An Optimal On Line Scheduling Algorithm for Overloaded Real Time Systems
An Optimal On Line Scheduling Algorithm for Overloaded Real Time Systems
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In our eReader you can find the full English version of the book. Read An Optimal On Line Scheduling Algorithm for Overloaded Real Time Systems Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book An Optimal On Line Scheduling Algorithm for Overloaded Real Time Systems
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This means that the index of the last deadline after which the tasks has zero value is [log2{imp{Ti))\ - 1 = [/off2(^)J - 1- For notational convenience any task T, will have associated descending tasks denoted by rpO rpl rp2 rp\log2(imp(Ti))\-l where the release times and the computation times of all these tasks are equal to the release time and the computation time of T, . Tf has a firm deadline at 'i) '" section 5 42 • Every other task, T, where j L — e ■ V, , by assumption 3. 2 c, ,mar X -... e • (1 + y/k) • achievedvalue(/), by lemma 5. 4 ^ (l+>/fc) achieved value (/) — k The "loss" from scheduling T. During BUSY is at least k ■ (i+>/fc)achievedvalue(/) ^j^^ value obtained by scheduling T, is at most (1 + \/k) ■ achievedvalue(/) (lemma 5. 4). Hence the net gain is less than or equal to zero.
What to read after An Optimal On Line Scheduling Algorithm for Overloaded Real Time Systems?
You can find similar books in the "Read Also" column, or choose other free books by Gilad Koren to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
This means that the index of the last deadline after which the tasks has zero value is [log2{imp{Ti))\ - 1 = [/off2(^)J - 1- For notational convenience any task T, will have associated descending tasks denoted by rpO rpl rp2 rp\log2(imp(Ti))\-l where the release times and the computation times of all these tasks are equal to the release time and the computation time of T, . Tf has a firm deadline at 'i) '" section 5 42 • Every other task, T, where j L — e ■ V, , by assumption 3. 2 c, ,mar X -... e • (1 + y/k) • achievedvalue(/), by lemma 5. 4 ^ (l+>/fc) achieved value (/) — k The "loss" from scheduling T. During BUSY is at least k ■ (i+>/fc)achievedvalue(/) ^j^^ value obtained by scheduling T, is at most (1 + \/k) ■ achievedvalue(/) (lemma 5. 4). Hence the net gain is less than or equal to zero.
What to read after An Optimal On Line Scheduling Algorithm for Overloaded Real Time Systems?
You can find similar books in the "Read Also" column, or choose other free books by Gilad Koren to read onlineMoreLess
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