Guest Editors' Introduction: Wireless Grids--Distributed Resource Sharing by Mobile, Nomadic, and Fixed Devices

McKnight, Lee W.; Howison, James; Bradner, S.

doi:10.1109/mic.2004.14

Cited by 123 publications

(91 citation statements)

References 3 publications

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“…Given the central role that software architectures have played in engineering largescale distributed systems [14], we hypothesize that their importance will only grow in the even more complex (grid-enabled) DREAM environments. This is corroborated by the preliminary results from several recent studies of software architectural issues in embedded, mobile, and ubiquitous systems [10,16,21]. In order for architectural models to be truly useful in any development setting, they must be accompanied by support for their implementation [10].…”

Section: Introductionmentioning

confidence: 66%

GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments

Mattmann

Malek

Beckman

et al. 2005

Advances in Grid Computing - EGC 2005

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Abstract. The promise of the grid is that it will enable public access and sharing of immense amounts of computational and data resources among dynamic coalitions of individuals and institutions. However, the current grid solutions make several limiting assumptions that curtail their widespread adoption in the emerging decentralized, resource constrained, embedded, autonomic, and mobile (DREAM) environments: they are designed primarily for highly complex scientific problems, and therefore require powerful hardware and reliable network connectivity; additionally, they provide no application design support to grid users (e.g., scientists). To address these limitations, we present GLIDE, a prototype light-weight, data-intensive middleware infrastructure that enables access to the robust data and computational power of the grid on DREAM platforms. We illustrate GLIDE on an example file sharing application. We discuss our early experience with GLIDE and present a set of open research questions.

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Section: Introductionmentioning

confidence: 66%

GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments

Mattmann

Malek

Beckman

et al. 2005

Advances in Grid Computing - EGC 2005

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“…Ref. (Hingne et al, 2003;McKnight et al, 2004;Vanneschi & Veraldi, 2007) present a set of distributed computing models that try to address the context-awareness problem; it is important to note that this aspect is strictly related to the self-adaptiveness problem because if a change in the computing resource set is detected (e.g., a CPU is overloaded or a PDA battery is exhausted) the distributed application should react to this change in order to preserve, e.g., the integrity of a result in a distributed problem solving process. This problem has been addressed in two ways:…”

Section: Strategies For Pervasive Grid Computingmentioning

confidence: 99%

Wireless Communication Protocols for Distributed Computing Environments

Fantacci¹,

Tarchi²,

Tassi³

2011

Advanced Trends in Wireless Communications

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Physical limitations on wireless communication channels impose huge challenges to reliable communication.Bandwidth limitations, propagation loss, noise and interference make the wireless channel a narrow pipe that does not readily accommodate rapid flow of data. Thus, researches aim to design systems that are suitable to operate in such channels, in order to have high performance quality of service. Also, the mobility of the communication systems requires further investigations to reduce the complexity and the power consumption of the receiver. This book aims to provide highlights of the current research in the field of wireless communications. The subjects discussed are very valuable to communication researchers rather than researchers in the wireless related areas. The book chapters cover a wide range of wireless communication topics.

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“…Wireless grid architecture is mainly consisted of backbone networks and wireless ad hoc sub networks, partially similar to P2P network [11]. To [3], wireless grids are limited by the device resources, and there is a typical architecture that a backbone grid comprised of wired and fixed grid devices, several access grid comprised of wireless devices which can access the processing, storage, bandwidth of backbone grid.…”

Section: Wireless Grid Architecturementioning

confidence: 99%

Architecture to Integrate Broadband Access Networks and Wireless Grids

Pereira

2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Today, the access networks face two main challenges: the increasing bandwidth demand and mobility trends. All this will require fundamental changes to the operations of access networks, the functionality of network nodes and the architecture itself. By other side, the evolution of computing and communication networks toward decentralized and distributed systems implies that all the intelligence is on the edge nodes of the networks. Integrating wireless devices with the traditional wired grid infrastructure will allow the access (transfer, processing, etc) to the information that is now scattered across the different devices. In this paper, we present a new architecture and a cost model to support the new requirements of broadband access (fixed and nomadic users) and wireless grids in an integrated way

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Guest Editors' Introduction: Wireless Grids--Distributed Resource Sharing by Mobile, Nomadic, and Fixed Devices

Cited by 123 publications

References 3 publications

GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments

GLIDE: A Grid-Based Light-Weight Infrastructure for Data-Intensive Environments

Wireless Communication Protocols for Distributed Computing Environments

Architecture to Integrate Broadband Access Networks and Wireless Grids

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