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Server Allocation for Massively Multiplayer Online Cloud Games Using Evolutionary Optimization
- Source :
- ACM Transactions on Multimedia Computing, Communications, and Applications. 17:1-23
- Publication Year :
- 2021
- Publisher :
- Association for Computing Machinery (ACM), 2021.
-
Abstract
- In recent years, Massively Multiplayer Online Games (MMOGs) are becoming popular, partially due to their sophisticated graphics and broad virtual world, and cloud gaming is demanded more than ever especially when entertaining with light and portable devices. This article considers the problem of server allocation for running MMOG on cloud, aiming to reduce the cost on cloud gaming service and meanwhile enhance the quality of service. The problem is formulated into minimizing an objective function involving the cost of server rental, the cost of data transfer and the network latency during the gaming time. A genetic algorithm is developed to solve the minimization problem for processing simultaneous server allocation for the players who log into the system at the same time while many existing players are playing the same game. Extensive experiments based on the player behavior in “World of Warcraft” are conducted to evaluate the proposed method and compare with the state-of-the-art as well. The experimental results show that the method gives a lower cost and a shorter network latency in most of the time.
- Subjects :
- Service (systems architecture)
Computer Networks and Communications
business.industry
Computer science
Quality of service
Cloud gaming
ComputingMilieux_PERSONALCOMPUTING
020206 networking & telecommunications
Cloud computing
02 engineering and technology
Server allocation
Hardware and Architecture
Genetic algorithm
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Graphics
business
Data transmission
Computer network
Subjects
Details
- ISSN :
- 15516865 and 15516857
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- ACM Transactions on Multimedia Computing, Communications, and Applications
- Accession number :
- edsair.doi...........f8de94081a11289a93559a1c385fdb13