Design of distributed microcell-based MMOG hosting platforms: impact study of dynamic relocations

Bossche, Bruno Van Den; Vleeschauwer, Bart De; Turck, Filip De; Dhoedt, Bart; Demeester, Piet

doi:10.1007/s10586-010-0140-9

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…The suggested methods by Marzolla et al, Negrãlo et al, Van Den Bossche et al, and Alaei and Safi‐Esfahani fall in the first category. Marzolla et al proposed an adaptive resource provisioning approach, which can reconfigure the resource pool to adapt to workload fluctuations of MMOG applications and meet the QoS requirements.…”

Section: Related Workmentioning

confidence: 99%

“…Their experimental results indicate high resource efficiency with a reduced game supporting cost. Van Den Bossche et al introduced the concept of microcells in the development of an autonomic MMOG hosting platform in online virtual environments. By applying the microcell concept, the MMOG platform allows additional VMs to be assigned when required.…”

Section: Related Workmentioning

confidence: 99%

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A self‐learning fuzzy approach for proactive resource provisioning in cloud environment

2019

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The development of a communication infrastructure has made possible the expansion of the popular massively multiplayer online games. In these games, players all over the world can interact with one another in a virtual environment.The arrival rate of new players to the game environment causes fluctuations and players always expect services to be available and offer an acceptable service-level agreement (SLA), especially in terms of response time and cost.Cloud computing emerged in the recent years as a scalable alternative to respond to the dynamic changes of the workload. In massively multiplayer online games applications, players are allowed to lease resources from a cloud provider in an on-demand basis model. Proactive management of cloud resources in the face of workload fluctuations and dynamism upon the arrival of players are challenging issues. This paper presents a self-learning fuzzy approach for proactive resource provisioning in cloud environment, where key is to predict parameters of the probability distribution of the incoming players in each period. In addition, we propose a self-learning fuzzy autoscaling decision-maker algorithm to compute the proper number of resources to be allocated to each tier in the massively multiplayer online games by applying the predicted workload and user SLA. We evaluate the effectiveness of the proposed approach under real and synthetic workloads. The experimental results indicate that the proposed approach is able to allocate resources more efficiently than other approaches.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A self‐learning fuzzy approach for proactive resource provisioning in cloud environment

2019

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“…These algorithms Must face a number of challenges and have as a central goal to keep the load experienced by the servers below a given threshold. Particularly, the authors present a number of algorithms that determine the microcell allocation and runtime adaptations of the microcell allocation to optimize the deployment [18].…”

Section: Related Workmentioning

confidence: 99%

Research on Multicast Reliability in Distributed Virtual Environment

Yan-jun¹,

Ouyang

2013

JNW

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This paper proposes a novel multicast reliability algorithm in distributed virtual environment. Firstly, architecture of the distributed virtual environment system is made up of three layers, which are 1) Layer 1 is made up of distributed virtual environment server, which can transmit information from internet to clients, 2) Layer 2 is constructed by clients, which are connected to a specific server and can only solve a specific task, and 3) Layer 3 are tasks which should be solved by the distributed virtual environment system. Afterwards, the multicast problem of distributed virtual environment can be converted into a tree network with several nodes, of which the key issue is how to obtain a multicast strategy with the maximum reliability satisfying several constraints. Then, a multicast reliability algorithm for the distributed virtual environment system is present by finding key nodes and key paths in the tree network. Finally, experiments are conducted by both the performance evaluation metric “average cost” and “blocking probability” to demonstrate the effectiveness of the proposed algorithm

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LARPA: A learning automata‐based resource provisioning approach for massively multiplayer online games in cloud environments

Aslanpour

Ghobaei‐Arani

Heydari

et al. 2019

Int J Communication

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Nowadays, with the development of communication systems, massively multiplayer online games (MMOGs) have become very popular. In these games, the players all over the world dynamically interact with each other by sending play actions such as shootings, movements, or chatting in the form of MMOG sessions in real time through a large-scale distributed environment. Leveraging affordable cloud computing to host such services is a widely investigated issue. It is because the arrival rate of players to the game environment has to make fluctuations, and the players expect services to be always available with an acceptable quality of service (QoS), especially in terms of the response time. Therefore, the dynamic provisioning of resources in order to deal with fluctuating demands due to variability in the arrival rate of players of the MMOG services is highly recommended. In this paper, we propose a learning-based resource provisioning approach for MMOG services that is based on the combination of the autonomic computing paradigm and learning automata (LA). The remarkable performance of the proposed approach in terms of response time, cost, and allocated virtual machines (VMs) is assessed through simulation and comparison with the existing approaches.

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Design of distributed microcell-based MMOG hosting platforms: impact study of dynamic relocations

Cited by 6 publications

References 29 publications

A self‐learning fuzzy approach for proactive resource provisioning in cloud environment

A self‐learning fuzzy approach for proactive resource provisioning in cloud environment

Research on Multicast Reliability in Distributed Virtual Environment

LARPA: A learning automata‐based resource provisioning approach for massively multiplayer online games in cloud environments

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