Advanced Computing Models: Virtualization Cloud & Mobile Computing

Foundation Upper

Lectures

4 hrs/wk

Lab

0 hrs/wk

Language

English

Delivery

In person

Self-study

45.5 hrs

PREREQUISITES

Platform Technologies Advance Programming (Java or Python) Information Systems

Course Content

1. Θεμέλια Virtualization 2. Αρχιτεκτονικές Cloud, Διαχείριση Multi-Cloud & Cost Governance 3. Κατανεμημένα Συστήματα & Data-Intensive Εφαρμογές 4. Mobile & Pervasive Computing 5. Ασφάλεια, Εμπιστοσύνη, Compliance & Data Sovereignty 6. Μελλοντικές Τάσεις & AI-Driven Υποδομές

Learning Outcomes

Upon successful completion of this course, students will be able to: Design and manage scalable multi-cloud architectures, implementing resource optimization and cost governance strategies. Develop data-intensive applications, with a deep understanding of distributed systems, serverless models, and parallel processing frameworks. Optimize computing workloads in mobile and edge computing environments, effectively managing limited device resources and data transfer. Implement modern security models (e.g. Zero Trust) in multi-tenant infrastructures, ensuring strict compliance and data sovereignty according to international standards. Evaluate and integrate future technologies, using AI-driven approaches (AIOps) to automate and solve problems in complex systems.