Abstract
This paper focuses on MMO(Massively Multiplayer On-line), a large-scale virtual environment, and we propose GBLT(Group Based Load-distribution technique)-a load distribution method with P2P(Peer-to-Peer)-that can maintain calability under the high density of user in virtual environment. For a high scalability on a rapid population change, a lot of systems using P2P is researched[1], [2]. However, the problem of some MMO is that user's group behavior generates high density situation frequently. Many users may form group, and the existing methods manage a virtual environment by dividing geographically between peers. In MMO, a user high density may be generated because the users who participate to a same group are mutually adjacent on a virtual environment. Then, Many messages concentrate on a part of peer if the user high density situation is generated. The existing methods cannot maintain the performance in the high density situation because such a situation is not considered. Then, we propose a load distribution method GBLT con- sidering an incrementation of messages by such a user high density on virtual environment. Then, new manager who manages group is added to the system when the group is formed in GBLT. As a result, an existing manager's load is decreased. Therefore, GBLT can be adjusted to the high density. We confirm that GBLT can maintain high scalability under the local high density situation. Simulation shows that the average number of user managed by server is suppressed to low.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International Conference on Advanced Information Networking and Applications, AINA |
| Pages | 792-799 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 2009 International Conference on Advanced Information Networking and Applications, AINA 2009 - Bradford, United Kingdom Duration: 2009 May 26 → 2009 May 29 |
Other
| Other | 2009 International Conference on Advanced Information Networking and Applications, AINA 2009 |
|---|---|
| Country | United Kingdom |
| City | Bradford |
| Period | 09/5/26 → 09/5/29 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
GBLT : Load distribution method for high density by user behavior in MMO virtual environment. / Endo, Rei; Takagi, Kenji; Shigeno, Hiroshi.
Proceedings - International Conference on Advanced Information Networking and Applications, AINA. 2009. p. 792-799 5076280.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - GBLT
T2 - Load distribution method for high density by user behavior in MMO virtual environment
AU - Endo, Rei
AU - Takagi, Kenji
AU - Shigeno, Hiroshi
PY - 2009
Y1 - 2009
N2 - This paper focuses on MMO(Massively Multiplayer On-line), a large-scale virtual environment, and we propose GBLT(Group Based Load-distribution technique)-a load distribution method with P2P(Peer-to-Peer)-that can maintain calability under the high density of user in virtual environment. For a high scalability on a rapid population change, a lot of systems using P2P is researched[1], [2]. However, the problem of some MMO is that user's group behavior generates high density situation frequently. Many users may form group, and the existing methods manage a virtual environment by dividing geographically between peers. In MMO, a user high density may be generated because the users who participate to a same group are mutually adjacent on a virtual environment. Then, Many messages concentrate on a part of peer if the user high density situation is generated. The existing methods cannot maintain the performance in the high density situation because such a situation is not considered. Then, we propose a load distribution method GBLT con- sidering an incrementation of messages by such a user high density on virtual environment. Then, new manager who manages group is added to the system when the group is formed in GBLT. As a result, an existing manager's load is decreased. Therefore, GBLT can be adjusted to the high density. We confirm that GBLT can maintain high scalability under the local high density situation. Simulation shows that the average number of user managed by server is suppressed to low.
AB - This paper focuses on MMO(Massively Multiplayer On-line), a large-scale virtual environment, and we propose GBLT(Group Based Load-distribution technique)-a load distribution method with P2P(Peer-to-Peer)-that can maintain calability under the high density of user in virtual environment. For a high scalability on a rapid population change, a lot of systems using P2P is researched[1], [2]. However, the problem of some MMO is that user's group behavior generates high density situation frequently. Many users may form group, and the existing methods manage a virtual environment by dividing geographically between peers. In MMO, a user high density may be generated because the users who participate to a same group are mutually adjacent on a virtual environment. Then, Many messages concentrate on a part of peer if the user high density situation is generated. The existing methods cannot maintain the performance in the high density situation because such a situation is not considered. Then, we propose a load distribution method GBLT con- sidering an incrementation of messages by such a user high density on virtual environment. Then, new manager who manages group is added to the system when the group is formed in GBLT. As a result, an existing manager's load is decreased. Therefore, GBLT can be adjusted to the high density. We confirm that GBLT can maintain high scalability under the local high density situation. Simulation shows that the average number of user managed by server is suppressed to low.
UR - http://www.scopus.com/inward/record.url?scp=70349785396&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349785396&partnerID=8YFLogxK
U2 - 10.1109/AINA.2009.73
DO - 10.1109/AINA.2009.73
M3 - Conference contribution
AN - SCOPUS:70349785396
SN - 9780769536385
SP - 792
EP - 799
BT - Proceedings - International Conference on Advanced Information Networking and Applications, AINA
ER -