DOCSLIB.ORG

Public? Private? Hybrid? What Is the Optimal Deployment Strategy for Your Applications

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Public? Private? Hybrid? What Is the Optimal Deployment Strategy for Your Applications William Giard, Principal Engineer Intel Corporation Intel Confidential – For Use Under NDA Legal Notices & Disclaimers This document contains information on products, services and/or processes in development. All information provided here is subject to change without notice. Contact your Intel representative to obtain the latest forecast, schedule, specifications and roadmaps. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Learn more at intel.com, or from the OEM or retailer. No computer system can be absolutely secure. Tests document performance of components on a particular test, in specific systems. Differences in hardware, software, or configuration will affect actual performance. Consult other sources of information to evaluate performance as you consider your purchase. For more complete information about performance and benchmark results, visit http://www.intel.com/performance. Cost reduction scenarios described are intended as examples of how a given Intel-based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstances will vary. Intel does not guarantee any costs or cost reduction. Statements in this document that refer to Intel’s plans and expectations for the quarter, the year, and the future, are forward-looking statements that involve a number of risks and uncertainties. A detailed discussion of the factors that could affect Intel’s results and plans is included in Intel’s SEC filings, including the annual report on Form 10-K. The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document. Intel does not control or audit third-party benchmark data or the web sites referenced in this document. You should visit the referenced web site and confirm whether referenced data are accurate. Intel, the Intel logo, Atom, Xeon, Xeon Phi, 3D Xpoint, Iris Pro and others are trademarks of Intel Corporation in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © 2017 Intel Corporation. 2 Industry Trends Influencing Enterprise IT Cloud enables other business priorities The “Cloud” is real Cyber security threats DevOps & Agile driving Open standards across Multi-Platform: OS, (and disruptive) TTM, quality software browser, mobile devices Internet of Things Social technologies are HyperScale focus is User Experience > Value and depth of driving new business changing user growing Functionality or Cost Analytics is increasing models interactions *Other names and brands may be claimed as the property of others. 3 Top Challenges for Enterprise IT 95% of Enterprises Use Cloud Technology Today1 Develop and test new capabilities with Reduce costs of IT resources with better Enable business to innovate with velocity faster time to market and value data center automation and orchestration while remaining safe and protected Extracting insight from data fast enough Lower infrastructure investment and Ensure data resiliency with availability of to matter and prove ROI increase utilization of compute, network, backup and recovery resources and storage Respond automatically and immediately Remain in control of all data with to spikes and lulls in demand multilayered security and encryption 1. 2017 Right Scale annual State of the Cloud Report n=1060 4 The future is HybridCloud Cloud Management & Orchestration Public Hybrid private Off prem or multi-tenant Mix of Public/Private On Prem or single tenant data center Workloads in both architectures Data center Intel Confidential – For Use Under NDA 6 The Move to Hybrid Cloud Considering Hybrid cloud Enterprise Cloud Adoption 60% 70% Multi-cloud Strategy 82% A Single Public Cloud 10% of IT DMs see hybrid of US organizations are A Single Private Cloud 5% cloud as the considering a hybrid culmination of their cloud strategy in the cloud strategy.1 2 next 24 months. 0% 20% 40% 60% 80% 100% 2016 RightScale annual State of the Cloud Report 1 Study by Rackspace and Vanson Bourne, blog.rackspace.com/hybrid-cloud-is-the-future-for-60-percent-of-uk-and-us-enterprises-finds-rackspace-study 2 The International Data Corporation (IDC) multiclient study, CloudView 2016 7 Hybrid Architecture Benefits Reduced Time to Market and Value Lower Costs Improved Scalability and Resiliency Higher Developer Satisfaction Improved IT infrastructure Management and Flexibility 8 Public? Private? Hybrid? What is the optimal deployment strategy ... Finding the Optimal Cloud... It’s a Balancing Act Workload Placement Decision Factors Business Business Technical Ecosystem Considerations Considerations Considerations Ecosystem Agility/Time to Performance Mature SaaS market Integration offerings Technical Legal/Regulatory Data Size CSP services Total cost of Security Cloud expertise ownership accessibility Source: Intel Internal. DCG Q42016 10 BUSN Business Considerations for Application attributes Public Cloud Private Cloud • Deploy new capabilities without migrating • Minimizes initial CapEx expenditure Agility/TTM • Industry leading SaaS solution or service available applications • Major regulations or compliance requirements • Fewer regulations or compliance requirements to consider Compliance, Legal, • Regulatory restrictions include PII or other sensitive information • Limited data sovereignty, compliance solutions available and Asset Control • Organization trusts third parties to manage data • Requires absolute business data and IP control • Global customer base Global Reach and • Country Internet restrictions and/or data sovereignty • Customers in remote locations End-User Location • Established multi-geo, private data centers • Flexible service-level agreements Service-Level • Restrictive service-level agreements Agreement • Willing to accept service latency and downtime risks • Risk-adverse to service-level failures Flexibility Source: Intel Internal DCG Q42016 11 Top 4 Most Common App Workload TECH Considerations As noted by customers and experts as driving their workload plans: • Low to moderate data volumes • Unpredictable and dynamic • Workloads have fewer integrations • Insufficient in-house technical (CRM, web servers, search, and workloads with dependent systems security expertise others) with frequent access • Extensive computing power • CSP has specific security • Dependent systems have open • Large data with infrequent access required at irregular intervals capability (DoD SRG1, NIST, APIs (backup/disaster recovery) ITAR) Public Cloud • New or experimental capabilities, • Dependent systems also reside on • Significant external data consumed prototypes public cloud by workload • Latency-sensitive applications • Processes include high-risk data • Dependent systems do not have • Significant data volume (financial, open APIs and require complex industrial, and others) • I/O or computationally intensive • Private/ (IP, PII, PHI) integrations workloads • Data must reside close to the • Dependent systems are not on a application Private Cloud • Need for visible performance public cloud, requiring significant monitoring in IT’s direct control WAN traffic increase Source: Intel Internal DCG Q42016 12 Intel Affinity Model for Workload Placement Attribute Score Global Scale, Latency Sensitive Apps, Mature SaaS Solutions Data Location Critical Variability of Demand Available Off-Premises On-Premises Source: Intel Internal DCG Q42016 *Traditional workloads scored based on the 4 attributes and new workloads scored based on forecasted workload weight 16 Ecosystem Considerations ECO Source: Intel Internal DCG Q42016 14 Intel IT: Two different decisions Public Cloud SaaS Solution Private Cloud Application Development 16 Intel IT: HR Case Study Business Strategy Comprehended All Workload Attributes Workload: Employee Expense & Travel Reimbursement Human Resources portfolio – Decision Maker IT Employee Mobility Product Line Owner – Mandate None: IBM* exited expense form service – Business Case New functionality enablement such as mobile, SaaS and travel/expense solution consolidation efficiencies Outcome . 4 years in production, managing $450M/year of expenses with 390k expense reports/year, and very low incident volume . Eliminated need for employees to use paper receipts . Automation of fraud detection and payment duplication (with ~2.5%/year return to Intel) *Other names and brands may be claimed as the property of others. *Cost savings are based on Intel’s experience. Intel does not guarantee or warrant others will obtain similar results. 17 The Role of the Developer / LOB is Increasing Developers can either accelerate or inhibit cloud adoption Technology Technology Maturity Emerging: Mature: Emerging, advanced techniques More influence Less Influence . IOT . Collaboration . ML/DL/AI . Email . Cloud-oriented app Application architecture Highly custom, new, or end of life SaaS Organization Product Lifecycle Tech-led biz model and startup Users Seniority Developer Influence More influence in the org Initiate Grow Mature Decline 18 Enabling the Business through Cloud Technologies Aligning Developer and Enterprise IT Needs thru IaaS, PaaS, and DBaaS Agility – Time to Market for our customers! . App & Database creation/configuration goes from weeks to minutes . Developers
Load more

Recommended publications
  • Building Your Hybrid Cloud Strategy with AWS Ebook
    Building Your Hybrid Cloud Strategy with AWS eBook A Guide to Extending and Optimizing Your Hybrid Cloud Environment Contents Introduction 3 Hybrid Cloud Benefits 4 Common AWS Hybrid Cloud Workloads 6 Key AWS Hybrid Cloud Technologies and Services 6 VMware Cloud on AWS 18 AWS Outposts: A Truly Consistent Hybrid Experience 21 Becoming Migration Ready 23 Hybrid Cloud Enablement Partners 24 Conclusion 26 Further Reading and Key Resources 27 © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Introduction Optimizing IT Across Cloud and On-Premises Environments Public sector organizations continue to do more with less, find ways to innovate and bring new ideas to their organizations while dealing with security and maintaining mission-critical legacy systems. Evolving cloud capabilities are transforming the IT landscape for many public sector organizations, some use cases a hybrid cloud approach can help ease and accelerate a path to modernization and cloud adoption. For some use cases a hybrid cloud approach became a more feasible path to IT modernization and cloud adoption. For example, some customers have applications that require the lowest network latency possible, or they already achieve consistent and predicable performance in an on- premises environment, but want to use new cloud tools to enhance the application (e.g. Enterprise Resource Planning systems, real-time sensor data processing, industrial automation and transaction processing). Some customers may encounter unique challenges such as federal regulations associated with data residency, or limitations on their use of the cloud. A hybrid cloud (the use of both on-premises and cloud resources), allows IT organizations to optimize the performance and costs of every application, project and system in either the cloud, on-premises datacenters, or a combination of both.
    [Show full text]
  • Magic Quadrant for Enterprise High-Productivity Application Platform As a Service
    This research note is restricted to the personal use of [email protected]. Magic Quadrant for Enterprise High- Productivity Application Platform as a Service Published: 26 April 2018 ID: G00331975 Analyst(s): Paul Vincent, Van Baker, Yefim Natis, Kimihiko Iijima, Mark Driver, Rob Dunie, Jason Wong, Aashish Gupta High-productivity application platform as a service continues to increase its footprint across enterprise IT as businesses juggle the demand for applications, digital business requirements and skill set challenges. We examine these market forces and the leading enterprise vendors for such platforms. Market Definition/Description Platform as a service (PaaS) is application infrastructure functionality enriched with cloud characteristics and offered as a service. Application platform as a service (aPaaS) is a PaaS offering that supports application development, deployment and execution in the cloud. It encapsulates resources such as infrastructure. High- productivity aPaaS (hpaPaaS) provides rapid application development (RAD) features for development, deployment and execution — in the cloud. High-productivity application platform as a service (hpaPaaS) solutions provide services for declarative, model-driven application design and development, and simplified one-button deployments. They typically create metadata and interpret that metadata at runtime; many allow optional procedural programming extensions. The underlying infrastructure of these solutions is opaque to the user as they do not deal with servers or containers directly. The rapid application development (RAD) features are often referred to as "low-code" and "no-code" support. These hpaPaaS solutions contrast with those for "high-control" aPaaS, which need professional programming — "pro-code" support, through third-generation languages (3GLs) — and provide transparent access to the underlying infrastructure.
    [Show full text]
  • An Introduction to Cloud Databases a Guide for Administrators
    Compliments of An Introduction to Cloud Databases A Guide for Administrators Wendy Neu, Vlad Vlasceanu, Andy Oram & Sam Alapati REPORT Break free from old guard databases AWS provides the broadest selection of purpose-built databases allowing you to save, grow, and innovate faster Enterprise scale at 3-5x the performance 14+ database engines 1/10th the cost of vs popular alternatives - more than any other commercial databases provider Learn more: aws.amazon.com/databases An Introduction to Cloud Databases A Guide for Administrators Wendy Neu, Vlad Vlasceanu, Andy Oram, and Sam Alapati Beijing Boston Farnham Sebastopol Tokyo An Introduction to Cloud Databases by Wendy A. Neu, Vlad Vlasceanu, Andy Oram, and Sam Alapati Copyright © 2019 O’Reilly Media Inc. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com). For more infor‐ mation, contact our corporate/institutional sales department: 800-998-9938 or [email protected]. Development Editor: Jeff Bleiel Interior Designer: David Futato Acquisitions Editor: Jonathan Hassell Cover Designer: Karen Montgomery Production Editor: Katherine Tozer Illustrator: Rebecca Demarest Copyeditor: Octal Publishing, LLC September 2019: First Edition Revision History for the First Edition 2019-08-19: First Release The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. An Introduction to Cloud Databases, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. The views expressed in this work are those of the authors, and do not represent the publisher’s views.
    [Show full text]
  • Price-Performance in Modern Cloud Database Management Systems
    Price-Performance in Modern Cloud Database Management Systems McKnight Consulting Group December 2019 www.m c k n i g h t c g . c o m Executive Summary The pace of relational analytical databases deploying in the cloud are at an all-time high. And industry trends indicate that they are poised to expand dramatically in the next few years. The cloud is a disruptive technology, offering elastic scalability vis-à-vis on-premises deployments, enabling faster server deployment and application development, and allowing less costly storage. The cloud enables enterprises to differentiate and innovate with these database systems at a much more rapid pace than was ever possible before. For these reasons and others, many companies have leveraged the cloud to maintain or gain momentum as a company. The cost profile options for these cloud databases are straightforward if you accept the defaults for simple workload or POC environments. However, it can be enormously expensive and confusing if you seek the best price-performance for more robust, enterprise workloads and configurations. Initial entry costs and inadequately scoped POC environments can artificially lower the true costs of jumping into a cloud data warehouse environment. Cost predictability and certainty only happens when the entire picture of a production data warehouse environment is considered; all workloads, a true concurrency profile, an accurate assessment of users and a consideration of the durations of process execution. Architects and data warehouse owners must do their homework to make the right decision. With data warehouses, it is a matter of understanding the ways they scale, handle performance issues and concurrency.
    [Show full text]
  • The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform
    International Journal of Computer Applications (0975 – 8887) Volume 177 – No. 35, February 2020 The Impact of the Google Cloud to Increase the Performance for a Use Case in E-Commerce Platform Silvana Greca Anxhela Kosta Department of Informatics Department of Informatics Faculty of Natural Sciences Faculty of Natural Sciences University of Tirana University of Tirana Tirana, Albania Tirana, Albania ABSTRACT Storing the unstructured and complex data in traditional SQL A massive amount of complex and huge digital data storing is database is very difficult[13]. For this reason, it was necessary caused due to the development of intelligent environments to create many types of database. NoSQL databases are useful and cloud computing. Today the organizations are using for applications that deal with very large semi-structured and Google Cloud platform to store and retrieve of all amount of unstructured data. NoSQL databases do not require a default their data at any time. Google offers database storage schema associated with the data. The purpose of the NoSQL like:Cloud Datastore for NoSQL non-relational database and databases is to increase the performance and scalability of a Cloud SQL for MySQL fully relational database. During specific application and service. years, enterprise organizations have accumulated growing Nowadays, e-commerce platform is very popular and is going stores of data, running analytics on that data to gain value through a transformation driven by customers who expect a from large information sets, and developing applications to seamless experience between online and in store. As a result, manage data exclusively. Traditional SQL databases are used many retailers are turning to cloud technologies in order to for storing and managing content of structured data, but with meet these needs.
    [Show full text]
  • Database Solutions on AWS
    Database Solutions on AWS Leveraging ISV AWS Marketplace Solutions November 2016 Database Solutions on AWS Nov 2016 Table of Contents Introduction......................................................................................................................................3 Operational Data Stores and Real Time Data Synchronization...........................................................5 Data Warehousing............................................................................................................................7 Data Lakes and Analytics Environments............................................................................................8 Application and Reporting Data Stores..............................................................................................9 Conclusion......................................................................................................................................10 Page 2 of 10 Database Solutions on AWS Nov 2016 Introduction Amazon Web Services has a number of database solutions for developers. An important choice that developers make is whether or not they are looking for a managed database or if they would prefer to operate their own database. In terms of managed databases, you can run managed relational databases like Amazon RDS which offers a choice of MySQL, Oracle, SQL Server, PostgreSQL, Amazon Aurora, or MariaDB database engines, scale compute and storage, Multi-AZ availability, and Read Replicas. You can also run managed NoSQL databases like Amazon DynamoDB
    [Show full text]
  • Performance Evaluation of Nosql Databases As a Service with YCSB: Couchbase Cloud, Mongodb Atlas, and AWS Dynamodb
    Performance Evaluation of NoSQL Databases as a Service with YCSB: Couchbase Cloud, MongoDB Atlas, and AWS DynamoDB This 24-page report evaluates and compares the throughput and latency of Couchbase Cloud, MongoDB Atlas, and Amazon DynamoDB across four varying workloads in three different cluster configurations. By Artsiom Yudovin, Data Engineer ​ ​ Uladzislau Kaminski, Senior Software Engineer ​ Ivan Shryma, Data Engineer ​ Sergey Bushik, Lead Software Engineer ​ Q4 2020 Table of Contents 1. Executive Summary 3 2. Testing Environment 3 2.1 YCSB instance configuration 3 2.2 MongoDB Atlas cluster configuration 4 2.3 Couchbase Cloud cluster configuration 5 2.4 Amazon DynamoDB cluster configuration 6 2.5 Prices 6 2.5.1 Couchbase costs 7 2.5.2 MongoDB Atlas costs 7 2.5.3 Amazon DynamoDB costs 8 3. Workloads and Tools 8 3.1 Workloads 8 3.2 Tools 8 4. YCSB Benchmark Results 10 4.1 Workload A: The update-heavy mode 10 4.1.1 Workload definition and model details 10 4.1.2 Query 10 4.1.3 Evaluation results 11 4.1.4 Summary 12 4.2 Workload E: Scanning short ranges 12 4.2.1 Workload definition and model details 12 4.2.3 Evaluation results 14 4.2.4 Summary 15 4.3 Pagination Workload: Filter with OFFSET and LIMIT 15 ​ 4.3.1 Workload definition and model details 15 4.3.2 Query 17 4.3.3 Evaluation results 17 4.3.4 Summary 18 4.4 JOIN Workload: JOIN operations with grouping and aggregation 18 ​ ​ 4.4.1 Workload definition and model details 18 4.4.2 Query 19 4.4.3 Evaluation results 20 4.4.4 Summary 20 5.
    [Show full text]
  • Run Critical Databases in the Cloud
    Cloud Essentials Run Critical Databases in the Cloud Oracle has the most complete data management portfolio for any enterprise workload. Cloud computing is transforming business practices and simplifying data center operations. However, when it comes to moving critical database assets to the cloud, many IT leaders are cautious—and rightly so. They have seen the limitations of popular commodity cloud solutions, which mostly consist of fragmented hardware and software offerings that must be manually configured. IT pros must build their own platforms on top of the service provider’s commodity infrastructure, migrate their data, and then figure out how to keep everything in sync with the apps and data still maintained on premise. Oracle Autonomous Database provides enterprise-level scalability, security, performance, and automation—at a level that often exceeds what you can achieve in your own data center. You can subscribe to complete database platforms with a few clicks, eliminating the need to provision, build, and manage in-house databases and storage systems. With pay-as-you-grow configurations—all managed by Oracle experts— your organization will obtain operational flexibility with zero up-front capital expenses. It’s a great way to lower operational costs because you pay only for what you use. Read on to discover what a powerful cloud database can do for your business. Migrating to a Cloud Computing Model Modern businesses depend on their data more than cloud services work together automatically— ever before. That data is coming at an alarming rate, and in many cases, autonomously. placing crushing demands on data marts, enterprise data warehouses, and analytics systems.
    [Show full text]
  • Cloud Database Battle: AWS Vs. DIY Vs. Oracle
    Cloud Database Battle: AWS vs. DIY vs. Oracle Cloud Database Battle: AWS vs. DIY vs. Oracle by, David Floyer January 18th, 2021 The first premise of this research is that architecting the Oracle Cloud Database service to run on specialized hardware and software, either on-premises or in Oracle Cloud Infrastructure (OCI), allows the cloud database vendor to reduce costs significantly. This approach also allows the vendor to provide autonomous services based on economies of scale that further reduce the operational support costs. The combination of the two methods leads to halving the cost of running today’s cloud database application suites. The second premise is that future synchronous automation of business processes will require real-time integration between systems-of-record, advanced analytic/AI inference systems, and other data and cloud database types. This integration can only be achieved by sharing data between database types. Also, the operation of synchronous applications is too complex for traditional operational processes. Therefore, high levels of cloud database and application automation, and machine learning are imperatives for synchronous application deployment. Oracle Cloud Database is Tier-1 and in a class of its own. Wikibon recommends that larger enterprises with mission-critical workloads should not convert from Oracle to other databases. Instead, Wikibon recommends migrating to Autonomous Cloud Database on Oracle Exadata Cloud@Customer X8M, Oracle Exadata Cloud Service on OCI, or other Oracle Database cloud services. Wikibon recommends that enterprises minimize the number of separate databases and data types and use the converged Oracle Cloud Database instead. © 2021 Wikibon Research | Page 1 Cloud Database Battle: AWS vs.
    [Show full text]
  • Planning and Designing Databases on Aws(Awss04)Englisch
    PLANNING AND DESIGNING DATABASES ON AWS (AWSS04) ENGLISCH In this course, you will learn about the process of planning and designing both relational and nonrelational AWS databases. It will teach you how to use workload requirements to define database design considerations and also explore the features and capabilities of the eight AWS database services. By the end of the course, you will be able to determine which AWS database service is right for your workloads, and design the database to meet your requirements. Target Group • Data Engineers who are new to designing cloud databases or nonrelational databases • Solutions Architects who are designing services or architectures that are integrated with databases • Developers that are building cloud database-enabled applications Prerequisites • Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training • Understanding of database design concepts, and/or data modeling for relational or nonrelational databases • Familiarity with cloud computing concepts • Familiarity with general networking and encryption concepts • Understanding of the three V’s of data (volume, velocity, and variety) • Familiarity with basic data analytics concepts, equivalent to Data Analytics Fundamentals digital training • Understanding of general architecting best practices and the AWS Well-Architected Framework, equivalent to Architecting on AWS classroom training Main Topics • Apply database concepts, database management, and data modeling techniques • Evaluate hosting databases on
    [Show full text]
  • Recent Trends for Efficient and Secure Accessing Scheme for Cloud Database
    © 2017 IJEDR | Volume 5, Issue 4 | ISSN: 2321-9939 Recent Trends for Efficient and Secure Accessing Scheme for Cloud Database Dr. Santosh S. Lomte1, Swati V. Khidse2 1Principal VDF’s School of Engineering & Technology, Latur, India, 2 PhD Student 1, 2 Department of Computer Science & Engineering, 2Dr. B. A. M. University, Aurangabad, Maharashtra, India. ________________________________________________________________________________________________________ Abstract - Cloud computing provides an enormous amount of virtual storage, it provides access to servers, storage, databases and a broad set of application services over the Internet. Its popularity is growing day by day. Consequently, there is a need for strong authentication schemes for securing access to cloud database. Data protection and security are the primary factors in cloud database for gaining user's trust and making successful use of cloud technology. There are number of data protections and data security techniques that have been proposed in the research field of cloud computing. However, there is need for enhancing data protection techniques. Index Terms—Encryption, Data Protection, Confidentiality, Obfuscation; ________________________________________________________________________________________________________ I. INTRODUCTION Cloud computing allows their users to store and access computing resources and data over INTERNET rather than from the local hard drive. It also helps to increase the storage capacity because users can use more than one cloud services for storing their data and thus reduce the cost because there is no need for owning an expensive computer with larger memory. According to the US National Institute of Standards and Technology (NIST), cloud computing is a model enabling ubiquitous, convenient, on- demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction [1].
    [Show full text]
  • Database High Availability As a Service for Cloud
    DBHAAAS – DATABASE HIGH AVAILABILITY AS A SERVICE FOR CLOUD COMPUTING A DISSERTATION IN Computer Science and Telecommunications and Computer Networking Presented to the Faculty of the University of Missouri-Kansas City in partial fulfillment of the requirements for the degree DOCTOR OF PHILOSOPHY by CHETAN JAISWAL B.E., Rajiv Gandhi Technical University, 2007 Kansas City, Missouri 2016 © 2016 CHETAN JAISWAL ALL RIGHTS RESERVED DBHAAAS – DATABASE HIGH AVAILABILITY AS A SERVICE FOR CLOUD COMPUTING Chetan Jaiswal, Candidate for the Doctor of Philosophy Degree University of Missouri-Kansas City, 2016 ABSTRACT On conventional database systems, the recovery manager applies transaction Undo or Redo operation or a combination of them to recover the last consistent state of the database from a system failure. Transaction redo, compared to undo, helps to shorten the system downtime so the execution of transactions is managed in such a way that majority of transactions require redo to recover the database. To further reduce the recovery time, the recovery module uses “Checkpoint” operation. Even though it is possible to eliminate transaction redo altogether, the conventional system architecture, however, is not capable to deploy innovative approaches. The availability of “Virtual” machines on cloud has given us an architecture that makes it possible to completely do away with transaction redo which allows us to eliminate the effect of system or transaction failure by taking the database to the next consistent state. In this dissertation, we present a novel scheme of eliminating the effect of such failures by applying transaction “roll-forward.” Our approach intelligently applies roll-forward from the iii point of failure which removes the effect of system failure on the database.
    [Show full text]