| Summary: | 碩士 === 淡江大學 === 電機工程學系碩士班 === 98 === Accompanying the popularization of Internet is varying the daily life of human. The application of Internet is growing strongly day by day such as the search engine – Google, Bing and Yahoo!, the application of data sharing – FTP and P2P, the popular social tool – MSN, Yahoo message, Skype and Face book, varying on‐line game and e‐shopping…etc. In other words, we already cannot live without Internet gradually. In order to satisfy the convenience that people want, the traditional wire network (not includes fiber) is superseded by the wireless network gradually and forwarding the wireless technique positively. Hence, the application and technique of wireless network are respected by people nowadays. Now, a laptop or a mobile phone can connect to Internet easily and it is bringing huge amount of different and interested applications and technique. In the future, it is foreseeable that the video streaming and P2P application will be more and more popular. However, there are still some restrictions to torment users, that is the memory and power of mobile phone is limited. These problems cause the mobile phone cannot bear to transmit and store a considerable quantity of data and make a worse quality of usage. Therefore, it is an important issue to manage power consumption and cache well. In our paper, we address novel cluster architecture. The cluster architecture not only has
power management but also cache management to decide which data item has to replace. We adopt the mechanism of button‐up (agglomerative) to establish the cluster, and ensure
the relationship of each member of this cluster by the capability value that every member owns. In the cache management, we design a cache replacement strategy called
Conditioned‐LRU (C‐LRU). In C‐LRU, it is designed that bases on the property of H.264/SVC, suits different playbacks and varying network environments. The strategy considers the link cost and the images’ quality to replace data item.
In our paper, C‐LRU uses the concept of minimal cost path to find a better candidate to replace. The other issue is the power management. We combine the cluster and IEEE 802.11 PSM to reduce more power consumptions. Each member has different sleeping time that is based on the virtual location of management. In other words, different height of management stands for different sleeping time. Usually, the manager has a better capability than employees. Hence, we suggest the manager can wake up longer to serve others and employees sleep longer to save the power itself. By this mechanism, we can obtain a not bad performance to save more power.
|
|---|
