The phrase "system overhead" is correct and usable in written English.
It is commonly used in technical or computer-related writing to refer to the resources or processes that are necessary but not directly related to a specific task or function. For example: "The system overhead for running this software is relatively low, making it efficient for large-scale use." "The IT team is working on reducing the system overhead in order to improve overall performance." "In order to decrease system overhead, the company implemented a new software system."
accuracy and system overhead.
Measurements of system overhead, failover performance, and preliminary validation using fault injection are presented.
In this paper, we propose two efficient schemes with low system overhead to tackle these two problems.
Compared with existing approaches, our CA architecture provides faster CA services to user nodes at reduced system overhead.
Though not organic, the milk comes from cows that are pasture-fed in good weather; at other times they receive top-quality Canadian hay and individually tailored mixtures of grains and nutrient supplements delivered by a computerized system overhead.
To minimize the system overhead, a centralized dispatching with decentralized admission (CDDA) approach is used to distribute the control related computation to each server pool.
Since prefetching consumes system resources, such as bandwidth and power, it is important to consider the system overhead when designing prefetching schemes.
Overall, the system overhead for secure monitoring is limited to a fraction of the overall system space, memory, and power budget.
Using a suitable combination of hardware and software, the interface design yields intricate control and optimal management with little system overhead and minimum hardware requirements, as well as provides the flexibility to support different management algorithms.
The chapter develops an analytical model of the two approaches, and use it in concert with the Gnutella traces to investigate the tradeoff between query recall and system overhead of the hybrid system.
Considering the system dynamics, the cost of the algorithm design, and the system overhead, we argue that it is not worth putting too much energy on the design of complex rating aggregation schemes for trust inference in open computing environments.
