Issues in the design of a scalable shared virtual environment for the Internet

Lea, Rodger; Honda, Yukiko; Matsuda, Keisuke; Hagsand, Olof; Stenius, Mårten

doi:10.1109/hicss.1997.667432

Cited by 14 publications

(12 citation statements)

References 21 publications

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“…Virtual Society [6] adopts a simple locking mechanism as its concurrency control like DIVE. It locks objects when it wishes to manipulate them, updates are made and on release the updates are propagated to the replicas.…”

Section: Related Workmentioning

confidence: 99%

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Scalable prediction based concurrency control for distributed virtual environments

Yang

Lee²

Proceedings IEEE Virtual Reality 2000 (Cat. No.00CB37048)

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Replication is often used to provide the users of distributed virtual environments with high performance interactions. Concurrency control is required to avoid inconsistency views among replicas due to multiple concurrent updates. The prediction based concurrency control scheme has been developed to allow real time interactions for users and eliminate the need for repairs. The existing scheme does not scale in terms of delivering an ownership on time as the number of users increases. In this paper we propose a scalable prediction based concurrency control scheme with an entity-centric multicast: only the users surrounding a target entity do multicast the ownership requests by using the multicast address assigned to the entity. The experimental results and analysis show that the proposed scheme achieves the benefits of prediction based concurrency control with efficiency and scalability for large distributed virtual environments.

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Section: Related Workmentioning

confidence: 99%

“…It is simple and guarantees consistency [2]. This scheme is used in many existing virtual environment systems [3,6,9,13,17]. However, as communication delay becomes high, the interactions of users may be interrupted.…”

Section: Introductionmentioning

confidence: 99%

Scalable prediction based concurrency control for distributed virtual environments

Yang

Lee²

Proceedings IEEE Virtual Reality 2000 (Cat. No.00CB37048)

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“…It defines the specification for exchanging the shared information. Moreover, several virtual reality systems take multi-user aspects into consideration [4,5,6]. In these systems, participants exchange avatar's motion and behavior as well as the descriptions of virtual spaces.…”

Section: Introductionmentioning

confidence: 99%

“…However, few works [3,4,5,6] consider the scalability of the system in terms of the performance of the network and the end system, although most systems provide the scalability for large scale virtual environment.…”

Section: Introductionmentioning

confidence: 99%

A quality control mechanism for networked virtual reality system with video capability

Fujikawa

Oh²,

Shimojo³

et al.

Proceedings. IEEE International Conference on Multimedia Computing and Systems (Cat. No.98TB100241)

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Introduction of motion video including live video into networked virtual reality systems makes virtual spaces more attractive. To handle live video in networked virtual reality systems based on VRML, the scalability of networked virtual reality systems becomes very important on the Internet where the performance of the network and the end systems varies dynamically. In this paper, we propose a new quality control mechanism suitable for networked virtual reality systems with live video capability. Our approach is to introduce the notion of the importance of presence (IoP) which represents the importance of objects in virtual spaces. According to IoP, the degree of the deterioration of object presentation will be determined in case of the starvation of system resources.

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“…Moreover, we make explicit the need for systems built on these foundations to be able to "play well with others" and interact effectively with entrenched or idiosyncratic applications and work practices. One other class of applications that we are aware of already more or less ascribes to this model, shared virtual worlds [24]. In these environments, the world model is, in fact, separated from the front-end application and, whether distributed or centralized, is managed via a series of transactions between the client and server(s).…”

Section: The Dkc Modelmentioning

confidence: 99%

Data-knowledge-context: an application model for collaborativework

Iverson

IRI -2005 IEEE International Conference on Information Reuse and Integration, Conf, 2005.

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For many years, researchers and software developers have been seeking to develop systems and applications to enable efficient and effective group work and organizational memory. The systems proposed and developed have in many respects had little impact on the effectiveness of group activities outside the laboratory. Other researchers have identified many of the challenges that groupware systems face, but these insights have done little to structure subsequent research.We suggest that these difficulties are primarily due to an operating system model and a model of application development that has significantly restricted the ability of users to properly manage their own data and work products much less share them with others. Moreover, it is nearly impossible to effectively integrate collaborative activities with natural practices of work and communication. Instead, we propose an alternative system architecture, the DKC model, that places HCI, knowledge representation and management, and distributed, hypertext operating systems in a coordinated structure. We clearly delineate the roles of each of these aspects within the whole, collaborative environment. By adopting this model, we suggest that researchers and developers of both single-user and collaborative systems will be able to design effective, multi-platform, multi-application, and multi-workplace collaborative environments that may finally have some impact beyond the laboratory.

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Issues in the design of a scalable shared virtual environment for the Internet

Cited by 14 publications

References 21 publications

Scalable prediction based concurrency control for distributed virtual environments

Scalable prediction based concurrency control for distributed virtual environments

A quality control mechanism for networked virtual reality system with video capability

Data-knowledge-context: an application model for collaborativework

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