Transition-enabled event dissemination for pervasive mobile multiplayer games

Richerzhagen, Björn; Schiller, Marc; Lehn, Max; Lapiner, Denis; Steinmetz, Ralf

doi:10.1109/wowmom.2015.7158179

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…The idea of mechanism transitions origins from the collaborative research centre MAKI, in which researchers investigate mechanism transitions for the Future Internet [18]. Within MAKI, mechanism transitions are investigated in the context of a wide range of communication mechanisms [80][81][82]36,83]. For example, in publish-subscribe systems, mechanism transitions between filtering schemes [80] and event dissemination mechanisms [81] are studied.…”

Section: Mechanism Transitionsmentioning

confidence: 99%

“…Within MAKI, mechanism transitions are investigated in the context of a wide range of communication mechanisms [80][81][82]36,83]. For example, in publish-subscribe systems, mechanism transitions between filtering schemes [80] and event dissemination mechanisms [81] are studied. Another line of work by Froemmgen et al [84,36] proposed transition strategies that always execute the best suitable search overlay.…”

Section: Mechanism Transitionsmentioning

confidence: 99%

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TCEP: Transitions in operator placement to adapt to dynamic network environments

Luthra

Koldehofe

Danger

et al. 2021

Journal of Computer and System Sciences

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Distributed Complex Event Processing (DCEP) is a commonly used paradigm to detect and act on situational changes of many applications, including the Internet of Things (IoT). DCEP achieves this using a simple specification of analytical tasks on data streams called operators and their distributed execution on a set of infrastructure. The adaptivity of DCEP to the dynamics of IoT applications is essential and very challenging in the face of changing demands concerning Quality of Service. In our previous work, we addressed this issue by enabling transitions, which allow for the adaptive use of operator placement mechanisms. In this article, we extend the transition methodology by optimizing the costs of transition and analyzing the behavior using multiple operator placement mechanisms. Furthermore, we provide an extensive evaluation on the costs of transition imposed by operator migrations and learning, as it can inflict overhead on the performance if operated uncoordinatedly.

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Section: Mechanism Transitionsmentioning

confidence: 99%

Section: Mechanism Transitionsmentioning

confidence: 99%

TCEP: Transitions in operator placement to adapt to dynamic network environments

Luthra

Koldehofe

Danger

et al. 2021

Journal of Computer and System Sciences

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show abstract

“…The idea of mechanism transitions origins from the collaborative research center MAKI, in which researchers investigate mechanism transitions for the Future Internet [29]. Within MAKI, mechanism transitions are investigated in the context of a wide range of communication mechanisms [15,[30][31][32][33]. For example in publish-subscribe systems, mechanism transitions between ltering schemes [30] and event dissemination mechanisms [31] are studied.…”

Section: Mechanism Transitionsmentioning

confidence: 99%

“…Within MAKI, mechanism transitions are investigated in the context of a wide range of communication mechanisms [15,[30][31][32][33]. For example in publish-subscribe systems, mechanism transitions between ltering schemes [30] and event dissemination mechanisms [31] are studied. Another line of work by Froemmgen et al [14,15] proposed transition strategies to always execute the best suitable search overlay.…”

Section: Mechanism Transitionsmentioning

confidence: 99%

Tcep

Luthra

Koldehofe

Weisenburger

et al. 2018

Proceedings of the 12th ACM International Conference on Distributed and Event-Based Systems

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Operator placement has a profound impact on the performance of a distributed complex event processing system (DCEP). Since the behavior of a placement mechanism strongly depends on its environment; a single placement mechanism is often not enough to ful ll stringent performance requirements under environmental changes. In this paper, we show how DCEP can bene t from the adaptive use of multiple placement mechanisms. We propose T , a DCEP system to integrate multiple placement mechanisms. By enabling transitions, T can seamlessly exchange distinct operator mechanisms at runtime. We make two main contributions that are highly important for a cost-e cient transition: i) a transition strategy for e ciently scheduling state migrations and ii) a lightweight learning algorithm to adaptively select an appropriate placement mechanism as a consequence of a transition. Our evaluations for important decentralized placement mechanisms in the context of an IoT scenario show that transitions can better ful ll QoS demands in a dynamic environment. Thereby, e cient scheduling of state migrations can help to faster complete transitions by up to 94 %. CCS CONCEPTS• Computer systems organization → Distributed architectures; • Networks → Network dynamics;

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“…Furthermore, user movement and behavior is of primary interest as it directly determines the workload and, thus, the performance of the system. To collect realistic user traces that can then be used for larger scale simulations, an actual game is implemented using the Simonstrator Android runtime [10]. The game communicates with a central server (running within the standalone environment) using our communication middleware.…”

Section: Augmented Reality Gamingmentioning

confidence: 99%