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Allocation planning aims to minimize the service time for each ship according to the berth and quay crane scheduling.
To minimize the service initiation time, Ha, et al. [15] applied four optimization techniques (Deduplication, Bridging the Semantic Gap, Pipelining, and Early Start) to minimize the delay significantly.
For this scenario, we first formulate a novel constrained optimization problem with an objective to minimize the service cost while a pre-defined network throughput is guaranteed.
Additionally, to minimize the service disruption time during the handover process, this enhanced handover algorithm also proposes the use of Fast DL_MAP_IE messages to forward downlink data after synchronization with the target BS.
To minimize the service degradation of activated connection through cAP, the length of the CP should be as short as possible, but it affects the reliability of throughput estimation.
To minimize the service downtime due to large amount storage, and for maintaining disk storage consistency and integrity, authors proposed a Three-Phase Migration (TPM) (pre-copy, freeze-and-copy, and post-copy) algorithm.
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Hence, a major issue is how to jointly utilize the resources of the different RANs in an efficient manner while simultaneously achieving the desired QoS and minimizing the service cost from both user and service provider perspectives.
Our objective is to dynamically adjust the allocation schemes of objects based on the decision of ADRW algorithm, i.e., whether the system is read-intensive or write-intensive, so as to minimize the total servicing cost of the arriving requests.
The dynamic nature of mobile ad hoc networks poses fundamental challenges to the design of service composition schemes that can satisfy the end-to-end quality of service requirements and minimize the effect of service disruptions caused by dynamic link and node failures.
Therefore, many seamless-mobility approaches have been developed to avoid service disruption and minimize the awareness of service degradation while the mobile device is moving fast.
Using this architecture any service hosted on the cloud will dynamically self-manage depending on service provider inputs to minimize the cost of service.
More suggestions(15)
minimising the service
reducing the service
minimize the probability
minimize the conversation
minimize the weeping
minimize the fact
minimize the gluttony
minimize the pain
minimize the risk
minimize the damage
minimize the trauma
minimize the impact
minimize the difficulty
minimize the surprise
minimize the number
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