Abstract-Recent endeavors in addressing the challenges of the current and future Internet pursue a clean slate design methodology. Simultaneously, it is argued that the Internet is unlikely to be changed in one fell swoop and that its next generation requires an evolutionary design approach. Recognizing both positions, we claim that cleanness and evolution are not mutually exclusive, but rather complementary and indispensable properties for sustainable management in the future Internet.In this paper we propose the in-network management (INM) paradigm, which adopts a clean slate design approach to the management of future communication networks that is brought about by evolutionary design principles. The proposed paradigm builds on embedded management capabilities to address the intrinsic nature, and hence, close relationship between the network and its management. At the same time, INM assists in the gradual adoption of embedded self-managing processes to progressively achieve adequate and practical degrees of INM. We demonstrate how INM can be exploited in current and future network management by its application to P2P networks. Index Terms-clean slate design, evolutionary design, innetwork management, self-management, future Internet
This work proposes a probabilistic management paradigm for solving some major challenges of decentralized network management. Specifically, we show how to cope with 1) the overhead of redundant information gathering and processing, 2) the decentralized management in dynamic and unpredictable environments, and 3) the considerable effort required for decentralized coordination of management functions.To this end, we describe a framework for probabilistic decentralized management in the context of In-Network Management (INM). We demonstrate how this framework can be applied to a network of information, a novel clean-slate approach towards an information-centric future Internet. We show by means of a simulation study in the area of performance and fault management that we can significantly reduce the effort and resources dedicated to management, while we are able to achieve a sound level of accuracy of the overall network view. IndexTerms-Network Management, Probabilistic Management, Decentralized Management, Self-managing systems, Future Internet Management.
Abstract. Future communication networks will be composed of a diversity of highly heterogeneous network variants, ranging from energy constrained wireless sensor networks to large-scale wide area networks. The fact that the size and complexity of such networks will experience tremendous growth will eventually render existing traditional network management paradigms unfeasible. We propose the radically new paradigm of in-network management, which targets the embedding of self-management capabilities deep inside the network nodes. In this paper, we focus on our framework for in-network management, which allows management logic to be embedded and executed within network nodes. Based on a specific use-case of bio-inspired network management, we demonstrate how our framework can be exploited in a network failure scenario using quorum sensing and chemotaxis.
In the progressive development of IPTV technology, special attention is being paid at the assurance of an appropriate service quality to the end user. Several research and standardization activities are studying how to provide QoS for IPTV streams along the delivery path from the Head End office/video server to the end user. The customer's premise is the last part of this path, and the one that is typically not under control of an operator. At the same time, the Home Network is becoming a complex environment, including a variety of devices and different network technologies. This paper presents an architecture for IPTV quality of service management focused on the Home Network. A key point of this solution is the introduction of service assurance functions in the Home Gateway. A prototype of the proposed solution proves the applicability of this approach.
Event handling is a management mechanism that provides means for the network to react on changes in the network conditions or performance. In the construction of a clean-slate management architecture, we consider this as a main building block. This paper proposes a fully distributed event distribution in a fully distributed environment: differently from existing works, no configuration is required in advance, and yet nodes have guarantee that events are delivered and that certain delivery objectives are respected. The contributions of this paper are: a generic system model for event handling and an analysis of event distribution mechanisms with respect to timeliness and traffic metrics. The paper describes and discusses in detail the results based on simulations and provides guidelines for management functions of the Future Internet.
In-network management (INM) is a new paradigm forthe management of the future Internet that is based on the principles of decentralization and self-organization. Its goal is to overcome the limitations of traditional network management and to achieve scalable and robust management systems with low complexity for large-scale, dynamic network environments.In this paper, we describe a framework for INM that provides a systematic approach to the embedding of management algorithms within the elements of a communication networks. In addition, we demonstrate the benefits of decentralized management in the context of two key management functions, namely real-time monitoring and event handling.Index Terms-Network management, decentralized management algorithms.
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