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Some of the most common reasons for writing custom allocators include improving performance of allocations by using memory pools, and encapsulating access to different types of memory, like shared memory or garbage-collected memory.
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Figure 15 shows the performance of allocation schemes for = 70%.
In Figure 16, we present the performance of allocation schemes when adaptive is used.
We evaluate the performance of different allocation policies.
Several external and internal factors that affect the performance of resource allocation models are introduced in the article [9].
The design of supply chain network usually directly influences the performance of location-allocation of facilities, especially for the main parties.
Some computational experiments are carried out to compare the performance of the allocation rules and to identify the suitable ones in certain scenarios.
Figure 7 Comparison of the performance of chunk allocation using BB signalling where the successfully accessed chunks are reserved for a period of time inversely proportional to the amount of bandwidth available to the user.
Figure 6 Comparison of the performance of chunk allocation using BB signalling where the successfully accessed chunks are reserved until the transmit buffer is empty for various traffic loads against the benchmark systems.
We describe an experimental comparison of the out-of-equilibrium performance of three allocation mechanisms designed to achieve Lindahl outcomes as Nash equilibria: the mechanisms due to Walker (1981), Kim (1993), and Chen (2002).
Table 3 The performance of bit allocation of each frame Signal type Bits of each frame in fixed rate G.719 (bits/frame) The minimum bits in variable rate G.719 (bits/frame) The maximum bits in variable rate G.719 (bits/frame) Music 640 495 725 Mixed music 640 540 718 Speech 640 550 714.
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