The Experts below are selected from a list of 1206 Experts worldwide ranked by ideXlab platform
John Strassner - One of the best experts on this subject based on the ideXlab platform.
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The Use of Control Loops in Autonomic Networking
2016Co-Authors: Michael Behringer, John Strassner, Joel HalpernAbstract:This document defines the requirements for an Autonomic control loop, describes different types of control loops, and explains how control loops are used in an Autonomic System. Control loops are used to enable Autonomic Network Management systems to adapt the behavior of the systems that they manage to respond to changes in user needs, business goals, and/or environmental conditions.
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The Design of the FOCALE Autonomic Networking Architecture
Autonomic Network Management Principles, 2011Co-Authors: John StrassnerAbstract:Network devices will always be heterogeneous, both in the functionality they provide and in the way they represent and use management data. This adversely affects interoperability and makes management of networks and networked applications more difficult. This chapter describes the motivation and design of the FOCALE Autonomic Networking architecture. FOCALE is based on the following core principles: (1) use a combination of information and data models to establish a common “lingua franca” to map vendor- and technology-specific functionality to a common platform-, technology-, and language independent form, (2) augment this with ontologies to attach formally defined meaning and semantics to the facts defined in the models, (3) use the combination of models and ontologies to discover and program semantically similar functionality for heterogeneous devices independent of the data and language used by each device, (4) use context-aware policy management to govern the resources and services provided, (5) use multiple-control loops to provide adaptive control to changing context, and (6) use multiple machine learning algorithms to enable FOCALE to be aware of both itself and of its environment in order to reduce the amount of work required by human administrators. This chapter first motivates the need for Autonomic systems and explains why a well-known but simple example of an Autonomic control loop is not sufficient for network management purposes. It uses these deficiencies as motivation to explain the rationale behind the original FOCALE Autonomic architecture. The chapter concludes with a discussion of how knowledge is represented in FOCALE.
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The Design of a New Policy Model to Support Ontology-Driven Reasoning for Autonomic Networking
Journal of Network and Systems Management, 2009Co-Authors: John Strassner, Keara Barrett, Steven Davy, José Neuman De Souza, Sven Meer, David Raymer, Srini SamudralaAbstract:The purpose of Autonomic Networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network management data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze management data, which include information and data models, ontologies, machine learning algorithms, and policy languages, are all different, and hence require different data in different formats. This paper describes a new version of the Directory Enabled Networks next generation (DEN-ng) policy model, which is part of the FOCALE Autonomic network architecture. This new policy model has been built using three guiding principles: (1) the policy model is rooted in information models, so that it can govern managed entities, (2) the model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language can be developed from it.
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The design of a new policy model to support ontology-driven reasoning for Autonomic Networking
Journal of Network and Systems Management, 2009Co-Authors: José Neuman de Souza, Keara Barrett, Srini Samudrala, Steven Davy, José Neuman De Souza, John Strassner, Sven Van Der Meer, D RaymerAbstract:The purpose of Autonomic Networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network management data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze management data, which include information and data models, ontologies, machine learning algorithms, and policy languages, are all different, and hence require different data in different formats. This paper describes a new version of the DEN-ng policy model, which is part of the FOCALE Autonomic network architecture. This new policy model has been built using three guiding principles: (1) the policy model is rooted in information models, so that it can govern managed entities, (2) the model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language can be developed from it.
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The design of a novel context-aware policy model to support machine-based learning and reasoning
Cluster Computing, 2009Co-Authors: John Strassner, José Neuman de Souza, Srini Samudrala, D Raymer, Steven Davy, Keara BarrettAbstract:The purpose of Autonomic Networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network management data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze management data are all different, and hence require different data in different formats. This complicates the construction of context from diverse information sources. This paper describes a new version of the DEN-ng context-aware policy model, which is part of the FOCALE Autonomic network architecture. This model has been built using three guiding principles: (1) both the context model and the policy model are rooted in information models, so that they can govern managed entities, (2) each model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language that supports machine-based reasoning and learning can be developed from it.
Luis Velasco - One of the best experts on this subject based on the ideXlab platform.
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CURSA-SQ: A methodology for service-centric traffic flow analysis
IEEE\ OSA Journal of Optical Communications and Networking, 2018Co-Authors: Marc Ruiz, Franco Coltraro, Luis VelascoAbstract:The rapid availability of new services means that network operators cannot exhaustively test their impact on the network or anticipate any capacity exhaustion. This situation will be worse with the imminent introduction of 5G technology and the kind of totally new services that it will support. In addition, the increasing complexity of the network makes analyzing its behavior challenging against the specific traffic that needs to be supported; this prevents from training human operators and, much less, machine learning algorithms that might automatize network operation. In this paper, we present CURSA-SQ, a methodology to analyze network behavior when specific traffic that would be generated by groups of service consumers is injected. CURSA-SQ includes input traffic flow modeling with second and sub-second granularity based on specific service and consumer behavior, as well as a continuous G/G/1/k queue model based on the logistic function. The methodology allows for accurately studying the traffic flows at the input and outputs of complex scenarios with multiples queue systems, as well as other metrics such as delays, while showing noticeable scalability. Application use cases include packet and optical network planning, service introduction assessment, and Autonomic Networking, just to mention a few.
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Building Autonomic Optical Whitebox-Based Networks
Journal of Lightwave Technology, 2018Co-Authors: Luis Velasco, Francesco Fresi, Andrea Sgambelluri, Ramon Casellas, Lluis Gifre, Jose-luis Izquierdo-zaragoza, Francesco Paolucci, Ricardo Martinez, E. RiccardiAbstract:Disaggregation at the optical layer is expected to bring benefits to network operators by enriching the offering of available solutions and enabling the deployment of optical nodes that better fit their needs. In this paper, we assume a partially disaggregated model with transponder nodes for transmission and ROADMs for switching, where each optical node is conceived as a whitebox consisting of a set of optical devices and a local node controller that exposes a single interface to the software-defined networks (SDN) controller. An architecture to provide Autonomic Networking is proposed, including the SDN controller and supporting monitoring and data analytics capabilities; YANG data models and software interfaces have been specifically tailored to deal with the level of disaggregation desired. To demonstrate the concept of Autonomic Networking, use cases for provisioning and self-tuning based on the monitoring of optical spectrum have been proposed and experimentally assessed in a distributed test-bed connecting laboratories in Spain and Italy.
Jing Zhang - One of the best experts on this subject based on the ideXlab platform.
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A context-aware policy model to support Autonomic Networking
Proceedings - International Computer Software and Applications Conference, 2008Co-Authors: John Strassner, Jing ZhangAbstract:Autonomic Networking requires that the services and resources offered by the network at any specific time adapt to evolving changes in user needs, business goals and environmental conditions. This paper describes a rich and extensible context-aware policy model as part of the FOCALE Autonomic network architecture. This context-aware policy model is built explicitly to support context-awareness that in turn enables the control loops in FOCALE to be adaptive.
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Modelling context for Autonomic Networking
2008 IEEE Network Operations and Management Symposium Workshops - NOMS 08, 2008Co-Authors: John Strassner, MÃcheál à Foghlú, Claire Fahy, Michael Jiang, Sven Van Der Meer, Jing Zhang, Willie DonnellyAbstract:This paper describes a new version of the DEN-ng context model, and how this model in conjunction with the DEN-ng policy model can be used for more effective and flexible context management for Autonomic Networking. Both are part of the FOCALE Autonomic network architecture. Context selects policies, which select roles that can be used, which in turn define allowed functionality for that particular context. A brief description of applications of this model for the FP7 Autonomic Internet project are described.
Keara Barrett - One of the best experts on this subject based on the ideXlab platform.
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The Design of a New Policy Model to Support Ontology-Driven Reasoning for Autonomic Networking
Journal of Network and Systems Management, 2009Co-Authors: John Strassner, Keara Barrett, Steven Davy, José Neuman De Souza, Sven Meer, David Raymer, Srini SamudralaAbstract:The purpose of Autonomic Networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network management data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze management data, which include information and data models, ontologies, machine learning algorithms, and policy languages, are all different, and hence require different data in different formats. This paper describes a new version of the Directory Enabled Networks next generation (DEN-ng) policy model, which is part of the FOCALE Autonomic network architecture. This new policy model has been built using three guiding principles: (1) the policy model is rooted in information models, so that it can govern managed entities, (2) the model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language can be developed from it.
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The design of a new policy model to support ontology-driven reasoning for Autonomic Networking
Journal of Network and Systems Management, 2009Co-Authors: José Neuman de Souza, Keara Barrett, Srini Samudrala, Steven Davy, José Neuman De Souza, John Strassner, Sven Van Der Meer, D RaymerAbstract:The purpose of Autonomic Networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network management data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze management data, which include information and data models, ontologies, machine learning algorithms, and policy languages, are all different, and hence require different data in different formats. This paper describes a new version of the DEN-ng policy model, which is part of the FOCALE Autonomic network architecture. This new policy model has been built using three guiding principles: (1) the policy model is rooted in information models, so that it can govern managed entities, (2) the model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language can be developed from it.
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The design of a novel context-aware policy model to support machine-based learning and reasoning
Cluster Computing, 2009Co-Authors: John Strassner, José Neuman de Souza, Srini Samudrala, D Raymer, Steven Davy, Keara BarrettAbstract:The purpose of Autonomic Networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network management data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze management data are all different, and hence require different data in different formats. This complicates the construction of context from diverse information sources. This paper describes a new version of the DEN-ng context-aware policy model, which is part of the FOCALE Autonomic network architecture. This model has been built using three guiding principles: (1) both the context model and the policy model are rooted in information models, so that they can govern managed entities, (2) each model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language that supports machine-based reasoning and learning can be developed from it.
Sven Van Der Meer - One of the best experts on this subject based on the ideXlab platform.
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The design of a new policy model to support ontology-driven reasoning for Autonomic Networking
Journal of Network and Systems Management, 2009Co-Authors: José Neuman de Souza, Keara Barrett, Srini Samudrala, Steven Davy, José Neuman De Souza, John Strassner, Sven Van Der Meer, D RaymerAbstract:The purpose of Autonomic Networking is to manage the business and technical complexity of networked components and systems. However, the lack of a common lingua franca makes it impossible to use vendor-specific network management data to ascertain the state of the network at any given time. Furthermore, the tools used to analyze management data, which include information and data models, ontologies, machine learning algorithms, and policy languages, are all different, and hence require different data in different formats. This paper describes a new version of the DEN-ng policy model, which is part of the FOCALE Autonomic network architecture. This new policy model has been built using three guiding principles: (1) the policy model is rooted in information models, so that it can govern managed entities, (2) the model is expressly constructed to facilitate the generation of ontologies, so that reasoning about policies constructed from the model may be done, and (3) the model is expressly constructed so that a policy language can be developed from it.
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Advanced Autonomic Networking and Communication (Whitestein Series in Software Agent Technologies and Autonomic Computing)
2008Co-Authors: Monique Calisti, Sven Van Der Meer, John StrassnerAbstract:This book presents a comprehensive reference of state-of-the-art efforts and early results in the area of Autonomic Networking and communication. The essence of Autonomic Networking, and thus Autonomic communications, is to enable the self-governing of services and resources within the constraints of business rules. In order to support self-governance, appropriate self-* functionality will be deployed in the network on an application-specific basis. The continuing increase in complexity of upcoming Networking convergence scenarios mandates a new approach to network management. This special issue explores different ways that Autonomic principles can be applied to existing and future networks. In particular, the book has 3 main parts, each of them represented by three papers discussing them from industrial and academic perspectives. The first part focuses on architectures and modeling strategies. It starts with a discussion on current standardization efforts for defining a technological neutral, architectural framework for Autonomic systems and networks, followed by an insight report on how a telecommunication company utilizes Autonomic principles to manage its infrastructure and finalized by a European effort to model distribution and behaviour of and for (Autonomic) network management. Part two of this book is dedicated to middleware and service infrastructure as facilitators of Autonomic communications. This part starts introducing a connectivity management system based on a resilient and adaptive communication middleware. The second paper of this part combines the concept of a knowledge plane with real-time demands of the military sector to regulate resources. This is followed by a profound discussion on how to the management of service access can benefit from Autonomic principles, with special focus on next generation networks. Part three focuses on Autonomic networks, specifically how current networks can be equipped with Autonomic functionality and thus migrate to Autonomic networks. We start this part by analyzing the difference between traditional network management and Autonomic network management and learn how the later one enables cross-layer optimization. Next, we see how a multi-agent system helps to manage a combined MPLS DiffServ-TE Domain. This part is concluded by a very interesting approach that applies game theory to (Autonomically) manage the available spectrums in wireless networks.
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Modelling context for Autonomic Networking
2008 IEEE Network Operations and Management Symposium Workshops - NOMS 08, 2008Co-Authors: John Strassner, MÃcheál à Foghlú, Claire Fahy, Michael Jiang, Sven Van Der Meer, Jing Zhang, Willie DonnellyAbstract:This paper describes a new version of the DEN-ng context model, and how this model in conjunction with the DEN-ng policy model can be used for more effective and flexible context management for Autonomic Networking. Both are part of the FOCALE Autonomic network architecture. Context selects policies, which select roles that can be used, which in turn define allowed functionality for that particular context. A brief description of applications of this model for the FP7 Autonomic Internet project are described.
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From Autonomic computing to Autonomic Networking: An architectural perspective
Proceedings of the 5th IEEE Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2008, 2008Co-Authors: D Raymer, Sven Van Der Meer, John StrassnerAbstract:This paper aims to provide a roadmap on how to extend our understanding of the biological analogy applied to a single computing platform (Autonomic Computing) towards a larger scale of a network supporting distributed application sets. We will draw from our experience in Autonomic Networking and Autonomic management, and discuss how the ACF Architecture Expert’s Group plans to provide architectural specifications and guidelines that allow for the modeling, design, implementation and deployment of an Autonomic network.
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advanced Autonomic Networking and communication
2008Co-Authors: Monique Calisti, Sven Van Der Meer, John StrassnerAbstract:Architectures and Models.- Technology Neutral Principles and Concepts for Autonomic Networking.- A Telco Approach to Autonomic Infrastructure Management.- Modelling Behaviour and Distribution for the Management of Next Generation Networks.- Middleware and Services.- Autonomic Communication with RASCAL Hybrid Connectivity Management.- Autonomic Resource Regulation in IP Military Networks: A Situatedness Based Knowledge Plane.- Autonomic Service Access Management for Next Generation Converged Networks.- Networks.- Cross-layer Optimisations for Autonomic Networks.- An Autonomic MPLS DiffServ-TE Domain.- Game Theoretic Framework for Autonomic Spectrum Management in Heterogeneous Wireless Networks.
