May 25, 2021 TLP: White Report: 202105251512 Overview of Conti Ransomware
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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. -
Rclone Mount Using Systemd
Rclone Mount using Systemd This guide is for advanced users only and it serves as a guide for you to use rclone. The systemd files here are the recommended settings for our slots and will subject to change whenever there are new configurations that are appropriate for the slots. Furthermore, Ultra.cc is not responsible for any data loss or application errors due to this setup should you proceed and will not provide official support for it due to the large volume of variables and different configurations possible with rclone. You may visit the community discord server for help. Please make yourself aware of the Ultra.cc Fair Usage Policy. It is very important not to mount your Cloud storage to any of the premade folders, this creates massive instability for both you and everyone else on your server. Always follow the documentation and create a new folder for mounting. It is your responsibility to ensure usage is within acceptable limits. Ignorance is not an excuse. Please do not mount to any of the default directories such as: files media bin .apps .config www /homexx/username/ or any pre-created directory found on your Ultra.cc Slot Rclone's Mount allows you to mount any of your cloud storage accounts as part of your slot's file system using FUSE. In this guide, we will teach you how to run a rclone mount using systemd. Take note that this guide is setup using Google Drive as the cloud storage provider used. Should you use any other cloud storage providers, you may need consult rclone documentation for the appropriate flags for your setup. -
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 ............................................................................................................................. -
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 ................................................................................................................................. -
Expedite Base/MVS 4.6 Programming Guide
GXS EDI Services Expedite Base/MVS Programming Guide Version 4 Release 6 GC34-2204-05 Sixth Edition (November 2005) This edition applies to Expedite Base/MVS, Version 4 Release 6, and replaces GC34-2204-04. © Copyright GXS, Inc. 1994, 2005. All rights reserved. Government Users Restricted Rights - Use, duplication, or disclosure restricted. Contents . To the reader . xi Who should read this book . xi Terminology conventions . xi Type conventions . xii How this book is organized . xii Sample files . xiv Summary of changes . xiv Related books . xiv Chapter 1. Introducing Expedite Base/MVS . 1 Information Exchange . 1 Understanding the Expedite Base/MVS operating environment . 2 Hardware requirements . 2 Software requirements . 2 Connecting to Information Exchange . 2 Starting an Information Exchange session . 3 Ending an Information Exchange session . 3 Giving commands to Expedite Base/MVS . 3 Getting responses from Expedite Base/MVS . 3 Understanding command syntax . 4 Identifying Expedite Base/MVS error messages . 5 Identifying Information Exchange error messages . 5 Identifying Expedite Base/MVS completion codes . 5 Sending and receiving data . 5 Send and Receive file number limits . 6 Free-format messages . 7 Acknowledgments . 7 Restart and recovery considerations . 7 Providing security . 8 Selecting the Extended Security Option . 8 Working with libraries . 9 © Copyright GXS, Inc. 1994, 2005 iii Expedite Base/MVS Programming Guide Chapter 2. Setting up files, including the JCL . 11 How Expedite Base/MVS uses its primary files . 11 Expedite Base/MVS files . 12 File limitations . 12 Descriptions of required files . 13 Profile command file (INPRO) . 13 Profile response file (OUTPRO) . 14 Message command file (INMSG) . 15 Message response file (OUTMSG) . -
Telco Edge Cloud: Edge Service Description and Commercial Principles Whitepaper October 2020
Telco Edge Cloud: Edge Service Description and Commercial Principles Whitepaper October 2020 About the GSMA About the Telco Edge Cloud Group The GSMA represents the interests of The Telco Edge Cloud (TEC) group brings mobile operators worldwide, uniting more together over 20 operators, covering all than 750 operators with over 350 regions, who are working to promote a companies in the broader mobile collaborative deployment of cloud capabilities ecosystem, including handset at the edge of their networks. TEC is aiming to and device makers, software companies, align Multi-Access Edge Computing (MEC) equipment providers and internet business models, charging principles and companies, as well as organisations in commercial deployment considerations. adjacent industry sectors. The GSMA also produces the industry-leading MWC events TEC is working in partnership with the GSMA held annually in Barcelona, Los Angeles Operator Platform Group, which aims to create and Shanghai, as well as the Mobile 360 the architecture and technical requirements to Series of regional conferences. guide other Standard Developing Organisations (SDOs) in the development of For more information, please visit the specifications. GSMA corporate website at www.gsma.com. Follow the GSMA on Twitter: @GSMA. Executive Summary The Telco Edge Cloud taskforce was launched in the GSMA in March 2020 by 19 operators with the intention to design and develop a global edge computing service based on the federation of the edge infrastructures and platforms of a set of operators and edge service providers. Following its principle of being open and inclusive, the taskforce has grown to 25 members at the time of edition of this whitepaper and has set the basis for the global service launch. -
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. -
Information Technology Creates New Opportunities for Network Service Providers
White Paper “In the Cloud” Information Technology Creates New Opportunities for Network Service Providers Authors Seanan Murphy and Wagdy Samir Service Provider Practice Cisco Internet Business Solutions Group August 2008 Cisco Internet Business Solutions Group (IBSG) Cisco IBSG © 2008 Cisco Systems, Inc. All rights reserved. White Paper “In the Cloud” Information Technology Creates New Opportunities for Network Service Providers Introduction For the past several years, incumbent telecommunications service providers (SPs1) have faced a decline in core legacy revenues, such as fixed-line voice and legacy packet data services in the enterprise and small- and medium-sized business (SMB) markets, which has forced them to move into adjacent markets primarily through acquisitions. Data and voice mobile services and unmanaged fixed data services fueled revenue growth for integrated SPs, but have left a gap in earnings before interest, taxes, depreciation, and amortization (EBITDA). As a result, SPs have been retooling themselves to move “up the stack” into adjacent market spaces in the information technology value chain such as data center, unified communications, security, other IT-centric services, and advisory services. Many large, incumbent SPs entered these “up-the-stack” markets to a greater or lesser degree through acquisitions and alliances with IT providers. Managed network services are a part of this services market and a must-win battle for the incumbent service provider. Meanwhile, as SPs move into these adjacencies, “in the cloud” service providers— such as software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and hosted service-oriented architecture (HSOA) providers—are targeting transaction costs associated with IT services contracts and offering powerful, scaling economies. -
Initial Definition of Protocols and Apis
Initial definition of protocols and APIs Project acronym: CS3MESH4EOSC Deliverable D3.1: Initial Definition of Protocols and APIs Contractual delivery date 30-09-2020 Actual delivery date 16-10-2020 Grant Agreement no. 863353 Work Package WP3 Nature of Deliverable R (Report) Dissemination Level PU (Public) Lead Partner CERN Document ID CS3MESH4EOSC-20-006 Hugo Gonzalez Labrador (CERN), Guido Aben (AARNET), David Antos (CESNET), Maciej Brzezniak (PSNC), Daniel Muller (WWU), Jakub Moscicki (CERN), Alessandro Petraro (CUBBIT), Antoon Prins Authors (SURFSARA), Marcin Sieprawski (AILLERON), Ron Trompert (SURFSARA) Disclaimer: The document reflects only the authors’ view and the European Commission is not responsible for any use that may be made of the information it contains. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 863353 Table of Contents 1 Introduction ............................................................................................................. 3 2 Core APIS .................................................................................................................. 3 2.1 Open Cloud Mesh (OCM) ...................................................................................................... 3 2.1.1 Introduction .......................................................................................................................................... 3 2.1.2 Advancing OCM .................................................................................................................................... -
Economic and Social Impacts of Google Cloud September 2018 Economic and Social Impacts of Google Cloud |
Economic and social impacts of Google Cloud September 2018 Economic and social impacts of Google Cloud | Contents Executive Summary 03 Introduction 10 Productivity impacts 15 Social and other impacts 29 Barriers to Cloud adoption and use 38 Policy actions to support Cloud adoption 42 Appendix 1. Country Sections 48 Appendix 2. Methodology 105 This final report (the “Final Report”) has been prepared by Deloitte Financial Advisory, S.L.U. (“Deloitte”) for Google in accordance with the contract with them dated 23rd February 2018 (“the Contract”) and on the basis of the scope and limitations set out below. The Final Report has been prepared solely for the purposes of assessment of the economic and social impacts of Google Cloud as set out in the Contract. It should not be used for any other purposes or in any other context, and Deloitte accepts no responsibility for its use in either regard. The Final Report is provided exclusively for Google’s use under the terms of the Contract. No party other than Google is entitled to rely on the Final Report for any purpose whatsoever and Deloitte accepts no responsibility or liability or duty of care to any party other than Google in respect of the Final Report and any of its contents. As set out in the Contract, the scope of our work has been limited by the time, information and explanations made available to us. The information contained in the Final Report has been obtained from Google and third party sources that are clearly referenced in the appropriate sections of the Final Report.