Using tuple-spaces to manage the storage and dissemination of spatial–temporal content

Bessler, Sandford; Fischer, Alexander; Kühn, Eva; Mordinyi, Richard; Tomic, Slobodanka

doi:10.1016/j.jcss.2010.01.010

Cited by 4 publications

(3 citation statements)

References 29 publications

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“…Coordination patterns: Reliable forwarding 53 and replicating 54 traffic information in the peer-to-peer network. Load balancing 55 of data and processing tasks among the road-side units.…”

Section: Road/carsmentioning

confidence: 99%

Reusable Coordination Components: Reliable Development of Cooperative Information Systems

Kühn

2016

Int. J. Coop. Info. Syst.

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Today's emerging trends like factory of the future, big data, Internet-of-things, intelligent traffic solutions, cyber-physical systems, wireless sensor networks, smart home, smart city and smart grid raise new challenges on software development. They are characterized by high concurrency, distribution and dynamics as well as huge numbers of heterogeneous devices, resources and users that must collaborate in a reliable way. The management of the interactions and dependencies between the participants is a complex task posing massive coordination problems. The here proposed approach is twofold: (i) to analyze similarities in the communication and synchronization behavior of such applications and to identify coordination patterns; and (ii) to give a precise specification of them by means of a suitable coordination model which enables the development of coordination pattern-based software components as solutions. The vision is to compose advanced cooperative information systems from proven, configurable, reusable, generic components that run on a suitable target platform, in order to reduce software development time, risks and costs. In this paper we delimit the idea of "coordination patterns" from other related pattern approaches and motivate the need for a well-defined model to specify them. Several coordination models to achieve this goal are discussed, and the advantages of a new coordination model termed the "Peer Model" are pointed out. The feasibility of the approach to identify coordination patterns, to model them and to provide generic components that can be reused in different scenarios through configuration and composition is evaluated by means of a coordination pattern found in several industrial use cases.

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“…Coordination patterns: Reliable forwarding 53 and replicating 54 traffic information in the peer-to-peer network. Load balancing 55 of data and processing tasks among the road-side units.…”

Section: Road/carsmentioning

confidence: 99%

Reusable Coordination Components: Reliable Development of Cooperative Information Systems

Kühn

2016

Int. J. Coop. Info. Syst.

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“…Distributed tuple spaces [29], [30] may resemble our proposed loosely coupled paradigm based on partially ordered knowledge sharing, but the atomicity properties of tuples spaces cannot be implemented in highly dynamic environments and impose strong limits on their scalability. For instance, the LIME (Linda in a Mobile Environment) [29] is based on the idea that the tuple spaces of individual host conceptually merge when they come into contact, which can partition again when the conneciton is lost.…”

Section: Related Workmentioning

confidence: 99%

“…For instance, the LIME (Linda in a Mobile Environment) [29] is based on the idea that the tuple spaces of individual host conceptually merge when they come into contact, which can partition again when the conneciton is lost. A different approach is taken in the space-based computing architecture of [30] which organizes tuple spaces using distributed hash tables.…”

Section: Related Workmentioning

confidence: 99%

An Application Framework for Loosely Coupled Networked Cyber-Physical Systems

Kim

Stehr

Kim

et al. 2010

2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing

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Abstract-Networked Cyber-Physical Systems (NCPSs) present many challenges since they require a tight combination with the physical world as well as a balance between autonomous operation and coordination among heterogeneous nodes. These fundamental challenges range from how NCPSs are architected, implemented, composed, and programmed to how they can be validated. In this paper, we describe a new paradigm for programming an NCPS that enables users to specify their needs and nodes to contribute capabilities and resources. This new paradigm is based on the partially ordered knowledge sharing model that makes explicit the abstract structure of a computation in space and time. Based on this model, we propose an application framework that provides a uniform abstraction for a wide range of NCPS applications, especially those concerned with distributed sensing, optimization, and control. The proposed framework provides a generic service to represent, manipulate, and share knowledge across the network under minimal assumptions on connectivity. Our framework is tested on a new distributed version of an evolutionary optimization algorithm that runs on a computing cluster and is also used to solve a dynamic distributed optimization problem in a simulated NCPS that uses mobile robots as controllable data mules.

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