| V. Grassi. Prefetching Policies for Energy Saving and Latency Reduction in a Wireless Broadcast Data Delivery System. ACM MSWIM, 2000. |
....consumes a large amount of power even when it is in the idle mode [18] Since most mobile clients are powered by battery, it is important to prefetch the right data when designing prefetching schemes. Unfortunately, most of the prefetch techniques used in the current cache management schemes [7] [12] do not consider power constraints of the mobile clients and other factors such as the data size, the data access rate, and the data update rate. To address these issues, we first propose a value based (VP) scheme, which makes prefetch decisions based on the value of each data item considering ....
....for homogeneous settings where different data requests have the same size . However, the data requirements of users and applications are inherently diverse, and then to encapsulate all responses into a singlesize broadcast would be unreasonably wasteful. Therefore, unlike some previous work [6] [12], we do not assume that the data items have the same size. When data requests are heterogeneous, response time alone is not a fair measure given that the individual requests significantly differ from one another in their service time, which is defined as the time to complete the request if it was ....
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Vincenzo Grassi, "Prefetching Policies for Energy Saving and Latency Reduction in a Wireless Broadcast Data Delivery System," ACM MSWIM, 2000.
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V. Grassi. Prefetching Policies for Energy Saving and Latency Reduction in a Wireless Broadcast Data Delivery System. ACM MSWIM, 2000.
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V. Grassi, "Prefetching policies for energy saving and latency reduction in a wireless broadcast data delivery system," in Proc. 3rd ACM Int. Workshop Modeling, Analysis, and Simulation of Wireless and Mobile Systems, 2000, pp. 77--84.
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V. Grassi. Prefetching Policies for Energy Saving and Latency Reduction in a Wireless Broadcast Data Delivery System. In ACM MSWIM 2000.
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V. Grassi, Prefetching Policies for Energy Saving and Latency Reduction in a Wireless Broadcast Data Delivery System, ACM MSWIM, 2000.
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V. Grassi, Prefetching Policies for Energy Saving and Latency Reduction in a Wireless Broadcast Data Delivery System, ACM MSWIM, 2000.
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V. Grassi. Prefetching Policies for Energy Saving and Latency Reduction in a Wireless Broadcast Data Delivery System. In ACM MSWIM 2000.
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Grassi, V. Prefetching Policies for Energy Saving and Latency Reduction in a Wireless Broadcast Delivery System. In Proc. 3rd ACM International Workshop on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), pp. 77-84, 2000.
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