Alex Fishman - Virtualizing the Cloud
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Ravello Labs provides a solution called HVX that allows users to build a private cloud using public cloud infrastructure in an elastic way. HVX is a nested hypervisor that can run on any public cloud and supports running unmodified guest VMs. It implements its own virtual hardware and allows an OpenStack deployment to manage a private cloud consisting of OpenStack compute nodes running as VMs on public clouds. This provides an elastic private cloud that can scale on demand across different public cloud providers without being locked into a single one.
Alex Fishman - Virtualizing the Cloud
- 1. Ravello Labs Virtualizing the cloud Alex Fishman, 05.27.13 http://www.ravellosystems.com
- 2. Challenge How to build a truly elastic private cloud?
- 3. Strategies for building a private cloud ➜ Build a data center to accommodate peaks › Expensive to build and maintain › Not efficient because of resource under-utilization › Not truly elastic ➜ VPC on a public cloud (Amazon VPC, Rackspace private cloud) › Can’t run original VM images › Network configuration is limited › Lock in to a specific provider › Perceptually less secure ➜ Build a hybrid cloud › Mostly a hype at this moment 3
- 4. How to achieve elasticity 4 The only way to build a truly elastic private cloud is to utilize public cloud infrastructure
- 5. Challenges of using public cloud ➜ Incompatible APIs › EC2, OpenStack flavors, Azure ➜ Different virtualization technologies › PV vs HVM › Virtual HW exposed to VM ➜ Network topology › Vary from provider to provider › Often rigid and inflexible ➜ Storage › Incompatible solutions 5
- 6. Imagine an OpenStack managing a private cloud built on top of public cloud infrastructure… ➜ Building blocks of our OpenStack private cloud › OpenStack compute nodes on public cloud VMs › Quantum L2 overlay on top of a cloud provider’s network › Abstraction for Cinder, Glance and Swift 6 Sounds easy… But how do you run an OpenStack compute node on top of a VM? Public Cloud A Public Cloud B Compute nodes Compute nodes Network and Storage
- 7. The answer: nested virtualization ➜ HVX is a high performance nested hypervisor › Can run on top of any hypervisor › Runs unmodified guest VMs › Supports PV and HVM for bottom virtualization layer ➜ Implements its own set of virtual hardware › Compatible with KVM, ESX, XEN HVX architecture 7 Unmodified guest VM Guest VM hardware HVX hypervisor Linux Cloud VM hardware Cloud VM
- 8. HVX highlights ➜ High performance › Benchmarks were run with Phoronix test suite ➜ Advanced memory management › Allows cpu/memory overcommit by utilizing KSM (page sharing) and swap 8
- 9. HVX implementation details ➜ Employs binary translation technique › Translates guest binary code into platform compatible code › 32bit guest into 64 bit host › Replaces privileged instructions › CPU registers are shadowed ➜ Performance optimizations › Translated code is cached and chained › Fast shadow MMU implementation › Direct execution or user space code (Ring 3) › PV device implementation for fast IO › Fast context switching between guest and host kernel › Uses Linux for guest CPU scheduling and memory management ➜ Memory protection and data isolation › Each guest runs in its own context and cannot access hvx or host memory › Guest resource usage (CPU/IO) can be throttled if needed 9 .. 9 Instruction Instruction Instruction …. Jump to next Tc Instruction Tc Instruction Tc Instruction …. Jump to HVX Original guest code Translated guest code Next: Instruction Instruction Instruction …. Instruction Next TC: Tc Instruction Tc Instruction Tc Instruction …. Jump to HVX HVX compiles next code section • HVX reads and compiles a guest code section. It then gets executed. • At the end of each translated code section there is a jump back to HVX and the process repeats
- 10. Combining OpenStack with HVX 10 Build a fully elastic “virtual” private cloud built on top of any public cloud provider Added bonus: get a truly hybrid cloud by adding compute nodes that run on top of “real” hardware in a private data center
- 11. Use cases ➜ Cost savings for existing cloud users › EC2 cr1.8xlarge: 244GB, 32 vcpus – $3.5 per hour. When running 100 VMs: 0.035$ per VM per hour. ➜ Dev/Test › Deploy and provision a “virtual” private data center in a matter of minutes ➜ DR › Migrate easily between clouds ➜ Cloud burst: › Add a new hardware when demand for computing capacity spikes 11
- 12. OpenStack demo ➜ Configuration: › EC2 VM running a management node › EC2 VM (m3.4xlarge, 4 cpus, 16GB ram) as a compute node 1 › HPCloud VM (4 cpus, 16 Gb RAM) as a compute node 2 ➜ Live migration of a guest VM running on HPCloud compute node to EC2 compute node 12