A multi-server architecture for distributed virtual walkthrough

Ng, Beatrice; Si, Antonio; Lau, Rynson W. H.; Li, Frederick W. B.

doi:10.1145/585740.585768

Cited by 82 publications

(41 citation statements)

References 18 publications

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“…In [27] and [28], an efficient local method is proposed. When a server is overloaded, it identifies the neighboring servers with the lightest loads for load redistribution.…”

Section: Local Load Balancingmentioning

confidence: 99%

“…Instead of just finding neighboring servers, this method identifies a set of connected servers to the overloaded server and performs optimized repartitioning of the corresponding partitions to achieve better load balancing. As a result, this method has a higher computational cost than [27]. In [6], a local method that considers QoS is proposed.…”

Section: Local Load Balancingmentioning

confidence: 99%

See 1 more Smart Citation

On View Consistency in Multi-Server Distributed Virtual Environments

Lau

et al. 2014

IEEE Trans. Visual. Comput. Graphics

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A distributed virtual environment (DVE) is a shared virtual environment (VE) that allows remote users to interact with each other through networks. DVEs are becoming very popular due to some prominent applications, such as online games and virtual worlds. To support a large number of users, a multi-server DVE architecture may be adopted, with each server managing a subset of users. However, there are two critical problems with this architecture: view inconsistency caused by delays and server overloading caused by uneven distribution of users. While the first problem affects users' perception of the VE and causes user disputes, the second problem affects the system response time. In this paper, we first show that the view inconsistency problem and the load balancing problem are conflicting objectives. We then propose an efficient joint optimization framework to address both problems. Our results show that the proposed method can improve the view inconsistency problem significantly, which is important to the interactivity of DVE applications.

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“…In [27] and [28], an efficient local method is proposed. When a server is overloaded, it identifies the neighboring servers with the lightest loads for load redistribution.…”

Section: Local Load Balancingmentioning

confidence: 99%

Section: Local Load Balancingmentioning

confidence: 99%

On View Consistency in Multi-Server Distributed Virtual Environments

Lau

et al. 2014

IEEE Trans. Visual. Comput. Graphics

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“…In this article, we advocate to use the two methods as an integral scheme to conduct cache in a MP2P network. There are also related problems including prediction, synchronization and multi-server support that need to be considered [3,10,11].…”

Section: Cache Updatementioning

confidence: 99%

Benefit based cache data placement and update for mobile peer to peer networks

Chen

2010

World Wide Web

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Mobile Peer to Peer (MP2P) networks provide decentralization, selforganization, scalability characters, but suffer from high latency and link break problems. In this paper, we study the cache/replication placement and cache update problems arising in such kind of networks. While researchers have proposed various replication placement algorithms to place data across the network to address the problem, it was proven as NP-hard. As a result, many heuristic algorithms have been brought forward for solving the problem. In this article, we propose an effective and low cost cache placement strategy combined with an update scheme which can be easily implemented in a decentralized way. The contribution of this paper is the adaptive and flexible cache placement and update algorithms designed for real MP2P network usage. The combination of MP2P cache placement and update is the novelty of this article. Extensive experiments are conducted to demonstrate the efficiency of the cache placement and update scheme.

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“…In terms of object editing, the server receives bone sketching from users, performs skeleton generation and propagates resultant skeleton to relevant users. Our platform can be further enhanced to support a large-scale collaborative work by employing our previously developed multi-server architecture [30] to construct the server. & Object transmission: Before mesh processing can be started, the user needs to download relevant 3D objects from the server.…”

Section: System Architecture Of Our Collaborative Platformmentioning

confidence: 99%

A mobile environment for sketching-based skeleton generation

Zheng

2010

World Wide Web

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Articulated character animation is typically performed by manually creating and rigging a skeleton into an unfolded 3D object. However, such tasks are not trivial, as they require a substantial amount of training and practices. Although automatic skeleton extraction methods have been proposed, they generally may not guarantee that the resulting skeleton can help produce desired animations according to user intention. In this paper, we present a sketching-based skeleton generation method suitable for use in the mobile environment. This method takes user sketching as an input, and based on the mesh segmentation result of a 3D object, it estimates a skeleton for articulated character animation. In addition, we are currently developing a Web-based mobile platform to support mesh editing by a group of collaborative users and we depict the system architecture of such a platform. Results show that our method can produce better skeletons in terms of joint positions and topological structure.

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A multi-server architecture for distributed virtual walkthrough

Cited by 82 publications

References 18 publications

On View Consistency in Multi-Server Distributed Virtual Environments

On View Consistency in Multi-Server Distributed Virtual Environments

Benefit based cache data placement and update for mobile peer to peer networks

A mobile environment for sketching-based skeleton generation

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