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Copyright © 2011, A New MMOG Framework On Cloud Computing Environment 張晏誌 1.

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Presentation on theme: "Copyright © 2011, A New MMOG Framework On Cloud Computing Environment 張晏誌 1."— Presentation transcript:

1 Copyright © 2011, MBL@CS.NCTU A New MMOG Framework On Cloud Computing Environment 張晏誌 1

2 Copyright © 2011, MBL@CS.NCTU Motivation To provide MMOG service in cloud computing environment. Leverage the strength of cloud computing. (Satisfies the five characteristics of cloud computing.) Allocate resources by each player(or a tiny group of players). To reduce network and VM migration overhead. 2

3 Copyright © 2011, MBL@CS.NCTU System Architecture Isolate the resources that every player have into a single VM instance. Also apply the same change to region server. Avatar server is placed with its region server, to reduce network traffic. When a player was logged out, the player’s VM was stored as a VM image. 3

4 Copyright © 2011, MBL@CS.NCTU System Architecture 4

5 Copyright © 2011, MBL@CS.NCTU Future Work In [1], they use aura-nimbus model to form a zone that covering AOIs of players. In [2], they use clique finding algorithm for grouping players. 5

6 Copyright © 2011, MBL@CS.NCTU Future Work 6 According to above approach, we can know the relation between players. We can determine the degree of connectivity of them and allocate resources base on those information.

7 Copyright © 2011, MBL@CS.NCTU Reference 7 [1] Dewan Tanvir Ahmed, Shervin Shirmohammadi, “A Dynamic Area of Interest Management and Collaboration Model for P2P MMOGs”, 12th 2008 IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications [2] Sheng Pang, Changjia Chen, Chao Xu, “Structure Analysis of Social Network on Multi- activities in MMOG”, 2009 ISECS International Colloquium on Computing, Communication, Control, and Management

8 Copyright © 2011, MBL@CS.NCTU HW1 for Cloud Computing Course 8 Use Xen and VMware ESXi to build a virtualized environment. Run a big task in this environment, such as Word Counting task, but without Map- Reduce. Note down the execution time of the task, and compare with the result of HW2 which executed with Map-Reduce technique.

9 Copyright © 2011, MBL@CS.NCTU HW1 for Cloud Computing Course 9

10 Copyright © 2011, MBL@CS.NCTU HW1 for Cloud Computing Course 10


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