Adam A Testbed for Distributed Virtual Environments

Sablatnig, Jan; Seiler, R.; Grottke, Sven; Köpke, Andreas; Wolisz, Adam

doi:10.1109/icdcs.workshops.2008.65

Cited by 3 publications

(6 citation statements)

References 13 publications

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“…On these links, packets are lost with a probability of 1 ‰. The packet delay is nearly fixed, but 1% of the packets experience a high delay, for details see [11]. Congestion is not modeled, but we measure network load, i.e.…”

Section: Experiments Setupmentioning

confidence: 99%

“…In this section, we briefly describe the experiment setup we used to answer these questions. For a full description we refer to our technical reports 2 [4,11].…”

Section: Experiments Setupmentioning

confidence: 99%

“…We ran two experiments, each repeated seven times, in our simulator Adam [11] -the Swarm scenario with eight bees for loose and optimistic consistency -for 5000 s with identical settings for loss rate at a fixed network load of 20 packets sent/s by each host. A packet is typically less than 100 bytes in size.…”

Section: Experiments Setupmentioning

confidence: 99%

“…Optimistic consistency as implemented in Adam is inspired by some of the newer approaches to distributed game consistency as seen in [10] or [8]. For the exact algorithm, refer to [4] and [11].…”

Section: Experiments Setupmentioning

confidence: 99%

See 3 more Smart Citations

Measures for Inconsistency in Distributed Virtual Environments

Grottke

Sablatnig²,

Seiler³

et al. 2008

2008 14th IEEE International Conference on Parallel and Distributed Systems

Self Cite

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In distributed virtual environments, hosts typically have to react to events within a time span which is less than the network latency. As a consequence, hosts do routinely take actions although the system is in an inconsistent state. This has a noticeable influence on the perceived quality of these actions and their effect on the application. We argue that the level of this influence depends on the degree of inconsistency. In this paper, we tackle two fundamental questions: How does the degree of inconsistency influence the perceived quality of the users' actions? How can the degree of inconsistency be quantified? We propose a benchmark test for comparing different consistency algorithms with each other which consists of two measures of inconsistency and a sample scenario. For two different consistency algorithms, we compare the results of our benchmark test with the results of a user evaluation test and a simple yield measure.

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Section: Experiments Setupmentioning

confidence: 99%

“…In this section, we briefly describe the experiment setup we used to answer these questions. For a full description we refer to our technical reports 2 [4,11].…”

Section: Experiments Setupmentioning

confidence: 99%

Section: Experiments Setupmentioning

confidence: 99%

Section: Experiments Setupmentioning

confidence: 99%

See 2 more Smart Citations

Measures for Inconsistency in Distributed Virtual Environments

Grottke

Sablatnig²,

Seiler³

et al. 2008

2008 14th IEEE International Conference on Parallel and Distributed Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…Haake, Schümmer, Haake, Bourimi & Landgraf, 2004Cikic, Jeschke, Ludwig & Sinha, 2007), virtual environments have not yet found wide recognition and circulation. The reasons for this are unknown but may have to do with the technical issue of very limited interactive possibilities when running a virtual environment over a network with noticeable delay (Sablatnig, Grottke, Köpke, Chen, Seiler & Wolisz, 2008). The implementations available for internet use today allow the users (or, rather, their avatars) to move around virtual environments, perform simple activation interactions and chat.…”

Section: The Future Of Online Worlds the Presentmentioning

confidence: 99%

Dealing with Multiple Truths in Online Virtual Worlds

Sablatnig

Lehmann-Grube

Grottke

et al. 2009

International Journal of Digital Crime and Forensics

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Virtual environments and online games are becoming a major market force. At the same time, the virtual property contained in these environments is being traded for real money and thus attains a real value. Although the legal issues involved with this virtual property have not yet been decided, they will have to be soon. It is foreseeable that the next generation of very large virtual worlds will carry the possibility of multiple truths existing at the same time. Under such circumstances, it will be impossible to physically protect virtual property. In order to protect virtual property, virtual environment systems will therefore have to conform to certain requirements. We analyze what these requirements are in order to either prevent cheating or at least prove a digital offence has transpired. Along with greater security, this will also simplify end user support, which is one of the major cost factors for online games.

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