Generation of workloads to test RAMCloud

This document defines a simple methodology to evaluate the performance and scalability of RAMCloud.

Measurements planned

Client's perspective

Of internal interest

Simulated workload types

1- Banking Website

This workload represents a simple banking website that stores all of its webpages as objects in a RAMCloud. Inspired by the specweb2009 benchmark, the ratio of reads to writes in this system is 95:5.

The objects are distributed in size as indicated in the table below.

It is assumed that the objects are spread out over 10 tables of equal size. These tables are not assumed to be pre-filled. Any reads of objects that do not exist will fail and are counted as valid reads in the measurements. The writes will fill the tables with objects as they happen. Initially the pattern of reads and writes is generated in a random manner.

Assuming a 4GB capacity RAMCloud, we can start with 300 MB tables and generate as many objects as required based on the size distribution constraint.

2- Dynamic Page Generation for a website

This represents a webpage that contains multiple sections. These sections are generated by making calls to services that populate them. Each of these services in turn contacts the RAMCloud to query various objects of interest. We assume that 50 services are involved with 20 distinct tables.