Know Thy Lag: In-Network Game Detection and Latency Measurement

Madanapalli, Sharat Chandra; Gharakheili, Hassan Habibi; Sivaraman, Vijay

doi:10.1007/978-3-030-98785-5_17

Cited by 7 publications

(8 citation statements)

References 11 publications

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“…To capitalize on that, ISPs should take advantage of the current market opportunities and benefit from providing smart internet and networking solutions that can improve the gaming experience of their users. Studies have shown that smart solutions have proven to be able to monitor, diagnose and troubleshoot user networking and internet problems [1] [8] [9] [10]. These implementations may also have a positive effect on ISPs, where smart systems can automatically diagnose and troubleshoot user problems, leading to operational efficiency and decreased overheads for technical support staff.…”

Section: Of 19mentioning

confidence: 99%

“…Unfortunately, for games that are unavailable in their local region, gamers are forced to play in another region and accept the latency penalty. Most gamers are aware of the connectivity issues caused by internet quality and geographical location, and the most common misconception of online gaming is that they need to have an extremely fast internet connection to play online when an average internet speed (10 -50Mbps) is good enough [1]. However, some major ISPs in Malaysia claim that the ideal internet speed for gaming is 300Mbps to 1Gbps, which could potentially indicate poor bandwidth management, poor network routing and ISP throttling for their lower-level internet plans [2] [3] [4].…”

Section: Introductionmentioning

confidence: 99%

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1-Click Gamer Network Optimization Tool

JosephNg¹,

Ho²,

Phan³

2023

Preprint

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In the fast-paced internet world that we live in today, internet technologies and tools that enable us to connect online are rapidly changing and improving. To adapt to the changing environment, many game developers are changing their business models to adjust to this online environment by developing games that are centred around online gaming. As such, the internet demands of consumers such as gamers are increasing because of the need for quality internet connection for optimal gameplay. There are too many factors that can affect online gameplay. Moreover, not all gamers are equipped with the network knowledge and skills to diagnose and troubleshoot any internet issues that may arise during their gameplay session. The main contribution of this research was to gather insights from Malaysian broadband internet consumers, mainly from gamers and general users regarding their opinions of their ISP service experience in gaming, general use and service quality. A 1-click solution is presented as a smart autonomous network monitoring tool that can autonomously monitor, diagnose, and troubleshoot network problems with minimal input from the user. This research was conducted using a mixed-mode research methodology where the participants were asked to fill up a questionnaire regarding the user experience of their Internet Service Provider (ISP), and their perception of the 1 click-automated networking tool for their personal use. It is shown that there is a market demand for a 1 click-automated networking tool as gamers and general users both agree that such a tool would be beneficial to them by improving the internet quality of a network.

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Section: Of 19mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

1-Click Gamer Network Optimization Tool

JosephNg¹,

Ho²,

Phan³

2023

Preprint

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“…Such flows are sent to certain port numbers and with unique payload size sequences of their first several (e.g., four to seven) upstream packets. These packets carry initial messages specific to the requested services, similar in spirit to multiplayer gaming applications [32]. We therefore extract the per-flow upstream packet payload size sequences for traffic destined to the various time-critical activity domains UDP ports (e.g., 5055, 5056, and 5058 used for Multiverse), and train our machines using a similar method as described in §4.1.1.…”

Section: Metaverse Primary Domainmentioning

confidence: 99%

“…provide graphics, access to third-party businesses, and crypto services. As can be seen, the number of domains involved in serving a metaverse VR session is significantly higher compared to streaming video (which typically involve a single CDN domain serving video content) or gaming (which generally consist of less than ten prefixes within a single domain in a typical match-play game [32]) sessions. The contrast highlights the challenges that operators will encounter when it comes to optimizing and troubleshooting their networks for metaverse.…”

Section: Metaverse Vr Network Traffic Characteristicsmentioning

confidence: 99%

“…(b) what are the duration, volumes, and rates of the various data transfers; and (c) which segments of the session are most relevant to user experience? As we will soon show, unlike a streaming video or gaming session that involves fairly predictable content exchange with just one or a few servers [23,32], a metaverse session can be tremendously more complex, involving tens of autonomous systems, hundreds of domains, and thousands of traffic flows. Without fully understanding the application network dynamics, telecommunications providers will be unable to monitor the performance of the various component blocks, such as user-generated computational elements [28], edge compute [38], and distributed token systems [48].…”

Section: Introductionmentioning

confidence: 99%

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MetaVRadar: Measuring Metaverse Virtual Reality Network Activity

Lyu,

Tripathi,

Sivaraman

2023

Proc. ACM Meas. Anal. Comput. Syst.

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The "metaverse", wherein users can enter virtual worlds to work, study, play, shop, socialize, and entertain, is fast becoming a reality, attracting billions of dollars in investment from companies such as Meta, Microsoft, and Clipo Labs. Further, virtual reality (VR) headsets from entities like Oculus, HTC, and Microsoft are rapidly maturing to provide fully immersive experiences to metaverse users. However, little is known about the network dynamics of metaverse VR applications in terms of service domains, flow counts, traffic rates and volumes, content location and latency, etc., which are needed to make telecommunications network infrastructure "metaverse ready" to support superlative user experience in the coming future. This paper is an empirical measurement study of metaverse VR network behavior aimed at helping telecommunications network operators better provision and manage the network to ensure good user experience. Using illustrative hour-long network traces of metaverse sessions on the Oculus VR headset, we first develop a categorization of user activity into distinct states ranging from login home to streetwalking and event attendance to asset trading, and undertake a detailed analysis of network traffic per state, identifying unique service domains, protocols, flow profiles, and volumetric patterns, thereby highlighting the vastly more complex nature of a metaverse session compared to streaming video or gaming. Armed with the network behavioral profiles, our second contribution develops a real-time methodMetaVRadar to detect metaverse session and classify the user activity state leveraging formalized flow signatures and volumetric attributes. Our third contribution practically implementsMetaVRadar, evaluates its accuracy in our lab environment, and demonstrates its usability in a large university network so operators can better monitor and plan resources to support requisite metaverse user experience.

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