The Experts below are selected from a list of 21717 Experts worldwide ranked by ideXlab platform
Youlong Luo - One of the best experts on this subject based on the ideXlab platform.
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mobility and marginal gain based Content caching and placement for cooperative edge cloud computing
Information Sciences, 2021Co-Authors: Mingyang Song, Youlong LuoAbstract:Abstract The growing demand of users for video Streaming services has brought huge challenges to the Streaming media service system. The cooperative edge-cloud computing architecture that combines cloud computing and edge computing can effectively reduce the burden on Streaming media service systems. The Streaming Content caching under the cooperative edge-cloud computing architecture is important to improve the quality of user service. Based on this, this paper proposed a cache strategy based on user mobility and Content popularity. In this cache strategy, the Markov model is used to describe the user mobility, the multiple linear regression model is used for Content popularity prediction, and the Content caching operation is performed according to the user mobility and the Content popularity. To reduce the load of edge servers and further improve the quality of user service, this paper proposed a Content placement strategy based on marginal gain. In this Content placement strategy, a Content placement problem is established by considering the Content access latency and the Content placement cost. Then a Content placement algorithm based on marginal gain is proposed to solve the Content placement problem. The Content placement operation is performed by analyzing the marginal gain brought by placing the Contents on edge servers to achieve the optimal performance of Content placement. The experimental results show that the proposed strategies can effectively improve the performance in terms of the cache hit ratio, the Content access latency, the storage cost and the remote data access cost.
Xiaodong Zhang - One of the best experts on this subject based on the ideXlab platform.
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sproxy a caching infrastructure to support internet Streaming
IEEE Transactions on Multimedia, 2007Co-Authors: Songqing Chen, Bo Shen, S Wee, Xiaodong ZhangAbstract:Many algorithmic efforts have been made to address technical issues in designing a Streaming media caching proxy. Typical of those are segment-based caching approaches that efficiently cache large media objects in segments which reduces the startup latency while ensuring continuous Streaming. However, few systems have been practically implemented and deployed. The implementation and deployment efforts are hindered by several factors: 1) Streaming of media Content in complicated data formats is difficult; 2) typical Streaming protocols such as RTP often run on UDP; in practice, UDP traffic is likely to be blocked by firewalls at the client side due to security considerations; and 3) coordination between caching discrete object segments and Streaming continuous media data is challenging. To address these problems, we have designed and implemented a segment-based Streaming media proxy, called SProxy. This proxy system has the following merits. First, SProxy leverages existing Internet infrastructure to address the flash crowd. The Content server is now free of the Streaming duty while hosting Streaming Content through a regular Web server. Thus, UDP based Streaming traffic from SProxy suffers less dropping and no blocking. Second, SProxy streams and caches media objects in small segments determined by the object popularity, causing very low startup latency, and significantly reducing network traffic. Finally, prefetching techniques are used to pro-actively preload uncached segments that are likely to be used soon, thus providing continuous Streaming. SProxy has been extensively tested and we show that it provides high quality Streaming delivery in both local area networks and wide area networks (e.g., between Japan and the U.S.).
Mingyang Song - One of the best experts on this subject based on the ideXlab platform.
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mobility and marginal gain based Content caching and placement for cooperative edge cloud computing
Information Sciences, 2021Co-Authors: Mingyang Song, Youlong LuoAbstract:Abstract The growing demand of users for video Streaming services has brought huge challenges to the Streaming media service system. The cooperative edge-cloud computing architecture that combines cloud computing and edge computing can effectively reduce the burden on Streaming media service systems. The Streaming Content caching under the cooperative edge-cloud computing architecture is important to improve the quality of user service. Based on this, this paper proposed a cache strategy based on user mobility and Content popularity. In this cache strategy, the Markov model is used to describe the user mobility, the multiple linear regression model is used for Content popularity prediction, and the Content caching operation is performed according to the user mobility and the Content popularity. To reduce the load of edge servers and further improve the quality of user service, this paper proposed a Content placement strategy based on marginal gain. In this Content placement strategy, a Content placement problem is established by considering the Content access latency and the Content placement cost. Then a Content placement algorithm based on marginal gain is proposed to solve the Content placement problem. The Content placement operation is performed by analyzing the marginal gain brought by placing the Contents on edge servers to achieve the optimal performance of Content placement. The experimental results show that the proposed strategies can effectively improve the performance in terms of the cache hit ratio, the Content access latency, the storage cost and the remote data access cost.
Songqing Chen - One of the best experts on this subject based on the ideXlab platform.
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sproxy a caching infrastructure to support internet Streaming
IEEE Transactions on Multimedia, 2007Co-Authors: Songqing Chen, Bo Shen, S Wee, Xiaodong ZhangAbstract:Many algorithmic efforts have been made to address technical issues in designing a Streaming media caching proxy. Typical of those are segment-based caching approaches that efficiently cache large media objects in segments which reduces the startup latency while ensuring continuous Streaming. However, few systems have been practically implemented and deployed. The implementation and deployment efforts are hindered by several factors: 1) Streaming of media Content in complicated data formats is difficult; 2) typical Streaming protocols such as RTP often run on UDP; in practice, UDP traffic is likely to be blocked by firewalls at the client side due to security considerations; and 3) coordination between caching discrete object segments and Streaming continuous media data is challenging. To address these problems, we have designed and implemented a segment-based Streaming media proxy, called SProxy. This proxy system has the following merits. First, SProxy leverages existing Internet infrastructure to address the flash crowd. The Content server is now free of the Streaming duty while hosting Streaming Content through a regular Web server. Thus, UDP based Streaming traffic from SProxy suffers less dropping and no blocking. Second, SProxy streams and caches media objects in small segments determined by the object popularity, causing very low startup latency, and significantly reducing network traffic. Finally, prefetching techniques are used to pro-actively preload uncached segments that are likely to be used soon, thus providing continuous Streaming. SProxy has been extensively tested and we show that it provides high quality Streaming delivery in both local area networks and wide area networks (e.g., between Japan and the U.S.).
Allison Carruth - One of the best experts on this subject based on the ideXlab platform.
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the digital cloud and the micropolitics of energy
Public Culture, 2014Co-Authors: Allison CarruthAbstract:Postprint—Please refer to published version at http://publicculture.dukejournals.org/Content/26/2_73/339.full.pdf+html Allison Carruth “The Digital Cloud and the Micropolitics of Energy” Special issue: Environmental Visualization in the Anthropocene: Technologies, Aesthetics, Ethics, Public Culture 26.2 (2014): 339-‐364. What strikes you immediately is the scale of things. The room is so huge you can almost see the curvature of Earth in the end. And it’s wall to wall, . . . racks and racks and racks of servers with blinking blue lights and each one is many, many times more powerful and with more capacity than my laptop. And you’re in the throbbing heart of the Internet. And you really feel it. . . . Here was the ephemeral made real. –– Steven Levy at a Google data center (quoted in Inskeep 2012) The images and stories that translate the technical structure of networks into lay terms lean heavily on ecological metaphors: we have server farms and the hive mind, mountains of data and Streaming Content. Within this array of high-‐tech metaphors, the most ubiquitous of all is the cloud. Reporting on a recent unprecedented visit to a Google server farm (or data center), journalist Steven Levy disturbs the light and airy image of a digital cloud by taking readers into “the throbbing heart of the Internet” (see figs. 1-‐2). There he encounters the walls of concrete warehouses, endless racks of servers, a morass of electrical circuitry, and water-‐hungry cooling systems, all of which, in his terms, make “the ephemeral real.” Yet even so, the pull of metaphor directs one’s attention away from the materiality of information. As Levy imagines the Internet in not ecological but biological terms—with the data center as its “throbbing heart” and the “blinking blue lights” of servers as its nervous system—the real fades back into the ephemeral. [Insert Figure 1] [Insert Figure 2] From technology news to corporate infographics, the vision of the Internet as a green space at once everywhere and nowhere in particular is pervasive. Consider an infographic titled “Accelerating [the] Cloud in Asia Pacific,” which depicts the cloud as a