Abstract

E-governance data management is defined as managing data involved in the adoption of Information Technology to support governance processes, functions, and activities. While various studies have proposed models, frameworks, and best practices for public e-governance data management, Data e-Governance policies and guidelines in many countries focus on the storage and establishment of standards. Cloud Computing technology has enormous potential opportunities for e-governance data management, with recent observations identifying the need for more taxonomies that consider Data Management Security, Privacy, and Regulatory Compliance in the Cloud. The literature reflects Interest in Distributed Architecture Patterns,Private Cloud Models,Data Sharing Improve Security and Management Capabilities Open Data Privacy Function on Public Cloud Characteristics. Nevertheless, open and scalable patterns for Cloud Computing in Data Management remain to be explored. Scalability is a crucial aspect in the Data Management domain. Many solutions focus on Patterns for the Data Management aspect but overlook the patterns for scalability. A practical focus on E-Governance for Cloud Computing requires Development of Open, Scalable Production-Ready Patterns considering the Data Management Component. It is essential to provide E-Governance and Data Management stakeholders, Cloud Technology End-users, Cloud Computing pattern providers, and Cloud computing Infrastructure vendors with the capability to develop use cases focused on open and scalable Cloud Computing solutions considering these two components. SSCM provides patterns to consider E-Governance objectives and Data Management priorities and represents relevant Capex or Opex Economic Aspects. The seven aspects and associated transitions enable the implementation of more affordable, managed, secured, privacy-respected, and compliant Cloud Computing Cloud solutions. These frequent transitions lead to a better management of the Data Governance Environment, with secondary benefits to the control of the Cost Involved in Cloud Computing Data Management and, consequently, Total Cost of Ownership (TCO).

Keywords

  • Scalable cloud architecture
  • E-governance data management
  • Cloud service models IaaS
  • PaaS
  • SaaS
  • Hybri

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