues, i.e., graphene FET- and GNR- based, undertaken towards graphene based computing. The first approach is conservative and focuses on the realization of graphene FET transistor based switches as MOSFET replacements to maintain the state of the art logic Boolean algebra paradigm design methodology. The second one follows a different line of thinking and seeks GNR-based structures able to provide more complex behaviours by making better use of graphene's conduction properties. We first discuss Graphene Nanoribbon (GNR) based field Effect Transistors (GNRFETs) and Tunnelling GNR based Transistors (GNRTFETs) and their utilization as underlying elements for Boolean gate implementations. Subsequently, we present GNR-based structures that can directly compute Boolean functions, e.g., NAND, XOR, by means of one GNR only and a way to complementary arrange them in energy effective gates. To get inside into the potential of the two avenues we consider an inverter as discussion vehicle and evaluate the designs in terms of area and energy consumption. The GNR-based structure outperforms its counterparts by 15× up to 104× and 230× smaller delay and 6 to 7 and 4 orders of magnitude smaller power than the GNRFET-and GNRTFET- based designs, respectively. Moreover, when compared with CMOS 7 nm Boolean gates GNR-based desgns exhibit up to 6× smaller delay, and up to 2 orders of magnitude smaller active area, and total power consumption. Our analysis confirms that the alternative GNR-based design paradigm, which transcends the traditional switch based approach and takes better advantage of graphene intrinsicnproperties, is better suited for future carbon based nanoelectronics.</p