Abstract
In the last few years, the cloud computing model has moved from hype to reality, as witnessed by the increasing number of commercial providers offering their cloud computing solutions. At the same time, various open-source projects are developing cloud computing frameworks open to experimental instrumentation and study. In this work we analyze Eucalyptus Community Cloud, an open-source cloud-computing framework delivering the IaaS model and running under the Linux operating system. Our aim is to present some of the results of our analysis and to propose some enhancements that can make Eucalyptus Community Cloud even more attractive for building both private and community cloud infrastructures, but also with an eye toward public clouds. In addition, we present a to-do list that may hopefully help users in the task of configuring and running their own Linux (and Windows) guests with Eucalyptus.
Highlights
According to NIST [1], “cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction”
Eucalyptus Overview In Eucalyptus Community, the Infrastructure as a Service (IaaS) delivery model is accomplished by providing virtual machines [6] to users: the framework provides a number of high level management services and integrates them with the lower level virtualization services found in many recent distributions of the Linux operating system
PMs running the node controller service are grouped into one or more independent clusters, where each cluster is managed by a cluster controller and optionally coupled to a storage controller; all cluster controllers are coordinated by one cloud controller, while one Walrus service provides storage for all virtual machine images and optional user data
Summary
According to NIST [1], “cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction”. Such a definition is quite general, and is not bound to any specific enabling technology or hardware and software implementation.
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