Madrid, Spain
Madrid, Spain

Time filter

Source Type

Demchenko Y.,University of Amsterdam | Ngo C.,University of Amsterdam | Martinez-Julia P.,University of Murcia | Torroglosa E.,University of Murcia | And 6 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Cloud Platform as a Service (PaaS) provides an environment for creating and deploying applications using one of popular development platforms. This paper presents a practical solution for building a service composition platform based on the GEMBus (GEANT Multi-domain Bus) that extends the industry accepted Enterprise Service Bus (ESB) platform with automated services composition functionality and core services to support federated network access to distributed applications and resources, primarily targeted for GEANT research and academic community. The ESB is widely used as a platform for SOA and Web Services based integrated enterprise solutions. However in existing practices ESB design is still based on manual development, configuration and integration. GEMBus with its extended functionality and orientation on distributed resources integration can be considered as a logical choice for creating cloud PaaS services composition and provisioning platform. The paper describes Composable Services Architecture that creates a basis for automated services composition and lifecycle management and explains how this can be implemented with GEMBus. The paper describes the combined GEMBus/ESB testbed and provides an example of the simple services composition. © 2012 Springer-Verlag.


Fischer L.,NORDUnet | Belter B.,PSNC | Przywecki M.,PSNC | Cosin M.,RedIRIS | And 6 more authors.
TERENA Networking Conference 2010: Living the Network Life, TNC 2010 | Year: 2010

This paper describes research carried out by the GN3 project into network federation, i.e. sharing resources among multiple independent networks. The aim of the research is to investigate how federated networks can contribute to the research and education networks' goal of improving performance and end-user service and reducing costs. To achieve this objective, we have assessed user demand for federated networks, analysing current and future projects requiring international data transmission, and investigated the three key building blocks for federated networks - network, operations and services - with particular reference to their current status among European NRENs and their potential usefulness or limitations for establishing a federation of research networks. We have used our findings to consider the architectural principles of federated networks and to develop models that optimise the use of shared resources and improve services. We have developed test cases to help refine the models, including one to support the Large Hadron Collider network, and have assessed the implications of a federated approach for both network operations and service delivery. Each of these aspects of our research is described in this paper, prefaced by a summary of the benefits and challenges of network federation and concluding with an outline of future work. The research's originality lies in its exploitation of leading-edge technologies, its innovative proposals for international collaboration, its access to and application of primary data sources. The results are of value not only to GÉANT and European NRENs but also to any special-purpose network and core networks in general.


Pouzols F.M.,Aalto University | Lopez D.R.,RedIRIS | Barros A.B.,Institute Microelectronica Of Seville
Studies in Computational Intelligence | Year: 2011

Understanding the dynamics and performance of packet switched networks on the basis of measurements enables practitioners to optimize resources. As network measurement research further advances and new measurement tools and infrastructures are available, the task of network operation becomes more and more complex. In this chapter we apply the methodology developed in the previous chapter to time series concerning network traffic load. An extensive predictability analysis is performed using the same nonparametric residual variance estimation technique that is integrated into the prediction methodology. Based on the predictability results, fuzzy inference based models that are both interpretable and accurate are derived for a wide set of heterogeneous time series for network traffic. © 2011 Springer-Verlag Berlin Heidelberg.


Pouzols F.M.,Aalto University | Lopez D.R.,RedIRIS | Barros A.B.,Institute Microelectronica Of Seville
Studies in Computational Intelligence | Year: 2011

In this chapter, we focus on long-term modeling and prediction of univariate nonlinear time series. First, a method for long-term time series prediction by means of fuzzy inference systems combined with residual variance estimation techniques is developed and validated through a number of time series prediction benchmarks. This method provides an automatic means of modeling and predicting network traffic load, and can thus be classified as a method for predictive data mining. Although the primary focus in this section is to develop a methodology for building simple and thus interpretable fuzzy inference systems, it will be shown that they also outperform some of the most accurate and commonly used techniques in the field of time series prediction. © 2011 Springer-Verlag Berlin Heidelberg.


Pouzols F.M.,Aalto University | Lopez D.R.,RedIRIS | Barros A.B.,Institute Microelectronica Of Seville
Studies in Computational Intelligence | Year: 2011

This chapter looks into the practical implementation of some of the fuzzy inference systems proposed in previous chapters. Both architectural and operational constraints are considered. The focus is on an open FPGA-based hardware platform for the implementation of efficient fuzzy inference systems for solving problems in high-performance packet switched networks. A feasibility study is conducted in order to show that the techniques developed can be deployed in current and future network scenarios with satisfactory performance. © 2011 Springer-Verlag Berlin Heidelberg.


Pouzols F.M.,Aalto University | Lopez D.R.,RedIRIS | Barros A.B.,Institute Microelectronica Of Seville
Studies in Computational Intelligence | Year: 2011

This chapter deals with control of network traffic in routers as well as end-to-end flows. First it is proposed an scheme for implementing end-to-end traffic control mechanisms through fuzzy inference systems. A comparative evaluation of simulation and implementation results from the fuzzy rate controler as compared to that of traditional TCP flow and rate control mechanisms is performed for a wide set of realistic scenarios. Then, fuzzy inference systems for traffic control in routers are designed. A particular proposal has been evaluated in realistic scenarios and is shown to be robust. The proposal is compared against the random early detection (RED) scheme. It is experimentally shown that fuzzy systems can provide better performance and better adaptation to different requirements with mechanisms that are easy to modify using linguistic knowledge. © 2011 Springer-Verlag Berlin Heidelberg.


Pouzols F.M.,Aalto University | Lopez D.R.,RedIRIS | Barros A.B.,Institute Microelectronica Of Seville
Studies in Computational Intelligence | Year: 2011

Current network measurement systems are becoming highly sophisticated, producing huge amounts of convoluted measurement data and statistics. As a very common case, those networks implementing statistics reporting based on the NetFlow [15] technology can generate several GBs of data on a daily basis. In addition, these measurements are often very hard to interpret. In this chapter we describe a method that provides linguistic summaries of network traffic measurements as well as a procedure for finding hidden facts in the form of linguistic association rules. Thus, here we address an association rules mining problem. The method is suitable for summarization and analysis of network measurements at the flow level. As a first step, fuzzy linguistic summaries are applied to analyze and extract concise and human consistent summaries from NetFlow collections. Then, a procedure for mining hidden facts in network flow measurements in the form of fuzzy association rules is developed. The method is applied to a wide set of heterogeneous flow measurements, and is shown to be of practical application to network operation and traffic engineering [6, 5], where it can help solve a number of current issues. © 2011 Springer-Verlag Berlin Heidelberg.


Pouzols F.M.,Aalto University | Lopez D.R.,RedIRIS | Barros A.B.,Institute Microelectronica Of Seville
Studies in Computational Intelligence | Year: 2011

The structure and behavior of packet switched networks is difficult to model in a way comparable to many natural and artificial systems. Nonetheless, the Internet is an outstanding and challenging case because of its incredibly fast development, unparalleled heterogeneity and the inherent lack of measurement and monitoring mechanisms in its core conception. In short, packet switched networks defy analytical modeling. This chapter is intended to introduce and provide concise descriptions of some of the building blocks of what some authors call Internet Science [21, 104], i.e., the study of laws and patterns in Internet structure. Additional related aspects that will be used throughout the next chapters are discussed as well. We will briefly define and describe the most relevant concepts about Internet performance and measurement that will be used throughout the next chapters. However, we will not get into details about all the networking concepts this monograph deals with.We refer to [37] for a good overall and in-depth analysis of traffic measurement and performance analysis. There are also a number of research papers that provide good insight into more specific topics. Among these, we highlight [21], where some key mathematical concepts in Internet traffic analysis are discussed. It is also out of the scope of this monograph to analyze in detail the mathematical aspects of most of the concepts this monograph deals with, and in particular those related to traffic control. For this, we refer the interested reader to [153] and [15]. Some of the most relevant and seminal research papers in this area can also be consulted [134, 132, 129, 171, 71]. © 2011 Springer-Verlag Berlin Heidelberg.


Demchenko Y.,University of Amsterdam | De Laat C.,University of Amsterdam | Lopez D.R.,RedIRIS | Garcia-Espin J.A.,I2CAT Foundation
Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010 | Year: 2010

Modern e-Science and high technology industry require high-performance and complicated network and computer infrastructure to support distributed collaborating groups of researchers and applications that should be provisioned on-demand. The effective use and management of the dynamically provisioned services can be achieved by using the Service Delivery Framework (SDF) proposed by TeleManagement Forum that provides a good basis for defining the whole services life cycle management and supporting infrastructure services. The paper discusses conceptual issues, basic requirements and practical suggestions for provisioning consistent security services as a part of the general e-Science infrastructure provisioning, in particular Grid and Cloud based. The proposed Security Services Lifecycle Management (SSLM) model extends the existing frameworks with additional stages such as "Reservation Session Binding" and "Registration and Synchronisation" that specifically target such security issues as the provisioned resources restoration, upgrade or migration and provide a mechanism for remote executing environment and data protection by binding them to the session context. The paper provides a short overview of the existing standards and technologies and refers to the ongoing projects and experience in developing dynamic distributed security services. © 2010 IEEE.


Grammatikou M.,National Technical University of Athens | Marinos C.,National Technical University of Athens | Demchenko Y.,UvA Amsterdam | Lopez D.R.,RedIRIS | And 2 more authors.
Proceedings - 2011 3rd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2011 | Year: 2011

Cloud computing has become a common technology for provisioning infrastructure services on-demand. Modern Cloud platforms can provide cloud-based applications, software, deployment platforms, or general infrastructure services that may include both computational and storage resources. However existing Cloud provisioning models are based on proprietary solutions and don't allow the combination of services from different providers and/or user legacy application that usually are present in user home organizations or campus networks. This paper introduces GEMBus (GEANT Multi-domain Bus), a service-oriented middleware platform that allows flexible services composition, and their on-demand provisioning and deployment to create new specialized task-oriented services and applications. GEMBus is built upon state-of-the-art Enterprise Service Bus (ESB) technologies and extend them with new functionalities that allow dynamic component services deployment, composition and management. The current paper discusses the general case for integration of Service-Oriented Architecture (SOA) principles and technologies with the provision and deployment mechanisms of Cloud-based platforms to support on-demand infrastructure services provisioning. It describes the Composable Services Architecture (CSA) that provides a general framework for GEMBus services design and operation. The paper also presents the current GEMBus implementation status and discusses how it can be applied as a general SOA platform for Cloud-based service provisioning. Finally, it discusses the practical use case of the federated network monitoring service that can be used as integration component in creating/building GEMBus based Cloud infrastructure services. © 2011 IEEE.

Loading RedIRIS collaborators
Loading RedIRIS collaborators