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Object oriented and pattern based metaphors for software present a solid engineering base for software understanding and construction, but sometimes impose a high performance overhead.
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We can clearly see that in general, a query in JPQL comes at a higher performance overhead cost (RQ4).
Furthermore, our study clearly indicates that CPI approaches that protect against strong attacker models induce a higher performance overhead than approaches that protect against weak attackers.
High performance overhead: the architectures on related work adopt the fine-grained time-sharing technique among VMs to share GPU, but these largely depredate the overall performance of GPU by increasing the communication traffic between virtual device drivers and system bus.
PrivHab uses a waypoint-based routing that achieves a high performance and low overhead in rugged terrain areas that are plenty of physical obstacles.
To achieve a high performance and low overhead, PrivHab+ uses information about the usual whereabouts of the nodes to make optimal routing decisions.
RQ4: This is in fact an extension to RQ3, focusing on which development API incurs the highest performance overhead.
However, it is a great challenge to achieve a high performance implementation due to the GPU's performance sensitivity to algorithm and implementation issues such as memory overhead, thread divergence, and large lookup table sizes.
Furthermore, DataNucleus shows a higher increase in performance overhead, as the query is translated to a more complex expression tree first, and secondly due to the additional read from its lazy loading approach.
This is a high-performance game.
Moreover, these solutions have a very low performance overhead.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com