JXTA: a technology facilitating mobile peer-to-peer networks

Maibaum, Nico; Mundt, Thomas

doi:10.1109/mobwac.2002.1166946

Cited by 33 publications

(17 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Examples of entity classes include peer-to-peer (P2P) protocols, IP stacks, and connectivities. The entity class of P2P protocols could contain entities such as JXTA [6] and XMPP [7]. Let there be N entity classes in total within a device.…”

Section: Holistic Connectivity Frameworkmentioning

confidence: 99%

Top-Down Connectivity Policy Framework for Mobile Peer-to-Peer Applications

Kassinen¹,

Ylianttila²,

Sun³

et al. 2007

2007 4th IEEE Consumer Communications and Networking Conference

View full text Add to dashboard Cite

Abstract-Selection of optimal network connectivity in mobile telecommunications is an important field of study. There are more parameters to consider than mere selection of physical connectivities. For optimal vertical connectivity selections, a cross-layer approach is needed. This paper presents a formulation for the Holistic Connectivity framework, which, when applied in a mobile middleware solution, enables seamless top-down connectivity management in mobile consumer products. The solution has emphasis on peer-to-peer networking. Connectivity policy management extends the context-aware connectivity management framework developed earlier at the University of Oulu, Finland. Technical and functional scenarios for the proposed framework are discussed, and preliminary experimental results with realtime traffic are provided for supporting further design and requirement specification.

show abstract

Section: Holistic Connectivity Frameworkmentioning

confidence: 99%

Top-Down Connectivity Policy Framework for Mobile Peer-to-Peer Applications

Kassinen¹,

Ylianttila²,

Sun³

et al. 2007

2007 4th IEEE Consumer Communications and Networking Conference

View full text Add to dashboard Cite

show abstract

“…Alchemi is designed for deployment on personal computers: computation cycles are only shared when the computer is idle. JXTA [9] is a framework for developing distributed applications based on a peer-to-peer topology. Its layered architecture provides abstractions of low-level protocols along with services such as host discovery, data sharing, and security.…”

Section: 1mentioning

confidence: 99%

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

Mattmann

Malek

Beckman

et al. 2005

Advances in Grid Computing - EGC 2005

View full text Add to dashboard Cite

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.

show abstract

“…At present, most P2P models are based on the wired communication method of static IP modes such as the Internet. However, P2P computing is gradually moving towards wireless networking environment between mobile devices according as wireless networking technology advances [4], and mobile P2P computing will provide new communication services such as location-based services and social computing, using LAN [5]. On the other hand, we should resolve the conventional problems of mobile computing such as the limitations of wireless communication (communication network, irregular bandwidth, frequent interruption, etc.,) and the problems of mobile device itself (CPU, keyboard, battery, memory, and display) [6].…”

Section: Introductionmentioning

confidence: 99%