Eucalyptus: an open-source cloud computing infrastructure

Abstract

Utility computing, elastic computing, and cloud computing are all terms that refer to the concept of dynamically provisioning processing time and storage space from a ubiquitous "cloud" of computational resources. Such systems allow users to acquire and release the resources on demand and provide ready access to data from processing elements, while relegating the physical location and exact parameters of the resources. Over the past few years, such systems have become increasingly popular, but nearly all current cloud computing offerings are either proprietary or depend upon software infrastructure that is invisible to the research community. In this work, we present Eucalyptus, an open-source software implementation of cloud computing that utilizes compute resources that are typically available to researchers, such as clusters and workstation farms. In order to foster community research exploration of cloud computing systems, the design of Eucalyptus emphasizes modularity, allowing researchers to experiment with their own security, scalability, scheduling, and interface implementations. In this paper, we outline the design of Eucalyptus, describe our own implementations of the modular system components, and provide results from experiments that measure performance and scalability of a Eucalyptus installation currently deployed for public use. The main contribution of our work is the presentation of the first research-oriented opensource cloud computing system focused on enabling methodical investigations into the programming, administration, and deployment of systems exploring this novel distributed computing model. 1 The term "cloud computing" is considered by some to be synonymous with the terms "elastic computing," "utility computing," and occasionally "grid computing." For the purposes of this paper, we will use the term "cloud computing" to refer to cloud, elastic, or utility computing but not to grid computing. The difference is explained in Section 4.

Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models

“…The case study is based on the Eucalyptus [13] cloud model, with every CC either having this enterprise system model or it is an urgent system. IBM Websphere is selected as the enterprise system middleware as it is a common choice for distributed enterprise applications; the IBM Performance Benchmark Sample T rade [16] is selected as it is the main enterprise benchmark for the Websphere platform.…”

“…Dynamic-Urgent Cloud Environments: System Model, Case Study, Experimental Setup and Sample Cloud 2.1. System Model Based on [13,14,17] a cloud customer (CC) pays for shared servers (SS) which may be dynamically shared with other CC and which may be virtualised -see Figure 1. Here, a SS is being transferred from CC1 to CC2; SS transfers are controlled by the cloud infrastructure resource management system (RM).…”

Resource management of enterprise cloud systems using layered queuing and historical performance models

“…Based on [13,14] a cloud customer (CC) pays for shared servers (SS) which may be dynamically shared with other CC and which may be virtualised -see fig. 1.…”

“…The case study is a Eucalyptus [13] cloud with every CC either having this enterprise system model or it is an urgent system. IBM Websphere is selected as the enterprise system middleware as it is a common choice for distributed enterprise applications; the IBM Performance Benchmark Sample T rade [16] is selected as it is the main enterprise benchmark for the Websphere platform.…”

An Authenticated, Secure Virtualization Management System in Cloud Computing

“…Cloud computing [1] is one such a famous model that has progressed from the adopting of utility computing, service oriented architectures, and virtualization. In other words, cloud is a storage remote location.…”