Quality of service for networked virtual environments

Gračanin, Denis; Zhou, Yunxian; DaSilva, Luiz A.

doi:10.1109/mcom.2004.1284928

Cited by 16 publications

(10 citation statements)

References 7 publications

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“…For example, at the end-user level the QoS maps some subjective features like immersion, presence and comfort to measurable values. At the physical layer level, the QoS describes characteristics such as the bit error rate for a transmission link [15]. At the application level, the Web service QoS requirements define availability, accessibility, integrity, performance (measured in terms of throughput and latency), reliability, regularity and security [16].…”

Section: Quality Of Service For Remote Experimentationmentioning

confidence: 99%

End-to-end adaptation scheme for ubiquitous remote experimentation

Salzmann

Gillet

Müllhaupt

2007

Pers Ubiquit Comput

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Remote experimentation is an effective e-learning paradigm for supporting hands-on education using laboratory equipment at distance. The current trend is to enable remote experimentation in mobile and ubiquitous learning. In such a context, the remote experimentation software should enable effective telemonitoring and teleoperation, no matter the kind of device used to access the equipment. It should also be sufficiently lenient so as to handle the rapidly evolving wireless and mobile communication environment. While the current Internet bandwidth allows remote experimentation to work flawlessly on fixed connections such as LANs, mobile users suffer from both the versatile nature of wireless communications and the limitation of the mobile devices. These conditions impose that the remote experimentation software should integrate adaptation features. For effective ubiquitous remote experimentation, it should ideally be guaranteed that the information representing the state of the remote equipment is rendered (to the end user) at the same pace at which it has been acquired, yet possibly at the cost of a somewhat minimal time delay between the acquisition and rendering phases. In this respect, an end-to-end adaptation scheme is proposed that explicitly handles the inherent variability of the connection and the versatility of the mobile devices considered in ubiquitous remote experimentation. Instead of relying on a stochastic approach, the proposed adaptation scheme relies on a deterministic mass-balance equivalence model. The effectiveness of the proposed adaptation scheme is demonstrated in critical conditions corresponding to remote experimentation carried out using a PDA over a Bluetooth link.

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Section: Quality Of Service For Remote Experimentationmentioning

confidence: 99%

End-to-end adaptation scheme for ubiquitous remote experimentation

Salzmann

Gillet

Müllhaupt

2007

Pers Ubiquit Comput

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“…Delivering network performance in real-time groupware is a difficult task due to the diverse performance needs of the applications, and the situational factors that affect performance requirements [7]. There are many different genres of groupware (including games, whiteboards, conferencing systems, shared editors, virtual classrooms, and collaborative virtual environments), and each application can have multiple interaction techniques with diverse quality of service requirements.…”

Section: Groupware Network Performancementioning

confidence: 99%

Improving network efficiency in real-time groupware with general message compression

Gutwin

Fedak

Watson

et al. 2006

Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work

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Groupware communicates by sending messages across the network, and groupware programmers use a variety of formats for these messages, such as XML, plain text, or serialized objects. Although these formats have many advantages, they are often so verbose that they overload the system's network resources. Groupware programmers could improve efficiency by using more compact formats, but this efficiency comes at the cost of increased complexity, reduced convenience, and reduced readability. In this paper we propose an alternate approach for improving efficiencyan automatic compression system that transparently minimizes verbose formats. Our general message compressor -GMCautomatically finds and removes redundancy in message streams, without any knowledge of the contents or structure of the message, and without any need for the programmer to change the way they work. In tests with realistic message traces, GMC reduced text messages to 20% of their original size, XML messages to 8% of the original, and serialized objects to 9%. Although not as compact as a hand-coded representation, GMC provides most of the compression benefits with almost none of the work -it allows groupware programmers to use convenient message formats without compromising transport efficiency.

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“…need only implement up to the Network layer. In order to provide end-to-end QoS, there must be QoS mapping across layers and QoS concatenation along intermediate nodes as described by Gracanin et al (2004). QoS needs to be implemented along the whole dotted line of figure 3(a), since one missing link could prove to be enough of a bottleneck to spoil QoS efforts in other parts of the system.…”

Section: Prior Work and Applicable Qos Technologiesmentioning

confidence: 99%

“…Following this pattern, each node in the path will become a client for the following node, which will apply its own independent admission control policy based on its current QoS measurements. Once an end-to-end flow is established, the QoS offered to the channel results in the concatenation of the QoS provided by each node, which in this case results in the addition of the individual predicted delays (Gracanin et al 2004).…”

Section: Multi-hop Admission Controlmentioning

confidence: 99%

“…Similarly, if the WAN deploys IP-QoS schemes such as DiffServ, or if some of the subnets are implemented as QoS-enabled WLANs, the offered QoS can be analytically mapped and composed through the layers. Analytical cross-layer mapping and multi-hop concatenation of QoS parameters is covered further by Gracanin et al (2004).…”

Section: Priority Qos-enabled Camx Framework Simulatormentioning

confidence: 99%

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Quality of service for CAMX middleware

Delamer

Lastra

2006

International Journal of Computer Integrated Manufacturing

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Computer-aided manufacturing (CAM) using extensible markup language (XML) (CAMX) standards are enabling the vision of the plug & play factory for the electronics production industry. One of the implementation challenges of CAMX-message-oriented middleware for device and system communication is that of providing quality of service at the message layer. This paper analyses processes and traffic models in CAMX production environments and proposes an abstract model for quality of service. An effective implementation of this infrastructure is analysed through simulation in order to validate the proposed approach to quality of service. An approach to map quality of service at the CAMX layer to the network and data-link layers is also presented.

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Quality of service for networked virtual environments

Cited by 16 publications

References 7 publications

End-to-end adaptation scheme for ubiquitous remote experimentation

End-to-end adaptation scheme for ubiquitous remote experimentation

Improving network efficiency in real-time groupware with general message compression

Quality of service for CAMX middleware

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