Using Swarm Intelligence in Linda Systems

Tolksdorf, Robert; Menezes, Ronaldo

doi:10.1007/978-3-540-25946-6_3

Cited by 33 publications

(30 citation statements)

References 12 publications

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“…A similar idea is applied in [38], in which tuples can create spatial processes defining evolving regions to be used for coordination in mobile networks. SwarmLinda [32] is a middleware that exploits the idea of the collective intelligence displayed by swarms of ants for guiding agents in charge of tuple storage and efficient tuple retrieval. Tuples are handled as sort of pheromones or items that ants (agents) relocate in order to improve overall efficiency.…”

Section: Related Workmentioning

confidence: 99%

Injecting Self-Organisation into Pervasive Service Ecosystems

et al. 2012

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Pervasive service ecosystems are a new paradigm for the design of context-aware systems featuring adaptivity and self-awareness. A theoretical and practical framework has been proposed for addressing these scenarios, taking primary inspirations from natural ecosystems and grounding upon two basic abstractions: "live semantic annotations" (LSAs), which are descriptions stored in infrastructure nodes and wrapping data, knowledge, and activities of humans, devices, and services; and "eco-laws", acting as system rules evolving the population of LSAs as if they were molecules subject to chemical-like reactions. In this paper, we aim at deepening how self-organisation can be injected in pervasive service ecosystems in terms This work has been supported by the EU-FP7-FET Proactive project SAPERE Self-aware Pervasive Service Ecosystems, under contract no.256873. of spatial structures and algorithms for supporting the design of context-aware applications. To this end, we start from an existing classification of self-organisation patterns, and systematically show how they can be supported in pervasive service ecosystems, and be composed to generate a self-organising emergent behaviour. A paradigmatic crowd steering case study is used to demonstrate the effectiveness of our approach. S. Montagna (B)·

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Section: Related Workmentioning

confidence: 99%

Injecting Self-Organisation into Pervasive Service Ecosystems

et al. 2012

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“…TSC follows REST principles, and CSpaces induce decentralization and self-organization by means of P2P ideas, while Semantic Web Spaces aim at tackling these issues using intelligent distribution strategies [e.g. self-organization on swarm intelligence principles (Tolksdorf & Menezes, 2003)]. The four surveyed systems have been prototypically implemented in Java.…”

Section: Part Ii-semantic Webmentioning

confidence: 99%

Tuplespace-based computing for the Semantic Web: a survey of the state-of-the-art

Nixon

Simperl

Krummenacher

et al. 2008

The Knowledge Engineering Review

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Semantic technologies promise to solve many challenging problems of the present Web applications. As they achieve a feasible level of maturity, they become increasingly accepted in various business settings at enterprise level. By contrast, their usability in open environments such as the Webwith respect to issues such as scalability, dynamism and openness-still requires additional investigation. In particular, Semantic Web services have inherited the Web service communication model, which is primarily based on synchronous message exchange technology such as remote procedure call (RPC), thus being incompatible with the REST (REpresentational State Transfer) architectural model of the Web. Recent advances in the field of middleware propose 'semantic tuplespace computing' as an instrument for coping with this situation. Arguing that truly Webcompliant Web service communication should be based, analogously to the conventional Web, on shared access to persistently published data instead of message passing, space-based middleware introduces a coordination infrastructure by means of which services can exchange information in a time-and reference-decoupled manner. In this article, we introduce the most important approaches in this newly emerging field. Our objective is to analyze and compare the solutions proposed so far, thus giving an account of the current state-of-the-art, and identifying new directions of research and development.

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“…An alternative approach is proposed in SwarmLinda [14,25] in which a randomized algorithm based on swarm intelligence is used to direct searches to tuples. In this case, we see that scalability may be achieved so long as the search algorithms prove to be efficient.…”

Section: Other Distributed Shared Data Spacesmentioning

confidence: 99%

An experimental evaluation of self-managing availability in shared data spaces

Russello

Chaudron

Steen

et al. 2007

Science of Computer Programming

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With its decoupling of processes in space and time, the shared data space model has proven to be a well-suited solution for developing distributed component-based systems. However, as in many distributed applications, functional and extra-functional aspects are still interwoven in components. In this paper, we address how shared data spaces can support the separation of concerns. In particular, we present a solution that allows developers to merely specify availability requirements for data tuples, while the underlying middleware evaluates various distribution and replication policies in order to select the one that meets these requirements best. Moreover, in our approach, the middleware continuously monitors the behavior of application and system components, and switches to different policies if this would lead to better results. We describe our approach, along with the design of a prototype implementation and its quantitative evaluation.

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Using Swarm Intelligence in Linda Systems

Cited by 33 publications

References 12 publications

Injecting Self-Organisation into Pervasive Service Ecosystems

Injecting Self-Organisation into Pervasive Service Ecosystems

Tuplespace-based computing for the Semantic Web: a survey of the state-of-the-art

An experimental evaluation of self-managing availability in shared data spaces

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