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A New MMOG Framework On Cloud Computing Environment

A New MMOG Framework On Cloud Computing Environment. 張晏誌. Motivation. To provide MMOG service in cloud computing environment. Leverage the strength of cloud computing . ( Satisfies the five characteristics of cloud computing . )

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A New MMOG Framework On Cloud Computing Environment

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  1. A New MMOG Framework On Cloud Computing Environment 張晏誌

  2. 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.

  3. 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.

  4. System Architecture

  5. 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.

  6. Future Work • 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. Reference • [1] DewanTanvirAhmed, ShervinShirmohammadi, “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. HW1 for Cloud Computing Course • Use Xen and VMware ESXito 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. HW1 for Cloud Computing Course

  10. HW1 for Cloud Computing Course

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