Mobile service provisioning is intended to serve interoperable functionality from mobile devices over the network. The mobile service paradigm shifts the role of mobile devices from consumers to providers, opening up new opportunities for a multitude of collaborative services and applications ranging from sharing personal information to collaborative participatory sensing. Although many basic principles of the standard Web service approach continue to apply, the inherent limitations of mobile devices and broadband wireless access render the deployment of standard architectures in mobile environments inefficient. This research introduces two concepts that revolutionize mobile service provisioning: personal and cloud-assisted service provisioning. Personal services are intended to offer a range of user-centric data services to a limited set of consumers that are explicitly authorized by the user providing the service. Personal services facilitate prevailing trends such as social networking and mobile healthcare services, without compromising personal privacy. Cloud-assisted service provisioning bridges the gap between limited resources of mobile devices and increasing resource demands of mobile applications. This approach provides reliable and efficient mobile services, while alleviating the burden on limited mobile resources. Both approaches take advantage of the device's mobility and real time access to various context information. Experimental results reveal that personal services offer personalization based on the user's context and preferences, while cloud-assisted service provisioning, in addition to optimizing the consumption of mobile scarce resources, offers significant improvement to the reliability and availability of mobile services. / Thesis (Ph.D, Computing) -- Queen's University, 2013-09-03 10:28:42.795

As Cloud services become more commonplace, recent works have uncovered vulnerabilities unique to such systems. Specifi cally, the paradigm promotes a risk of information leakage across virtual machine isolation via side-channels. Unlike conventional computing, the infrastructure supporting a Cloud environment allows mutually dis- trusting clients simultaneous access to the underlying hardware, a seldom met requirement for a side-channel attack. This thesis investigates the current state of side-channel vulnerabilities involving the CPU cache, and identifi es the shortcomings of traditional defenses in a Cloud environment. It explores why solutions to non-Cloud cache-based side-channels cease to work in Cloud environments, and describes new mitigation techniques applicable for Cloud security. Speci cally, it separates canonical cache-based side-channel attacks into two categories, Sequential and Parallel attacks, based on their implementation and devises a unique mitigation technique for each. Applying these solutions to a canonical Cloud environment, this thesis demonstrates the validity of these Cloud-specifi c, cache-based side-channel mitigation techniques. Furthermore, it shows that they can be implemented, together, as a server-side approach to improve security without inconveniencing the client. Finally, it conducts a comparison of our solutions to the current state-of-the-art. / Thesis (Master, Computing) -- Queen's University, 2013-09-25 18:03:47.737

A key aspect of cloud computing is the promise of infinite, scalable resources, and that cloud services should scale up and down on demand. This thesis investigates methods for dynamic resource allocation and management of services in cloud datacenters, introducing new approaches as well as improvements to established technologies.Virtualization is a key technology for cloud computing as it allows several operating system instances to run on the same Physical Machine, PM, and cloud services normally consists of a number of Virtual Machines, VMs, that are hosted on PMs. In this thesis, a novel virtualization approach is presented. Instead of running each PM isolated, resources from multiple PMs in the datacenter are disaggregated and exposed to the VMs as pools of CPU, I/O and memory resources. VMs are provisioned by using the right amount of resources from each pool, thereby enabling both larger VMs than any single PM can host as well as VMs with tailor-made specifications for their application. Another important aspect of virtualization is live migration of VMs, which is the concept moving VMs between PMs without interruption in service. Live migration allows for better PM utilization and is also useful for administrative purposes. In the thesis, two improvements to the standard live migration algorithm are presented, delta compression and page transfer reordering. The improvements can reduce migration downtime, i.e., the time that the VM is unavailable, as well as the total migration time. Postcopy migration, where the VM is resumed on the destination before the memory content is transferred is also studied. Both userspace and in-kernel postcopy algorithms are evaluated in an in-depth study of live migration principles and performance.Efficient mapping of VMs onto PMs is a key problem for cloud providers as PM utilization directly impacts revenue. When services are accepted into a datacenter, a decision is made on which PM should host the service VMs. This thesis presents a general approach for service scheduling that allows for the same scheduling software to be used across multiple cloud architectures. A number of scheduling algorithms to optimize objectives like revenue or utilization are also studied. Finally, an approach for continuous datacenter consolidation is presented. As VM workloads fluctuate and server availability varies any initial mapping is bound to become suboptimal over time. The continuous datacenter consolidation approach adjusts this VM-to-PM mapping during operation based on combinations of management actions, like suspending/resuming PMs, live migrating VMs, and suspending/resuming VMs. Proof-of-concept software and a set of algorithms that allows cloud providers to continuously optimize their server resources are presented in the thesis.

Das Wolkenmodul LECLOUD (Devantier (1995), Raabe u.a. (1996)) wurde durchgesehen und eine Reihe von Korrekturen und Verbesserungen vorgenommen. Die Einbindung des ursprünglich nulldimensionalen Wolkenmoduls in das dreidimensionale GESIMA (GEsthachter SimulationsModell der Atmosphäre, siehe auch Kapitza (1987)) wurde überarbeitet und bezüglich Aerosol und Fallgeschwindigkeit konsistent gestaltet. Dadurch verbesserte sich die numerische Stabilität des Wolkenmoduls. Das wird anhand einer mehrtätigen Simulation gezeigt. Sie Simulationen werden mit einer zweidimensionalen Variante des GESIMA durchgeführt. / The cloud module LECLOUD was critically gone through and a number of corrections and enhancements were made. The implementation of the originally 0-dimensional cloud module in the three-dimensional GESIMA (GEsthacht Slmulaion Modell of Atmosphere, see Kapitza (1987)) was revised and made more consistent due to aerosol and fall-speed. So the numerical stability of the cloud module was improved. This is shown on the basis of a simulation over a period of several days at the basis of a two dimensional variant of GESIMA.

In diesem Beitrag werden Ansätze beschrieben, wie man aus flugzeuggetragenen Messungen von Eigenschaften atmosphärischer Extingenten die für Strahlungstransportrechnungen notwendigen Größen und Parameter rekonstruieren kann. Angewendet wird das Programm zur ersten Auswertung für bezüglich der Strahlung verschiedene atmosphärische Situationen. Die Daten hierzu wurden auf der ersten Messkampagne des Projektes INSPECTRO gesammelt. Es zeigt sich für den Fall einer Atmosphäre mit stratiformer Bewölkung eine gute Übereinstimmung mit den Messungen. Eine genaue Berechnung der Extinktion durchWolken mittels Tropfenspektren bringt derzeit keine Vorteile gegenüber einer einfachen Parametrisierung. Für den Fall eines durchbrochenen Wolkenfeldes ergeben sich lokal große Unterschiede zwischen Simulation und Messung. Dennoch läßt sich zeigen, daß die gemessenen und berechneten Felder des aktinischen Flusses einander sehr ähnliche statistische Eigenschaften haben. / In this article some methods to reconstruct an artificial three-dimensional atmosphere from flight measurement data are described. The artificial atmosphere shall accurately represent the scattering properties of the real atmosphere, that are necessary to perform radiative transfer simulations. The method is applied to conduct a preliminary analysis of several atmospheric situations corresponding to different sets of radiative properties. The analyzed measurement data was collected during the first measurement campaign within the INSPECTRO project. In the case of an atmosphere containing a stratiform cloud layer, the measurements and simulation results are in very good agreement. A more accurate calculation of the extinction of radiation within the clouds by way of accounting for measured droplet spectra does momentarily not lead to an improvement in comparison with the simple parameterization method. In the case of a broken cloud field the significant local discrepancies between the measurement data and simulation results are to be noted. Nevertheless it can be shown that the statistical properties of the measured and calculated actinic flux fields resemble each other very closely.

Um ein besseres Verständnis des Einflusses von Wolken auf den Strahlungstransport zu erlangen, müssen neben direkten Messungen der Strahlungsgrößen auch Strahlungstransportrechnungen durchgeführt werden. Dabei werden mikrophysikalische Eigenschaften aus Fernerkundungs- und in situ Messungen sowie generierte Wolkenfelder verwendet. In den BBC1- und BBC2 (= Baltex Bridge Cloud 1 und 2)-Messkampagnen wurden Messungen der mikrophysikalischen Wolkeneigenschaften und der Strahlungsgrößen durchgeführt. In diesem Bericht werden Ergebnisse von spektralen Monte Carlo Simulationen des Strahlungstransports in der Kurzwellenregion für Wellenlängen zwischen 350 nm und 850 nm für einen in BBC1 gemessenen Stratocumulus gezeigt. Zusätzlich wurden auch Strahlungstransportssimulationen für einen LES (= Large Eddy Simulation)- simulierten Cumulus und für eine entsprechende IAAFT (= Iterative Amplitude Adapted Fourier Transform)-Surrogatwolke mit denselben statistischen Eigenschaften wie die ursprüngliche Wolke durchgeführt. / For a better understanding of the role that clouds play in the radiative transfer (RT) across the atmosphere, computer RT simulations with microphysical data retrieved from remote sensing and in situ measurements as well as with cloud fields provided by cloud generators have to be carried out in addition to field measurements campaigns. In this work we show spectral RT results for two cloud studies. During the BBC1 and BBC2 (=Baltex Bridge Cloud 1 and 2) campaigns measurements of cloud radiation and microphysics properties have been performed. We present here the results of a series of quasi-spectral simulations covering the shortwave region (from 350 nm up to 850 nm) for a remote-sensing captured stratocumulus. RT calculations have also been carried out for a LES (=Large Eddy Simulation) cumulus and an IAAFT (=Iterative Amplitude Adapted Fourier Transform) surrogate cloud with the same statistics as the original.

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 remains vastly underutilized. Large labs filled with costly machines could be replaced by an IaaS implementation of a cloud. The purpose of this thesis is to propose such an implementation for use in Computer Science courses. The vertical architecture that I propose is known as V.I.C.E. which stands for Vertical Implementation of a Cloud for Education. It consists of a head node which will control the other nodes and handle the operations required to launch or terminate virtual machines( VMs), and five heterogeneous compute nodes on which VMs can be launched. The most important features of my architecture are its scalability and simplicity. A middle-ware I developed is launched by the head node and draws the compute node information from a database and uses it to carry out operations. The user will access these operations through a web interface meaning that all the complexity is hidden from them. To add compute nodes one would simply hook up the machine and add its information to the database on the head node making the entire architecture highly scalable. The goal of this research is to replace large costly computer labs with a vertical IaaS cloud architecture. This system would use thin clients to launch VMs from the cloud and allow students to a complete Operating System(OS) at a vastly reduced cost. More machines could also be added to the local cloud giving it the potential to support many more users.

In the recent years, the mobile gaming has been tremendously increased because of its enormous entertainment features. Mobile cloud gaming is a promising technology that overcomes the implicit restrictions such as computational capacity and limited battery life. GamingAnywhere is an open source cloud gaming system which is used in this thesis to measure the Quality of service of mobile cloud gaming. The aim of the thesis is to measure the QoS used in GamingAnywhere for mobile cloud gaming. Games are streamed from the server to the mobile client. In our study, QoS is measured using Differentiated Service (DiffServ) architecture for the traffic shaping. The research method is carried out using an experimental testbed. Dummynet is used for traffic shaping. Performance is measured in terms of bitrate, packet loss, jitter, and frame rate. Different resolutions of the game are considered in our empirical research and our results show that the framerate and bitrate have increased with the impact of network delay. / <p>Ganesh Grandhi: +46767671612</p>

<p>We are witnessing a paradigm shift in computing---people are increasingly using Web-based software for tasks that only a few years ago were carried out using software running locally on their computers. The increasing use of mobile devices, which typically have limited processing power, is catalyzing the idea of offloading computations to the cloud. It is within this context of cloud computing that this thesis attempts to address a few key questions: (a) With more computations moving to the cloud, what is the state of the Internet's core? In particular, do routing changes and consistent congestion in the Internet's core affect end users' experiences? (b) With software-defined networking (SDN) principles increasingly being used to manage cloud infrastructures, are the software solutions robust (i.e., resilient to bugs)? With service outage costs being prohibitively expensive, how can we support network operators in experimenting with novel ideas without crashing their SDN ecosystems? (c) How can we build a large-scale passive IP geolocation system to geolocate the entire IP address space at once so that cloud-based software can utilize the geolocation database in enhancing the end-user experience? (d) Why is the Internet so slow? Since a low-latency network allows more offloading of computations to the cloud, how can we reduce the latency in the Internet?</p> / Dissertation

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