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- W237479878 abstract "In modern multimedia systems, multiple applications execute concurrently. While traditionally a mobile phone had to support only a handful of applications like communicating with the base station, sending and receiving short messages, and encoding and decoding voice; modern high-end mobile devices also act as music and video player, camera, gps, mobile TV and a complete personal digital assistant. Due to a huge number of possible combinations of these multiple applications, it becomes a challenge to predict their performance in advance. This becomes even more important when applications may be dynamically started and stopped in the system.In this chapter, a novel probabilistic performance prediction (P 3) algorithm is presented for predicting performance of multiple applications executing concurrently on multi-processor platforms. The algorithm predicts the time that tasks have to spend during the contention phase for a resource. The expected waiting time when multiple tasks share a processing resource is computed. These waiting time estimates, together with the execution times are used to estimate the performance of applications. The approach is very fast and can be used both at design-time and run-time owing to its low implementation complexity." @default.
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- W237479878 date "2011-01-01" @default.
- W237479878 modified "2023-09-28" @default.
- W237479878 title "Probabilistic Performance Prediction" @default.
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- W237479878 doi "https://doi.org/10.1007/978-94-007-0083-3_3" @default.
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