Cloud Computing with Nimbus February 2009
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Google Cloud Issue Summary Multiple Products - 2020-08-19 All Dates/Times Relative to US/Pacific
Google Cloud Issue Summary Multiple Products - 2020-08-19 All dates/times relative to US/Pacific Starting on August 19, 2020, from 20:55 to 03:30, multiple G Suite and Google Cloud Platform products experienced errors, unavailability, and delivery delays. Most of these issues involved creating, uploading, copying, or delivering content. The total incident duration was 6 hours and 35 minutes, though the impact period differed between products, and impact was mitigated earlier for most users and services. We understand that this issue has impacted our valued customers and users, and we apologize to those who were affected. DETAILED DESCRIPTION OF IMPACT Starting on August 19, 2020, from 20:55 to 03:30, Google Cloud services exhibited the following issues: ● Gmail: The Gmail service was unavailable for some users, and email delivery was delayed. About 0.73% of Gmail users (both consumer and G Suite) active within the preceding seven days experienced 3 or more availability errors during the outage period. G Suite customers accounted for 27% of affected Gmail users. Additionally, some users experienced errors when adding attachments to messages. Impact on Gmail was mitigated by 03:30, and all messages delayed by this incident have been delivered. ● Drive: Some Google Drive users experienced errors and elevated latency. Approximately 1.5% of Drive users (both consumer and G Suite) active within the preceding 24 hours experienced 3 or more errors during the outage period. ● Docs and Editors: Some Google Docs users experienced issues with image creation actions (for example, uploading an image, copying a document with an image, or using a template with images). -
Hybrid Cloud Foundation
Hybrid Cloud Foundation Explore, Plan, Implement Hybrid Cloud Foundation is your on-ramp to Azure. This This offering includes modules focusing on Core Azure, Microsoft Services Solution Offering will help you learn Azure IaaS, Azure Operations, and Azure Workloads. The about Azure so that you can make informed design Operations module is a discovery and planning workshop. decisions leading to an Enterprise-grade implementation The Core, IaaS, and Workload modules include a technical to meet your business needs and strategies. design workstream, and a hands-on exploration and implementation workstream. Outcomes Reduce cloud Prepare for new Accelerate cloud adoption risk operating models adoption Benefit from cloud adoption Cloud completely changes how IT is Take your hybrid solution to market expertise shaped over thousands delivered and managed. Gain quickly with a structured approach of engagements with Fortune 500 insights and recommendations for and detailed guidance based on and other Enterprise organizations running and operating in the cloud. our past experience. around the world. Capabilities Hybrid Cloud Foundation Modules Related offerings Core Azure Design (3 weeks) Azure Workloads for SAP (6+ weeks): Focus on design decisions core to Azure: subscription Azure Workloads for SQL (6+ weeks): model, naming conventions, identity, security, and external Design and implement a specific VM-based workload. network connectivity. Azure Migration Pilot (3 weeks): Migrate your first VM- based workloads to Azure. Azure IaaS Design (6 weeks) Extend your core Azure design. Focus on the design Azure Operations Jumpstart (5 weeks): Deep planning to decisions to enable Azure IaaS capabilities: compute, help your people, process, technology shift for operating storage, networking, and extending on-premises in the cloud. -
Based Services Using XRI-Based Apis for Enabling New E-Business
International Journal of E-Business Development May. 2013, Vol. 3 Iss. 2, PP. 64-74 An Approach for the Composition of Generic Cloud- Based Services Using XRI-Based APIs for Enabling New E-Business Antonio Celesti1, Francesco Tusa2, Massimo Villari3, Antonio Puliafito4 DICIEAMA, Università degli Studi di Messina Contrada Di Dio, S. Agata 98166, Messina, Italia [email protected]; [email protected]; [email protected]; [email protected] Abstract-Nowadays, cloud computing offers more and more business opportunities, and thanks to the concept of virtualization, different types of cost-effective Cloud-based services have been rising. Virtualization of computing, storage, and networking resources, and their interconnection is at the heart of cloud computing, hence enabling new E-Business scenarios. In such a context, APIs for enabling Cloud-based services are strongly required, nevertheless, methods, mechanisms and tools for exploiting virtualized resources and their utilization for developing anything as a service (*aaS) are still ad-hoc and/or proprietary in nature. In this paper, we discuss how to use an adaptive standard protocol, i.e., XRI, for enabling cloud service providers to arrange their own Cloud- based services, building them on top of the IaaS provided by other service providers. Keywords- Cloud Computing; Cloud Management; Federation; Service Composition; E-Business I. INTRODUCTION Today, cloud computing represents a tempting business opportunity for ICT operators of increasing their revenues [1,2]. The cloud ecosystem begins to be clearer and the role played by cloud service providers appears more defined than the past. Moreover, the number of new public, private, and hybrid clouds rising all over the world is continually growing [3]. -
Opennebula 5.4 Deployment Guide Release 5.4.15
OpenNebula 5.4 Deployment guide Release 5.4.15 OpenNebula Systems Jun 19, 2018 This document is being provided by OpenNebula Systems under the Creative Commons Attribution-NonCommercial- Share Alike License. THE DOCUMENT IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IM- PLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE DOCUMENT. i CONTENTS 1 Cloud Design 1 1.1 Overview.................................................1 1.2 Open Cloud Architecture.........................................2 1.3 VMware Cloud Architecture.......................................7 1.4 OpenNebula Provisioning Model.................................... 13 2 OpenNebula Installation 19 2.1 Overview................................................. 19 2.2 Front-end Installation.......................................... 19 2.3 MySQL Setup.............................................. 25 3 Node Installation 27 3.1 Overview................................................. 27 3.2 KVM Node Installation......................................... 28 3.3 vCenter Node Installation........................................ 34 3.4 Verify your Installation.......................................... 42 4 Authentication Setup 50 4.1 Overview................................................. 50 4.2 -
Comparative Study of Eucalyptus, Open Stack and Nimbus
International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-4 Issue-6, January 2015 Comparative Study of Eucalyptus, Open Stack and Nimbus Lakshmi D Kurup, Chandni Chandawalla, Zalak Parekh, Kunjita Sampat Abstract- Cloud computing is a Service Oriented Architecture ii. PaaS (Platform as a Service): A platform as a which reduces information technology overhead for the end-user service (PaaS) offering, usually depicted in all- and provides great flexibility, reduced total cost of ownership, on- cloud diagrams between the SaaS layer above it demand services and many other benefits. Hence it delivers all IT and the IaaS layer below, is a broad collection of related capabilities as services rather than product .Services on application infrastructure (middleware) services cloud are divided into three broad categories: Software as a Service, Infrastructure as a Service & Platform as a Service. (including application platform, integration, Same as services cloud is also classified as Private Cloud, Public business process management and database Cloud & Hybrid Cloud. Private cloud is gaining popularity, not services). However, the hype surrounding the PaaS only among large organizations but also small and medium concept is focused mainly on application PaaS enterprises. To deploy public or private cloud there are many (aPaaS) as the representative of the whole open source software platforms available such as Eucalyptus, category. Nimbus, OpenStack, Open Nebula, Cloud Stack and Amazon iii. SaaS (Software as a Service): Gartner defines Web Services. In this paper, we provide a comparative study of software as a service (SaaS) as software that is three open source cloud management platforms: Eucalyptus, owned, delivered and managed remotely by one or OpenStack and Nimbus. -
A Survey of Collaborative Tools in Software Development
1 INTRODUCTION A Survey of Collaborative Tools in Software Development Anita Sarma Institute for Software Research Donald Bren School of Information and Computer Sciences University of California, Irvine [email protected] ISR Technical Report # UCI-ISR-05-3 March 22, 2005 1 Introduction Collaboration is at the heart of software development. Virtually all software devel- opment requires collaboration among developers within and outside their project teams, to achieve a common objective. It has in fact been shown that about 70% of a software engineer’s time is spent on collaborative activities [219]. Indeed, col- laboration in software development has been studied by researchers in the fields of Software Engineering and Computer Supported Cooperative Work (CSCW) since the 1980s and has produced a wide range of collaborative tools. Enabling software developers to collaborate effectively and effortlessly is a difficult task. The collaboration needs of the team depend to a large extent on environmental factors such as, the organizational structure of the team, the domain for which the software is produced, the product structure, and individual team members. Accordingly, research in collaborative development has produced a host of tools, each typically focussing on a different aspect of collaboration. Most teams have their favorite repertoire of tools that has been built from historical use. These tools may not always be the best suited for the team, but the team still uses them nevertheless as the inertia and cost of trying out new tools surpasses the benefits. A number of classification frameworks exist that can be used to classify collaborative tools. In addition to placing the various tools in context, developers can use these frameworks to select the right mix of tools fit for their needs. -
Chameleon: Building an Experimental Instrument for Computer Science
www. chameleoncloud.org CHAMELEON: BUILDING AN EXPERIMENTAL INSTRUMENT FOR COMPUTER SCIENCE AS APPLICATION OF CLOUD COMPUTING Kate Keahey Argonne National Laboratory Computation Institute, University of Chicago [email protected] HEPiX October 20th, 2016 Berkeley, CA OCTOBER 20, 2016 1 CHAMELEON IN A NUTSHELL Chameleon is a facility for Computer Science experimentaon Project started 10/14, public availability since 07/15 1,000+ users, 200+ research projects It is reconfigurable: “as close as possible to having it in your lab” Up-to-date and fine-grain informaon about resources Allows you to reserve isolated nodes, reconfigure nodes at bare metal level, reboot, power on/off, custom kernel, console access, etc. It is also large-scale: “support Big Data, Big Compute research” ~650 nodes (~14,500 cores), 5 PB of storage distributed over 2 sites connected with 100G network It is complementary to other testbeds such as GENI Chameleon is an open testbed Open to all non-commercial CS research projects NSF-funded naonal facility Create account, then create or join a project (less than 24 hour review) Find out more at www.chameleoncloud.org! www. chameleoncloud.org CHAMELEON HARDWARE To UTSA, GENI, Future Partners Switch Standard Core Services Cloud Unit Front End and Data 504 x86 Compute Servers 42 compute Mover Nodes 48 Dist. Storage Servers 4 storage 102 Heterogeneous Servers x2 16 Mgt and Storage Nodes Chameleon Core Network Chicago SCUs connect to 100Gbps uplink public network AusTn core and fully (each site) connected to each other Heterogeneous Switch Cloud Units Standard Core Services Alternate Processors Cloud Unit 3.6 PB Central File and Networks 42 compute Systems, Front End 4 storage and Data Movers x10 www. -
Automated System and Service Monitoring with Openqrm and Nagios
Name: Matthias Rechenburg Email: [email protected] Organization: the openQRM project Copyright (C) 2007 Matthias Rechenburg This document is released under the GNU/GPL Automated system and service monitoring with openQRM and Nagios The first step to make sure all systems and services in a data centers are running well is to monitor them. A well-known, proven and widely used monitoring tool is Nagios which is available for openQRM in the flavor of an additional plugin. The second, also essential, step is the automatic handling of errors, what openQRM is famous for. The combination of the enhanced monitoring utility Nagios and the automated error-handling, high-availability and fail-over features of the openQRM data center management platform creates a powerful and dynamic environment which reduces down-time of systems and services in a modern data center to the minimum. Common data center scenarios and their challenges In a common data center setup there are different server “islands” for specific purposes as databases, web-servers, infrastructure and communication systems, network-devices, storage-servers, etc. Also, often there is a separation between production-, QA- and development environment. Each section of the data center has its own specific setup, mostly a very special, static installation, maintained by one or more administrators. To make it worse, each section may have different service-level-agreements (SLA) which generates additional complexity for the service- and system-monitoring infra- structure. Also common for data centers is that new systems are added sequentially while other systems are fully underutilized, just consuming power and producing heat. Turning to fully automated system- and service monitoring With the increasing number of systems and the resulting complexity the goal is to reach a level of fully automated service- and system-monitoring which is easy to setup and maintain and which provides an automated error-handling to gain high-availability at system- and service-level for the complete data center environment. -
Paas Solutions Evaluation
PaaS solutions evaluation August 2014 Author: Sofia Danko Supervisors: Giacomo Tenaglia Artur Wiecek CERN openlab Summer Student Report 2014 CERN openlab Summer Student Report 2014 Project Specification OpenShift Origin is an open source software developed mainly by Red Hat to provide a multi- language PaaS. It is meant to allow developers to build and deploy their applications in a uniform way, reducing the configuration and management effort required on the administration side. The aim of the project is to investigate how to deploy OpenShift Origin at CERN, and to which extent it could be integrated with CERN "Middleware on Demand" service. The student will be exposed to modern cloud computing concepts such as PaaS, and will work closely with the IT middleware experts in order to evaluate how to address service needs with a focus on deployment in production. Some of the tools that are going to be heavily used are Puppet and Openstack to integrate with the IT infrastructure. CERN openlab Summer Student Report 2014 Abstract The report is a brief summary of Platform as a Service (PaaS) solutions evaluation including investigation the current situation at CERN and Services on Demand provision, homemade solutions, external market analysis and some information about PaaS deployment process. This first part of the report is devoted to the current status of the process of deployment OpenShift Origin at existing infrastructure at CERN, as well as specification of the common issues and restrictions that were found during this process using different machines for test. Furthermore, the following open source software solutions have been proposed for the investigation of possible PaaS provision at CERN: OpenShift Online; Cloud Foundry; Deis; Paasmaster; Cloudify; Stackato; WSO2 Stratos. -
A Comparative Study of Current Open-Source Infrastructure As a Service Frameworks
A Comparative Study of Current Open-source Infrastructure as a Service Frameworks Theo Lynn, Graham Hunt, David Corcoran, John Morrison and Philip Healy Irish Centre for Cloud Computing, Dublin 9, Ireland Keywords: Cloud Computing, Open Source, IaaS, Openstack, Cloudstack, Opennebula, Eucalyptus. Abstract: With the growth of cloud computing in recent years, several commercial and open source IaaS frameworks have emerged. The development of open source IaaS solutions offers a free and flexible alternative to commercial cloud services. The main contribution of this paper is to provide a qualitative comparative of current open-source IaaS frameworks. Existing research papers examining open source IaaS frameworks have focused on comparing OpenStack with a small number of alternatives. However, current research fails to adequately compare all major open source frameworks in a single study and notably lacks the inclusion of CloudStack. Our research paper provides the first overview of the five main open source cloud IaaS frameworks – OpenStack, CloudStack, OpenNebula, Eucalyptus and Nimbus. As such, this review provides researchers and potential users with an up to date and comprehensive overview of the features of each solution and allows for an easy comparison between the open source solutions. 1 INTRODUCTION the freedom to modify the source code and build a cloud that is pluggable and open to extensions while Cloud Computing technologies have seen significant reducing costs and avoiding vendor lock-in (Zhang adoption in recent years by enterprises, researchers et al., 2013; Wen et al. 2012; Bist et al., 2013). The and individuals. It is forecast that the Cloud development of open source solutions is of particular Computing industry will reach a market size of $241 importance for the further proliferation of private billion by 2020 (Reid and Kilster, 2011). -
A Private Cloud Architecture Designed for High Usability
THUNDER: A PRIVATE CLOUD ARCHITECTURE DESIGNED FOR HIGH USABILITY by GABRIEL JACOB LOEWEN SUSAN VRBSKY, COMMITTEE CHAIR MONICA ANDERSON JOHN LUSTH ASHRAF SAAD JINGYUAN ZHANG A DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science in the Graduate School of The University of Alabama TUSCALOOSA, ALABAMA 2015 Copyright Gabriel Jacob Loewen 2015 ALL RIGHTS RESERVED ABSTRACT Cloud computing is a technological strategy for saving time, money, and resources within an organization. Underfunded and understaffed organizations benefit the most from a cloud archi- tecture because it can help to alleviate a cost burden allowing funds to be used more effectively. Therefore, we believe that non-profit organizations, such as schools, libraries, non-profit medical facilities, and others have the most to gain from cloud computing. Cloud computing has played a major role in shaping large for-profit businesses like Google, Amazon, and Microsoft. Research has suggested that cultural barriers make it difficult for professionals in non-profits to adopt cloud computing technology. One key challenge faced by organizations for which a cloud architecture would be benefi- cial is the deployment and management process. In order for private cloud computing to become a viable solution for struggling organizations, much work needs to be done to simplify and im- prove the deployment process. We describe a new cloud architecture called THUNDER, which is a recursive backronym meaning “THUNDER Helps Underfunded Nonprofits Distribute Electronic Resources.” THUNDER introduces strategies which are meant to help struggling organizations to de- crease costs. Virtual machine load balancing attempts to distribute the load across multiple nodes in order to maximize potential performance of virtual machines. -
Guest OS Compatibility Guide
Guest OS Compatibility Guide Guest OS Compatibility Guide Last Updated: September 29, 2021 For more information go to vmware.com. Introduction VMware provides the widest virtualization support for guest operating systems in the industry to enable your environments and maximize your investments. The VMware Compatibility Guide shows the certification status of operating system releases for use as a Guest OS by the following VMware products: • VMware ESXi/ESX Server 3.0 and later • VMware Workstation 6.0 and later • VMware Fusion 2.0 and later • VMware ACE 2.0 and later • VMware Server 2.0 and later VMware Certification and Support Levels VMware product support for operating system releases can vary depending upon the specific VMware product release or update and can also be subject to: • Installation of specific patches to VMware products • Installation of specific operating system patches • Adherence to guidance and recommendations that are documented in knowledge base articles VMware attempts to provide timely support for new operating system update releases and where possible, certification of new update releases will be added to existing VMware product releases in the VMware Compatibility Guide based upon the results of compatibility testing. Tech Preview Operating system releases that are shown with the Tech Preview level of support are planned for future support by the VMware product but are not certified for use as a Guest OS for one or more of the of the following reasons: • The operating system vendor has not announced the general availability of the OS release. • Not all blocking issues have been resolved by the operating system vendor.