An aspheric lens is used to collimate the light in order to optimize the blocking of excitation light by the narrowband interference filter and enhance fluorescent signal detection.
Thus, in such cases, optimizing the block-size is not very relevant as all possibilities obtain such poor results in terms of BER.
This study proposes two methods for optimizing the block size, by considering the throughput requirements of yard cranes (YCs) and the block storage requirements.
For example, if we have a data set of size 1 TB, then by optimizing the block distribution, we can get an amount of 363.7 GB reduced in data transfer.
If we use the WSCS to make tasks locate all records of the nodes, we learn that optimizing the block distribution according to the block/record relationship, can reduce the amount of transferred data by 196.10 GB for a 576-GB dataset.
In this section, we design RBBD at HDFS management level which optimizes the block distribution according to the record/block relationship.
By default, the HDFS stores the blocks randomly across the data nodes, but RBBD optimized the blocks according to the block/record relationship to keep one replica of all blocks to the same record on a same node.
However, our work is to erase the gap between the block and the actual map input as a record, optimize the block distribution from the view of the record, and is designed to overcome the unsplittable feature of the binary file.
In particular, in order to optimize the block-size subcarrier allocation, we propose a new performance metric, i.e., the sum-correlation function that we define as the sum of correlations of each subcarrier with respect to the others in the same allocation scheme.
While a user-defined layout is impractical for many complete designs because of complexity or time-to-market constraints, optimizing the most critical blocks of a circuit can have significant benefits.
