What Is Bluemix
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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: ...................................................... -
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). -
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. -
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. -
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. -
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. -
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. -
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, -
Annual Report 2018
Annual Report 2018 January 2019 In 2018, the Foundation expanded its definition of Cloud Foundry, shifting away from prioritizing the Application Runtime in order to spread awareness of the many projects that comprise Cloud Foundry technologies. This new messaging aligned with the 2018 vision for interoperability, a theme that underpinned all Foundation content. The interoperability of Cloud Foundry was evident across the ecosystem -- in the technologies integrated into the platform itself to the technologies with which Cloud Foundry integrates to form a multi-platform strategy. This year, the Foundation launched a Certified Systems Integrators program, announced new Certified Providers Cloud.gov and SUSE, accepted interoperable projects Eirini and CF Containerization into the Project Management Council and published four research reports -- while planning and hosting two major Summits and six Cloud Foundry Days. Like the platform itself, the Cloud Foundry Foundation has reached a new level of maturity and continues to evolve. Cloud Foundry Foundation Annual Report 2018 2 2018 Highlights TECHNICAL & COMMUNITY • Interoperability: Two new projects were accepted by the Project Management Committees in order to further integrate Kubernetes with Cloud Foundry technologies. CF Containerization, initially developed and donated to the Foundation by SUSE, is designed to package Cloud Foundry BOSH releases into containers and deploy those containers into Kubernetes. Eirini, proposed by IBM and seeing contributions from IBM, SUSE and SAP, is working towards allowing operators and product vendors to use Kubernetes as the underlying container scheduler for the Cloud Foundry Application Runtime. • 2018 Certified Providers: In 2018, Cloud.gov and SUSE joined the list of certified providers of Cloud Foundry, bringing the total to eight -- the other six being Atos, Huawei, IBM, Pivotal, SAP and Swisscom. -
Guide to the Open Cloud Open Cloud Projects Profiled
Guide to the Open Cloud Open cloud projects profiled A Linux Foundation publication January 2015 www.linuxfoundation.org Introduction The open source cloud computing landscape has changed significantly since we published our first cloud guide in October 2013. This revised version adds new projects See also the rise of Linux container and technology categories that have since technology with the advent of Docker gained importance, and in some cases and its emerging ecosystem. You will be radically change how companies approach hard pressed to find an enterprise Linux building and deploying an open source distribution that isn’t yet working on Docker cloud architecture. integration and touting its new container strategy. Even VMware vSphere, Google In 2013, many cloud projects were still Cloud Platform, and Microsoft Azure are working out their core enterprise features rushing to adapt their cloud platforms to the and furiously building in functionality. And open source Docker project. enterprises were still very much in the early stages of planning and testing their public, This rapid pace of innovation and resulting private or hybrid clouds–and largely at the disruption of existing platforms and vendors orchestration layer. can now serve as a solid case study for the role of open source software and Now, not only have cloud projects collaboration in advancing the cloud. consistently (and sometimes dramatically) grown their user and developer Other components of the cloud infrastructure communities, lines of code and commits have also followed suit, hoping to harness over the past year, their software is the power of collaboration. The Linux increasingly enterprise-ready. -
What .NET Developers Need to Know About Azure Contents Microsoft Azure: a History
What .NET developers need to know about Azure Contents Microsoft Azure: A History ..................................................................................... 3 Shifting Perspectives for Microsoft Azure .................................................. 7 Impact on the Development Life Cycle ......................................................10 Introduction to the Latest Azure Innovations ...........................................14 01 Microsoft Azure: A History 3 Launched in January 2010, Microsoft Azure is now more than seven Azure has been through many rounds of changes that have significantly years old. Like all seven-year-olds, Azure has been through some affected the ways in which .NET and other developers interact with the memorable teething troubles over the years, as well as some incredible platform. growth and change. In this section, we’ll look back at the history of Microsoft Azure, including the ways in which Microsoft’s strategy for the The shift in strategy has been rocky at times. In 2011, technology reviewers platform and for the company as a whole have shifted in recent years. described Microsoft Azure as a confusing platform with a difficult to use Recently, Microsoft has focused on opening up the Azure environment web-based interface and incomprehensible documentation. Since then, to widen its appeal to all kinds of developers, including those working in the teams working on the platform have gradually improved it, resulting in non-Microsoft frameworks and languages. a much more user-friendly platform that offers a well-organized array of services. Microsoft’s History From the 80s to One of the biggest changes for the Microsoft Azure platform was its evolution from a Silverlight application to a web portal written in the new the 2000s HTML5 standard. -
CIF21 Dibbs: Middleware and High Performance Analytics Libraries for Scalable Data Science
NSF14-43054 start October 1, 2014 Datanet: CIF21 DIBBs: Middleware and High Performance Analytics Libraries for Scalable Data Science • Indiana University (Fox, Qiu, Crandall, von Laszewski), • Rutgers (Jha) • Virginia Tech (Marathe) • Kansas (Paden) • Stony Brook (Wang) • Arizona State(Beckstein) • Utah(Cheatham) Overview by Gregor von Laszewski April 6 2016 http://spidal.org/ http://news.indiana.edu/releases/iu/2014/10/big-data-dibbs-grant.shtml http://www.nsf.gov/awardsearch/showAward?AWD_ID=1443054 04/6/2016 1 Some Important Components of SPIDAL Dibbs • NIST Big Data Application Analysis: features of data intensive apps • HPC-ABDS: Cloud-HPC interoperable software with performance of HPC (High Performance Computing) and the rich functionality of the commodity Apache Big Data Stack. – Reservoir of software subsystems – nearly all from outside project and mix of HPC and Big Data communities – Leads to Big Data – Simulation - HPC Convergence • MIDAS: Integrating Middleware – from project • Applications: Biomolecular Simulations, Network and Computational Social Science, Epidemiology, Computer Vision, Spatial Geographical Information Systems, Remote Sensing for Polar Science and Pathology Informatics. • SPIDAL (Scalable Parallel Interoperable Data Analytics Library): Scalable Analytics for – Domain specific data analytics libraries – mainly from project – Add Core Machine learning Libraries – mainly from community – Performance of Java and MIDAS Inter- and Intra-node • Benchmarks – project adds to community; See WBDB 2015 Seventh Workshop