- Users - libvirt List Archives

[libvirt-users] help to implement LXC terminal
by Fl＠sh 19 May '14

19 May '14

Hi, guys! I began to write qt-virt-manager (https://github.com/F1ash/qt-virt-manager) using libvirt API. I'm currently trying to implement a terminal for LXC-containers, but I do not have enough knowledge and experience. As I understand it, i must use virDomainOpenConsole, which binds virStream with working domain (Virtual Machine). But how to use this stream, I do not know ( I found qterminalwidget to implement the terminal, but I do not know how to tie them). Can anyone suggest how can I do? -- Fl@sh

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[libvirt-users] Invoking virsh console from Java
by Nagaraj Mandya 16 May '14

16 May '14

Hello, I have a Java application from which I am invoking the "virsh console" command to access the console of a VM. I invoke the virsh command using ProcessBuilder.start(). However, I am unable to communicate with the stdin of the VMs console through the OutputStream of the Process object. When I invoke "virsh console" from within Java, I see the following messages on stderr: info : libvirt version: 0.9.8 error : vshRunConsole:318 : unable to get tty attributes: Inappropriate ioctl for device Does anybody know how I can workaround this? Thanks. -- Regards, Nagaraj

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[libvirt-users] convert physical windows 8 machine to virtual machine
by arnaud gaboury 15 May '14

15 May '14

I dual boot w8 and Arch Linux. Both are on the same ssd drive (each OS have of course a partition). Now I would like to virtualize w8 and run it inside Arch Linux using KVM/QEMU and Libvirt. w8 has already been installed on a ntfs partition. As it is brand new, it will not be difficult to reinstall it on a image.raw I have been reading some articles and found myself a little bit confused. 1- Some articles point to driver issues on the windows size, which could lead to an unusable OS. Is this a real issue ? Workaround found is to uninstall IDE/SATA driver in w8 and then install general/universal driver. 2- I can of course copy my w8 partition to a image.raw in my second HD, then create the VM. But in this case, after time, I will not have the same w8 on my ssd and my VM. What I am looking for is a VM that will ever replicate w8 on ssd. In this case, I guess I need to reinstall w8 on a raw qemu-img then use this image for the VM. Am I correct ? Is there anyother solution ? Is it worth keeping the raw image on the ssd for better performance,or moving the image to the other HD will make no difference? 3- Most of the reading talk about virtualise a physical windows using Virtualbox or VMware, which I certainly don't want. I would appreciate any good pointer for the overall set-up. Thank you in advance for hints, tips and advices.

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[libvirt-users] aliases for graphic devices
by Francesco Romani 15 May '14

15 May '14

Hello, AFAIK, aliases cannot be set for Graphics devices. I tried this very simple experiment with libvirt 1.2.4 (from virt-preview on F20) relevant part of the input xml: <graphics type='spice' port='-1' autoport='yes' listen='127.0.0.1'> <listen type='address' address='127.0.0.1'/> <alias name='display.0'/> </graphics> <graphics type='vnc' port='-1' autoport='yes' listen='127.0.0.1'> <listen type='address' address='127.0.0.1'/> <alias name='display.1'/> </graphics> # virsh -c qemu:///system virsh # create testdom_spice_vnc_aliases.xml # see attachment Domain fedora19 created from testdom_spice_vnc_aliases.xml virsh # dumpxml fedora19 # only relevant part, see attachment for full output [...] <graphics type='spice' port='5900' autoport='yes' listen='127.0.0.1'> <listen type='address' address='127.0.0.1'/> </graphics> <graphics type='vnc' port='5901' autoport='yes' listen='127.0.0.1'> <listen type='address' address='127.0.0.1'/> </graphics> [...] So, are really aliases not allowed for the Graphics Devices or am I doing something wrong? If aliases aren't allowed, any plans to support them? Thanks and best regards, -- Francesco Romani RedHat Engineering Virtualization R & D Phone: 8261328 IRC: fromani

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[libvirt-users] Is there a way to get host uptime in remote libvirt
by coffeeball 14 May '14

14 May '14

We manage hypervisors (VMWare ESXi/vCenter, KVM, XEN, Hyper-V) by remote Libvirt API, in our case we need to get the host uptime via the same libvirt interface. Is there a way get this info now for all the aforementioned hypervisor types? The APIs virConnectGetSysinfo(), virNodeGetInfo() provide host info but it doesn't include the system uptime. The virNodeGetCPUStats() can returns CPU usage in nanosecond, can we add the user + system + idle + iowait to calculate the system uptime? Looks like the sum value has a huge gap with the real uptime value returned by "uptime" CLI. virsh # nodecpustats user: 2985046540000000 system: 1368209710000000 idle: 388018933920000000 iowait: 43371960000000

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[libvirt-users] strange and annoying messages from lib-virtd
by Pal, Laszlo 14 May '14

14 May '14

Hi, Since a few weeks I'm getting lot of messages in syslog in FC20 sent by libvirt. I've tried to find the reason using our best friend, but all I can find is some kind of bug related to CPU feature reporting. I'm not really interested what is the reason of the message (I'm sure it will be fixed in an upcoming release), but I would like to get rid of these annoying messages libvirtd[1319]: internal error: unable to execute QEMU command 'qom-get': guest hasn't updated any stats yet do you have any idea? Thank you L:

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[libvirt-users] [VHPC’14] LAST Call for Papers - Deadline in 4 weeks
by VHPC 14 12 May '14

12 May '14

================================================================= CALL FOR PAPERS 9th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '14) held in conjunction with Euro-Par 2014, August 25-29, Porto, Portugal (Springer LNCS) ================================================================= Date: August 26, 2014 Workshop URL: http://vhpc.org Paper Submission Deadline: June 9, 2014 (extended) Confirmed Keynote Speakers: Ron Brightwell, Sandia National Laboratory Hobbes: Using Virtualization to Enable Exascale Applications and Helge Meinhard, CERN CALL FOR PAPERS Virtualization technologies constitute a key enabling factor for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to dynamically manage complex infrastructures in a seamless fashion for varying workloads and hosted applications, independently of the customers deploying software or users submitting highly dynamic and heterogeneous workloads. Thanks to virtualization, we have the ability to manage vast computing and networking resources dynamically and close to the marginal cost of providing the services, which is unprecedented in the history of scientific and commercial computing. Various virtualization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple under-utilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization, with its capability to isolate multiple user-space environments and to allow for their co-existence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; I/O Virtualization allows physical NICs/HBAs to take traffic from multiple VMs; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology and IP addressing, provides the fundamental ground on top of which evolved network services can be realized with an unprecedented level of dynamicity and flexibility; the increasingly adopted paradigm of Software-Defined Networking (SDN) promises to extend this flexibility to the control and data planes of network paths. These technologies have to be inter-mixed and integrated in an intelligent way, to support workloads that are increasingly demanding in terms of absolute performance, responsiveness and interactivity, and have to respect well-specified Service- Level Agreements (SLAs), as needed for industrial-grade provided services. Indeed, among emerging and increasingly interesting application domains for virtualization, we can find big-data application workloads in cloud infrastructures, interactive and real-time multimedia services in the cloud, including real-time big-data streaming platforms such as used in real-time analytics supporting nowadays a plethora of application domains. Distributed cloud infrastructures promise to offer unprecedented responsiveness levels for hosted applications, but that is only possible if the underlying virtualization technologies can overcome most of the latency impairments typical of current virtualized infrastructures (e.g., far worse tail-latency). What is more, in data communications Network Function Virtualization (NFV) is becoming a key technology enabling a shift from supplying hardware-based network functions, to providing them in a software-based and elastic way. In conjunction with (public and private) cloud technologies, NFV may be used for constructing the foundation for cost-effective network functions that can easily and seamlessly adapt to demand, still keeping their major carrier-grade characteristics in terms of QoS and reliability. The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, and lightning talks, limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. TOPICS Topics of interest include, but are not limited to: - Management, deployment and monitoring of virtualized environments - Language-process virtual machines - Performance monitoring for virtualized/cloud workloads - Virtual machine monitor platforms - Topology management and optimization for distributed virtualized applications - Paravirtualized I/O - Improving I/O and network virtualization including use of RDMA, Infiniband, PCIe - Improving performance in VM access to GPUs, GPU clusters, GP-GPUs - HPC storage virtualization - Virtualized systems for big-data and analytics workloads - Optimizations and enhancements to OS virtualization support - Improving OS-level virtualization and its integration within cloud management - Performance modelling for virtualized/cloud applications - Heterogeneous virtualized environments - Parallel virtualized - virtualization aware file systems - Network virtualization - Software defined networking - Network function virtualization - Hypervisor and network virtualization QoS and SLAs - Cloudbursting - Evolved European grid architectures including such based on network virtualization - Workload characterization for VM-based environments - Optimized communication libraries/protocols in the cloud - System and process/bytecode VM convergence - Cloud frameworks and APIs - Checkpointing/migration of VM-based large compute jobs - Job scheduling/control/policy with VMs - Instrumentation interfaces and languages - VMM performance (auto-)tuning on various load types - Cloud reliability, fault-tolerance, and security - Research, industrial and educational use cases - Virtualization in cloud, cluster and grid environments - Cross-layer VM optimizations - Cloud HPC use cases including optimizations - Services in cloud HPC - Hypervisor extensions and tools for cluster and grid computing - Cluster provisioning in the cloud - Performance and cost modelling - Languages for describing highly-distributed compute jobs - VM cloud and cluster distribution algorithms, load balancing - Instrumentation interfaces and languages - Energy-aware virtualization Important Dates Rolling Paper registration June 9, 2014 - Full paper submission (extended) July 4, 2014 - Acceptance notification October 3, 2014 - Camera-ready version due August 26, 2014 - Workshop Date TPC CHAIR Michael Alexander (chair), TU Wien, Austria Anastassios Nanos (co-chair), NTUA, Greece Tommaso Cucinotta (co-chair), Bell Labs, Dublin, Ireland PROGRAM COMMITTEE Costas Bekas, IBM Jakob Blomer, CERN Roberto Canonico, University of Napoli Federico II, Italy Piero Castoldi, Sant'Anna School of Advanced Studies Paolo Costa, MS Research Cambridge, England Jorge Ejarque Artigas, Barcelona Supercomputing Center, Spain William Gardner, University of Guelph, USA Balazs Gerofi, University of Tokyo, Japan Krishna Kant, Temple University, USA Romeo Kinzler, IBM Nectarios Koziris, National Technical University of Athens, Greece Giuseppe Lettieri, University of Pisa, Italy Jean-Marc Menaud, Ecole des Mines de Nantes, France Christine Morin, INRIA, France Dimitrios Nikolopoulos, Queen's University of Belfast, UK Herbert Poetzl, VServer, Austria Luigi Rizzo, University of Pisa, Italy Josh Simons, VMware, USA Borja Sotomayor, University of Chicago, USA Vangelis Tasoulas, Simula Research Lab, Norway Yoshio Turner, HP Labs, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden Chao-Tung Yang, Tunghai University, Taiwan PAPER SUBMISSION-PUBLICATION Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, key words, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 point. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in the Springer LNCS series - the format must be according to the Springer LNCS Style. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Format Guidelines: http://www.springer.de/comp/lncs/authors.html EasyChair Abstract Submission Link: https://www.easychair.org/conferences/?conf=europar2014ws GENERAL INFORMATION The workshop is one day in length and will be held in conjunction with Euro-Par 2014, 25-29 August, Porto, Portugal

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[libvirt-users] [Solved]：LibvirtError: Operation not supported : JSON monitor is required
by xeon_feng 09 May '14

09 May '14

Hello everyone I have solved the problem(LibvirtError: Operation not supported : JSON monitor is required). yajl-devel package must be intalled before compile and install libvirt 1.2.4 ..... then rebuild and install libvirt-python 1.2.4 every thing is OK..... Hi Thanks for chenhanxiao(a)cn.fujitsu.com help , I have resole the problem (libvirt 1.2.4 and virt-manager 0.9.0 are not incompatible)..but when I created VM by virt-manager ,it reported : unable to complete install: 'Opertation not supported: JSON monitor is required.' Traceback(most recent call last): File "/usr/share/virt-manager/virtManager/asyncjob.py",line 44, in cb_wrapper callback(asyncjob, *args, **kwargs) ...... LibvirtError: Operation not supported : JSON monitor is required. what is wrong ? Please help me....... Tanks a lot .... Xeon.Feng last problem: libvirt 1.2.4 and virt-manager 0.9.0 are not incompatible """""""""" Hello everyone I encountered a problem when I completed the update of libvirt from 0.10 to 1.2.4 . The problem was that virt-manager(version 0.9.0) could not start and reported error : "ImportError: /usr/lib64/libvirt.so.0: version 'LIBVIRT_PRIVIATE_0.10.2' not found (required by /usr/lib64/python2.6/site-packages/libvirtmod.so)". I found the libvirt.so.0 link file just in the /usr/lib64/ directory , but it was linking to libvirt.so.0.1002.4 .not to the libvirt.so.0.10.2 I made libvirt.so.0 to link to libvirt.so.0.10.2 and restarted virt-manager , virt-manager started normally then restarted libvirtd failure, reporting error:l “ibvirtd: /usr/lib64/libvirt.so.0: version 'LIBVIRT_1.2.3' not found (require by libvirtd) .....” I made libvirt.so.0 to link to libvirt.so.0.1002.4 and restart libvirtd , libvirtd started normally again. Please help me to resolve the problem and give me some advise.... Thanks a lot.. Xeon.Feng """""""

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[libvirt-users] Is tunnelled "managed direct" live migration actually possible?
by Richard W.M. Jones 09 May '14

09 May '14

I have three servers set up as in this diagram: http://libvirt.org/migration.html#flowmanageddirect My control application has separate libvirt connections to both the source and destination nodes. I want to migrate entirely over those connections, not involving any third (peer-to-peer) connection between nodes (a third connection isn't possible because of firewalls and SSH keys). Is this actually possible? I've been playing with the API and reading docs, and it seems like "direct managed" migration is simply not possible :-( dom.migrate (dconn, libvirt.VIR_MIGRATE_LIVE|libvirt.VIR_MIGRATE_TUNNELLED) libvirt.libvirtError: Requested operation is not valid: cannot perform tunnelled migration without using peer2peer flag Rich. -- Richard Jones, Virtualization Group, Red Hat http://people.redhat.com/~rjones Read my programming and virtualization blog: http://rwmj.wordpress.com virt-top is 'top' for virtual machines. Tiny program with many powerful monitoring features, net stats, disk stats, logging, etc. http://people.redhat.com/~rjones/virt-top

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[libvirt-users] snapshot-current vs snapshot-revert
by bitozoid 08 May '14

08 May '14

If I want to go back to a snapshot, what is the difference between snapshot-current and snapshot-revert? What happens to disk sectors of the current state when reverting to another snapshot? I'm using qemu qcow2.

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