Download or read book Scalable Transaction Processing in Cloud native OLTP Database Systems written by Zhihan Guo and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation delves into the emerging trend of database migration to the cloud, focusing on the evolution, challenges, and innovations in cloud-native Online Transaction Processing (OLTP) systems. With the increasing shift of businesses towards cloud databases, driven by benefits like cost efficiency, scalability, and advanced features like fault tolerance and security, there is a growing preference for Database as a Service (DBaaS). Initially, cloud providers deployed traditional database software such as PostgreSQL and MySQL in the cloud. To enhance their competitive edge in terms of cost and elasticity, they introduced cloud-native databases designed specifically for cloud environments. A key design principle in these cloud-native databases is disaggregation, which involves separating components into distinct sub-services for independent scaling and billing. This approach improves resource utilization, reduces operational costs, and supports cloud deployment by reusing existing sub-services. Compute-storage disaggregation, or storage disaggregation, is a prominent architecture in modern cloud-native OLTP systems, connecting compute and storage clusters via a network. This storage-disaggregation architecture presents new opportunities and challenges. It allows for leveraging Storage as a Service (STaaS) in the cloud, offered by major providers with diverse interfaces and features. However, it also introduces increased latency in I/O operations. This necessitates a revision of traditional database designs to exploit new opportunities and address these challenges. This dissertation focuses on three key aspects of transaction processing: index, atomic commit, and concurrency control. We first explore index designs in the context of storage disaggregation. Introducing Bonsai, a two-fold index design which maintains an index in compute-side memory optimized for hot data accesses while offloading cold data accesses to the index embedded in nowadays storage services. Bonsai reduces network traffic and improves throughput. Next, we reevaluate atomic commit protocols in a partitioned database, specifically the two-phase commit (2PC), in a storage disaggregation architecture. We propose Cornus, an optimized 2PC protocol tailored for STaaS, addressing its inherent latency and blocking issues. Lastly, we address the challenge of concurrency control in high-contention scenarios, a significant concern as databases migrate to the cloud. We present Bamboo, a pessimistic concurrency control protocol, which enhances parallelism under high contention while maintaining correctness. This research aims to inspire database developers to rethink traditional designs in the context of evolving cloud-native OLTP databases, potentially establishing new principles for next-generation cloud-native database systems.

Download or read book Concurrency Control And Recovery In Oltp Systems High Scalability And Availability written by Zhou Aoying and published by World Scientific. This book was released on 2019-04-16 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transaction processing is fundamental for many modern applications. These applications require the backend transaction processing engines to be available at all times as well as provide a massive horizontal scale for intensive transaction requests.Concurrency Control and Recovery features recent progress in research in online transaction processing. The book also showcases the authors' research on a highly scalable OLTP system. Its contents include the designs of an efficient multiple version storage engine, a scalable range optimistic concurrency control, high-performance Paxos-based log replication, global snapshot isolation, and fast follower recovery.This book is written for professionals, researchers, and graduate students specialising in database systems and its related fields.

Download or read book Principles of Transaction Processing written by Philip A. Bernstein and published by Morgan Kaufmann. This book was released on 2009-07-24 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Transaction Processing is a comprehensive guide to developing applications, designing systems, and evaluating engineering products. The book provides detailed discussions of the internal workings of transaction processing systems, and it discusses how these systems work and how best to utilize them. It covers the architecture of Web Application Servers and transactional communication paradigms.The book is divided into 11 chapters, which cover the following: Overview of transaction processing application and system structureSoftware abstractions found in transaction processing systemsArchitecture of multitier applications and the functions of transactional middleware and database serversQueued transaction processing and its internals, with IBM's Websphere MQ and Oracle's Stream AQ as examplesBusiness process management and its mechanismsDescription of the two-phase locking function, B-tree locking and multigranularity locking used in SQL database systems and nested transaction lockingSystem recovery and its failuresTwo-phase commit protocolComparison between the tradeoffs of replicating servers versus replication resourcesTransactional middleware products and standardsFuture trends, such as cloud computing platforms, composing scalable systems using distributed computing components, the use of flash storage to replace disks and data streams from sensor devices as a source of transaction requests. The text meets the needs of systems professionals, such as IT application programmers who construct TP applications, application analysts, and product developers. The book will also be invaluable to students and novices in application programming. Complete revision of the classic "non mathematical" transaction processing reference for systems professionals Updated to focus on the needs of transaction processing via the Internet-- the main focus of business data processing investments, via web application servers, SOA, and important new TP standards Retains the practical, non-mathematical, but thorough conceptual basis of the first edition

Download or read book Scalable Transaction Processing Through Data oriented Execution written by Ippokratis Pandis and published by LAP Lambert Academic Publishing. This book was released on 2012-07 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data management technology changes the world we live in by providing efficient access to huge volumes of constantly changing data and by enabling sophisticated analysis of those data. In parallel, we witness a tremendous shift in the underlying hardware technology toward highly parallel multicore processors. Data management systems need to fully exploit the abundantly available hardware parallelism. Transaction processing is one of the most important and challenging database workloads and this dissertation contributes to the quest for scalable transaction processing software. It shows that conventional transaction processing has inherent scalability limitations due to the unpredictable access patterns caused by the request-oriented execution model it follows. Instead, it proposes adopting a data-oriented execution model, and shows that transaction processing systems designed around data-oriented execution break the inherent limitations of conventional execution. The data-oriented design paves the way for transaction processing systems to maintain scalability as parallelism increases for the foreseeable future; as hardware parallelism increases, the benefits will only increase.

Download or read book Main Memory Database Systems written by Frans Faerber and published by Foundations and Trends in Databases. This book was released on 2017-07-20 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: With growing memory sizes and memory prices dropping by a factor of 10 every 5 years, data having a "primary home" in memory is now a reality. Main-memory databases eschew many of the traditional architectural pillars of relational database systems that optimized for disk-resident data. The result of these memory-optimized designs are systems that feature several innovative approaches to fundamental issues (e.g., concurrency control, query processing) that achieve orders of magnitude performance improvements over traditional designs. This monograph provides an overview of recent developments in main-memory database systems. It covers five main issues and architectural choices that need to be made when building a high performance main-memory optimized database: data organization and storage, indexing, concurrency control, durability and recovery techniques, and query processing and compilation. The monograph focuses on four commercial and research systems: H-Store/VoltDB, Hekaton, HyPer, and SAPHANA. These systems are diverse in their design choices and form a representative sample of the state of the art in main-memory database systems. It also covers other commercial and academic systems, along with current and future research trends.

Download or read book Scalable Transactions for Scalable Distributed Database Systems written by Gene Pang and published by . This book was released on 2015 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of the Internet and Internet-connected devices, modern applications can experience very rapid growth of users from all parts of the world. A growing user base leads to greater usage and large data sizes, so scalable database systems capable of handling the great demands are critical for applications. With the emergence of cloud computing, a major movement in the industry, modern applications depend on distributed data stores for their scalable data management solutions. Many large-scale applications utilize NoSQL systems, such as distributed key-value stores, for their scalability and availability properties over traditional relational database systems. By simplifying the design and interface, NoSQL systems can provide high scalability and performance for large data sets and high volume workloads. However, to provide such benefits, NoSQL systems sacrifice traditional consistency models and support for transactions typically available in database systems. Without transaction semantics, it is harder for developers to reason about the correctness of the interactions with the data. Therefore, it is important to support transactions for distributed database systems without sacrificing scalability. In this thesis, I present new techniques for scalable transactions for scalable database systems. Distributed data stores need scalable transactions to take advantage of cloud computing, and to meet the demands of modern applications. Traditional techniques for transactions may not be appropriate in a large, distributed environment, so in this thesis, I describe new techniques for distributed transactions, without having to sacrifice traditional semantics or scalability. I discuss three facets to improving transaction scalability and support in distributed database systems. First, I describe a new transaction commit protocol that reduces the response times for distributed transactions. Second, I propose a new transaction programming model that allows developers to better deal with the unexpected behavior of distributed transactions. Lastly, I present a new scalable view maintenance algorithm for convergent join views. Together, the new techniques in this thesis contribute to providing scalable transactions for modern, distributed database systems.

Download or read book Big Data Systems written by Jawwad Ahmed Shamsi and published by CRC Press. This book was released on 2021-05-10 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces concepts and evolution of Big Data technology. Illustrates examples for thorough understanding. Contains programming examples for hands on development. Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning. Exemplifies widely used big data technologies such as Hadoop and Spark. Includes discussion on case studies and open issues. Provides end of chapter questions for enhanced learning

Download or read book Cloud Native Development Patterns and Best Practices written by John Gilbert and published by Packt Publishing Ltd. This book was released on 2018-02-09 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to apply cloud-native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence Key Features Understand the architectural patterns involved in cloud-native architectures Minimize risk by evolving your monolithic applications into distributed cloud-native systems Discover best practices for applying cloud-native patterns to your enterprise-level cloud applications Book Description Build systems that leverage the benefits of the cloud and applications faster than ever before with cloud-native development. This book focuses on architectural patterns for building highly scalable cloud-native systems. You will learn how the combination of cloud, reactive principles, devops, and automation enable teams to continuously deliver innovation with confidence. Begin by learning the core concepts that make these systems unique. You will explore foundational patterns that turn your database inside out to achieve massive scalability with cloud-native databases. You will also learn how to continuously deliver production code with confidence by shifting deployment and testing all the way to the left and implementing continuous observability in production. There's more—you will also learn how to strangle your monolith and design an evolving cloud-native system. By the end of the book, you will have the ability to create modern cloud-native systems. What you will learn Enable massive scaling by turning your database inside out Unleash flexibility via event streaming Leverage polyglot persistence and cloud-native databases Embrace modern continuous delivery and testing techniques Minimize risk by evolving your monoliths to cloud-native Apply cloud-native patterns and solve major architectural problems in cloud environment Who this book is for This book is for developers who would like to progress into building cloud-native systems and are keen to learn the patterns involved. Basic knowledge of programming and cloud computing is required.

Download or read book Scalability in Coordinated Transaction Management written by Nitin Gupta and published by . This book was released on 2012 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transaction processing systems are commonly employed in a wide range of applications, such as travel booking, financial trading, and online games. Typically, these applications are used by thousands of users simultaneously, and many a times, users attempt to coordinate on data values. In this dissertation, we argue that the current support for coordination in such systems is ad-hoc and not scalable. We propose simple, efficient, and scalable abstractions for coordination in transaction processing systems. This dissertation comprises of three papers - Scalability in Virtual Environments, Declarative Data-driven Coordination, and Entangled Transactions. In each of these papers, we look at scalability of coordinated transaction management from a unique perspective that can remarkably alter the manner in which coordination is perceived by both the users and developers of the aforementioned applications. In the first paper, we address scalability in virtual environments. Virtual environments are software systems in which users interact with each other in realtime within some shared environment. Current virtual environments, however, are unable to support a large number active users. The scalability problems arise in part because of the need to maintain consistency between all the players. In this paper, we propose a protocol that actively replicates actions, and show that replicating actions, as opposed to techniques that replicate data, allows for highly scalable virtual environments. We also propose an optimization of the AB-protocol that guarantees minimal execution at client machines. In the second paper, we explore declarative data-driven coordination. We propose Entangled Queries, a novel abstraction for coordination in databases. Entangled Queries provides the user with a simple but powerful declarative method to coordinate with other users. In addition to introducing Entangled Queries, we propose an efficiently enforceable syntactic safety condition that we argue is at the sweet spot of expressiveness and application requirements. In the last paper of this dissertation, we introduce entangled transactions. Entangled Transactions are units of work performed within a database management system against a database. Although such transactions look similar to classical transactions, they do not run in isolation and communicate with each other via entangled queries. In this paper, we look at an abstract model for Entangled Transactions and investigate interesting system issues that arise in their implementation.

Download or read book Architecting Cloud Native Applications written by Kamal Arora and published by Packt Publishing Ltd. This book was released on 2019-04-16 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply cloud native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence Key FeaturesDiscover best practices for applying cloud native patterns to your cloud applicationsExplore ways to effectively plan resources and technology stacks for high security and fault toleranceGain insight into core architectural principles using real-world examplesBook Description Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers. By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products: Cloud Native Development Patterns and Best Practices by John GilbertCloud Native Architectures by Erik Farr et al.What you will learnUnderstand the difference between cloud native and traditional architectureAutomate security controls and configuration managementMinimize risk by evolving your monolithic systems into cloud native applicationsExplore the aspects of migration, when and why to use itApply modern delivery and testing methods to continuously deliver production codeEnable massive scaling by turning your database inside outWho this book is for This Learning Path is designed for developers who want to progress into building cloud native systems and are keen to learn the patterns involved. Software architects, who are keen on designing scalable and highly available cloud native applications, will also find this Learning Path very useful. To easily grasp these concepts, you will need basic knowledge of programming and cloud computing.

Download or read book Transaction Processing written by Jim Gray and published by Elsevier. This book was released on 1992-09-30 with total page 1122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The key to client/server computing.Transaction processing techniques are deeply ingrained in the fields ofdatabases and operating systems and are used to monitor, control and updateinformation in modern computer systems. This book will show you how large,distributed, heterogeneous computer systems can be made to work reliably.Using transactions as a unifying conceptual framework, the authors show howto build high-performance distributed systems and high-availabilityapplications with finite budgets and risk. The authors provide detailed explanations of why various problems occur aswell as practical, usable techniques for their solution. Throughout the book,examples and techniques are drawn from the most successful commercial andresearch systems. Extensive use of compilable C code fragments demonstratesthe many transaction processing algorithms presented in the book. The bookwill be valuable to anyone interested in implementing distributed systemsor client/server architectures.

Download or read book Advanced Transaction Models and Architectures written by Sushil Jajodia and published by Springer Science & Business Media. This book was released on 1997-08-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motivation Modem enterprises rely on database management systems (DBMS) to collect, store and manage corporate data, which is considered a strategic corporate re source. Recently, with the proliferation of personal computers and departmen tal computing, the trend has been towards the decentralization and distribution of the computing infrastructure, with autonomy and responsibility for data now residing at the departmental and workgroup level of the organization. Users want their data delivered to their desktops, allowing them to incor porate data into their personal databases, spreadsheets, word processing doc uments, and most importantly, into their daily tasks and activities. They want to be able to share their information while retaining control over its access and distribution. There are also pressures from corporate leaders who wish to use information technology as a strategic resource in offering specialized value-added services to customers. Database technology is being used to manage the data associated with corporate processes and activities. Increasingly, the data being managed are not simply formatted tables in relational databases, but all types of ob jects, including unstructured text, images, audio, and video. Thus, the database management providers are being asked to extend the capabilities of DBMS to include object-relational models as well as full object-oriented database man agement systems.

Download or read book Database Systems for Advanced Applications written by Makoto Onizuka and published by Springer Nature. This book was released on with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Databases written by Jonathan Rigdon and published by Freegulls Publishing House. This book was released on with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Databases are structured collections of data that enable efficient retrieval, insertion, updating, and deletion of information. They serve as the foundation for various applications, from simple contact lists to complex enterprise systems. Key concepts include tables, which organize data into rows and columns; relationships, which define connections between tables; and SQL (Structured Query Language), used to interact with databases by querying and manipulating data.

Download or read book Hands On Google Cloud SQL and Cloud Spanner written by Navin Sabharwal and published by Apress. This book was released on 2019-12-16 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the methodologies and best practices for getting started with Google Cloud Platform relational services – CloudSQL and CloudSpanner. The book begins with the basics of working with the Google Cloud Platform along with an introduction to the database technologies available for developers from Google Cloud. You'll then take an in-depth hands on journey into Google CloudSQL and CloudSpanner, including choosing the right platform for your application needs, planning, provisioning, designing and developing your application. Sample applications are given that use Python to connect to CloudSQL and CloudSpanner, along with helpful features provided by the engines. You''ll also implement practical best practices in the last chapter. Hands On Google Cloud SQL and Cloud Spanner is a great starting point to apply GCP data offerings in your technology stack and the code used allows you to try out the examples and extend them in interesting ways. What You'll LearnGet started with Big Data technologies on the Google Cloud Platform Review CloudSQL and Cloud Spanner from basics to administrationApply best practices and use Google’s CloudSQL and CloudSpanner offeringWork with code in Python notebooks and scriptsWho This Book Is For Application architects, database architects, software developers, data engineers, cloud architects.

Download or read book Data and Databases written by Jonathan Rigdon and published by Freegulls Publishing House. This book was released on with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of two titles, which are the following: 1 - An introduction to databases involves understanding their role in storing, organizing, and managing data. Databases are structured collections of data that enable efficient retrieval, insertion, updating, and deletion of information. They serve as the foundation for various applications, from simple contact lists to complex enterprise systems. Key concepts include tables, which organize data into rows and columns; relationships, which define connections between tables; and SQL (Structured Query Language), used to interact with databases by querying and manipulating data. 2 - Operating systems (OS) are like the conductors of a digital orchestra, managing hardware resources, providing a user interface, and running applications. They handle tasks like memory management, process scheduling, and file management, ensuring smooth operation of a device. Different OS types, like Windows, macOS, Linux, and mobile OS like iOS and Android, cater to various devices and user needs. Understanding their role helps appreciate how our devices function seamlessly.

Download or read book Computer Science written by Jonathan Rigdon and published by Freegulls Publishing House. This book was released on with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines Computer Science: The Complete Guide to Principles and Informatics Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware Databases: System Concepts, Designs, Management, and Implementation Operating Systems: Concepts to Save Money, Time, and Frustration Website Development: Web Design Skills for Beginners