Cloud Computing: Computing as a Service Prof.

Transcript:Cloud Computing: Computing as a Service Prof.:
Cloud Computing: Computing as a Service Prof. Raffaele Montella, Ph.D. http://raffaelemontella.it raffaele.montella@uniparthenope.it Outline - Computing in the Cloud Introduction Computing as a service Virtualization and Containerization Advanced services Serverless computing Conclusion Introduction Infrastructure as a Service. Instant deployable computing power. There is no queue: the resources are allocated and consumed: More CPUs than in the user availability. Expensive high-end GPGPU devices. Diverse and different environments for product testing. Access computing power from anywhere, anytime, any device. Compute as a Service CPUs, RAM, storage, GPUs, FPGAs on demand Elasticity Scalability Pay as you go Compute as a Service Pay how much you can: make a bid Private clouds Public clouds Cloud burst Virtualization Computing on the cloud means not using servers directly. A virtual machine hosts an operating system. The custom software runs on this machine. A virtual machine is a software image of a complete machine that is loaded on the compute server. Virtualization The compute server runs a software component called “hypervisor”. The hypervisor grants the server resources to the virtual machines. Different operating systems are packed of the hypervisor. The computing servers are managed in a homogeneous way. Virtualization Components: Cloud Management System Fabric Controller Cloud Monitor An instance of a virtual machine is a running virtual machine started from its image. Virtualization Many instance of the same virtual machine on the same (or different server). Instance recovery in case of crash. Instance health. Instance load. Balance between costs and performance. Containers Are similar to virtual machines. Based on a different virtualization technology. Layered on top of the host operating system. Operating system level virtualization. Containers More effective, instant deployment. An application is packaged in a container. All dependencies are packaged. Atomic unit simple to manage. Containers Example: Container 1: web server Container 2: database server Persistent disk can be hosted on the physical machine. Example: Package: Sweep parameters application. Multiple containers’ instances with different parameters. Containers Lightweight. Applications start in an instant. A container shares libraries with other containers. On a given compute server: more containers less virtual machine instances Containers Packaging an application in a container is a simple task. Container definition script language. Requirements: Libraries Dependencies Source files Data The script runs on a laptop for testing and on a remote cloud compute server for production. Containers Containers are portable between different clouds. It is possible, but not really easy move virtual machine images from