Towards Cloud Computing Interoperability and Transportability for Services on the Platform As a Service Layer / Tier

Total Page:16

File Type:pdf, Size:1020Kb

Towards Cloud Computing Interoperability and Transportability for Services on the Platform As a Service Layer / Tier Towards Cloud Computing Interoperability and Transportability for Services on the Platform as a Service Layer / Tier DIPLOMA THESIS to confer the academic degree of Magister der Sozial- und Wirtschaftswissenschaften in the Diploma Program WIRTSCHAFTSINFORMATIK Author: Mario Meir-Huber Submission: Institute of Telecooperation Thesis Supervisor: Univ. Prof. Dr. Gabriele Anderst-Kotsis Assistant Thesis Supervisor: Dipl.-Ing. Matthias Steinbauer Linz, April, 2015 Eidesstattliche Erklärung Ich erkläre an Eides statt, dass ich die vorliegende Diplomarbeit selbstständig und ohne fremde Hilfe verfasst, andere als die angegebenen Quellen und Hilfsmittel nicht benutzt bzw. die wörtlich oder sinngemäß entnommenen Stellen als solche kenntlich gemacht habe. Die vorliegende Diplomarbeit ist mit dem elektronisch übermittelten Textdokument identisch. Table of Contents 1 Problem Statement and Approach ...................................................................................... 5 2 Cloud Computing Interoperability ..................................................................................... 6 2.1 What is interoperability? ............................................................................................ 6 2.2 Interoperability challenges for Platform as a Service ................................................ 9 2.3 Interoperability solutions for PaaS ........................................................................... 10 2.3.1 Standard initiatives ........................................................................................... 11 2.3.2 Libraries and Frameworks ................................................................................ 12 2.3.3 Discussion of existing standards and frameworks ........................................... 15 2.3.4 What is necessary to achieve interoperability in the Cloud? ........................... 17 3 Selection of Platform as a Service Providers ................................................................... 20 3.1 List of Platform as a Service Providers .................................................................... 20 3.2 Criteria used for further evaluation .......................................................................... 23 4 Detailed evaluation of selected PaaS Providers ............................................................... 25 4.1 AWS Elastic Beanstalk ............................................................................................ 25 4.2 Google AppEngine ................................................................................................... 27 4.3 IBM BlueMix ........................................................................................................... 29 4.4 Microsoft Windows Azure ....................................................................................... 31 4.5 Services Matrix ........................................................................................................ 34 4.6 Criteria for Services Implementation ....................................................................... 35 5 Services Architecture ....................................................................................................... 37 5.1 Overall Library architecture ..................................................................................... 37 5.2 Messaging ................................................................................................................. 41 5.2.1 Supported Operations and Functionality by Platforms .................................... 41 5.2.2 Service Implementation .................................................................................... 42 5.3 Blob Storage ............................................................................................................. 48 5.3.1 Supported Operations and Functionality by Platforms .................................... 48 5.3.2 Existing Interoperability Libraries ................................................................... 51 5.3.3 Service Implementation .................................................................................... 51 5.4 Key/Value Databases ............................................................................................... 61 5.4.1 Supported Operations and Functionality by Platforms .................................... 61 5.4.2 Service Implementation .................................................................................... 62 6 Evaluation and Conclusions ............................................................................................. 73 6.1 Demo Application .................................................................................................... 73 6.2 Learning’s ................................................................................................................. 78 6.3 Future Work ............................................................................................................. 80 6.3.1 Vertical extensions ........................................................................................... 80 6.3.2 Horizontal extensions ....................................................................................... 80 6.3.3 Further Quality improvements ......................................................................... 82 6.4 Concluding remarks ................................................................................................. 82 1 Problem Statement and Approach Cloud Computing is a new and emerging trend in IT. Many companies adopt this trend and start using a platform of their choice. One major issue often named in the context of cloud computing is interoperability. Research was conducted over the last years on Cloud Computing Interoperability with Infrastructure-as-a-Service (IaaS) solutions [Ste13a], [Ste13b]. A new and emerging trend in Cloud Computing is Platform-as-a-Service (PaaS). However, research is limited in terms of interoperability between different platforms and solutions. This thesis will show how interoperability between different platforms and solutions can be achieved. The Open Data Center Alliance describes some general necessities for PaaS Interoperability [Ope12]. This includes that an application should run on different cloud solutions to ensure interoperability. In this paper, it is also stated that data should be accessed without the need to re-write code when switching to another platform. Data portability is also a necessity by the European Union. In a position paper, the European Commission describes this already in 2012 [Eur12]. Dillon et al. state that there is significant work to be done for IaaS interoperability and some work for SaaS interoperability [Dil10]. However, they outline that there is not that much of work done yet for Platform as a Service (PaaS) interoperability. This work outlines how interoperability for PaaS solutions can be achieved. In chapter 2, an overview of interoperability and its relevance to cloud computing is given. This chapter will also outline relevant work in the domain that aims at achieving interoperability. Chapter 3 will then discuss cloud platforms used in companies. The most popular cloud platforms are then discussed in detail in chapter 4. In chapter 5, OCI, a new interoperability framework will be proposed. The aim of this framework is to enable interoperability on the PaaS layer. The Page 5 of 95 last chapter, chapter 6, will demonstrate the feasibility of PaaS interoperability with OCI. Furthermore, future work is described in this chapter as well. 2 Cloud Computing Interoperability As initially stated, Cloud interoperability is a challenge in the context of cloud as a technology. This section will outline interoperability, it’s challenges and on-going standardization efforts. 2.1 What is interoperability? Interoperability is used in various levels of software and systems. With Cloud Computing, several major interoperability questions arise. First of all, interoperability can be seen as an infrastructure interoperability element. As for infrastructure interoperability, it is basically about the question on how to move virtual instances from one cloud provider to another. Another interoperability question is about software and tools interoperability. This is not on how to transfer software from one provider to another, it is about how different software languages and tools collaborate in one cloud ecosystem or different cloud ecosystems. An example of that is a message-based communication between a Java-based solution and a Microsoft .NET solution. Mayrbäurl et al. described such a scenario on a Microsoft Azure based solution that itself communicates with an on-premise solution that is written in Java, whereas the Cloud service uses .NET [May11]. The third interoperability question is about the services offered by different distributors. When someone builds a cloud solution based on a specific provider and uses a software stack such as J2EE or Microsoft .NET, it is not that difficult to move the application to another instance or Cloud provider. However, when this application consumes platform-specific services such as a distributed storage service, a messaging service, e-mail and alike, migration Page 6 of 95 becomes challenging. Therefore, providing interoperability on the platform services level is another key issue in Cloud computing interoperability. Gonidis et al. defines Interoperability with two different characteristics [Gon11]. According to this paper, interoperability is when two components
Recommended publications
  • Workload and Resource Aware, Proactive Autoscaler for Paas Cloud Frameworks
    University of Moratuwa Department of Computer Science & Engineering CS4202 - Research and Development Project inteliScaler Workload and Resource Aware, Proactive Autoscaler for PaaS Cloud Frameworks Group Members 110532R Ridwan Shariffdeen 110375L Tharindu Munasinghe 110056K Janaka Bandara 110059X Bhathiya Supun Supervisors Internal Dr. H.M.N. Dilum Bandara External Mr. Lakmal Warusawithana, WSO2 Dr. Srinath Perera, WSO2 Coordinated by Dr. Malaka Walpola THIS REPORT IS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF BACHELOR OF SCIENCE OF ENGINEERING AT UNIVERSITY OF MORATUWA, SRI LANKA. February 21, 2016 1 Declaration We, the project group inteliScaler hereby declare that except where specified reference is made to the work of others, the project inteliScaler - a resource & cost aware, proactive auto scaler for PaaS cloud is our own work and contains nothing which is the outcome of work done in collaboration with others, except as specified in the text and Acknowledgement. Signatures of the candidates: ....................................................... R.S. Shariffdeen [110532R] ....................................................... D.T.S.P. Munasinghe [110375L] ....................................................... U.K.J.U. Bandara [110056K] ....................................................... H.S. Bhathiya [110059X] Supervisor: ....................................................... (Signature and Date) Dr. H.M.N. Dilum Bandara Coordinator: ......................................................
    [Show full text]
  • What Is Bluemix
    IBM Brings Bluemix to Developers! This document has been prepared for the TMForum Hackathon in Nice, France. The first section of this document shares Bluemix related notes, and it is followed by notes appropriate for viewing content from exposed APIs (provided by TMForum and FIware) then you see the node flows that are available for you. IBM® Bluemix™ is an open-standard, cloud-based platform for building, managing, and running apps of all types, such as web, mobile, big data, and smart devices. Capabilities include Java, mobile back-end development, and application monitoring, as well as features from ecosystem partners and open source—all provided as-a-service in the cloud. Get started with Bluemix: ibm.biz/LearnBluemix Sign up for Bluemix: https://ibm.biz/sitefrbluemix Getting started with run times: http://bluemix.net/docs/# View the catalog and select the mobile cloud boilerplate: http://bluemix.net/#/store/cloudOEPaneId=store Tap into the Internet of Things: http://bluemix.net/#/solutions/solution=internet_of_things Bluemix tutorial in Open Classroom: http://openclassrooms.com/courses/deployez-des-applications- dans-le-cloud-avec-ibm-bluemix This table below can be used for general enablement. It is been useful to developers are previous hackathons. Source Code : Quick Start Technical Asset Name URL/Mobile App Technical Asset Description Guide Uses Node.js runtime, Internet Connected Home Automation ibm.biz/ATTconnhome2 of Things boilerplate, Node-RED ibm.biz/ATTconnhome2qs App editor and MQTT protocol Uses Node.js runtime, Connected
    [Show full text]
  • A Complete Survey on Software Architectural Styles and Patterns
    Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 70 ( 2015 ) 16 – 28 4th International Conference on Eco-friendly Computing and Communication Systems, ICECCS 2015 A Complete Survey on Software Architectural Styles and Patterns Anubha Sharmaa*,Manoj Kumarb, Sonali Agarwalc a,b,cIndian Institute of Information Technology,Allahabad 211012,India Abstract Software bought revolutionary change making entrepreneurs fortunate enough to make money in less time with least effort and correct output. SDLC (Software development life cycle) is responsible for software’s reliability, performance, scalability, functionality and maintainability. Although all phases of SDLC have their own importance but Software architecture serves as the foundation for other phases of SDLC. Just like sketch of a building helps constructor to correctly construct the building, software architecture helps software developer to develop the software properly. There are various styles available for software architecture. In this paper, clear picture of all important software architecture styles are presented along with recent advancement in software architecture and design phases. It could be helpful for a software developer to select an appropriate style according to his/her project’s requirement. An architectural style must be chosen correctly to get its all benefits in the system. All the architectural styles are compared on the basis of various quality attributes. This paper also specifies the application area, advantages and disadvantages of each architectural style. © 20152015 The The Authors. Authors. Published Published by byElsevier Elsevier B.V. B.V. This is an open access article under the CC BY-NC-ND license (Peerhttp://creativecommons.org/licenses/by-nc-nd/4.0/-review under responsibility of the Organizing).
    [Show full text]
  • Cutter IT Journal
    Cutter The Journal of IT Journal Information Technology Management Vol. 26, No. 3 March 2013 “Cloud service providers, the IT industry, professional The Emerging Cloud Ecosystem: and industry associations, governments, and IT pro- Innovative New Services and fessionals all have a role to Business Models play in shaping, fostering, and harnessing the full potential of the emerging cloud ecosystem.” Opening Statement — San Murugesan, by San Murugesan . 3 Guest Editor Merging IaaS with PaaS to Deliver Robust Development Tools by Beth Cohen . 6 Intrusion Detection as a Service (IDaaS) in an Open Source Cloud Infrastructure by John Prakash Veigas and K Chandra Sekaran . 12 Cloud Ecology: Surviving in the Jungle by Claude R. Baudoin . 19 The Promise of a Diverse, Interoperable Cloud Ecosystem — And Recommendations for Realizing It by Kathy L. Grise . 26 NOT FOR DISTRIBUTION For authorized use, contact Cutter Consortium: +1 781 648 8700 [email protected] Cutter IT Journal About Cutter IT Journal Cutter IT Journal® Cutter Business Technology Council: Part of Cutter Consortium’s mission is to Cutter IT Journal subscribers consider the Rob Austin, Ron Blitstein, Tom DeMarco, Lynne Ellyn, Israel Gat, Vince Kellen, foster debate and dialogue on the business Journal a “consultancy in print” and liken Tim Lister, Lou Mazzucchelli, technology issues challenging enterprises each month’s issue to the impassioned Ken Orr, and Robert D. Scott today, helping organizations leverage IT for debates they participate in at the end of Editor Emeritus: Ed Yourdon competitive advantage and business success. a day at a conference. Publisher: Karen Fine Coburn Cutter’s philosophy is that most of the issues Group Publisher: Chris Generali that managers face are complex enough to Every facet of IT — application integration, Managing Editor: Karen Pasley merit examination that goes beyond simple security, portfolio management, and testing, Production Editor: Linda M.
    [Show full text]
  • Cloud Computing
    PA200 - Cloud Computing Lecture 6: Cloud providers by Ilya Etingof, Red Hat In this lecture • Cloud service providers • IaaS/PaaS/SaaS and variations • In the eyes of the user • Pros&Cons • Google Cloud walk-through Cloud software vs cloud service • Cloud software provider • OpenStack, RedHat OpenShift, oVirt • Many in-house implementations • Cloud service provider • Amazon EC2 • Microsoft Azure • Google Cloud Platform • RedHat OpenShift Online • ... What does CSP do? A combination of: • IaaS • PaaS/Stackless/FaaS • SaaS Business use of CSPs The hyperscalers: What does IaaS CSP do? • Abstracts away the hardware • Operating system as a unit of scale (before IaaS, hardware computer has been a unit of scale) IaaS CSP business model • Owns/rents physical DC infrastructure • Owns/buys Internet connectivity (links, IX etc) • Provides IaaS to end customers • Serves other CSPs: PaaS and SaaS • Base for multi-cloud CSPs Typical IaaS offering • Compute nodes (VMs) • Virtual networks • Bare metal nodes • Managed storage (block, file systems) • Instance-based scaling and redundancy • Pay per allocated resources (instances, RAM, storage, traffic) Example IaaS • Amazon Elastic Compute Cloud (EC2) • Google Cloud • Microsoft Azure Cloud Computing Service IaaS CSP differentiation • Technically interchangeable • Similar costs • Customer is not heavily locked-in Multicloud Multiple cloud services under the single control plane • Reduces dependence on a single CSP • Balances load/location/costs • Gathers resources • Same deployment model (unlike hybrid cloud) Examples of multicloud software • IBM Cloud Orchestrator • RedHat CloudForms • Flexera RightScale What does PaaS CSP do? • Abstracts away the OS • Containerized application as a unit of scale PaaS CSP business model • Owns or rents the IaaS • Maintains the platform • Maintains services, data collections etc.
    [Show full text]
  • Innovative Feedback System Based on Ibm Bluemix Cloud Service
    INNOVATIVE FEEDBACK SYSTEM BASED ON IBM BLUEMIX CLOUD SERVICE P.P.N.G. Phani Kumar1, N. Anil Chakravarthy2, D.V.S.Ravi Varma3, M.Y.V.Nagesh4 1,2,3,4 Assistant Professor, Department of CSE, Raghu Engineering College, Visakhapatnam, (India). ABSTRACT Getting the right feedback at right time is most important for any organization or an institution. Getting the feedback from the users will help an organization or institution to provide better services to the users or students. Ongoing interaction with users can improve the efficiency of an organization and enable them to provide better service to the users. Until now, several feedback systems are in use which are mostly manual. We propose an efficient feedback system using cloud based computing to generate the report of the faculty performance. In the proposed system all the activities will be done by the use of cloud application Platform as a Service, through the use of IBM Bluemix. Keywords: Android, Bluemix, Cloud Computing, Paas (Platform As A Services) I INTRODUCTION Cloud Computing[1] is a popular technology in which internet and central remote servers are used to store and maintain the data, applications. Cloud computing allows people to use applications without installation of any specialized software and access the required computing facilities from anywhere via internet. By using Cloud computing we can achieve much more efficient computing power by centralizing data storage, processing and bandwidth. Cloud can be available as various services Software as a service (SaaS), Platform as a service (PaaS), Infrastructure as a service (IaaS) 1.1 Services Fig.1: Cloud Computing Services 260 | P a g e Software as a service (SaaS): Software as a service is one type of cloud service in which an application software is installed and manage in the cloud.
    [Show full text]
  • Google App Engine
    Basics of Cloud Computing – Lecture 6 PaaS - Platform as a Service Google App Engine Pelle Jakovits 18 March, 2014, Tartu Outline • Introduction to PaaS • Google Cloud • Google AppEngine – DEMO - Creating applications – Available Google Services – Costs & Quotas • Windows Azure PaaS • PaaS Advantages & Disadvantages 2 Cloud Services 3 Platform as a Service - PaaS • Model of Cloud Computing where users are provided with a full platform for their applications • Enables businesses to build and run web-based, custom applications in on -demand fashion • Eliminates the expense and complexity of selecting , purchasing, configuring , and managing the hardware and software. • Provides access to unlimited computing power, decreasing upfront costs dramatically 4 PaaS Characteristics • Multi-tenant architecture • Built-in scalability of deployed software • Integrated with web services and databases • Users are provided with tools to simplify creating and deploying applications • Simplifies prototyping and deploying startup solutions 5 PaaS Characteristics • Users only pay for the service that they use. • More fine grained cost model • Provides tools to handle billing and subscription management • Using PaaS typically results in a vendor lock-in. 6 Types of PaaS • Stand Alone Application Platforms – Typically built on top of an existing IaaS – Provides development tools for designing and deploying software. – Provide all required computing resources and services needed for hosted applications • Social Application Development Platforms – Used to develop addons and internal applications for social websites like Google+ and Facebook. – Integrated API with the social website platform. – Can be seen as extending a SaaS • Open-Computing Platforms – Not tied to a single IaaS provider. – Supports applications that are written in numerous languages and that use any type of database, operating system, and server.
    [Show full text]
  • The Needs of Virtual Machines Implementation in Private Cloud Computing Environment
    THE NEEDS OF VIRTUAL MACHINES IMPLEMENTATION IN PRIVATE CLOUD COMPUTING ENVIRONMENT Edy Kristianto Jurusan Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Kristen Krida Wacana Jl. Tanjung Duren Raya no. 4, Jakarta Barat, 11470 [email protected] ABSTRACT The Internet of Things (IOT) becomes the purpose of the development of information and communication technology. Cloud computing has a very important role in supporting the IOT, because cloud computing allows to provide services in the form of infrastructure (IaaS), platform (PaaS), and Software (SaaS) for its users. One of the fundamental services is infrastructure as a service (IaaS). This study analyzed the requirement that there must be based on a framework of NIST to realize infrastructure as a service in the form of a virtual machine to be built in a cloud computing environment. Keywords: cloud computing, virtual machine, virtualisation, iaas ABSTRAK The Internet of Things (IoT) menjadi tujuan perkembangan teknologi informasi dan komunikasi. Komputasi awan memiliki peranan yang sangat penting dalam mendukung terjadinya IoT, karena komputasi awan memungkinkan menyediakan layanan baik berupa infrastuktur (IaaS), platform (PaaS), dan perangkat lunak (SaaS) bagi para penggunanya. Salah satu layanan yang mendasar adalah infrastruktur sebagai layanan (IaaS). Penelitian ini menganalisa kebutuhan yang harus ada berdasarkan kerangka kerja dari NIST untuk mewujudkan infrastruktur sebagai layanan dalam bentuk mesin virtual yang akan dibangun dalam lingkungan komputasi awan. Kata kunci: komputasi awan, mesin virtual, virtualisasi, iaas The Needs of Virtual Machines.… (Edy Kristianto) 525 PENDAHULUAN Perkembangan teknologi informasi mengarah pada The Internet of Things (IoT) dengan meningkatnya penggunaan smartphone dalam kehidupan manusia untuk berkomunikasi dan akses internet.
    [Show full text]
  • Openshift Vs Pivotal Cloud Foundry Comparison Red Hat Container Stack - Pivotal Cloud Foundry Stack
    OPENSHIFT VS PIVOTAL CLOUD FOUNDRY COMPARISON RED HAT CONTAINER STACK - PIVOTAL CLOUD FOUNDRY STACK 3 AT A GLANCE PIVOTAL CF OPENSHIFT • ●Garden and Diego • ●Docker and Kubernetes • ●.NET and Spring • ●.NET, Spring and JBoss Middleware • ●Only Cloud-native apps (including full Java EE) • ●Container security on Ubuntu • ●Cloud-native and stateful apps • ●Deployment automation • ●Enterprise-grade security on • ●Open Core Red Hat Enterprise Linux • ●Pivotal Labs consulting method • ●Complete Ops Management • ●100% Open Source 5X PRICE • ●Red Hat Innovation Labs consulting method BRIEF COMPARISON PIVOTAL CF OPENSHIFT GARDEN & DIEGO DOCKER & KUBERNETES • ●Garden uses OCI runC backend • ●Portable across all docker platforms • ●Not portable across Cloud Foundry distros • ●IP per container • ●Containers share host IP • ●Integrated image registry • ●No image registry • ●Image build from source and binary • ●Private registries are not supported • ●Adoption in many solutions • ●No image build • ●Adoption only in Cloud Foundry 11 NO NATIVE DOCKER IN CLOUD FOUNDRY Converters Are Terrible Cloud Foundry is based on the Garden container runtime, not Docker, and then has RunC and Windows backends. RunC is not Docker, just the lowest runtime layer Docker Developer Experience Does Not Exist in PCF PCF “cf push” Dev Experience does not exist for Docker. In Openshift v3 we built S2I to provide that same experience on top of native Docker images/containers Diego Is Not Kubernetes Kubernetes has become the defacto standard for orchestrating docker containers.
    [Show full text]
  • Why Devops Stops
    1 What is Krista? Intelligent Automation Deployment is Simple Krista is a modern conversational Intelligent Krista's Natural Language Processing supports Automation platform designed to easily leverage voice, text, and *bots to deliver automation anyone existing IT assets. Krista's unique informal understands. By utilizing existing communication approach enables business process owners to methods in conversations, you take advantage of quickly build new lookup or data entry workflows how your employees already communicate. Krista without waiting in line for expensive IT or quickly deploys to existing desktops, mobile development resources. Krista uses a unique phones, Slack, and web browsers that your programming method similar to a text conversation employees are already using. You won't need to between one or more people. By following the way train employees or maintain brittle documentation humans already communicate, Krista enables since the automation follows existing voice and anyone to build and create workflows around texting conversations similar to WhatsApp or business process constraints. The conversational Facebook Messenger. If your employees can text, workflows eliminate maintenance and upkeep they can interact with numerous systems to required from traditional record and playback support customers, consume enterprise services, automation tools. Krista's conversations are deploy IT changes, or update important KPIs. beautifully simple, with enough power, scale, and security to find any answer inside the largest enterprises. DevOps – It’s improving. DevOps Evolution Model Stage 1 Stage 2 Stage 3 Stage 4 Stage 5 Automated infrastructure Normalization Standardization Expansion Self-service delivery Many DevOps initiatives and cultures slow or stop at Stage 3 and fail to scale since organizational structures (aka people) become constraints in the Neutral Zone.
    [Show full text]
  • What Is Cloud Computing?
    Cloud Computing for Nonprofits Executive Summary Written by Afua Bruce February 2020 What is Cloud Computing? Cloud computing can be defined as the rental of someone else‘s computer resources to provide services — applications, infrastructure, security, software, and storage. There are three main categories of cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). CATEGORY INFRASTRUCTURE AS PLATFORM AS A SERVICE SOFTWARE AS A SERVICE A SERVICE Abbreviation IaaS PaaS SaaS Cloud provider Provides the server Maintain system software, Deliver software through an internet responsibilities hardware and a small including upgrades and connection; maintain system amount of storage and patches; tools to manage software and databases; provision networking software to hardware and software user accounts and provide security host applications Example services Amazon Web Services Amazon Web Services (AWS) Office 365, Salesforce, Google Apps, (AWS) Elastic Compute Elastic Beanstalk, Heroku, Asana, Slack, Calendly, Hootsuite Service, Google Microsoft Azure, Cloud Foundry Compute Engine (GCE), Apache CloudStack, OpenStack Positives and Negatives of Cloud Computing The flexibility of cloud computing makes it attractive to nonprofits. As organizations grow or their needs change, rather than continually purchasing new storage capacity to support applications, by leveraging cloud computing, nonprofits can simply request additional space based on current needs and usage. As with all technology, however,
    [Show full text]
  • Cloud Computing in Amazon Web Services, Microsoft Window Neu
    CHIMA DESMOND OPARADESMOND CHIMA CLOUD COMPUTING IN AMAZON WEB SERVICES, MICROSOFT WINDOWS AZURE, GOOGLE APP ENGINE AND IBM CLOUD PLATFORMS: A COMPARATIVE STUDY CLOUD COMPUTING IN AMAZON WEB SERVICES, MICROSOFT WINDOW NEU NEU WINDOW MICROSOFT SERVICES, WEB AMAZON IN COMPUTING CLOUD AZURE, GOOGLE APP ENGINE AND IBM CLOUD PLATFORMS: 2019 2019 PLATFORMS: CLOUD IBM AND ENGINE APP GOOGLE AZURE, A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF APPLIED SCIENCES A COMPARATIVE STUDY A COMPARATIVE OF NEAR EAST UNIVERSITY By CHIMA DESMOND OPARA In Partial Fulfillment of the Requirements for the Degree of Master of Science in Computer Information Systems NICOSIA, 2019 CLOUD COMPUTING IN AMAZON WEB SERVICES, MICROSOFT WINDOWS AZURE, GOOGLE APP ENGINE AND IBM CLOUD PLATFORMS: A COMPARATIVE STUDY A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF APPLIED SCIENCES OF NEAR EAST UNIVERSITY By CHIMA DESMOND OPARA In Partial Fulfillment of the Requirements for the Degree of Master of Science in Computer Information System NICOSIA, 2019 Chima Desmond OPARA: CLOUD COMPUTING IN AMAZON WEB SERVICES, MICROSOFT WINDOWS AZURE, GOOGLE APP ENGINE, AND IBM CLOUD PLATFORMS: A COMPARATIVE STUDY Approval of Director of Graduate School of Applied Sciences Prof. Dr. Nadire CAVUS We certify this thesis is satisfactory for the award of the Degree of Masters of Science in Computer Information Systems Examining Committee in Charge: Assoc.Prof.Dr. Fezile Özdamlı Committee Chairperson, Department of Computer Information Systems, NEU Prof.Dr. Nadire Çavuş Supervisor, Department of Computer Information Systems, NEU Asst.Prof.Dr. Damla Karagözlü Co-Supervisor, Department of Computer Information Systems, NEU Assoc.Prof.Dr. Hüseyin Bicen Department of Computer Education and Instructional Technologies, NEU Asst.Prof.Dr.
    [Show full text]