Catálogo de publicaciones - libros

In the future internet era, mechanisms for extending the coverage of the wireless access infrastructure and service provisioning to locations that cannot be served otherwise or for engineering traffic whenever the infrastructure network is already congested will be required. Opportunistic networks are a promising solution towards this direction. Opportunistic networks are dynamically created, managed and terminated. During the creation phase, nodes that will constitute the opportunistic network needs, are selected and assigned with the proper spectrum and routing patterns. Accordingly, this paper focuses on the opportunistic network creation problem and particularly on the efficient selection of nodes to participate therein. A first step towards the formulation and solution of the opportunistic network creation problem is made, whereas indicative results are also presented in order to obtain some proof of concept for the proposed solution.

Over the years, the Internet has become a central tool for society. The extent of its growth and usage raises critical issues associated with its design principles that need to be addressed before it reaches its limits. Many emerging applications have increasing requirements in terms of bandwidth, QoS and manageability. Moreover, applications such as Cloud computing and 3D-video streaming require optimization and combined provisioning of different infrastructure resources and services that include both network and IT resources. Demands become more and more sporadic and variable, making dynamic provisioning highly needed. As a huge energy consumer, the Internet also needs to be energy-conscious. Applications critical for society and business (e.g., health, finance) or for real-time communication demand a highly reliable, robust and secure Internet. Finally, the future Internet needs to support sustainable business models, in order to drive innovation, competition, and research. Combining optical network technology with Cloud technology is key to addressing the future Internet/Cloud challenges. In this context, we propose an integrated approach: realizing the convergence of the IT- and optical-network-provisioning models will help bring revenues to all the actors involved in the value chain. Premium advanced network and IT managed services integrated with the vanilla Internet will ensure a sustainable future Internet/Cloud enabling demanding and ubiquitous applications to coexist.

IT-supported service provisioning has become of major relevance in all industries and domains. However, the goal of reaching a truly service-oriented economy would require that IT-based services can be flexibly traded as economic good, i.e. under well defined and dependable conditions and with clearly associated costs. With this paper we claim for the need of creating a holistic view for the management of service level agreements (SLAs) which addresses the management of services and their related SLAs through the complete service lifecycle, from engineering to decommissioning. Furthermore, we propose an SLA management framework that can become a core element for managing SLAs in the Future Internet. Last, we present early results and experiences gained in four different industrial use cases, covering the areas of Enterprise IT, ERP Hosting, Telco Service Aggregation, and eGovernment.

This paper presents the researches for better integration between services and networks by simplifying the network layers structure and extending the ontology use. Through an ontological viewpoint, FINLAN (Fast Integration of Network Layers) was modeled to be able to deal with semantics in the network communication, cross-layers, as alternative to the TCP/IP protocol architecture. In this research area, this work shows how to integrate and collaborate with Future Internet researches, like the Autonomic Internet.

We outline a relationship between Linked Data and the Internet of Services which we have been exploring recently. The Internet of Services provides a mechanism for combining elements of a Future Internet through standardized service interfaces at multiple levels of granularity. Linked Data is a lightweight mechanism for sharing data at web-scale which we believe can facilitate the management and use of service-based components within global networks.

This chapter proposes a novel concept towards the deployment of a networked ‘Media Ecosystem’. The proposed solution is based on a flexible cooperation between providers, operators, and end-users, finally enabling every user first to access the offered multimedia services in various contexts, and second to share and deliver his own audiovisual content dynamically, seamlessly, and transparently to other users. Towards this goal, the proposed concept provides content-awareness to the network environment, network- and user context-awareness to the service environment, and adapted services/content to the end user for his best service experience possible, taking the role of a consumer and/or producer.

High quality multimedia contents can distribute in a flexible, efficient and personalized way through dynamic and heterogeneous environments in Future Internet. Scalable Video Coding (SVC) and Multiple Description Coding (MDC) fulfill these objective thorough P2P distribution techniques. This chapter discusses the SVC and MDC techniques along with the real experience of the authors of SVC/MDC over P2P networks and emphasizes their pertinence in Future Media Internet initiatives in order to decipher potential challenges.

Multimedia content is usually complex and may contain many semantically meaningful elements interrelated to each other. Therefore to understand the high-level semantic meanings of the content, such interrelations need to be learned and exploited to further improve the search process. We introduce our ideas on how to enable automatic construction of semantic context by learning from the content. Depending on the targeted source of content, representation schemes for its semantic context can be constructed by learning from data. In the target representation scheme, metadata is divided into three levels: low, mid, and high levels. By using the proposed scheme, high-level features are derived out of the mid-level features. In order to explore the hidden interrelationships between mid-level and the high-level terms, a Bayesian network model is built using from a small amount of training data. Semantic inference and reasoning is then performed based on the model to decide the relevance of a video.

In recent years, the evolution of infrastructures and technologies carried out by emerging paradigms, such as Cloud Computing, Future Internet and SaaS (Software-as-a-Service), is leading the area of enterprise systems to a progressive, significant transformation process. This evolution is characterized by two aspects: a progressive commoditization of the traditional ES functions, with the ‘usual’ management and planning of resources, while the challenge is shifted toward the support to enterprise innovation. This process will be accelerated by the advent of FInES (Future Internet Enterprise System) research initiatives, where different scientific disciplines converge, together with empirical practices, engineering techniques and technological solutions. All together they aim at revisiting the development methods and architectures of the Future Enterprise Systems, according to the different articulations that Future Internet Systems (FIS) are assuming, to achieve the Future Internet Enterprise Systems (FInES). In particular, this paper foresees a progressive implementation of a rich, complex, articulated digital world that reflects the real business world, where computational elements, referred to as FInER (Future Internet Enterprise Resources), will directly act and evolve according to what exists in the real world.

As one of the first worldwide initiatives provisioning ICT (Information and Communication Technologies) services entirely based on renewable energy such as solar, wind and hydroelectricity across Canada and around the world, the GreenStar Network (GSN) is developed to dynamically transport user services to be processed in data centers built in proximity to green energy sources, reducing GHG (Greenhouse Gas) emissions of ICT equipments. Regarding the current approach, which focuses mainly in reducing energy consumption at the micro-level through energy efficiency improvements, the overall energy consumption will eventually increase due to the growing demand from new services and users, resulting in an increase in GHG emissions. Based on the cooperation between Mantychore FP7 and the GSN, our approach is, therefore, much broader and more appropriate because it focuses on GHG emission reductions at the macro-level. Whilst energy efficiency techniques are still encouraged at low-end client equipments, the heaviest computing services are dedicated to virtual data centers powered completely by green energy from a large abundant reserve of natural resources, particularly in northern countries.