2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

From the Publisher:
An agent is an entity with domain knowledge, goals and actions. Multi-agent systems are a set of agents which
interact in a common environment. Multi-agent systems deal with the construction of complex systems involving multiple agents and their coordination. A multi-agent system (MAS) is a distributed computing system with
autonomous interacting intelligent agents that coordinate their actions so as to achieve its goal(s) jointly or competitively.

Introduction to Multiagent Systems

Home PURPOSE OF THE CENTER: To develop the center to address state-of-the-art research, create innovating educational programs, and support technology transfers using commercially viable results to assist the Army Research Laboratory to develop the next generation Future Combat System in the telecommunications sector that assures prevention of perceived threats, and Non Line of Sight/Beyond Line of Sight lethal support.

How to… home page

Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the radio access network MEC offers storage and computational resources at the edge, reducing latency for mobile end users and utilizing more efficiently the mobile backhaul and core networks This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies It elaborates MEC orchestration considering both individual services and a network of MEC platforms supporting mobility, bringing light into the different orchestration deployment options In addition, this paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties Finally, this paper overviews the current standardization activities and elaborates further on open research challenges

/pdf/on-multi-access-edge-computing-a-survey-of-the-emerging-5g-q09cwte3qi.pdf

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

The technologies, architectures, and methodologies traditionally used to develop distributed applications exhibit a variety of limitations and drawbacks when applied to large scale distributed settings (e.g., the Internet). In particular, they fail in providing the desired degree of configurability, scalability, and customizability. To address these issues, researchers are investigating a variety of innovative approaches. The most promising and intriguing ones are those based on the ability of moving code across the nodes of a network, exploiting the notion of mobile code. As an emerging research field, code mobility is generating a growing body of scientific literature and industrial developments. Nevertheless, the field is still characterized by the lack of a sound and comprehensive body of concepts and terms. As a consequence, it is rather difficult to understand, assess, and compare the existing approaches. In turn, this limits our ability to fully exploit them in practice, and to further promote the research work on mobile code. Indeed, a significant symptom of this situation is the lack of a commonly accepted and sound definition of the term mobile code itself. This paper presents a conceptual framework for understanding code mobility. The framework is centered around a classification that introduces three dimensions: technologies, design paradigms, and applications. The contribution of the paper is two-fold. First, it provides a set of terms and concepts to understand and compare the approaches based on the notion of mobile code. Second, it introduces criteria and guidelines that support the developer in the identification of the classes of applications that can leverage off of mobile code, in the design of these applications, and, finally, in the selection of the most appropriate implementation technologies. The presentation of the classification is intertwined with a review of state-of-the-art in the field. Finally, the use of the classification is exemplified in a case study.

/pdf/understanding-code-mobility-1wdaf22ju4.pdf

Understanding code mobility

Publisher Summary This chapter presents an overview of current evolutions in both computer communications and telecommunications. It shows that because of the convergence of information technology, telecommunications, and entertainment, the range of technical options, regulatory regimes, and applications of telecommunications is increasing drastically. The network of the twenty-first century will provide information connectivity for the customer and not only physical transport connectivity because the economic value of generating, using, and selling information has grown significantly faster than traditional telecommunications products and services. Information and communication technologies are considered the driving forces for economic development. Based on emerging optical and radio network technologies, the vision for future telecommunication services is “information any time, any place, in any form.” This is supported for both fixed and mobile terminals. The prerequisite for this vision is global connectivity based on a fast-developing web of interconnected communication networks encircling the globe. Multimedia services and broadband communications, as well as mobile and universal personal telecommunications, require access that is more flexible, management and charging regimes than can be provided by current network infrastructures. The network operators need an infrastructure into which the services can be introduced easily, quickly, and smoothly. Software will play a major role in this. To reduce the costs associated with deploying and operating these networks, the portability of, the interoperability between and the reuse of software components is of prime importance. This has led to the development of information networking architectures, providing a service-independent and network technology independent platform for the provision and management of these advanced communication services. These platforms provide the necessary technological infrastructure to model and support the information flows of the information society, bridging the dimensions of space and time.

Open Service Platforms for the Information Society

With the high increase in the number of connected devices, the 6G network optimizations cannot rely only on protocols and architecture customizations as in 5G. Instead, a better approach, as described in this chapter, is to optimize the network through the definition of a data‐layer‐oriented network, which presumes the extraction of a large amount of data, its exchange across different elements, the generation of insight, and its immediate application as customized configurations across the system. Through this, a new type of network optimization is obtained based on behavior of the users instead of one of the systems complemented by a large level of native automation.

“One Layer to Rule Them All”: Data Layer‐oriented 6G Networks

This book constitutes the thoroughly refereed proceedings of the 5th International Conference on Mobile Wireless Middleware, Operating Systems, and Applications, Mobilware 2012, held in Berlin, Germany, in November 2012. The 18 revised full papers presented were carefully reviewed and selected from numerous contributions. The papers are organized in topical sections on Internet of things and mobile sensing, mobile middleware platforms, mobile networks, systems support for mobile applications, and context awareness.

Mobile Wireless Middleware, Operating Systems, and Applications: 5th International Conference, Mobilware 2012, Berlin, Germany, November 13-14, 2012

Provisioning of multimedia services over next generation network and across heterogeneous fixed and mobile networks challenges the developers to define a unified triple play framework solution. However the IP Multimedia Subsystem (IMS) defined by the 3rd Generation Partnership Projects (3GPP and 3GPP2) represents today a basis framework that enables the vision of providing triple play services with quality of service and mobility support across heterogeneous networks. The Fraunhofer Institute FOKUS has recently launched the FOKUS Media Interoperability Lab (MIL) that is based on the "Open IMS Playground" testbed. MIL is as an open environment gathering all major IMS core components, and triple play toolkit originating from own developments as well as major industry players, which can be used by academic and industrial partners for early prototyping of new triple play services, related components, protocols, and applications. This paper introduces the relevant technologies and provides an overview of the testbed architecture and the relevant multimedia services at FOKUS. The validation of this architecture is demonstrated with an implementation in the testbed.

Provisioning of multimedia services over open NGN testbed

Cross-domain resource and infrastructure federation has gained more and more attention in the fields of Cloud and Future Internet (FI) testbeds. But, interoperable monitoring data exchange across heterogeneous domains remains a challenge due to the variety and heterogeneity of the used tools and interfaces. Many efforts have been made to define common data models and protocols but are task or domain specific. Based on the Semantic Web technologies, this paper presents an approach for unified data collection and representation across heterogeneous domains. The paper presents the design and implementation of an ontology-based information model for monitoring federated infrastructures. Its implementation and validation has been initially achieved in a small testbed federation. However, this solution will be deployed in a large federation within the context of the European Fed4FIRE project.

Thomas Magedanz

Papers

Open Service Platforms for the Information Society

“One Layer to Rule Them All”: Data Layer‐oriented 6G Networks

Mobile Wireless Middleware, Operating Systems, and Applications: 5th International Conference, Mobilware 2012, Berlin, Germany, November 13-14, 2012

Provisioning of multimedia services over open NGN testbed

MOFI: Monitoring ontology for federated infrastructures