http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Impacts and challenges of cloud business intelligence
Section 1. Impact of cloud business intelligence. Chapter 1. A review of trust and security concerns in cloud computing adoption intention in the higher education sector: research in progress ; Chapter 2. Impact of COVID-19 on cloud business intelligence ; Chapter 3. Job scheduling in cloud using seagull optimization algorithm ; Chapter 4. Integrating business intelligence with cloud computing -- Section 2. Cloud governance and big data: a case study. Chapter 5. Cloud governance: how cloud ML is mobilizing some educational software by governance and computation ; Chapter 6. Master data-supply chain management, the key lever for collaborative and compliant partnerships in big data era: marketing/sales case study ; Chapter 7. Web usage mining issues in big data: challenges and opportunities ; Chapter 8. A novel resource allocation and scheduling based on priority using metaheuristic for cloud computing environment -- Section 3. Metaheuristic approach and cloud security. Chapter 9. Task scheduling in cloud computing using spotted hyena optimizer ; Chapter 10. Impacts and challenges of cost-effective approaches using hybrid cloud infrastructure model in business analytics ; Chapter 11. A study of security challenges from a federeated cloud perspective -- Section 4. Energy and scheduling optimization. Chapter 12. A decadal walkthrough on energy modelling for cloud datacenters ; Chapter 13. Migrating complex applications from on-premises to cloud interface: cloud migration ; Chapter 14. Future of business intelligence in cloud computing.
[edited by] Shadi Aljawarneh, Manisha Malhotra.
Includes bibliographical references and index.
Hershey, PA : Business Science Reference, [2021]
Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series