Live multimedia streaming from mobile devices is rapidly gaining popularity but little is known about the QoE they provide. In this paper, we examine the Periscope service. We first crawl the service in order to understand its usage patterns. Then, we study the protocols used, the typical quality of experience indicators, such as playback smoothness and latency, video quality, and the energy consumption of the Android application.
have analyzed the YouNow service @cite_1 and investigated the role of human factors in Meerkat and Periscope @cite_6 . Little is known, however, about how such mobile applications perform. Most of the research has focused on systems where the mobile device is only the receiver of the live streaming, like Twitch.Tv @cite_10 , or other mobile VoD systems @cite_5 .
@cite_10 @cite_5 @cite_1 @cite_6
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We conducted a mixed methods study of the use of the Meerkat and Periscope apps for live streaming video and audio broadcasts from a mobile device. We crowdsourced a task to describe the content, setting, and other characteristics of 767 live streams. We also interviewed 20 frequent streamers to explore their motivations and experiences. Together, the data provide a snapshot of early live streaming use practices. We found a diverse range of activities broadcast, which interviewees said were used to build their personal brand. They described live streaming as providing an authentic, unedited view into their lives. They liked how the interaction with viewers shaped the content of their stream. We found some evidence for multiple live streams from the same event, which represent an opportunity for multiple perspectives on events of shared public interest. Live video streaming from mobile devices is quickly becoming popular through services such as Periscope, Meerkat, and Facebook Live. Little is known, however, about how such services tackle the challenges of the live mobile streaming scenario. This work addresses such gap by investigating in details the characteristics of the Periscope service. A large number of publicly available streams have been captured and analyzed in depth, in particular studying the characteristics of the encoded streams and the communication evolution over time. Such an investigation allows to get an insight into key performance parameters such as bandwidth, latency, buffer levels and freezes, as well as the limits and strategies adopted by Periscope to deal with this challenging application scenario. The introduction of mobile apps such as Meerkat, Periscope, and Facebook Live has sparked enthusiasm for live-streaming video. This study explores the legal and ethical implications of mobile live-streaming video apps through a review of public-policy considerations and the computing literature as well as analyses of a mix of quantitative and qualitative user data. We identify lines of research inquiry for five policy challenges and two areas of the literature in which the impact of these apps is so far unaddressed. The detailed data gathered from these inquiries will significantly contribute to the design and development of tools, signals or affordances to address the concerns that our study identifies. We hope our work will help shape the fields of ubiquitous computing and collaborative and social computing, jurisprudence, public policy and applied ethics in the future. With smartphones making video recording easier than ever, new apps like Periscope and Meerkat brought personalized interactive video streaming to millions. With a touch, viewers can switch between first person perspectives across the globe, and interact in real-time with broadcasters. Unlike traditional video streaming, these services require low-latency video delivery to support high interactivity between broadcasters and audiences. We perform a detailed analysis into the design and performance of Periscope, the most popular personal livestreaming service with 20 million users. Using detailed measurements of Periscope (3 months, 19M streams, 705M views) and Meerkat (1 month, 164K streams, 3.8M views), we ask the critical question: Can personalized livestreams continue to scale, while allowing their audiences to experience desired levels of interactivity?' We analyze the network path of each stream and break down components of its end-to-end delay. We find that much of each stream's delay is the direct result of decisions to improve scalability, from chunking video sequences to selective polling for reduced server load. Our results show a strong link between volume of broadcasts and stream delivery latency. Finally, we discovered a critical security flaw during our study, and shared it along with a scalable solution with Periscope and Meerkat management.