Adaptive and Evolvable Network Services

Nakano, Tadashi; Suda, Tatsuya

doi:10.1007/978-3-540-24854-5_14

Cited by 10 publications

(11 citation statements)

References 14 publications

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“…In [6] genetic algorithms are applied in a decentralized way to evolve agents that provide network services. Although their work is still implemented via simulations, their design aims at on-line evolution.…”

Section: State Of the Art And Related Workmentioning

confidence: 99%

Experiments on the Automatic Evolution of Protocols Using Genetic Programming

Yamamoto

Tschudin

2006

Lecture Notes in Computer Science

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Abstract. Truly autonomic networks ultimately require self-modifying, evolving protocol software. Otherwise humans must intervene in every situation that has not been anticipated at design time. For this to become feasible autonomic systems must ensure non-disruptive on-line software evolution. We investigate related code steering techniques in two directions: One is the fully automatic selection of protocol service elements where, depending on device characteristics and current operation environment, each communication entity has to select among a potentially wide variety of protocol implementations providing similar services. The other direction relates to the automatic synthesis of new protocol elements which are the result of optimizing existing implementations for a specific context. In both cases we look at genetic programming as a tool to generate new code and software configurations automatically. In this paper we propose a framework for such a resilient protocol evolution and report on first exploratory results on the adaptation and re-adaptation to environmental conditions, and the elimination of superfluous code.

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Section: State Of the Art And Related Workmentioning

confidence: 99%

Experiments on the Automatic Evolution of Protocols Using Genetic Programming

Yamamoto

Tschudin

2006

Lecture Notes in Computer Science

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“…Diverse behavioral policies of CEs may be created manually by human CE developers or created through crossover and mutation during replication and reproduction of CEs. Through natural selection using energy, 2 beneficial behavior policies are retained, while detrimental behavior policies become dormant or extinct over many successive generations, and the CEs specialize and improve themselves according to long-term environmental changes [5].…”

Section: Design Principles Of the Bio-networking Architecturementioning

confidence: 99%

“…The authors of the paper believe if network applications are modeled after certain biological concepts and mechanisms, they may be able to meet these requirements of future network applications. The Bio-Networking Architecture [1]- [5] applies key concepts and mechanisms in biological systems to design network applications. 1 One of the key concepts in biological systems is emergence.…”

Section: Introductionmentioning

confidence: 99%

A middleware platform for a biologically inspired network architecture supporting autonomous and adaptive applications

Suzuki

Suda

2005

IEEE J. Select. Areas Commun.

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Abstract-This paper describes and empirically evaluates the middleware platform of a new network architecture called the Bio-Networking Architecture. The Bio-Networking Architecture is inspired by the observation that the biological systems (e.g., bee colonies) have already developed mechanisms necessary to achieve future network requirements such as autonomy, scalability, adaptability, and simplicity. In the Bio-Networking Architecture, a network application is implemented as a group of distributed, autonomous and diverse objects called cyber-entities (CEs) (analogous to a bee colony consisting of multiple bees). Each CE implements a functional service related to the application and follows simple behaviors similar to biological entities (e.g., reproduction and migration). In the Bio-Networking Architecture, beneficial application characteristics (e.g., autonomy, scalability, adaptability, and simplicity) arise from the autonomous interaction of CEs. The middleware platform in the Bio-Networking Architecture, the bionet platform, provides reusable software components for developing, deploying, and executing CEs. The components abstract low-level operating and networking details, and implement high-level runtime services that CEs use to perform their services and behaviors. The components in the bionet platform are designed based on several biological concepts (e.g., energy exchange and pheromone emission). This paper describes key designs of the bionet platform and empirically demonstrates that the bionet platform is efficient, scalable, reusable, and significantly simplifies development of network applications.Index Terms-Autonomic computing middleware, autonomous and adaptive network applications, biologically inspired network architecture for distributed computing.

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“…In [6] [7] the swarm intelligence of social insects has inspired an evolutionary framework capable of connecting heterogeneous objects and services. This dis-tributed framework should exploit the decentralized organization of autonomous biological individuals leading to an emergent behavior.…”

Section: Related Workmentioning

confidence: 99%

BIONETS: BIO-inspired NExt generaTion networkS

Carreras

Chlamtac

Woesner

et al. 2005

Lecture Notes in Computer Science

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Abstract. The amount of information in the new emerging all-embracing pervasive environments will be enormous. Current Internet protocol conceived almost forty years ago, were never planned for these emerging pervasive environments. The communications requirements placed by these protocols on the low cost sensor and tag nodes are in direct contradiction to the fundamental goals if these nodes, being small, inexpensive and maintenance free. This situation needs therefore a radically different approach to communication in these systems, especially since pervasive and ubiquitous networks are expected to be the key drivers of the all encompassing Internet of the coming decades. The fundamental disparity between the need for extremely dispensable, low cost devices, such as sensors or tags, and increasing communications load per device due to the presence of billions of nodes, that is creating an unbridgeable paradox, is therefore an insurmountable obstacle on the way to adoption when conventional networking architectures are being considered. Biological systems provide insights into principles which can be adopted to completely redefine the basic concepts of control, structure, interaction and function of the emerging pervasive environments. The study of the rules of genetics and evolution combined with mobility, leads to the definition of service oriented communication systems which are autonomous, and autonomously self-adaptive. The objective of this article is to ascertain how this paradigm shift, which views a network only as a randomly self-organizing by-product of a collection of self-optimizing services, may become the enabler of the new world of omnipresent low cost pervasive environments of the future.

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Adaptive and Evolvable Network Services

Cited by 10 publications

References 14 publications

Experiments on the Automatic Evolution of Protocols Using Genetic Programming

Experiments on the Automatic Evolution of Protocols Using Genetic Programming

A middleware platform for a biologically inspired network architecture supporting autonomous and adaptive applications

BIONETS: BIO-inspired NExt generaTion networkS

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