skip to main content
10.1145/3134302.3134313acmotherconferencesArticle/Chapter ViewAbstractPublication PagescompsystechConference Proceedingsconference-collections
research-article

A System for Website Data Management in a Website Building System

Published:23 June 2017Publication History

ABSTRACT

A system for website data management in a website building system, implemented on a server, the server having at least one processor and a memory, including a database management system, dynamic data version mapping system, dependency manager system and a website versioning system. The paper describes a system used by a website building system for managing the data structures which represent a website, being built by a user. The paper describes methods for optimized website data manipulations and suggests data structure abstractions for optimal operations of a website building system.

References

  1. M. Kapuruge. Service Orchestration as Organization: Building Multi-Tenant Service Applications in the Cloud - Morgan Kaufmann, 2014 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Dimitrov D. Standardization based on multiwebsite system integration --International Science and Technology Conference, Dubai, 2012.Google ScholarGoogle Scholar
  3. V. Mayer-Schönberger. Big Data: A Revolution That Will Transform How We Live, Work, and Think - Eamon Dolan/Mariner Books, 2014 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. R. Ben-Aharon, N. Abraham!. System and method for the creation and use of visually-diverse high-quality dynamic visual data structures, US 2016/0357527 A1 - United States Patent Application Publication, 2016.Google ScholarGoogle Scholar
  5. A. Geva, O. Gartzman, G. Kaplan. System and method for the generation of an adaptive user interface in a website building system, US 2016/0357527 A1 - United States Patent Application Publication, 2016.Google ScholarGoogle Scholar
  6. M. Lanthaler. On Using JSON-LD to Create Evolvable RESTful Service -- ACM Digital Library, 2012Google ScholarGoogle Scholar
  7. D. Vohra. Pro MongoDB Development -- Apress, 2015 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. H. Hasija, D. Kumar. Compression & Security in MongoDB without affecting Efficiency - ACM Digital Library, 2016Google ScholarGoogle Scholar
  9. V. Bojinov. RESTful Web API Design with Node. JS - Packt Publishing, 2016Google ScholarGoogle Scholar
  10. T. Jungnickel, T. Herb. Simultaneous Editing of JSON Objects via Operational Transformation, ACM Digital Library, 2016Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Z. Liu, B. Hammerschmidt. JSON Data Management -- Supporting Schema-less Development in RDBMS, 2014Google ScholarGoogle Scholar
  12. M. Lanthaler, C. Gütl. Model Your Application Domain, Not Your JSON Structures-ACM Digital Library, 2013Google ScholarGoogle Scholar
  13. Adi Omari, S. Shoham. Lossless Separation of Web Pages into Layout Code and Data, ACM Digital Library, 2016Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. A. Fox, D. Patterson. Engineering Software as a Service: An Agile Approach Using Cloud Computing - Strawberry Canyon, 2013Google ScholarGoogle Scholar
  15. A. Kurniawan. Object-Relational Mapping (ORM): MongoDB, Mongoosejs and Node.js - PE Press, 2012Google ScholarGoogle Scholar
  16. Doctrine Project Organization. Blending the ORM and MongoDB ODM - http://docs.doctrine-project.org/projects/doctrine-mongodbodm/en/latest/cookbook/blending-orm-and-mongodb-odm.html, 2014Google ScholarGoogle Scholar
  17. Doctrine Project Organization. http://www.doctrine-project.org/Google ScholarGoogle Scholar
  18. D. Laney. 3D data management: Controlling data volume, velocity, and variety - META Group, 2001Google ScholarGoogle Scholar
  19. Enterprise Architect. "The 5 V's of Big Data" http://enterprisearchitects.com/the-5v-s-of-big-data/Google ScholarGoogle Scholar
  20. M. Scavuzzo, D. Tamburri. Providing Big Data Applications with Fault-Tolerant Data Migration Across Heterogeneous NoSQL Databases, 2016Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. S. Scherzinger, M. Klettke, Managing Schema Evolution in NoSQL Data Stores - DBPL'13, 2013Google ScholarGoogle Scholar
  22. S. Scherzinger, U. Störl, M. Klettke. A Datalog-Based Protocol for Lazy Data Migration in Agile NoSQL Application Development - ACM Digital Library, 2015Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    CompSysTech '17: Proceedings of the 18th International Conference on Computer Systems and Technologies
    June 2017
    358 pages
    ISBN:9781450352345
    DOI:10.1145/3134302

    Copyright © 2017 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 23 June 2017

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

    Acceptance Rates

    CompSysTech '17 Paper Acceptance Rate42of107submissions,39%Overall Acceptance Rate241of492submissions,49%
  • Article Metrics

    • Downloads (Last 12 months)10
    • Downloads (Last 6 weeks)0

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader