In this chapter we will focus on distributed approaches to answer the scalability challenges in ubiquitous computing (UC) with so-called bio-analog algorithms. Based on decentralization via use of autonomous components, these algorithms draw their examples from the realm of biology. Following a motivating introduction to bionics and socionics, we will give an overview of bio-analog algorithms structured as follows. First we will have a look at algorithms based on phenomena found on the organism level of biological systems. Next we will examine algorithms imitating procedures on the cell level, then turn to algorithms inspired by principles found on the molecular level. Finally we will extrapolate bio-analog approaches to data management.