In this episode we talk with Doug Simon from Sun Microsystems Laboratories about the Maxine Research VM, a so-called meta-circular virtual machine. Maxine is a JVM that is written itself in Java, but aims at taking JVM development to the next level while using highly integrated Java IDEs as development environments and running and debugging the VM itself directly from the Inspector, an IDE-like tool specialized for the Maxine VM. During the episode we talk about the basic ideas behind Maxine, what exactly "meta-circular" means and what makes it interesting and promising to build a Java VM in Java. We talk about the relationship to Sun's current production JVM (HotSpot) and about ideas and directions for the future of Maxine.

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Facebook Software Engineer and HipHop for PHP team member Jason Evans provides details on Facebook’s move to a new high-performance PHP virtual machine. Described by Evans is ”a new PHP execution engine based on the HipHop language runtime that we call the HipHop Virtual Machine (hhvm).” He sees it as replacement for the HipHop PHP Read the rest...

A cloud system may create physical resource tags to store relationships between cloud computing offerings, such as computing service offerings, storage offerings, and network offerings, and the specific physical resources in the cloud computing environment. Cloud computing offerings may be presented to cloud customers, the offerings corresponding to various combinations of computing services, storage, networking, and other hardware or software resources. After a customer selects one or more cloud computing offerings, a cloud resource manager or other component within the cloud infrastructure may retrieve a set of tags and determine a set of physical hardware resources associated with the selected offerings. The physical hardware resources associated with the selected offerings may be subsequently used to provision and create the new virtual machine and its operating environment.

A system, method and computer program product for allocating shared resources. Upon receiving requests for resources, the cost of bundling software in a virtual machine (VM) image is automatically generated. Software is selected by the cost for each bundle according to the time required to install it where required, offset by the time to uninstall it where not required. A number of VM images having the highest software bundle value (i.e., highest cost bundled) is selected and stored, e.g., in a machine image store. With subsequent requests for resources, VMs may be instantiated from one or more stored VM images and, further, stored images may be updated selectively updated with new images.

A server computer system determines that configuring a first virtual machine in a cloud depends on a configuration result of configuring a second virtual machine. The server computer system configures the second virtual machine in the cloud and configures the first virtual machine in the cloud using the configuration result of the second virtual machine.

A system and method for reconfiguring a computing environment comprising a consumption analysis server, a placement server, an infrastructure management client and a data warehouse in communication with a set of data collection agents and a database. The consumption analysis server operates on measured resource utilization data to yield a set of resource consumptions in regularized time blocks, collects host and virtual machine configurations from the computing environment and determines available capacity for a set of target hosts. The placement server assigns a set of target virtual machines to the target set of hosts in a new placement. In one mode of operation the new placement is nearly optimal. In another mode of operation, the new placement is “good enough” to achieve a threshold score based on an objective function of resource capacity headroom. The new placement is implemented in the computing environment.

A computing system includes a parent partition, child partitions, a hypervisor, shared memories each associated with one of the child partitions, and trigger pages each associated with one of the child partitions. The hypervisor receives a system event signal from one of the child partitions and, in response to receiving the system event signal, accesses the trigger page associated with that child partition. The hypervisor determines whether the trigger page indicates whether data is available to be read from the shared memory associated with the child partition. The hypervisor can send an indication to either the parent partition or the child partitions that data is available to be read from the shared memory associated with the child partition if the hypervisor determines that the trigger page indicates that data is available to be read from the shared memory associated with the child partition.

System and method for conversion of virtual machine files without requiring copying of the virtual machine payload (data) from one location to another location. By eliminating this step, applicant's invention significantly enhances the efficiency of the conversion process. In one embodiment, a file system or storage system provides indirections to locations of data elements stored on a persistent storage media. A source virtual machine file includes hypervisor metadata (HM) data elements in one hypervisor file format, and virtual machine payload (VMP) data elements. The source virtual machine file is converted by transforming the HM data elements of the source file to create destination HM data elements in a destination hypervisor format different from the source hypervisor format; maintaining the locations of the VMP data elements stored on the persistent storage media constant during the conversion from source to destination file formats without reading or writing the VMP data elements; and creating indirections to reference the destination HM data elements in the destination hypervisor format and the existing stored VMP data elements.

A method and apparatus are disclosed of monitoring a number of virtual machines operating in an enterprise network. One example method of operation may include identifying a number of virtual machines currently operating in an enterprise network and determining performance metrics for each of the virtual machines. The method may also include identifying at least one candidate virtual machine from the virtual machines to optimize its active application load and modifying the candidate virtual machine to change its active application load.

A method and apparatus for estimating virtual machine energy consumption, and in particular, a method and apparatus for estimating virtual machine energy consumption in a computer system. The method includes: obtaining system energy consumption of the system hardware resources; obtaining event information of a plurality of functional units into which the system hardware resources are divided, and mapping the event information to the respective virtual machines; and calculating energy consumption of the virtual machines according to a plurality of energy consumption coefficients corresponding to the plurality of functional units and according to the event information mapped to the functional units of the respective virtual machines.

A data processing system facilitates virtual machine migration with direct physical access control. The illustrative data processing system comprises a software-programmable trap control associated with hardware registers of a computer that selectively vectors execution control of a virtual machine (VM) between a host and a guest. The data processing system further comprises a logic which is configured for execution on the computer that programs the trap control to enable the virtual machine to directly access the hardware registers when the virtual machine is not migrated and to revoke direct access of the hardware registers in preparation for virtual machine migration.

Two or more virtual machines may be co-located on a same physical machine, and the virtual machines may communicate with each other. To establish efficient communication, memory mapping information for respective virtual machines can be exchanged between the respective virtual machines. An instance of a virtualized network interface can be established, and a direct communications channel can be mapped between respective virtualized network interfaces. Data packet routing information can be updated, such that data packets transferred between two of more co-located virtual machines can be transferred using the virtualized network interface communications channel.

This article provides the basic steps to use N-Port ID Virtualization (NPIV) technology in a kernel-based virtual machine (KVM) guest. Additionally, the article also provides the significance of NPIV allowing multiple guests to make use of a single physical host bus adapter (HBA) to access multiple storage devices.