Offering fundamental computing resources like virtual machines and storage (e.g., Amazon EC2). Why Buyya’s Principles Matter in 2021 and Beyond
: Provides virtualized hardware resources like machines, storage, and networks. Users manage the operating systems and applications (e.g., Amazon EC2 Platform as a Service (PaaS)
Professor Buyya and his team (GRIDS Lab, University of Melbourne) frequently publish their teaching materials online.
IaaS delivers fundamental computing infrastructure over the internet. Providers supply raw virtual machines, physical servers, storage blocks, and networking fabrics.
Amazon EC2, Google Compute Engine (GCE), Microsoft Azure VMs. Platform as a Service (PaaS) Platform as a Service (PaaS) Provides a cloud
Provides a cloud environment containing everything required to support the complete lifecycle of building and delivering web-based (cloud) applications. (Examples: AWS Elastic Beanstalk, Heroku).
+----------------------------------+ | Applications | +----------------------------------+ | Operating System | +----------------------------------+ | Hypervisor (VMM) / Xen, KVM | +----------------------------------+ | Physical Hardware | +----------------------------------+ Hypervisors and Virtual Machine Monitors (VMM)
Rajkumar Buyya identifies the following cloud computing paradigms:
As Internet of Things (IoT) devices continue to multiply, transferring petabytes of raw data to a centralized cloud data center introduces massive network latency. Edge and Fog computing paradigms push computational power, data filtering, and real-time decision-making closer to the physical site of data generation (e.g., smart vehicles, medical monitors), utilizing the cloud as a central management layer rather than a primary processor. 6. Key Challenges and Future Horizons Google Compute Engine
Despite its massive adoption, cloud computing continues to face complex research and engineering challenges that dominate modern academic discourse:
(Security, data privacy, energy efficiency, Edge/Fog integration)
Virtualization allows workloads to be completely detached from specific physical server boundaries, facilitating seamless migration, backups, and disaster recovery.
High resource utilization, rapid provisioning, isolated environments for enhanced security, and seamless hardware maintenance without downtime. Elasticity and On-Demand Scaling The Classic Paradigms (IaaS
Buyya’s 2021 presentations and updated research (often found in his "Mastering Cloud Computing" context) emphasize a shift from centralized data centers to a more distributed model. A. The Classic Paradigms (IaaS, PaaS, SaaS) While foundational, these models continue to evolve:
A deployment environment without the hassle of managing underlying hardware and OS software.
: Buyya defines it as an interconnected, virtualized pool of resources (computing, storage, network) that can be dynamically provisioned on-demand with minimal management effort. Core Service Models (SPI Model)
Consumers can provision computing capabilities, such as server time and network storage, automatically without requiring human interaction with the service provider.
Amazon EC2, Google Compute Engine, Microsoft Azure VMs. Platform as a Service (PaaS)