Innovative directions in self-organized distributed multimedia systems

Böszörményi, László; Fabro, Manfred Del; Kogler, Marian; Lux, Mathias; Marques, Oge; Sobe, Anita

doi:10.1007/s11042-010-0622-z

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…), a traditional network infrastructure does not exist, or is expensive to set up. In this context content is also consumed in a more dynamic way than in traditional environments [1].…”

Section: Introductionmentioning

confidence: 99%

SEAHORSE: Generalizing an artificial hormone system algorithm to a middleware for search and delivery of information units

et al. 2015

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This paper introduces SEAHORSE (SElforganizing Artificial HORmone SystEm), a middleware that builds upon an artificial hormone system for search and delivery of information units. SEAHORSE is a generalization of an artificial hormone algorithm where information units are requested by network nodes via emitting a an artificial hormone which is propagated through the network with respect to the current network conditions. Information units are following the hormone gradient and therefore places themselves on servers where they are close to the requesting nodes. This self-organizing algorithm is robust and scalable, however, due to their complex nature, self-organizing are hard to configure and set up to get a desired outcome. Parameter settings are crucial for making the system work. Therefore, we provide a parameter study based on two use cases showing the applicability of SEAHORSE to target applications ranging from multimedia distribution at social events to information dissemination in smart electrical microgrids.

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“…), a traditional network infrastructure does not exist, or is expensive to set up. In this context content is also consumed in a more dynamic way than in traditional environments [1].…”

Section: Introductionmentioning

confidence: 99%

SEAHORSE: Generalizing an artificial hormone system algorithm to a middleware for search and delivery of information units

et al. 2015

Self Cite

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Non-sequential decomposition, composition and presentation of multimedia content

Fabro¹

2011

SIGMultimedia Rec.

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From a technological perspective, wireless sensor and actuator networks represent an adequate infrastructure for the realization of smart spaces. As a result of the different application scenarios however, concepts resulting from research on traditional sensor and actuator networks can only be applied to a limited extent. Most prominently, the heterogeneous nature of devices in smart environments necessitates dedicated means to cater for their interoperability. At the same time, the need for small-sized devices entails tight resource and energy constraints, which need to be carefully regarded during application design. Finally, the collection and wireless transmission of data from mobile entities play a vital role in smart environments, whereas they are rarely considered in traditional sensor network deployments. We address the requirements of smart environments by presenting the Sensor-RPC framework, which enables the generic interoperability between diverse wireless sensor and actuator devices. The presented solution applies the remote procedure call paradigm to abstract from the underlying hardware platforms, i.e. sensing, processing, and actuation functionalities are encapsulated into remotely invocable functions. Sensor-RPC makes use of binary packet representations and a modular parameter serialization concept in order to ensure its efficient applicability on resource-constrained embedded systems. In order to maximize the utilization of the available energy budget, Sensor-RPC is complemented by Squeeze.KOM, a framework for lossless packet payload compression. Squeeze.KOM takes temporal correlations between successive data packets into account and exploits the observed similarities in order to reduce the size of transmitted packets, and thus the energy demand of their transmission. Depending on the characteristics of the underlying data, the actual data compression step is realized by means of binary distance coding of packet differences, or by applying adaptive Huffman coding with a code tree of limited size. Both take advantage of the specific properties of real-world sensor data sets, in which strongly biased symbol distributions are frequent. Besides the lossless compression of packet payloads, the further reduction of packet sizes by means of header compression is presented. Our stateful header compression mechanism SFHC.KOM omits header fields with constant or deterministically changing values from their transmission by encapsulating them into so called compression contexts. Tailored to its application in smart spaces, SFHC.KOM adapts to the presence of both static and mobile nodes. The practicality of the devised solutions is investigated through prototypical implementations and the validation of their function on widely adopted wireless sensor and actuator node platforms. We substantiate the evaluations of the presented solutions by detailed analyses of their resource and energy demands. In order to assess the applicability of the contributions in smart environments, real-world data traces from the e...

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Replication and replacement in dynamic delivery networks

Sobe

Elmenreich

2013

Complex Adapt Syst Model

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Purpose Content delivery in dynamic networks is a challenging task, because paths may change during delivery and content might get lost. Replication is a typical measure to increase robustness and performance. Method In previous work we proposed a hormone-based algorithm that delivers content, and optimizes the distribution of replicas. Clients express demands by creating hormones that will be released to the network. The corresponding resources are attracted by this hormone and travel towards a higher hormone concentration. This leads to a placement of content close to their most frequent requesters. In addition to that the hormone-based delivery requires an appropriate replication and clean-up strategy to balance the replicas throughout the network without exceeding the nodes’ storage limits or the networks communication capacity. Results We examine different combinations of replication and replacement strategies and evaluate them in realistic scenarios involving node failure and networks of different size and structure. Conclusion Results show that it is necessary to match the replication mechanisms with the clean-up mechanism and that the local hormone information can be used to improve the clean-up decision.

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Innovative directions in self-organized distributed multimedia systems

Cited by 3 publications

References 33 publications

SEAHORSE: Generalizing an artificial hormone system algorithm to a middleware for search and delivery of information units

SEAHORSE: Generalizing an artificial hormone system algorithm to a middleware for search and delivery of information units

Non-sequential decomposition, composition and presentation of multimedia content

Replication and replacement in dynamic delivery networks

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