Xen and the Art of Virtualization CSE-291 (Cloud Computing) Fall 2016

23 Slides1.43 MB

Xen and the Art of Virtualization CSE-291 (Cloud Computing) Fall 2016

Why Virtualization? Share resources among many uses Allow heterogeneity in environments Allow differences in host and guest Provide a mechanism for migration, checkpointing, etc Recovery, maintenance Provide for elasticity

Challenges to Virtualization Isolation Performance w.r.t. resource sharing (CPU, memory, network, disk) Protection w.r.t. resource use Support multiple operating systems Minimal performance penalty

Granularity Multiplex processes Finely grained, but forces symmetric execution environment Multiplex OSes Allows heterogeneous environments High overhead of OS, runtime wastage and start-up latency

Full Virtualization Can be expensive Time might not be a resource that it is desirable to virtualize Timeouts, etc Real network addresses allow better integration with real-world Much easier with hardware support

Paravirtualization “Good enough” virtualization Very similar to fully virtualized machine, but some differences that can be leveraged by knowledgeable OS OS needs to be tweaked Apps do not need to be changed

Xen Design Principles 1. Support for unmodified application binaries is essential, or users will not transition to Xen. Hence we must virtualize all architectural features required by existing standard ABIs. 2. Supporting full multi-application operating systems is important, as this allows complex server configurations to be virtualized within a single guest OS instance. 3. Paravirtualization is necessary to obtain high performance and strong resource isolation on uncooperative machine architectures such as x86. 4. Even on cooperative machine architectures, completely hiding the effects of resource virtualization from guest OSes risks both correctness and performance

Memory Management: Hardware Support Hardware Support: Software Managed TLB (Not available on x86) Easiest option Not available on x86 Hardware Support: Tagged TLB (Not available on x86) Use one tag per address space Also a good option x86 Hardware managed page table Flushed upon context switch

Virtualizing Memory Management On x86 Implication: All valid page translations must be in page table Guest OSes allocate and manage page tables Xen needs to be mapped into all address spaces, so entering and leaving it doesn’t require a flush or load. But protected from Guest OS Guest OS allocates pages from own memory, but asks Xen to map it Xen can validate/protect page tables OS can batch updates for performance (amortize hypervisor overhead)

Virtualizing CPU: Privlege In model with only two privilege levels, hypervisor would need to be at OS’s normal level of privilege OS would need to run at app level, in its own context Hypervisor would need to handle transitions, setting page tables, etc Insert whole discussion about TLBs here X86 supports 4 privilege levels (“rings”) 0 normally for OS, 3 normally for apps With Xen, Xen uses Ring-0, OS uses Ring-1 Isolates OS from Apps Ensures only Xen can run privileged instructions

Virtualizing CPU: Privileged Instructions Paravirtualized Instructions Validated and executed within Xen (Ring-0) Processor fails or faults attempts other than from Ring-0 Guest OS can’t directly execute Exceptions (Faults, Traps, etc) Handled by Xen, which copies exception frame to Guest OS Adjustment needed for page fault handler, since OS can’t read address from CR2 register Xen copies to an extended stack frame. OS Needs to be modified to look there.

SysCalls and Page Faults Common enough to affect performance Syscalls Guests register “fast interrupt handler” (top half) Validated by Xen for install Page Faults Can’t be optimized. Address is in CR2 and needs to be propagated by Xen

Device I/O Fully abstracted by Xen Simple interface Shared memory ring-buffers Callbacks via bit-maps replace interrupts Xen flips bit and calling Guest OS event handler Can also be blocked by OS

The Paravirtualized X86 Interface

Overall Structure

Control and Management Separation of Policy and Mechanism Xen exports interfaces Domain-0 created at boot time Able to create new domains Creates and deletes virtual network and block devices and associated access controls Manages the resources associated with each domain Guest OSes use interfaces to manage resources Exports application management interface Manage all of the resources

Hypercalls and Events Hypercall Synchronous calls from domain into Xen Basically a trap into the hypervisor, e.g. to request page table updates Events Notifications to domain from Xen, e.g. to replace interrupts Per domain bitmask is updated, followed by notification

Data Transfer: I/O Rings Circular ring Allocated by domain Accessible by Xen 2 pairs of producerconsumer pointers

CPU Scheduling Schedule domains via Borrowed Virtual Time (BVT) Balances context switches, dispatch time, and fairness Borrows from future time to allow warm threads to favor recently woken domains

Time and Timers Real time Seconds since machine’s boot to the accuracy of processor’s cycle counter Virtual time Advances only when VM is running Wall-clock time Real time plus offset Allows adjustment to real-time, without messing it up

Physical Memory Memory is statically partitioned to domains Memory can later be released Virtualized physical pages need to be mapped to physical pages for page tables Xen provides this via a globally readable array Can also be used to optimize for cache locality, etc.

Network Provides Virtual Firewall Router (VFR) Each domain has one or more Virtual Network Interfaces (VIF) attached to VFR Each VIF has two rings of buffer descriptors: transmit and receive Rules managed by Domain-0 Transmit: Enqueue packet descriptor Packet payload via scatter-gather DMA Simple round-robin packet scheduler Receive: Exchange packet-buffer for empty frame on ring

Disk Only Domain-0 can access the actual disks Disks are represented as Virtual Block Devices (VBDs) Translation table from VBD offset to physical offset VBDs keep extents and access control information Guest scheduler may order requests going onto ring Xen can reorder after that, knowing more about storage Requests from competing domains are batched and round-robin scheduled Fairness, but minimize overhead Domains can specify reorder barriers to preserve higher-level semantics, e.g write-ahead log

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