Operation analysis of massively multiplayer online games on unreliable resources

Prodan, Radu; Iosup, Alexandru

doi:10.1007/s12083-015-0383-6

Cited by 9 publications

(10 citation statements)

References 29 publications

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“…The open-source software R 3.5.1 with packages ''Matching'' version 4.9-3 was used in the propensity score matching process. 8,9 After assessing balance, the matched cohort was exported for use with SPSS Statistics Version 25.0 (Armonk, NY) for further statistical analysis. Evaluation of differences in outcomes between the two groups after matching was done by using paired tests: 10…”

Section: Discussionmentioning

confidence: 99%

Transthoracic Versus Transhiatal Esophagectomy for Esophageal Cancer: A Nationwide Propensity Score-Matched Cohort Analysis

et al. 2020

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Background Chemoradiation followed by resection has been the standard therapy for resectable (cT1-4aN0-3M0) esophageal carcinoma in the Netherlands since 2010. The optimal surgical approach remains a matter of debate. Therefore, the purpose of this study was to compare the transhiatal and the transthoracic approach concerning morbidity, mortality and oncological quality. Methods Data was acquired from the Dutch Upper GI Cancer Audit. Patients who underwent esophagectomy with curative intent and gastric tube reconstruction for mid/distal esophageal or esophagogastric junction carcinoma (cT1-4aN0-3M0) from 2011 to 2016 were included. Patients who underwent a transthoracic and transhiatal esophagectomy were compared after propensity score matching. Results After propensity score matching, 1532 of 4143 patients were included for analysis. The transthoracic approach yielded more lymph nodes (transthoracic median 19, transhiatal median 14; p < 0.001). There was no difference in the number of positive lymph nodes, however, the median (y)pN-stage was higher in the transthoracic group (p = 0.044). The transthoracic group experienced more chyle leakage (9.7% vs. 2.7%, p < 0.001), more pulmonary complications (35.5% vs. 26.1%, p < 0.001), and more cardiac complications (15.4% vs. 10.3%, p = 0.003). The transthoracic group required a longer hospital stay (median 14 vs. 11 days, p < 0.001), ICU stay (median 3 vs. 1 day, p < 0.001), and had a higher 30-day/in-hospital mortality rate (4.0% vs. 1.7%, p = 0.009). Conclusions In a propensity score-matched cohort, the transthoracic esophagectomy provided a more extensive lymph node dissection, which resulted in a higher lymph node yield, at the cost of increased morbidity and short-term mortality.

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Section: Discussionmentioning

confidence: 99%

Transthoracic Versus Transhiatal Esophagectomy for Esophageal Cancer: A Nationwide Propensity Score-Matched Cohort Analysis

et al. 2020

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“…It is also characterized by its real time requirements to ensure an immersive game-play experience. Unfortunately, as the number of connected subscribers increases, the resource load generated by a game server may induce a degradation of game-play experience making the game unplayable to players who eventually quit [18]. Typically, to ensure the QoS requirements of its widely distributed subscribers at all times, MMOG operators maintain a rigid multi-server distributed infrastructure with -oftenover-provisioned computational and network capabilities.…”

Section: A Overviewmentioning

confidence: 99%

“…Such design increases operational costs due to potential resource under-utilization and/or capacity shortages caused by sudden peaks in demands [19]. Alternatively, cloud based MMOG has been increasingly advocated to solve some of these issues [18]. Also, in order to serve several concurrent players into a unique game session, a current practice is to parallelize the game server code and distribute the load across multiple resources, through techniques such as zoning, in which the game world is geographically partitioned into disjoint zones that can be assigned to different autonomous computing resources [18].…”

Section: A Overviewmentioning

confidence: 99%

Market Driven Multidomain Network Service Orchestration in 5G Networks

Dieye

Jaafar

Elbiaze

et al. 2020

IEEE J. Select. Areas Commun.

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The advent of a new breed of enhanced multimedia services has put network operators into a position where they must support innovative services while ensuring both end-to-end Quality of Service requirements and profitability. Recently, Network Function Virtualization (NFV) has been touted as a cost-effective underlying technology in 5G networks to efficiently provision novel services. These NFV-based services have been increasingly associated with multi-domain networks. However, several orchestration issues, linked to cross-domain interactions and emphasized by the heterogeneity of underlying technologies and administrative authorities, present an important challenge. In this paper, we tackle the cross-domain interaction issue by proposing an intelligent and profitable auction-based approach to allow inter-domains resource allocation.

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“…As to the second category algorithms, Prodan and Iosup proposed a modern MMOG ecosystem including end users, game providers, game operators, and cloud resource providers, for hosting MMOGs in cloud environments automatically. They developed an MMOG simulator that emulates the behavior of the four agents by applying traces collected from a real‐life MMOG.…”

Section: Related Workmentioning

confidence: 99%

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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Operation analysis of massively multiplayer online games on unreliable resources

Cited by 9 publications

References 29 publications

Transthoracic Versus Transhiatal Esophagectomy for Esophageal Cancer: A Nationwide Propensity Score-Matched Cohort Analysis

Transthoracic Versus Transhiatal Esophagectomy for Esophageal Cancer: A Nationwide Propensity Score-Matched Cohort Analysis

Market Driven Multidomain Network Service Orchestration in 5G Networks

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

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