Title :
Leveraging Fog to Extend Cloud Gaming for Thin-Client MMOG with High Quality of Experience
Author :
Yuhua Lin ; Haiying Shen
Author_Institution :
Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA
fDate :
June 29 2015-July 2 2015
Abstract :
With the increasing popularity of Massively Multiplayer Online Game (MMOG) and fast growth of mobile gaming, cloud gaming exhibits great promises over the conventional MMOG gaming model as it frees players from the requirement of hardware and game installation on their local computers. However, as the graphics rendering is offloaded to the cloud, the data transmission between the end-users and the cloud significantly increases the response latency and limits the user coverage, thus preventing cloud gaming to achieve high user Quality of Experience (QoE). To solve this problem, previous research suggested deploying more data centers, but it comes at a prohibitive cost. We propose a lightweight system called Cloud Fog, which incorporates "fog" consisting of super nodes that are responsible for rendering game videos and streaming them to their nearby players. Fog enables the cloud to be only responsible for the intensive game state computation and sending update information to super nodes, which significantly reduce the traffic hence the latency and bandwidth consumption. Experimental results from PeerSim and Planet Lab show the effectiveness and efficiency of Cloud Fog in increasing user coverage, reducing response latency and bandwidth consumption.
Keywords :
cloud computing; computer games; peer-to-peer computing; quality of experience; rendering (computer graphics); PeerSim; Planet Lab; QoE; bandwidth consumption; cloud fog; cloud gaming; data transmission; game installation; game video rendering; graphics rendering; intensive game state computation; massively multiplayer online game; mobile gaming; quality of experience; thin-client MMOG; Bandwidth; Cloud computing; Computational modeling; Delays; Games; Servers; Streaming media; Cloud gaming; Online gaming; P2P network; Quality of experience;
Conference_Titel :
Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on
Conference_Location :
Columbus, OH
DOI :
10.1109/ICDCS.2015.83