Provided by: Institute of Electrical & Electronic Engineers
Date Added: Jul 2011
Understanding and modeling resources of Internet end hosts is essential for the design of desktop software and Internet-distributed applications. In this paper, the authors develop a correlated resource model of Internet end hosts based on real trace data taken from several volunteer computing projects, including SETI at home. This data covers a 5-year period with statistics for 6.7 million hosts. Their resource model is based on statistical analysis of host computational power, memory, and storage as well as how these resources change over time and the correlations among them. They find that resources with few discrete values (core count, memory) are well-modeled by approximations governing the change of relative resource quantities over time.