By John G. Webster (Editor)
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A single section of a small height, for example, may end up being read and written several times as its section is combined into larger and larger sections. This is eliminated in the following manner. The algorithm is first performed virtually—that is, in main memory, as a compaction algorithm on the free lists. Once completed, the entire sequence of operations that have been performed determine the ultimate destination of each of the modified sections. The scheduler constructs a list of these sections.
Deallocation of an object. The example sequence shows the removal of object o3 from the initial disk resident object set ͕o1, o2, o3͖. Base two, Ͷ ϭ 2. (a) Two sections are on the free list already (7 and 14), and object o3 is deallocated. (b) Sections 7 and 13 should be combined; however, they are not contiguous. (c) The buddy of section 7 is 6. Data must move from 6 to 13. (d) Sections 6 and 7 are contiguous and can be combined. (e) The buddy of section 6 is 4. Data must move from (4, 5) to (14, 15).
Definition 6: Resolving the internal contention for a composite task is to modify the start time of its consisting atomic tasks, such that Def. 5 does not hold true for . Such a modification requires use of memory buffers. Ideally, we should minimize the amount of required buffer. Definition 7: The problem of RIC is to resolve the internal contention for a composite task (as defined in Def. 6) while minimizing the amount of required memory. OPTIMIZATION TECHNIQUES In this section, we discuss some techniques to improve the utilization of a continuous media server.