The Cloud‐Based Demand‐Driven Supply Chain
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Certified Ubuntu on Joyent Cloud
Certied Ubuntu on Joyent Cloud Ubuntu is the most popular Linux OS in the cloud. Every Joyent and Canonical share a focus and passion for open day, users choose Ubuntu for its performance, reliability and source technology. Joyent has been supporting key open robust ecosystem of tools and applications. As Joyent source projects such as SmartOS and Node.js for years and customers deploy their mission-critical and essential Canonical is the company driving the evolution and support of applications to the Joyent Cloud the importance of having a Ubuntu. By combining the uniquely powerful Joyent Cloud certied version of Ubuntu that is consistent and fully service with the best of breed Linux as a certied option backed by Canonical in their data center, private cloud or Joyent customers can enjoy the best possible user public cloud is essential. Joyent customers get the experience available in cloud. assurance that the Ubuntu they trust to run their business is highly optimized,fully secure and eligible for support and Accelerate your applications today! upgrade services from Canonical. à www.joyent.com à www.ubuntu.com/cloud/ecosystem Certied Ubuntu Value Enhancements for Joyent Users Ubuntu Cloud images, tuned and tested for the Joyent environment Stock Kernel • All kernel patches, drivers, tools and packages By using Stock Kernel for each release we have gained a faster boot • Timely image updates including critical bug xes and security time, increased overall performance, and a wider application usage updates such as supporting Docker out of the box. • Eligible for support from Canonical through Ubuntu Advantage Cloud-Init Cloud Image Quality Assurance Cloud-Init is the multi CSP system that handles early initialization of a • Joyent specic testing atop the Ubuntu Server testing cloud instance. -
Apache Apex: Next Gen Big Data Analytics
Apache Apex: Next Gen Big Data Analytics Thomas Weise <[email protected]> @thweise PMC Chair Apache Apex, Architect DataTorrent Apache Big Data Europe, Sevilla, Nov 14th 2016 Stream Data Processing Data Delivery Transform / Analytics Real-time visualization, … Declarative SQL API Data Beam Beam SAMOA Operator SAMOA DAG API Sources Library Events Logs Oper1 Oper2 Oper3 Sensor Data Social Databases CDC (roadmap) 2 Industries & Use Cases Financial Services Ad-Tech Telecom Manufacturing Energy IoT Real-time Call detail record customer facing (CDR) & Supply chain Fraud and risk Smart meter Data ingestion dashboards on extended data planning & monitoring analytics and processing key performance record (XDR) optimization indicators analysis Understanding Reduce outages Credit risk Click fraud customer Preventive & improve Predictive assessment detection behavior AND maintenance resource analytics context utilization Packaging and Improve turn around Asset & Billing selling Product quality & time of trade workforce Data governance optimization anonymous defect tracking settlement processes management customer data HORIZONTAL • Large scale ingest and distribution • Enforcing data quality and data governance requirements • Real-time ELTA (Extract Load Transform Analyze) • Real-time data enrichment with reference data • Dimensional computation & aggregation • Real-time machine learning model scoring 3 Apache Apex • In-memory, distributed stream processing • Application logic broken into components (operators) that execute distributed in a cluster • -
Cloud Computing: a Taxonomy of Platform and Infrastructure-Level Offerings David Hilley College of Computing Georgia Institute of Technology
Cloud Computing: A Taxonomy of Platform and Infrastructure-level Offerings David Hilley College of Computing Georgia Institute of Technology April 2009 Cloud Computing: A Taxonomy of Platform and Infrastructure-level Offerings David Hilley 1 Introduction Cloud computing is a buzzword and umbrella term applied to several nascent trends in the turbulent landscape of information technology. Computing in the “cloud” alludes to ubiquitous and inexhaustible on-demand IT resources accessible through the Internet. Practically every new Internet-based service from Gmail [1] to Amazon Web Services [2] to Microsoft Online Services [3] to even Facebook [4] have been labeled “cloud” offerings, either officially or externally. Although cloud computing has garnered significant interest, factors such as unclear terminology, non-existent product “paper launches”, and opportunistic marketing have led to a significant lack of clarity surrounding discussions of cloud computing technology and products. The need for clarity is well-recognized within the industry [5] and by industry observers [6]. Perhaps more importantly, due to the relative infancy of the industry, currently-available product offerings are not standardized. Neither providers nor potential consumers really know what a “good” cloud computing product offering should look like and what classes of products are appropriate. Consequently, products are not easily comparable. The scope of various product offerings differ and overlap in complicated ways – for example, Ama- zon’s EC2 service [7] and Google’s App Engine [8] partially overlap in scope and applicability. EC2 is more flexible but also lower-level, while App Engine subsumes some functionality in Amazon Web Services suite of offerings [2] external to EC2. -
Walmart & Azure
Microsoft Azure: The Ultimate Flexible Enterprise-Level Solution Janet Bailey, PhD Bradley Jensen, PhD University of Arkansas at Little Rock Microsoft Corporation Background Project Assignment Evaluate the Value and Fit of Azure for Walmart Initiator Steven Lamey, Senior Business Manager, Walmart Corporation UALR Student Team 4 Graduates / 2 Undergraduates Time Frame 8 months (4 months research & development) Faculty Mentor Industry Support Janet Bailey, PhD Bradley Jensen, PhD UALR Student Team with Walmart and Microsoft Executives Corporate World’s largest Headquarters corporation Bentonville, AR 1962 $421.849 billion annual sales 2010 Brazil In 15 countries Asia >8,500 stores worldwide > 2.1 million associates worldwide India Walmart employs 1% of America US stores visited by 100 million customers every week In other words, 1/3 of America goes to Walmart every week!! > 1million customer transactions every hour databases estimated > 2.5 petabytes—the equivalent of 167 times the books in America’s Library of Congress So why did Walmart start considering Cloud Computing 2011? Dangerous to not #1 strategic have a cloud strategy technology initiative Gartner Initially, Walmart thought they needed a cloud provider that could/would… Meet Walmart’s massive processing/storage capacity requirements Provide a flexible application development environment Provide information on the cloud architecture Allow for secure access to data outside of the corporate firewall We found they also required… Fast and easy scalability An environment that supports -
Pohorilyi Magistr.Pdf
НАЦІОНАЛЬНИЙ ТЕХНІЧНИЙ УНІВЕРСИТЕТ УКРАЇНИ «КИЇВСЬКИЙ ПОЛІТЕХНІЧНИЙ ІНСТИТУТ імені ІГОРЯ СІКОРСЬКОГО» Факультет інформатики та обчислювальної техніки (повна назва інституту/факультету) Кафедра автоматики та управління в технічних системах (повна назва кафедри) «На правах рукопису» «До захисту допущено» УДК ______________ Завідувач кафедри __________ _____________ (підпис) (ініціали, прізвище) “___”_____________20__ р. Магістерська дисертація зі спеціальності (спеціалізації)126 Інформаційні системи та технології на тему: Система збору та аналізу тексових даних з соціальних мереж________ ____________________________________________________________________ Виконав: студент __6__ курсу, групи ___ІА-з82мп______ (шифр групи) Погорілий Богдан Анатолійович ____________________________ __________ (прізвище, ім’я, по батькові) (підпис) Науковий керівник: завідувач кафедри, д.т.н., професор Ролік О. І. __________ (посада, науковий ступінь, вчене звання, прізвище та ініціали) (підпис) Консультант: _______________________________ __________ (назва розділу) (науковий ступінь, вчене звання, , прізвище, ініціали) (підпис) Рецензент: _______________________________________________ __________ (посада, науковий ступінь, вчене звання, науковий ступінь, прізвище та ініціали) (підпис) Засвідчую, що у цій магістерській дисертації немає запозичень з праць інших авторів без відповідних посилань. Студент _____________ (підпис) Київ – 2019 року 3 Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» Факультет (інститут) -
Joyent Smart Architecture for Cloud Computing RC1
The Joyent Smart Technologies Architecture for Cloud Computing A Joyent White Paper Executive Summary The term cloud computing encompasses many different types of services. Therefore, evaluating business needs carefully before choosing a cloud vendor is imperative. Software-, platform-, and infrastructure-as- service vendors differ not only in the type of products they offer but also in the type of architecture their cloud incorporates. This paper examines the broad architectural differences in cloud computing products, the drawbacks to more generic approaches in cloud delivery, and the Joyent philosophy of constructing cloud computing infrastructures. The paper then describes the Joyent Smart Technologies cloud architecture from server and operating system through data center and software development platform. 1 Contents Introduction!3 Not All Clouds Deliver the Same Service (….nor should they)!3 Software as a Service!3 Platform as a Service!4 Infrastructure as a Service!5 Limitations of Common Cloud Infrastructures!5 Public, Private, and Hybrid Clouds!7 The Joyent Cloud Philosophy!8 Joyent Smart Technologies Architecture Overview!9 SmartMachine!10 SmartDataCenter!13 SmartPlatform!15 Joyent Cloud Products at Work!17 Joyent Application Hosting!17 Joyent PaaS!17 Joyent IaaS!17 Conclusion!18 References!19 2 Introduction In the past three years, the term cloud computing has become increasingly elastic. Developers, industry analysts, and customers have all stretched and morphed the definition of the term to encompass a broad range of technologies and products. While an expanding market offers businesses more choice, it also complicates the rational analysis of the underlying technologies. For this reason, companies evaluating potential cloud computing infrastructures should take a pragmatic, business-minded approach in evaluating competing cloud computing infrastructures. -
Cloud Computing Parallel Session Cloud Computing
Cloud Computing Parallel Session Jean-Pierre Laisné Open Source Strategy Bull OW2 Open Source Cloudware Initiative Cloud computing -Which context? -Which road map? -Is it so cloudy? -Openness vs. freedom? -Opportunity for Europe? Cloud in formation Source: http://fr.wikipedia.org/wiki/Fichier:Clouds_edited.jpg ©Bull, 2 ITEA2 - Artemis: Cloud Computing 2010 1 Context 1: Software commoditization Common Specifications Not process specific •Marginal product •Economies of scope differentiation Offshore •Input in many different •Recognized quality end-products or usage standards •Added value is created •Substituable goods downstream Open source •Minimize addition to end-user cost Mature products Volume trading •Marginal innovation Cloud •Economies of scale •Well known production computing •Industry-wide price process levelling •Multiple alternative •Additional margins providers through additional volume Commoditized IT & Internet-based IT usage ©Bull, 3 ITEA2 - Artemis: Cloud Computing 2010 Context 2: The Internet is evolving ©Bull, 4 ITEA2 - Artemis: Cloud Computing 2010 2 New trends, new usages, new business -Apps vs. web pages - Specialized apps vs. HTML5 - Segmentation vs. Uniformity -User “friendly” - Pay for convenience -New devices - Phones, TV, appliances, etc. - Global economic benefits of the Internet - 2010: $1.5 Trillion - 2020: $3.8 Trillion Information Technology and Innovation Foundation (ITIF) Long live the Internet ©Bull, 5 ITEA2 - Artemis: Cloud Computing 2010 Context 3: Cloud on peak of inflated expectations According to -
1 an Explanatory Case Study on Cloud Computing Applications In
An Explanatory Case Study on Cloud Computing Applications in the Built Environment Heap-Yih Chong1, 2*, John Son Wong1 and Xiangyu Wang2, 3 1Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Malaysia. 2Australasian Joint Research Centre for Building Information Modelling (BIM), School of Built Environment, Curtin University, Australia. 3 Department of Housing and Interior Design, Kyung Hee University, Seoul, Korea. Abstract Fragmentation of practices is one of the key issues in the built environment. However, with advances in Information and Communication Technology (ICT), particularly cloud computing, the fragmentation of working practices can be potentially overcome. The technology could enhance communication and information flow in various stages along a project life cycle. Due to the increasing demands and the newly developed cloud computing applications, it is critical to review and identify the appropriate cloud computing applications in the built environment. A total of forty two cloud computing applications consisting of general cloud applications, Building Information Modelling (BIM), and project management cloud applications were selected and critically reviewed. A decision-making model was also developed to assist parties in selecting a suitable application. The explanatory case study has discovered numerous possible cloud computing applications in various disciplines, for example, Google Apps, Autodesk BIM 360, and Viewpoint are the applications with the most features. The findings contribute to creating a certain awareness and insight to reduce the fragmented working practices in the built environment. * Corresponding author. E-mail address: heapyih.chong@curtin .edu.au or [email protected] (H.Y. Chong). 1 Keywords: Cloud computing; BIM; project management; critical review; information management 1. -
Cloud CRM's Evolution and Impact on QA
• Cognizant 20-20 Insights Cloud CRM’s Evolution and Impact on QA As cloud-based customer relationship management systems such as Salesforce.com go mainstream, quality assurance and testing teams need to reinvent their skills and processes to ensure timely and effective application deployment and return on investment. Executive Summary The Cloud: A Brief History Cloud computing is not a completely new technol- The cloud revolution1 started with the software as a ogy; rather, it represents a change in the software service (SaaS) model. In this approach, the vendor ecology for solution creation, distribution and provides end users a full software suite that is consumption. Cloud architecture has already had hosted on the vendor’s premises. These end users disruptive effects on the techno-business land- typically do not need any additional hardware or scape, particularly in pushing established vendors infrastructure, except network connectivity and aside as new players emerge. The cloud’s most an Internet browser to run the applications. Web- critical change is the amount of power and flex- based e-mail services such as Hotmail are among ibility provided to application designers, content the earliest examples of SaaS. However, the full creators and end users. The traditional roles of potential of the model was realized only after developers, testers and end users in the software multi-tenant architectures came into existence. development lifecycle (SDLC) model have become interchangeable in some respects; all roles must In the multi-tenant model, each client (usually, an adapt to survive, if not thrive, in this new age. enterprise) shares computing resources provid- ed by a host service provider, but has separate This white paper discusses enhanced testing tech- and distinct data and code bases. -
Apache Calcite: a Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources Edmon Begoli Jesús Camacho-Rodríguez Julian Hyde Oak Ridge National Laboratory Hortonworks Inc. Hortonworks Inc. (ORNL) Santa Clara, California, USA Santa Clara, California, USA Oak Ridge, Tennessee, USA [email protected] [email protected] [email protected] Michael J. Mior Daniel Lemire David R. Cheriton School of University of Quebec (TELUQ) Computer Science Montreal, Quebec, Canada University of Waterloo [email protected] Waterloo, Ontario, Canada [email protected] ABSTRACT argued that specialized engines can offer more cost-effective per- Apache Calcite is a foundational software framework that provides formance and that they would bring the end of the “one size fits query processing, optimization, and query language support to all” paradigm. Their vision seems today more relevant than ever. many popular open-source data processing systems such as Apache Indeed, many specialized open-source data systems have since be- Hive, Apache Storm, Apache Flink, Druid, and MapD. Calcite’s ar- come popular such as Storm [50] and Flink [16] (stream processing), chitecture consists of a modular and extensible query optimizer Elasticsearch [15] (text search), Apache Spark [47], Druid [14], etc. with hundreds of built-in optimization rules, a query processor As organizations have invested in data processing systems tai- capable of processing a variety of query languages, an adapter ar- lored towards their specific needs, two overarching problems have chitecture designed for extensibility, and support for heterogeneous arisen: data models and stores (relational, semi-structured, streaming, and • The developers of such specialized systems have encoun- geospatial). This flexible, embeddable, and extensible architecture tered related problems, such as query optimization [4, 25] is what makes Calcite an attractive choice for adoption in big- or the need to support query languages such as SQL and data frameworks. -
Cloud Computing Oct 7 2008
CS 683 Emerging Technologies Fall Semester, 2008 Doc 10 Cloud Computing Oct 7 2008 Copyright ©, All rights reserved. 2008 SDSU & Roger Whitney, 5500 Campanile Drive, San Diego, CA 92182-7700 USA. OpenContent (http:// www.opencontent.org/openpub/) license defines the copyright on this document. References Amazon Simple Storage Service Getting Started Guide, http://docs.amazonwebservices.com/ AmazonS3/2006-03-01/gsg/ Amazon Simple Storage Service, http://aws.amazon.com/s3/ Twenty-One Experts Define Cloud Computing, http://cloudcomputing.sys-con.com/node/612375/ print Cloud Computing Community Wiki, http://wiki.cloudcommunity.org/wiki/Main_Page Cloud computing, http://en.wikipedia.org/wiki/Cloud_computing Reading Cloud computing, http://en.wikipedia.org/wiki/Cloud_computing Amazon Simple Storage Service Getting Started Guide, http://docs.amazonwebservices.com/ AmazonS3/2006-03-01/gsg/ 2 Cloud Computing 3 Examples Google Apps iTunes Store Bittorent Skype Web mail Facebook Google Maps 4 In the Beginning "computation may someday be organized as a public utility" John McCarthy 1960 5 Wikipedia Definition IT-related capabilities are provided “as a service” Services accesses anywhere via network access IEEE It is a paradigm in which information is permanently stored in servers on the Internet and cached temporarily on clients that include desktops, entertainment centers, table computers, notebooks, wall computers, handhelds, etc. 6 Key Characteristics Capital expenditure minimized for users Device and location independence Performance Reliability -
It's That Time
December 2014 / January 2015 | Vol. 8 No. 1 VirtualizationReview.com 2015 READERS CHOICE AWARDS WINNER IT’S THAT TIME OFYEAR! Eggnog, presents and the products you like best. PLUS > VIRTUAL PREDICTIONS > DELL’S VDI STRATEGY > UNTANGLING VMWARE DRS VISIT VIRTUALIZATIONREVIEW.COM contents The objective is helping organizations accomplish their 6 goals; not to push any specifi c type of technology. By Dan Kusnetzky 2015Readers Choice Awards “Chromebook desktop ÌÌÌÌ Winner ÌÌÌÌ access looks especially promising, especially in the education market.” Garret Grajek, dinCloud 18 6 December 2014 / January 2015 | VIRTUALIZATION REVIEW | VOL. 7, NO. 2 FEATURES 11 Best Cloud Storage Product 15 Best Network 4 The 2015 Reader’s Choice 12 Best Cloud Security Product Virtualization Product Awards and Buyer’s Guide 12 Best Cloud Software Product 16 Best Virtualization Security Product You, the readers, have spoken. 13 Best Business Continuity Product Here are the virtualization and Best Converged 14 Best Virtualization 17 cloud computing products that Automation Product Infrastructure Product rock your world. Best Virtualization Training 15 Best Storage 17 6 Best Application Virtualization Product Virtualization Product 6 Best Server Virtualization Product Best Desktop Virtualization/ 7 18 2015 Virtualization Predictions COLUMNS Virtual Desktop Infrastructure Product What can you expect to happen 2 Editor’s Note: KEITH WARD in the virtualization and cloud 3 Expectations for 2015 8 Best Mobile Virtualization/ BYOD Product industries in the coming year?