DocumentCode
1797129
Title
Let´s depart together: Efficient play request dispatching in cloud gaming
Author
Yusen Li ; Xueyan Tang ; Wentong Cai
Author_Institution
Multi-plAtform Game Innovation Centre, Nanyang Technol. Univ., Singapore, Singapore
fYear
2014
fDate
4-5 Dec. 2014
Firstpage
1
Lastpage
6
Abstract
In this paper, we study the problem of how to dispatch the play requests to the cloud servers in a cloud gaming system. We show that the dispatching strategy of play requests may heavily affect the total service cost of the cloud gaming system. The play request dispatching problem can be considered as a variant of the dynamic bin packing problem. However, we show that the classical bin packing algorithms such as First Fit and Best Fit are not efficient in dispatching the play requests in cloud gaming due to the diurnal workload pattern of online games. To address this issue, we propose an efficient request dispatching algorithm that assigns the play requests according to the predicted ending times of the game sessions. Through extensive evaluations using real online gaming traces, we show that the proposed dispatching algorithm can significantly reduce the resource waste of the cloud servers and thus decrease the total service cost compared to the First Fit and Best Fit algorithms.
Keywords
bin packing; cloud computing; computer games; cloud gaming system; cloud servers; diurnal workload pattern; dynamic bin packing problem; online gaming traces; play request dispatching problem; service cost reduction; Cloud computing; Dispatching; Educational institutions; Games; Prediction algorithms; Servers; Virtual machining;
fLanguage
English
Publisher
ieee
Conference_Titel
Network and Systems Support for Games (NetGames), 2014 13th Annual Workshop on
Conference_Location
Nagoya
Type
conf
DOI
10.1109/NetGames.2014.7008968
Filename
7008968
Link To Document