AWS Cloud Computing Models Saas, Iaas, and Paas
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BEST PRACTICE GUIDE for CLOUD and AS-A-SERVICE PROCUREMENTS Executive Summary 1 Introduction
BEST PRACTICE GUIDE FOR CLOUD AND AS-A-SERVICE PROCUREMENTS Executive Summary 1 Introduction Specific Models and Understanding Cloud Procurement Service Models Data EXECUTIVE SUMMARY Breach Notification Personnel Security While private companies rapidly move systems and Vendors share blame, too. Lots of cloud providers are new to Encryption applications to the cloud, public agencies still struggle to adopt public sector business, having grown up selling to consumers Audits Operations hosted services that could save money and provide better value. and private firms. These companies don’t always understand Hybrid Cloud Environments legitimate demands that make government contracting Preparation for Migrating Yet states and localities have much to gain from the different from selling to other markets. Failure to accommodate Workloads to the Cloud technology industry’s “as-a-service” revolution. Many unique government requirements can be a deal-breaker for jurisdictions face huge legacy system replacement challenges. agencies charged with protecting the public’s interests. Conclusion They’re also under pressure to provide new classes of digital services. The cloud can offer a better path toward All too often, government and industry aren’t on the same page Workgroup Members modernization — there’s no hardware to buy, you’re always when it comes to cloud services. They may not even speak the and Contributors on the latest version of the software and system capacity same language. can be adjusted almost instantly based on your needs. Appendix 1 Bridging the Gap Model Terms and Conditions Templates So why is government lagging behind? The fact is that These pressures led us to release the first version of this guide Software-as-a-Service governments often struggle to buy cloud-based services because two years ago. -
Elliptic Curve Cryptography in Cloud Computing Security
Elliptic curve cryptography in cloud computing security Manu Gopinathan ([email protected]) Øyvind Nygard ([email protected]) Kjetil Aune([email protected]) December 1st, 2015 1 Abstract Cloud computing is a technological advancement that has been growing swiftly during the last decade. In simple terms, cloud computing is a technology that enables shared, remote, on-demand and ubiquitous access to services through the Internet. It enables consumers to access applications and services that reside on remote servers, without having to allocate large amounts of storage space on their own computer and without the need for extensive compatibility configurations. Many such cloud applications provide services that are meant to handle sensitive user data and thus the protection of this data in terms of access and integrity is of major concern. Space- and time complexity of encryption algorithms can prove to be imperative when it comes to system performance. In this paper we will briefly present how elliptic curve cryptography (EEC) works, and then describe the advantages of it and how it can be used as an encryption solution to security related issues in cloud computing. 2 Introduction In this section we will briefly describe the notion of cloud computing to aid us in the discussion of ECC in cloud computing later. According to the National Institute of Standards and Technology (NIST), essential characteristics for a service based on the cloud computing model are [1]: 1. On-demand self-service: The consumer can provision service capabilities, such as server time and network storage, without actively interacting with the service provider. 2. -
Software As a Service
Software as a Service Haojie Hang Ogheneovo Dibie Executive Summary • In this presentation, we go through the Software as a Service Methodology, examine its benefits and drawbacks and talk about two state-of-art SaaS systems– Amazon Web Service and Google App Engine • We also look into Service Oriented Architecture powering SaaS applications and its impact on modern web 2.0 applications • Finally, we examine hybrids of traditional and SaaS applications Overview • What is Software as a Service (SaaS) • Background o Brief history o Concept o Big picture o Related terms • Computing Today o SasS is everywhere o The SaaS Market • Benefits of SaaS • Drawbacks of SaaS o Robustness o Privacy o Security o Reliability • Service Oriented Architectures (SOA) o Guiding principles of SOA • Case studies o Amazon Web Services (AWS) o Google App Engine • Influence of SOA on Web 2.0 development o Zend Framework • Hybrids of Traditional and SaaS applications o Dropbox o Microsoft Office • Summary • References What is SaaS? • Definition: Software as a Service (SaaS), a.k.a. on- demand software, is a software delivery model in which software and its associated data are hosted centrally and accessed using a thin-client, usually a web browser over the internet. – Wikipedia • Simply put, SaaS is a method for delivering software that provides remote access to software as a web- based service. The software service can be purchased with a monthly fee and pay as you go. What is SaaS? • Where does the term SaaS come from? o The SAAS acronym allegedly first appeared -
Cloud Computing and Internet of Things: Issues and Developments
Proceedings of the World Congress on Engineering 2018 Vol I WCE 2018, July 4-6, 2018, London, U.K. Cloud Computing and Internet of Things: Issues and Developments Isaac Odun-Ayo, Member, IAENG, Chinonso Okereke, and Hope Orovwode Abstract—Cloud computing is a pervasive paradigm that is allows access to recent technologies and it enables growing by the day. Various service types are gaining increased enterprises to focus on core activities, instead programming importance. Internet of things is a technology that is and infrastructure. The services provided include Software- developing. It allows connectivity of both smart and dumb as-a-Service (SaaS), Platform-as–a–Service (PaaS) and systems over the internet. Cloud computing will continue to be Infrastructure–as–a–Services (IaaS). SaaS provides software relevant to IoT because of scalable services available on the cloud. Cloud computing is the need for users to procure servers, applications over the Internet and it is also known as web storage, and applications. These services can be paid for and service [2]. utilized using the various cloud service providers. Clearly, IoT Cloud users can access such applications anytime, which is expected to connect everything to everyone, requires anywhere either on their personal computers or on mobile not only connectivity but large storage that can be made systems. In PaaS, the cloud service provider makes it available either through on-premise or off-premise cloud possible for users to deploy applications using application facility. On the other hand, events in the cloud and IoT are programming interfaces (APIs), web portals or gateways dynamic. -
Overview of Cloud Storage Allan Liu, Ting Yu
Overview of Cloud Storage Allan Liu, Ting Yu To cite this version: Allan Liu, Ting Yu. Overview of Cloud Storage. International Journal of Scientific & Technology Research, 2018. hal-02889947 HAL Id: hal-02889947 https://hal.archives-ouvertes.fr/hal-02889947 Submitted on 6 Jul 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Overview of Cloud Storage Allan Liu, Ting Yu Department of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai Abstract— Cloud computing is an emerging service and computing platform and it has taken commercial computing by storm. Through web services, the cloud computing platform provides easy access to the organization’s storage infrastructure and high-performance computing. Cloud computing is also an emerging business paradigm. Cloud computing provides the facility of huge scalability, high performance, reliability at very low cost compared to the dedicated storage systems. This article provides an introduction to cloud computing and cloud storage and different deployment modules. The general architecture of the cloud storage is also discussed along with its advantages and disadvantages for the organizations. Index Terms— Cloud Storage, Emerging Technology, Cloud Computing, Secure Storage, Cloud Storage Models —————————— u —————————— 1 INTRODUCTION n this era of technological advancements, Cloud computing Ihas played a very vital role in changing the way of storing 2 CLOUD STORAGE information and run applications. -
Model to Implement Virtual Computing Labs Via Cloud Computing Services
S S symmetry Article Model to Implement Virtual Computing Labs via Cloud Computing Services Washington Luna Encalada 1,2,* ID and José Luis Castillo Sequera 3 ID 1 Department of Informatics and Electronics, Polytechnic School of Chimborazo, Riobamba 060155, EC, Ecuador 2 Department of Doctorate in Systems Engineering and Computer Science, National University of San Marcos, Lima 15081, Peru; [email protected] 3 Department of Computer Sciences, Higher Polytechnic School, University of Alcala, 28871 Alcala de Henares, Spain; [email protected] * Correspondence: [email protected]; Tel.: +593-032-969-472 Academic Editor: Yunsick Sung Received: 1 May 2017; Accepted: 3 July 2017; Published: 13 July 2017 Abstract: In recent years, we have seen a significant number of new technological ideas appearing in literature discussing the future of education. For example, E-learning, cloud computing, social networking, virtual laboratories, virtual realities, virtual worlds, massive open online courses (MOOCs), and bring your own device (BYOD) are all new concepts of immersive and global education that have emerged in educational literature. One of the greatest challenges presented to e-learning solutions is the reproduction of the benefits of an educational institution’s physical laboratory. For a university without a computing lab, to obtain hands-on IT training with software, operating systems, networks, servers, storage, and cloud computing similar to that which could be received on a university campus computing lab, it is necessary to use a combination of technological tools. Such teaching tools must promote the transmission of knowledge, encourage interaction and collaboration, and ensure students obtain valuable hands-on experience. -
Openstack: the Path to Cloud
OpenStack: The Path to Cloud Considerations and recommendations for businesses adopting cloud technology openstack.org Table of Contents Executive Overview 1 Enterprise Cloud Strategy 2 Approaches to an OpenStack Private Cloud 5 Forming the OpenStack Team 9 Organization and Process Considerations 13 Choosing Workloads for Your Cloud 16 Implementation Phases 22 Post-deployment 30 Summary 32 References 33 Glossary 34 *Underlined gray bold words and concepts are defined in the Glossary at the end. CONTRIBUTORS Carol Barrett, Cloud Software Planner, Intel Corporation Tyler Britten, Technical Advocate, Blue Box, an IBM company Kathy Cacciatore, Consulting Marketing Manager, OpenStack Foundation Pete Chadwick, Senior Product Manager, SUSE Paula Phipps, Senior Manager, Infrastructure Software Marketing, Hitachi Data Systems Gerd Prüßmann, Director Cloud Solutions, Mirantis Megan Rossetti, Cloud Infrastructure Operations, Walmart Yih Leong Sun, PhD, Senior Software Cloud Architect, Intel Corporation Shamail Tahir, Offering Manager, IBM Heidi Joy Tretheway, Senior Marketing Manager, OpenStack Foundation Susan Wu, Director of Technical Marketing, Midokura Executive Overview This book is written to help enterprise architects implement an OpenStack® cloud. With architects with one foot in information technology and the other in business operations in mind, we want to offer insights and best practices to help you achieve multiple (and sometimes competing) goals. If you’re looking for vendor-neutral answers about planning your path to an OpenStack cloud, you’re in the right place. Members of the OpenStack community—technologists, business leaders and product managers—collaborated on this book to explain how to get started with an OpenStack cloud. We’ve included pros and cons to help you make better choices when setting up your cloud, along with anticipated investments of both time and money. -
Data Warehouse Offload to Google Bigquery
DATA WAREHOUSE OFFLOAD TO GOOGLE BIGQUERY In a world where big data presents both a major opportunity and a considerable challenge, a rigid, highly governed traditional enterprise data warehouse isn’t KEY BENEFITS OF MOVING always the best choice for processing large workloads, or for applications like TO GOOGLE BIGQUERY analytics. Google BigQuery is a lightning-fast cloud-based analytics database that lets you keep up with the growing data volumes you need to derive meaningful • Reduces costs and business value, while controlling costs and optimizing performance. shifts your investment from CAPEX to OPEX Pythian’s Data Warehouse Offload to Google BigQuery service moves your workload from an existing legacy data warehouse to a Google BigQuery data • Scales easily and on demand warehouse using our proven methodology and Google experts–starting with a fixed-cost Proof of Concept stage that will quickly demonstrate success. • Enables self-service analytics and advanced analytics GETTING STARTED The Pythian Data Warehouse Offload to Google BigQuery service follows a proven methodology and delivers a Proof of Concept (POC) that demonstrates viability and value within three to four weeks. The POC phase will follow this workflow: 1. Assess existing data warehouse environment to identify tables and up to two reports that will be offloaded in this phase 2. Provision GCP infrastructure including Cloud storage, Bastion hosts, BigQuery, and Networking 3. Implement full repeatable extract/load process for selected tables 4. Implement selected reports on BigQuery 5. Produce report PYTHIAN DELIVERS By the end of the first stage of our engagement, you can expect to have: • Working prototype on BigQuery • Up to two reports • Demonstrated analysis capabilities using one fact with five associated dimensions www.pythian.com • Report that includes: an assessment of your current setup and support you need to plan and maintain your full (including a cost analysis for BigQuery), performance/ Google BigQuery data warehouse and enterprise analytics usability analysis of POC vs. -
Enhancing Bittorrent-Like Peer-To-Peer Content Distribution with Cloud Computing
ENHANCING BITTORRENT-LIKE PEER-TO-PEER CONTENT DISTRIBUTION WITH CLOUD COMPUTING A THESIS SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Zhiyuan Peng IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE Haiyang Wang November 2018 © Zhiyuan Peng 2018 Abstract BitTorrent is the most popular P2P file sharing and distribution application. However, the classic BitTorrent protocol favors peers with large upload bandwidth. Certain peers may experience poor download performance due to the disparity between users’ upload/download bandwidth. The major objective of this study is to improve the download performance of BitTorrent users who have limited upload bandwidth. To achieve this goal, a modified peer selection algorithm and a cloud assisted P2P network system is proposed in this study. In this system, we dynamically create additional peers on cloud that are dedicated to boost the download speed of the requested user. i Contents Abstract ............................................................................................................................................. i List of Figures ................................................................................................................................ iv 1 Introduction .............................................................................................................................. 1 2 Background ............................................................................................................................. -
Tensorflow and Serverless Machine Learning with Google Cloud Platform
TensorFlow and Serverless Machine Learning with Google Cloud Platform Date: Out of 133 million new jobs to be created by 2022, the top ones will be in the areas of machine learning, artificial intelligence, and data science. Employees in these roles can command an annual salary of over $125,000. This full-day workshop will Friday, April 26, 2019 advance your existing skills in programming, SQL, and Linux and get you started on a portfolio project you can use in discussions with employers about job opportunities in Time : these high demand careers. 8:30 AM—5:30 PM Presented by Location: Carl Osipov, Co-Founder & CTO, Counter Factual .AI Volusia County Business Incubator Powered by UCF Workshop Objectives: Learn how to: 601 Innovation Way Identify business use cases for machine learning Daytona Beach, FL Build a machine learning model using TensorFlow, Python, and SQL 32114 Scale and deploy machine learning models using Google Cloud MLE RSVP: Productionize trained machine learning models as web services [email protected] Materials you will need in advance: The workshop will be conducted on Price: Google Cloud Platform (GCP) and will use GCP's infrastructure to run Ten- Incubator Clients: and sorFlow. All you will need is a reasonably powerful laptop running an up-to- Graduates Free date browser (preferably Chrome). Make sure that the laptop is well charged sponsored by Career in advance! Source Please call Kathy at: (386) 561-9750 Skills Prerequisites: You must have beginner level experience with pro- All Others: gramming using Python and SQL. You should also be comfortable with com- $295 mon Linux/UNIX shell commands. -
Performance Efficiency Pillar
Performance Efficiency Pillar AWS Well-Architected Framework Performance Efficiency Pillar AWS Well-Architected Framework Performance Efficiency Pillar: AWS Well-Architected Framework Copyright © Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon. Performance Efficiency Pillar AWS Well-Architected Framework Table of Contents Abstract and Introduction ................................................................................................................... 1 Abstract .................................................................................................................................... 1 Introduction .............................................................................................................................. 1 Performance Efficiency ....................................................................................................................... 2 Design Principles ........................................................................................................................ 2 Definition ................................................................................................................................. -
Cluster, Grid and Cloud Computing: a Detailed Comparison
The 6th International Conference on Computer Science & Education (ICCSE 2011) August 3-5, 2011. SuperStar Virgo, Singapore ThC 3.33 Cluster, Grid and Cloud Computing: A Detailed Comparison Naidila Sadashiv S. M Dilip Kumar Dept. of Computer Science and Engineering Dept. of Computer Science and Engineering Acharya Institute of Technology University Visvesvaraya College of Engineering (UVCE) Bangalore, India Bangalore, India [email protected] [email protected] Abstract—Cloud computing is rapidly growing as an alterna- with out any prior reservation and hence eliminates over- tive to conventional computing. However, it is based on models provisioning and improves resource utilization. like cluster computing, distributed computing, utility computing To the best of our knowledge, in the literature, only a few and grid computing in general. This paper presents an end-to- end comparison between Cluster Computing, Grid Computing comparisons have been appeared in the field of computing. and Cloud Computing, along with the challenges they face. This In this paper we bring out a complete comparison of the could help in better understanding these models and to know three computing models. Rest of the paper is organized as how they differ from its related concepts, all in one go. It also follows. The cluster computing, grid computing and cloud discusses the ongoing projects and different applications that use computing models are briefly explained in Section II. Issues these computing models as a platform for execution. An insight into some of the tools which can be used in the three computing and challenges related to these computing models are listed models to design and develop applications is given.