2015
DOI: 10.1109/tmm.2015.2430817
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Efficient 3-D Scene Prefetching From Learning User Access Patterns

Abstract: Rendering large-scale 3-D scenes on a thin client is attracting increasing attention with the development of the mobile Internet. Efficient scene prefetching to provide timely data with a limited cache is one of the most critical issues for remote 3-D data scheduling in networked virtual environment applications. Existing prefetching schemes predict the future positions of each individual user based on user traces. In this paper, we investigate scene content sequences accessed by various users instead of user … Show more

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Cited by 4 publications
(3 citation statements)
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“…Representation of the possible attacks per layer in an IIoT architecture challenges from a usability perspective in the design of these systems. An intriguing challenge is to produce an access control system for IoT while utilizing our natural intuition about physical objects as most of the previous access control systems still utilize files and processes, and virtual objects [49].…”
Section: Security Challengesmentioning
confidence: 99%
“…Representation of the possible attacks per layer in an IIoT architecture challenges from a usability perspective in the design of these systems. An intriguing challenge is to produce an access control system for IoT while utilizing our natural intuition about physical objects as most of the previous access control systems still utilize files and processes, and virtual objects [49].…”
Section: Security Challengesmentioning
confidence: 99%
“…To limit the amount of memory used by the client, a cache is employed whose replacement strategy strives to maintain content that has the highest probability of being viewed. Zhou et al propose a prefetching system that leverages a prediction algorithm to anticipate the users' movements in the 3D environment [11]. The prediction algorithm is generated by exploiting the similarities between users' access patterns for the same scene.…”
Section: Related Workmentioning
confidence: 99%
“…In this paper, we proposed to model the LOD adaptation problem similar to a video rate adaptation problem, which opens up the possibility to re-factor existing adaptive video heuristics for the AR domain. Differently from video though, an AR client can be equipped with a local, limited memory cache where the objects are temporarily stored [11]. This caching policy should be designed in conjunction with the LOD adaptation heuristic to minimize expensive re-transmissions of the same content.…”
Section: B Open Research Questionsmentioning
confidence: 99%