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NoHype: Virtualized Cloud Infrastructure without the Virtualization Eric Keller, Jakub Szefer, Jennifer Rexford, Ruby Lee ISCA 2010 Princeton University.

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Presentation on theme: "NoHype: Virtualized Cloud Infrastructure without the Virtualization Eric Keller, Jakub Szefer, Jennifer Rexford, Ruby Lee ISCA 2010 Princeton University."— Presentation transcript:

1 NoHype: Virtualized Cloud Infrastructure without the Virtualization Eric Keller, Jakub Szefer, Jennifer Rexford, Ruby Lee ISCA 2010 Princeton University Slides taken from: http://www.cs.princeton.edu/~jrex/talks/isca10.pptx

2 Virtualized Cloud Infrastructure Run virtual machines on a hosted infrastructure Benefits… –Economies of scale –Dynamically scale (pay for what you use)

3 Without the Virtualization Virtualization used to share servers –Software layer running under each virtual machine 3 Physical Hardware Hypervisor OS Apps Guest VM1Guest VM2 servers

4 Without the Virtualization Virtualization used to share servers –Software layer running under each virtual machine Malicious software can run on the same server –Attack hypervisor –Access/Obstruct other VMs 4 Physical Hardware Hypervisor OS Apps Guest VM1Guest VM2 servers

5 Are these vulnerabilities imagined? No headlines… doesn’t mean it’s not real –Not enticing enough to hackers yet? (small market size, lack of confidential data) Virtualization layer huge and growing –100 Thousand lines of code in hypervisor –1 Million lines in privileged virtual machine Derived from existing operating systems –Which have security holes 5

6 NoHype NoHype removes the hypervisor –There’s nothing to attack –Complete systems solution –Still retains the needs of a virtualized cloud infrastructure 6 Physical Hardware OS Apps Guest VM1Guest VM2 No hypervisor

7 Virtualization in the Cloud Why does a cloud infrastructure use virtualization? –To support dynamically starting/stopping VMs –To allow servers to be shared (multi-tenancy) Do not need full power of modern hypervisors –Emulating diverse (potentially older) hardware –Maximizing server consolidation 7

8 Roles of the Hypervisor Isolating/Emulating resources –CPU: Scheduling virtual machines –Memory: Managing memory –I/O: Emulating I/O devices Networking Managing virtual machines 8

9 Roles of the Hypervisor Isolating/Emulating resources –CPU: Scheduling virtual machines –Memory: Managing memory –I/O: Emulating I/O devices Networking Managing virtual machines 9 Push to HW / Pre-allocation

10 Roles of the Hypervisor Isolating/Emulating resources –CPU: Scheduling virtual machines –Memory: Managing memory –I/O: Emulating I/O devices Networking Managing virtual machines 10 Push to HW / Pre-allocation Remove

11 Roles of the Hypervisor Isolating/Emulating resources –CPU: Scheduling virtual machines –Memory: Managing memory –I/O: Emulating I/O devices Networking Managing virtual machines 11 Push to HW / Pre-allocation Remove Push to side

12 Roles of the Hypervisor Isolating/Emulating resources –CPU: Scheduling virtual machines –Memory: Managing memory –I/O: Emulating I/O devices Networking Managing virtual machines 12 Push to HW / Pre-allocation Remove Push to side NoHype has a double meaning… “no hype”

13 Scheduling Virtual Machines Scheduler called each time hypervisor runs (periodically, I/O events, etc.) –Chooses what to run next on given core –Balances load across cores 13 hypervisor timer switch I/O switch timer switch VMs time Today

14 Dedicate a core to a single VM Ride the multi-core trend –1 core on 128-core device is ~0.8% of the processor Cloud computing is pay-per-use –During high demand, spawn more VMs –During low demand, kill some VMs –Customer maximizing each VMs work, which minimizes opportunity for over-subscription 14 NoHype

15 Managing Memory Goal: system-wide optimal usage –i.e., maximize server consolidation Hypervisor controls allocation of physical memory 15 Today

16 Pre-allocate Memory In cloud computing: charged per unit –e.g., VM with 2GB memory Pre-allocate a fixed amount of memory –Memory is fixed and guaranteed –Guest VM manages its own physical memory (deciding what pages to swap to disk) Processor support for enforcing: –allocation and bus utilization 16 NoHype

17 Emulate I/O Devices Guest sees virtual devices –Access to a device’s memory range traps to hypervisor –Hypervisor handles interrupts –Privileged VM emulates devices and performs I/O 17 Physical Hardware Hypervisor OS Apps Guest VM1Guest VM2 Real Drivers Priv. VM Device Emulation trap hypercall Today

18 Guest sees virtual devices –Access to a device’s memory range traps to hypervisor –Hypervisor handles interrupts –Privileged VM emulates devices and performs I/O Emulate I/O Devices 18 Physical Hardware Hypervisor OS Apps Guest VM1Guest VM2 Real Drivers Priv. VM Device Emulation trap hypercall Today

19 Dedicate Devices to a VM In cloud computing, only networking and storage Static memory partitioning for enforcing access –Processor (for to device), IOMMU (for from device) 19 Physical Hardware OS Apps Guest VM1Guest VM2 NoHype

20 Virtualize the Devices Per-VM physical device doesn’t scale Multiple queues on device –Multiple memory ranges mapping to different queues 20 ProcessorChipset Memory Classify MUX MAC/PHY Network Card Peripheral bus NoHype PCI-SIG Standard SR-IOV (Single Root-IO Virt.)

21 Ethernet switches connect servers Networking 21 server Today

22 Software Ethernet switches connect VMs Networking (in virtualized server) 22 Virtual server Software Virtual switch Today

23 Software Ethernet switches connect VMs Networking (in virtualized server) 23 OS Apps Guest VM1 Hypervisor OS Apps Guest VM2 hypervisor Today

24 Software Ethernet switches connect VMs Networking (in virtualized server) 24 OS Apps Guest VM1 Hypervisor OS Apps Guest VM2 Software Switch Priv. VM Today

25 Do Networking in the Network Co-located VMs communicate through software –Performance penalty for not co-located VMs –Special case in cloud computing –Artifact of going through hypervisor anyway Instead: utilize hardware switches in the network –Modification to support hairpin turnaround 25 NoHype

26 Managing Virtual Machines Allowing a customer to start and stop VMs 26 Wide Area Network Request: Start VM Cloud Customer Cloud Provider Today

27 Managing Virtual Machines Allowing a customer to start and stop VMs 27 Wide Area Network Servers Request: Start VM Cloud Customer Cloud Provider...... VM images Cloud Manager Request: Start VM Today

28 Hypervisor’s Role in Management Run as application in privileged VM 28 Physical Hardware Hypervisor Priv. VM VM Mgmt. Today

29 Hypervisor’s Role in Management Receive request from cloud manager 29 Physical Hardware Hypervisor Priv. VM VM Mgmt. Today

30 Hypervisor’s Role in Management Form request to hypervisor 30 Physical Hardware Hypervisor Priv. VM VM Mgmt. Today

31 Hypervisor’s Role in Management Launch VM 31 Physical Hardware Hypervisor Priv. VM VM Mgmt. OS Apps Guest VM1 Today

32 Decouple Management And Operation System manager runs on its own core 32 Core 0 System Manager Core 1 NoHype

33 Decouple Management And Operation System manager runs on its own core Sends an IPI to start/stop a VM 33 Core 0 System Manager Core 1 IPI NoHype

34 Decouple Management And Operation System manager runs on its own core Sends an IPI to start/stop a VM Core manager sets up core, launches VM –Not run again until VM is killed 34 Core 0 System Manager Core 1 Core Manager OS Apps Guest VM2 IPI NoHype

35 Removing the Hypervisor Summary Scheduling virtual machines –One VM per core Managing memory –Pre-allocate memory with processor support Emulating I/O devices –Direct access to virtualized devices Networking –Utilize hardware Ethernet switches Managing virtual machines –Decouple the management from operation 35

36 Security Benefits Confidentiality/Integrity of data Availability Side channels 36

37 Security Benefits Confidentiality/Integrity of data Availability Side channels 37

38 Confidentiality/Integrity of Data 38 Requires access to the data System manager can alter memory access rules –But, guest VMs do not interact with the system manager With hypervisorNoHype Registers upon VM exitNo scheduling Packets sent through software switch No software switch Memory accessible by hypervisor No hypervisor

39 NoHype Double Meaning Means no hypervisor, also means “no hype” Multi-core processors –Available now Extended (Nested) Page Tables –Available now SR-IOV and Directed I/O (VT-d) –Network cards now, Storage devices near future Virtual Ethernet Port Aggregator (VEPA) –Next-generation switches 39

40 Conclusions and Future Work Trend towards hosted and shared infrastructures Significant security issue threatens adoption NoHype solves this by removing the hypervisor Performance improvement is a side benefit Future work: –Implement on current hardware –Assess needs for future processors 40

41 Questions? Contact info: ekeller@princeton.edu http://www.princeton.edu/~ekeller szefer@princeton.edu http://www.princeton.edu/~szefer 41


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