ABSTRACT
This chapter discusses the challenges lying in the building and enabling a high performance cloud system for data-intensive Remote Sensing (RS) data processing. It demonstrates the design and implementation of the pipsCloud from the system level point view. The chapter also discusses the experimental validation and analysis of the pipsCloud. It examines how to bring the cloud computing methodologies into the RS domain. The chapter focuses the overall high performance Cloud computing concepts, technologies and software systems to solve the problems of TS big data. Scientists could easily customize their High-performance computing environment and access huge computing infrastructures in the Cloud. Basically, in Clouds, on-demand resource allocation and flexible management are built on the basis of virtualization. Great efforts have been made in the employing of cloud computing in the context of RS data processing, both in terms of programming models and resource provisioning.
