Physics searches at the LHC

With the LHC up and running, the focus of experimental and theoretical high energy physics will soon turn to an interpretation of LHC data in terms of the physics of electroweak symmetry breaking and the TeV scale. We present here a broad review of models for new TeV-scale physics and their LHC signatures. In addition, we discuss possible new physics signatures and describe how they can be linked to specific models of physics beyond the Standard Model. Finally, we illustrate how the LHC era could culminate in a detailed understanding of the underlying principles of TeV-scale physics.Comment: 184 pages, 55 figures, 14 tables, hundreds of references; scientific feedback is welcome and encouraged. v2: text, references and Overview Table added; feedback still welcom

Scalable Service Chaining in MEC-Assisted 5G Networks

This paper focuses on a Mobile Edge Cloud (MEC)-Assisted 5G network architecture in which an optical transport network is used to interconnect MEC servers processing low layer functions and Central Cloud servers processing upper layer functions of the LTE protocol stack. Traditionally, the problem of Based Band Unit (BBU) function assignment in cloud environments has been addressed through Integer Linear Programming (ILP) formulations having the disadvantage of increased computational complexity. To address this issue, we initially propose a relaxation framework that reduces computational complexity. To further accelerate convergence, the proposed relaxation algorithm is coupled with Hierarchical Random Graph (HRG) theory. Taking advantage of the hierarchical structure of the 5G communication and compute infrastructure, HRG theory can be employed to generate simple tree topologies that reflect the statistical properties of the originally complex 5G infrastructure. Numerical results indicate that the proposed approach outperforms traditional centralized C-RAN schemes with much faster convergence times. © 1983-2012 IEEE

Converged optical, wireless, and data center network infrastructures for 5G services

This paper focuses on converged access/metro infrastructures for 5G services, proposing a common transport network integrating wireless and optical network segments with compute/storage domains. To identify the optimal mix of transport network technologies (optical/ wireless) and processing modules that are required to support 5G services in a cost- and energy-efficient manner, a two-stage optimization framework is proposed. In the first stage, a multi-objective optimization scheme, focusing on the transport network segment, tries to jointly minimize the capital expenditure of the converged 5G network. This is performed through the identification of the optimal mix of wireless and optical transport network technologies. The second stage focuses on the compute network segment and aims at identifying suitable processing modules to which operational 5G services need to be allocated. The performance of the proposed approach is examined using realistic traffic statistics for various network technology choices including mmWave and passive optical networks (PONs) for transport, fixed, and elastic grid optical networks across a city-wide topology in Bristol, UK. © 2009-2012 OSA

Overzichtskaart van Java en Madoera [cartographic material].

Maps series of Java and Madura showing residency, plantation and estate boundaries, transportation, water features and populated places. Relief shown by contours, hypsometric tints and spot heights.; Map in Dutch.; Includes lists of estates and plantations and private landed estates, index of adjoining sheets, list of residencies and an administrative division diagram.; Some sheets reproduced in 1940 without full colouring as uncorrected emergency editions: "Ongecorrigeerde spoeddruk 1940"

Virtual infrastructure planning: the GEYSERS approach

The new and emerging IT services require very high network capacities and specific IT resources that cannot be intrinsically delivered by the current Best Effort Internet. In response to this the European project GEYSERS (Generalised Architecture for Dynamic Infrastructure Services) is proposing a novel architecture that employs optical networking, capable of provisioning "Optical Network and IT resources" for end-to-end service delivery. GEYSERS adopts the Infrastructure as a Service framework and the Service-Oriented Networking paradigm and proposes an architecture that enables infrastructure operators to virtualize their infrastructures (optical network and IT resources) and offer them as a service based on the user/application requirements. This paper provides an overview of the GEYSERS approach regarding virtualization of infrastructures comprising optical network and IT resources. Special emphasis is given in the description of the Logical Composition Layer of the architecture that is responsible for both the creation and maintenance of virtual resources and the virtual infrastructures. An important function of the Logical Composition Layer is the virtual infrastructure planning process discussed in detail. An optimization scheme suitable to adaptively plan and re-plan virtual infrastructures employing evolutionary game theory is presented and compared to conventional centralized approaches. Our evolutionary game theory modelling results clearly indicate, that given sufficient time to learn the status of the underlying physical topology the virtual infrastructures planned have similar performance to those generated through traditional global optimization approaches such as integer linear programming