The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data processing in Map Reduce and smart grids. These applications present common experiences, bridging the theoretical advances of sublinear algorithms and the application domain. Sublinear Algorithms for Big Data Applications is suitable for researchers, engineers and graduate students in the computer science, communications and signal processing communities.

该简介侧重于应用子线性算法来管理关键的大数据挑战。该文对子线性算法进行了基本介绍，解释了为什么亚线性算法对大规模数据系统至关重要。它还演示了如何将子线性算法应用于三个熟悉的大数据应用：无线传感器网络、Map Reduce中的大数据处理和智能电网。这些应用呈现出共同的经验，将亚线性算法的理论进展与应用领域联系起来。大数据应用的亚线性算法》适合计算机科学、通信和信号处理界的研究人员、工程师和研究生阅读。