Utrecht University Dynamic Automated Selection and Deployment Of
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Update on Cloud Activities at LBNL
Update on cloud activities at LBNL *Val Hendrix: [email protected], Doug Benjamin2: [email protected], Roberto Vitillo1: [email protected] 1Lawrence Berkeley National Lab 2Duke University 7/12/12 ADC Cloud Computing RnD Overview Overview ● Goal ● Progress ● Plans 7/12/12 ADC Cloud Computing RnD 2 Goal Goal ● Use Case: A site should be able to easily deploy new analysis cluster (batch, PROOF) in commercial or private cloud resources. https://twiki.cern. ch/twiki/bin/view/Atlas/CloudcomputingRnD#Use_Cases ● Solution: Elastic Data Analysis Cluster (E-DAC): a fully configured data analysis cluster that is elastic and deployable on multiple clouds. ● We have chosen Scalr Open Source as the cluster management tool we will use to deliver E-DAC 7/12/12 ADC Cloud Computing RnD 3 Progress Progress ● Scalr 3.5 release ● Scalr + Openstack ● ScalrEDAC 7/12/12 ADC Cloud Computing RnD 4 Progress Scalr 3.5 Released ● Scalr 3.5 Released June 13th ○ RAID over EBS – increased performance for EBS on EC2 ○ The two scalarizr repositories- time and control your updates ○ Scripts & Roles attachment – create your custom images ○ Role versioning – improved control ● This fixed a series of issues that were impeding the development of Condor Cluster roles ○ Custom metric scaling ○ Scalarizr agent bug: This blocked successfully running the Condor Cluster configuration scripts ● Openstack supported was promised for this release but unfortunately it is still not available 7/12/12 ADC Cloud Computing RnD 5 Progress Scalr + Openstack ● Scalr does not officially support Openstack yet (although they are trying) “We haven't gotten it to work (Essex) on our own servers, TryStack lacks Swift and Volumes, and every cluster that the community has lent us has been disappointingly buggy or incomplete.” Sebastian Stadil on scalr-discuss google group ● Scalr has a Eucalyptus interface, will that work for Openstack? ○ There’s more to adding support for a cloud than a simple API. -
Data Migration for Large Scientific Datasets in Clouds
Azerbaijan Journal of High Performance Computing, Vol 1, Issue 1, 2018, pp. 66-86 https://doi.org/10.32010/26166127.2018.1.1.66.86 Data Migration for Large Scientific Datasets in Clouds Akos Hajnal1, Eniko Nagy1, Peter Kacsuk1 and Istvan Marton1 1Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), Budapest, Hungary, [email protected], [email protected], *Correspondence: [email protected] Peter Kacsuk, nstitute for Computer Science and Control, Hungarian Academy of Sciences Abstract (MTA SZTAKI), Budapest, Hungary, peter.kacsuk@ Transferring large data files between various storages including sztaki.mta.hu cloud storages is an important task both for academic and commercial users. This should be done in an efficient and secure way. The paper describes Data Avenue that fulfills all these conditions. Data Avenue can efficiently transfer large files even in the range of TerraBytes among storages having very different access protocols (Amazon S3, OpenStack Swift, SFTP, SRM, iRODS, etc.). It can be used in personal, organizational and public deployment with all the security mechanisms required for these usage configurations. Data Avenue can be used by a GUI as well as by a REST API. The papers describes in detail all these features and usage modes of Data Avenue and also provides performance measurement results proving the efficiency of the tool that can be accessed and used via several public web pages. Keywords: data management, data transfer, data migration, cloud storage 1. Introduction In the last 20 years collecting and processing large scientific data sets have been gaining ever increasing importance. -
Cloud Computing for Logistics 12
The Supply Chain Cloud YOUR GUIDE TO CONTRACTS STANDARDS SOLUTIONS www.thesupplychaincloud.com 1 CONTENTS EUROPEAN COMMISSION PAGE Unleashing the Potential of Cloud Computing 4 TRADE TECH Cloud Solutions for Trade Security Implications for the Overall Supply Chain 7 CLOUD SECURITY ALLIANCE Cloud Computing: It’s a Matter of Transparency and Education 10 FRAUNHOFER INSTITUTE The Logistics Mall – Cloud Computing for Logistics 12 AXIT AG connecting logistics Supply Chain Management at the Push of a Button 17 INTEGRATION POINT Global Trade Management and the Cloud – Does It Work? 18 THE OPEN GROUP Cloud Computing Open Standards 20 WORKBOOKS CRM As A Service for Supply Chain Management 24 GREENQLOUD Sustainability in the Data Supply Chain 26 CLOUD INDUSTRY FORUM Why the need for recognised Cloud certification? 31 COVISINT Moving to the Cloud 32 CLOUD STANDARDS CUSTOMER COUNCIL Applications in the Cloud – Adopt, Migrate, or Build? 38 FABASOFT “United Clouds of Europe” for the Supply Chain Industry 42 EUROCLOUD How Cloud Computing will Revolutionise the European Economy 45 BP DELIVERY The cloud value chain needs services brokers 48 2 3 EUROPEAN COMMISSION Unleashing the Potential of Cloud Computing Cloud computing can bring significant advantages to citizens, businesses, public administrations and other organisations in Europe. It allows cost savings, efficiency boosts, user-friendliness and accelerated innovation. However, today cloud computing benefits cannot be fully exploited, given a number of uncertainties and challenges that the use of cloud computing services brings. In September 2012, the European Commission announced its Cutting Through The Jungle of Standards Cloud Computing Strategy, a new strategy to boost European The cloud market sees a number of standards, covering different business and government productivity via cloud computing. -
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 -
Sustainability As a Growth Strategy Eiríkur S
Green is the new Green: Sustainability as a growth strategy Eiríkur S. Hrafnsson Co-Founder Chief Global Strategist @greenqloud GreenQloud.com Cloud Computing Rocket fuel for innovation New and previously impossible services based on public clouds Mobile computing needs clouds! Internet of things has hardly started “Within seven years there will be 50 billion intelligent devices connected to the internet." - Al Gore Hyper growth challenge 40 Global Data is doubling Global storage (Zettabytes) * 30 every 2 years. 20 We have only processed 1% 10 2012 - 2+ ZB 2020 - 40 ZB 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2022 - 80 ZB Most data centers are running on fossil fuels. Cloud providers use less than 25% renewable energy of global CO2 emissions in 2007 - We are at ~3% now! 2% - Gartner 2020 estimation of CO2 emissions by IT - McKinsey & Company 4% “Your sustainability strategy IS your growth strategy” -Hannah Jones CSO Circular Economy - Growth from sustainability Circular Economy - Growth from sustainability IT Growth, Foresting, Food Production... XYZ industry growth cannot be sustained without sustainability...duh! Sustainability focused brands Hyper growth challenge 40 Global Data is doubling Global storage (Zettabytes) * 30 every 2 years. 20 We have only processed 1% 10 2012 - 2+ ZB 2020 - 40 ZB 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2022 - 80 ZB Sustainable Public Cloud Computing Easy to use on Iceland & Renewable Energy Seattle (Q1) StorageQloud ComputeQloud (S3 & SQAPI) (EC2) Truly Green and Cheaper Turnkey -
Brokering Techniques for Managing Three-Tier Applications in Distributed Cloud Computing Environments
Brokering Techniques for Managing Three-Tier Applications in Distributed Cloud Computing Environments Nikolay Grozev Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy October 2015 Department of Computing and Information Systems THE UNIVERSITY OF MELBOURNE,AUSTRALIA Produced on archival quality paper. Copyright c 2015 Nikolay Grozev All rights reserved. No part of the publication may be reproduced in any form by print, photoprint, microfilm or any other means without written permission from the author except as permitted by law. Brokering Techniques for Managing Three-Tier Applications in Distributed Cloud Computing Environments Nikolay Grozev Supervisor: Prof. Rajkumar Buyya Abstract Cloud computing is a model of acquiring and using preconfigured IT resources on de- mand. Cloud providers build and maintain large data centres and lease their resources to customers in a pay-as-you-go manner. This enables organisations to focus on their core lines of business instead of building and managing in-house infrastructure. Such in- house IT facilities can often be either under or over utilised given dynamic and unpre- dictable workloads. The cloud model resolves this problem by allowing organisations to flexibly resize/scale their rented infrastructure in response to the demand. The conflu- ence of these incentives has caused the recent widespread adoption of cloud services. However, cloud adoption has introduced challenges in terms of service unavailability, regulatory compliance, low network latency to end users, and vendor lock-in. These fac- tors are of special importance for large scale interactive web-facing applications, which observe unpredictable workload spikes and need to serve users worldwide with low la- tency. -
View Whitepaper
INFRAREPORT Top M&A Trends in Infrastructure Software EXECUTIVE SUMMARY 4 1 EVOLUTION OF CLOUD INFRASTRUCTURE 7 1.1 Size of the Prize 7 1.2 The Evolution of the Infrastructure (Public) Cloud Market and Technology 7 1.2.1 Original 2006 Public Cloud - Hardware as a Service 8 1.2.2 2016 - 2010 - Platform as a Service 9 1.2.3 2016 - 2019 - Containers as a Service 10 1.2.4 Container Orchestration 11 1.2.5 Standardization of Container Orchestration 11 1.2.6 Hybrid Cloud & Multi-Cloud 12 1.2.7 Edge Computing and 5G 12 1.2.8 APIs, Cloud Components and AI 13 1.2.9 Service Mesh 14 1.2.10 Serverless 15 1.2.11 Zero Code 15 1.2.12 Cloud as a Service 16 2 STATE OF THE MARKET 18 2.1 Investment Trend Summary -Summary of Funding Activity in Cloud Infrastructure 18 3 MARKET FOCUS – TRENDS & COMPANIES 20 3.1 Cloud Providers Provide Enhanced Security, Including AI/ML and Zero Trust Security 20 3.2 Cloud Management and Cost Containment Becomes a Challenge for Customers 21 3.3 The Container Market is Just Starting to Heat Up 23 3.4 Kubernetes 24 3.5 APIs Have Become the Dominant Information Sharing Paradigm 27 3.6 DevOps is the Answer to Increasing Competition From Emerging Digital Disruptors. 30 3.7 Serverless 32 3.8 Zero Code 38 3.9 Hybrid, Multi and Edge Clouds 43 4 LARGE PUBLIC/PRIVATE ACQUIRERS 57 4.1 Amazon Web Services | Private Company Profile 57 4.2 Cloudera (NYS: CLDR) | Public Company Profile 59 4.3 Hortonworks | Private Company Profile 61 Infrastructure Software Report l Woodside Capital Partners l Confidential l October 2020 Page | 2 INFRAREPORT -
Reducing Email Service's Carbon Emission with Minimum Cost THESIS Presented in Partial Fulfillment of the Requireme
GreenMail: Reducing Email Service’s Carbon Emission with Minimum Cost THESIS Presented in Partial Fulfillment of the Requirements for the Degree Master of Science in the Graduate School of The Ohio State University By Chen Li, B.S. Graduate Program in Computer Science and Engineering The Ohio State University 2013 Master's Examination Committee: Christopher Charles Stewart, Advisor Xiaorui Wang Copyright by Chen Li 2013 Abstract Internet services contribute a large fraction of worldwide carbon emission nowadays, in a context of increasing number of companies tending to provide and more and more developers use Internet services. Noticeably, a trend is those service providers are trying to reduce their carbon emissions by utilizing on-site or off-site renewable energy in their datacenters in order to attract more customers. With such efforts have been paid, there are still some users who are aggressively calling for even cleaner Internet services. For example, over 500,000 Facebook users petitioned the social networking site to use renewable energy to power its datacenter [1]. However, it seems impossible for such demand to be satisfied merely from the inside of those production datacenters, considering the transition cost and stability. Outside the existing Internet services, on the other hand, may easily set up a proxy service to attract those renewable-energy-sensitive users, by 1) using carbon neutral or even over-offsetting cloud instances to bridge the end user and traditional Internet services; and 2) estimating and offsetting the carbon emissions from the traditional Internet services. In our paper, we proposed GreenMail, which is a general IMAP proxy caching system that connects email users and traditional email services. -
Abstraction Driven Application and Data Portability in Cloud Computing
Wright State University CORE Scholar Browse all Theses and Dissertations Theses and Dissertations 2012 Abstraction Driven Application and Data Portability in Cloud Computing Ajith Harshana Ranabahu Wright State University Follow this and additional works at: https://corescholar.libraries.wright.edu/etd_all Part of the Computer Engineering Commons, and the Computer Sciences Commons Repository Citation Ranabahu, Ajith Harshana, "Abstraction Driven Application and Data Portability in Cloud Computing" (2012). Browse all Theses and Dissertations. 779. https://corescholar.libraries.wright.edu/etd_all/779 This Dissertation is brought to you for free and open access by the Theses and Dissertations at CORE Scholar. It has been accepted for inclusion in Browse all Theses and Dissertations by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. Abstraction Driven Application and Data Portability in Cloud Computing A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy By AJITH H. RANABAHU B.Sc., University of Moratuwa, 2003 2012 Wright State University WRIGHT STATE UNIVERSITY SCHOOL OF GRADUATE STUDIES December 31, 2012 I HEREBY RECOMMEND THAT THE DISSERTATION PREPARED UNDER MY SUPER- VISION BY Ajith H. Ranabahu ENTITLED Abstraction Driven Application and Data Portability in Cloud Computing BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Doctor of Philosophy. Amit P. Sheth, Ph.D. Dissertation Director Arthur A. Goshtasby, Ph.D. Director, Computer Science Ph.D. Program Andrew T. Hsu, Ph.D. Dean, School of Graduate Studies Committee on Final Examination Amit P. Sheth , Ph.D. Krishnaprasad Thirunarayan , Ph.D. Keke Chen , Ph.D. -
Tech Trailblazers Awards Finalists Voting Opens
FOR IMMEDIATE RELEASE www.techtrailblazers.com Tech Trailblazers Awards Finalists Voting Opens Which startups have the most promising technologies? Vote for your favorites now London, 18th December 2013 – The Tech Trailblazers Awards, first annual awards program for enterprise information technology startups, today announced the opening of voting for shortlisted finalists across the nine categories of Big Data, Cloud, Emerging Markets, Infosecurity, Mobile, Networking, Storage, Sustainable IT and Virtualization. The voting process is managed using technology by web-based ideation and innovation management pioneer Wazoku. The winners of the Tech Trailblazers Awards will be determined by the voting public and the judging panel. Which startups have the most promising technologies? Discover the finalists and vote for your favorites now on the Tech Trailblazers website by clicking on the Vote Now tab. Voting closes at 23:59pm on Thursday 23rd January 2014. This second year of the awards has received an even higher level of high quality entrants, with an 18% increase in entrants, making the work of the judges even more challenging. The finalists showcase the finest of enterprise tech innovation that the world has to offer with representative startups from Argentina, Belgium, France, Iceland, India, Ireland, Kenya, Nigeria, Norway, Spain, the UK and the US. Here is an overview of all the amazing enterprise tech startups you can vote for over the coming months. Finalists in the Tech Trailblazers Awards Big Data -Cedexis (@Cedexis), www.cedexis.com -
Cloud Management Platform for Accelerated Application Development
ceocfointerviews.com All rights reserved! Issue: September 1, 2014 The Most Powerful Name in Corporate News Cloud Management Platform for Accelerated Application Development About Scalr The Scalr cloud management platform enables today's enterprise to manage and control accelerated application development across public, private and multi- cloud environments. Both as an enterprise grade, on-premise or a Saas solution, Scalr elegantly automates the deployment, monitoring and governance of cloud computing environments. Founded in 2007, leading global organizations have selected the Scalr platform, including Samsung, Nokia, Expedia and the Walt Disney Company. For more information see http://www.scalr.com. Interview with: Sebastian Stadil - CEO Conducted by Lynn Fosse, Senior Editor, CEOCFO Magazine CEOCFO: Mr. Stadil, what is the concept at Scalr? Mr. Stadil: At Scalr we believe that we are going to live in a multi-cloud world where enterprises might want to have some private cloud and public cloud departments. We are building software that allows enterprises to manage hybrid clouds and private clouds. Therefore, we are helping them have a single pane of glass to manage both their public and private cloud deployments. CEOCFO: What makes you feel this is the way of the future? Mr. Stadil: Enterprise cloud needs aren't one-size-fits-all. If you ask Amazon and Google, they both believe that ten years from now everything is going to be on public cloud. However, if you ask an enterprise today, they often have constraints that prevent them from moving wholesale towards cloud. An example of such a constraint would be that they have existing infrastructure inside of a data center and their workloads each need to be placed collocated next to them for low latency high throughput. -
Analyzing Utilization Rates in Data Centers for Optimizing Energy Management
Analyzing Utilization Rates in Data Centers for Optimizing Energy Management Michael Pawlish Aparna S. Varde Stefan A. Robila Montclair State University Montclair State University Montclair State University Dept. of Environmental Mgmt. Dept. of Computer Science Dept. of Computer Science Montclair, NJ, USA Montclair, NJ, USA Montclair, NJ 07043 USA [email protected] [email protected] [email protected] Abstract—In this paper, we explore academic data Perhaps a greater factor in the slowing down of the center utilization rates from an energy expansion of data centers was attributed to innovation management perspective with the broader goal of in the form of virtualization and cloud technology providing decision support for green computing. development [5,6]. Virtualization is the ability to The utilization rate is defined as the overall extent harness the power of many servers for numerous to which data center servers are being used and is applications whereas prior to virtualization one or a usually recorded as a percentage. Recent literature few applications were assigned to each server. This states that utilization rates at many data centers frame of mind was a major factor that leads to the are quite low resulting in poor usage of resources traditionally low utilization rates that wasted such as energy and labor. Based on our study we resources by having servers running without attribute these lower utilization rates to not fully processing applications to the full potential of the taking advantage of virtualization and cloud equipment. A second innovation that greatly increased technology. This paper describes our research utilization rates was the development and maturing of including energy data analysis with our proposed cloud technology.