期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2009
卷号：32
期号：01
出版社：IEEE Computer Society
摘要：Cloud computing is an increasingly popular paradigm for accessing computing resources. A popular
class of computing clouds is Infrastructure as a Service (IaaS) clouds, exemplified by Amazon’s Elastic
Computing Cloud (EC2). In these clouds, users are given access to virtual machines on which they can
install and run arbitrary software, including database systems. Users can also deploy database appli-
ances on these clouds, which are virtual machines with pre-installed pre-configured database systems.
Deploying database appliances on IaaS clouds and performance tuning and optimization in this environ-
ment introduce some interesting research challenges. In this paper, we present some of these challenges,
and we outline the tools and techniques required to address them. We present an end-to-end solution to
one tuning problem in this environment, namely partitioning the CPU capacity of a physical machine
among multiple database appliances running on this machine. We also outline possible future research
directions in this area.
