Engineering Commons^™

Vertical Implementation Of Cloud For Education (V.I.C.E.), Travis S. Brummett

Masters Theses & Specialist Projects

There are several different implementations of open source cloud software that organizations can utilize when deploying their own private cloud. Some possible solutions are OpenNebula, Nimbus, and Eucalyptus. These are Infrastructure-as-a-Service (IaaS) cloud implementations that ultimately gives users virtual machines to undefined job types. A typical IaaS cloud is composed of a front-end cloud controller node, a cluster controller node for controlling compute nodes, a virtual machine image repository node, and many persistent storage nodes and compute nodes. These architectures are built for ease of scalability and availability.

Interestingly, the potential of such architectures could have in the educational field …

Joint Resource Provisioning In Optical Cloud Networks, Pan Yi

Department of Computer Science and Engineering: Dissertations, Theses, and Student Research

Resource allocation is an evolving part of many Cloud computing and data center management problems. For infrastructure as a service (IaaS) in the Cloud, the Cloud service provider allocates virtual machines (VMs) to the customers with required CPU, memory and disk configurations. In addition to the computing infrastructures, the bandwidth resources would also be allocated to customers for data transmission between reserved VMs. In the near future, users may also want to reserve multiple virtual data centers (VDCs) to construct their own virtual Cloud, which could be called data center as a service (DCaaS). For these two types of services, …

Predictive Inference For Big, Spatial, Non-Gaussian Data: Modis Cloud Data And Its Change-Of-Support, Aritra Sengupta, Noel A. Cressie, Brian H. Kahn, Richard Frey

Faculty of Engineering and Information Sciences - Papers: Part A

Remote sensing of the earth with satellites yields datasets that can be massive in size, nonstationary in space, and non-Gaussian in distribution. To overcome computational challenges, we use the reduced-rank spatial random effects (SRE) model in a statistical analysis of cloud-mask data from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on board NASA's Terra satellite. Parameterisations of cloud processes are the biggest source of uncertainty and sensitivity in different climate models' future projections of Earth's climate. An accurate quantification of the spatial distribution of clouds, as well as a rigorously estimated pixel-scale clear-sky-probability process, is needed to establish reliable estimates …

Public Cloud Data Auditing With Practical Key Update And Zero Knowledge Privacy, Yong Yu, Yannan Li, Man Ho Au, Willy Susilo, Kim-Kwang Raymond Choo, Xinpeng Zhang

Faculty of Engineering and Information Sciences - Papers: Part A

Data integrity is extremely important for cloud based storage services, where cloud users no longer have physical possession of their outsourced files. A number of data auditing mechanisms have been proposed to solve this problem. However, how to update a cloud user's private auditing key (as well as the authenticators those keys are associated with) without the user's re-possession of the data remains an open problem. In this paper, we propose a key-updating and authenticator-evolving mechanism with zero-knowledge privacy of the stored files for secure cloud data auditing, which incorporates zero knowledge proof systems, proxy re-signatures and homomorphic linear authenticators. …

Cloud Computing Services Adoption In Australian Smes: A Firm-Level Investigation, Salim Al Isma'ili, Mengxiang Li, Qiang He, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part A

Cloud computing services can boost the competitiveness of Small and Medium-sized Enterprises (SMEs) and leverage countries' economies. In the Australian context, there is an emerging trend that SMEs begin to embrace cloud technology in their traditional business activities. However, prior studies did not pay much attention to investigating the factors that influence the cloud computing adoption among Australian SMEs. To fill the research gap, this paper investigates the influential factors that affect the decision on adopting cloud computing services for Australian SMEs. Protocol data collected from fifteen firm-level semi-structured interviews with practitioners are presented and discussed. The protocol analysis indicates …

Cloud Computing Adoption Determinants: An Analysis Of Australian Smes, Salim Al Isma'ili, Mengxiang Li, Jun Shen, Qiang He

Faculty of Engineering and Information Sciences - Papers: Part A

In Australia, there is an emerging tendency among SMEs towards the adoption of cloud computing. However, there are limited studies investigating the factors that influence cloud computing adoption within Australian SMEs. To fill the research vacuum, we developed a research model based on the diffusion of innovation theory (DOI), the technology-organisation-environment (TOE) framework, and our prior exploratory study to investigate the determinants that influence the adoption of cloud computing. An organizational-level survey was conducted across Australia to collect data from technology decision makers in SMEs. Data collected from 203 firms are used to test the related hypotheses. This study contributes …

Two-Factor Data Security Protection Mechanism For Cloud Storage System, Joseph K. Liu, Kaitai Liang, Willy Susilo, Jianghua Liu, Yang Xiang

Faculty of Engineering and Information Sciences - Papers: Part A

In this paper, we propose a two-factor data security protection mechanism with factor revocability for cloud storage system. Our system allows a sender to send an encrypted message to a receiver through a cloud storage server. The sender only needs to know the identity of the receiver but no other information (such as its public key or its certificate). The receiver needs to possess two things in order to decrypt the ciphertext. The first thing is his/her secret key stored in the computer. The second thing is a unique personal security device which connects to the computer. It is impossible …

Cloud Computing Adoption Decision Modelling For Smes: From The Paprika Perspective, Salim Al Isma'ili, Mengxiang Li, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part A

The popularity of cloud computing has been growing among enter-prises since its inception. It is an emerging technology which promises competi-tive advantages, significant cost savings, enhanced business processes and ser-vices, and various other benefits. The aim of this paper is to propose a decision modelling using Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) for the factors that have impact in SMEs cloud computing adoption process.

Cloud Computing Adoption Decision Modelling For Smes: A Conjoint Analysis, Salim Al Isma'ili, Mengxiang Li, Jun Shen, Qiang He

Faculty of Engineering and Information Sciences - Papers: Part A

Cloud computing is an emerging technology that promises competitive advantages, cost savings, enhanced business processes and services, and various other benefits to enterprises. Despite the rapid technological advancement, the adoption of cloud computing is still growing slowly among small and mediumsized enterprises (SMEs). This paper presents a model to support the decisionmaking process, using a multi-criteria decision method PAPRIKA for the socio-technical aspects influencing SMEs cloud adoption decision. Due to the multifaceted nature of the cloud computing adoption process, the evaluation of various cloud services and deployment models have become a major challenge. This paper presents a systematic approach to …