Technologies for providing shared memory for accelerator sleds includes an accelerator sled to receive, with a memory controller, a memory access request from an accelerator device to access a region of memory. The request is to identify the region of memory with a logical address. Additionally, the accelerator sled is to determine from a map of logical addresses and associated physical address, the physical address associated with the region of memory. In addition, the accelerator sled is to route the memory access request to a memory device associated with the determined physical address.

This application describes a virtual machine deployment method and an operation and maintenance management (OMM) virtual machine. The method includes: obtaining, by an OMM virtual machine, a quantity and a specification of service virtual machines created in virtual network function application software to which the OMM virtual machine belongs; and determining, by the OMM virtual machine based on load that needs to be carried by the application software and the quantity and the specification of the service virtual machines, a module to be configured for each service virtual machine. The described implementations avoid or reduce waste of virtual machine resources.

Aspects of the disclosure relate to a real-time dynamic container optimization computing platform. The real-time dynamic container optimization computing platform may receive a request to create a first processing block and first data associated with the first processing block. The real-time dynamic container optimization computing platform may utilize a plurality of models to select a first computing device for the first processing block. The real-time dynamic container optimization computing platform may generate and deploy a container to the first computing device. The real-time dynamic container optimization computing platform may monitor execution of the container on the first computing device. The real-time dynamic container optimization computing platform may migrate the container to the second computing device if an issue with execution of the container on the first computing device is detected.

An example method of interfacing with a hypervisor in a computing system is described, which includes a processor having at least three hierarchical privilege levels including a third privilege level more privileged than a second privilege level, the second privilege level more privileged than a first privilege level. The method includes: identifying an input/output (I/O) space instruction, not supported by the processor, to be performed for backdoor communication between the hypervisor and guest software executing in a virtual machine (VM) managed by the hypervisor, the hypervisor executing at the third privilege level; writing one or more parameters to one or more registers of the processor that are mapped to one or more unsupported registers used by the I/O space instruction; writing a value indicative of the I/O space instruction to a designated register of the processor; executing an instruction, by the guest software executing at the first or second privilege level, which is trapped to the third privilege level.

Intelligent selection of optimization methods in heterogeneous environments is described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: identify a context; rank a plurality of optimization methods based upon the context; and execute at least a subset of the ranked optimization methods.

Upon receiving a request to hibernate a hypervisor of a virtualization system running on a first computer, acts are carried out to capture a state of the hypervisor, where the state of the hypervisor comprises hypervisor logical resource parameters and an execution state of the hypervisor. After hibernating the hypervisor by quiescing the hypervisor and storing the state of the hypervisor into a data structure, the data structure is moved to a different location. At a later moment in time, the data structure is loaded onto a second computing machine and restored. The restore operation restores the hypervisor and all of its state, including all of the virtual machines of the hypervisor as well as all of the virtual disks and other virtual devices of the virtual machines. Differences between the first computing machine and the second computing machine are reconciled before execution of the hypervisor on the second machine.

A cloud management server and method for performing automatic placement of clients in a distributed computer system uses a list of compatible clusters to select an affinity cluster to place the clients associated with an affinity constraint. As part of the placement method, a cluster that cannot satisfy any anti-affinity constraint associated with the clients and the affinity constrain is removed from the list of compatible clusters. After the affinity cluster has been selected, at least one cluster in the distributed computer system is also selected to place clients associated with an anti-affinity constraint.

Some embodiments provide a method for configuring a logical middlebox in a hosting system that includes a set of nodes. The logical middlebox is part of a logical network that includes a set of logical forwarding elements that connect a set of end machines. The method receives a set of configuration data for the logical middlebox. The method uses a stored set of tables describing physical locations of the end machines to identify a set of nodes at which to implement the logical middlebox. The method provides the logical middlebox configuration for distribution to the identified nodes.

An opportunistic hypervisor determines that a guest virtual machine of a virtualization host has voluntarily released control of a physical processor. The hypervisor uses the released processor to identify and initiate a virtualization management task which has not been completed. In response to determining that at least a portion of the task has been performed, the hypervisor enters a quiescent state, releasing the physical processor to enable resumption of the guest virtual machine.

Methods and apparatus to manage configuration of policy-based hypervisors are disclosed. An example method includes generating, by executing an instruction with a processor, a specification for a target configuration of a host based on a policy-based profile, the policy-based profile describing a source configuration of a source host at a virtualization software level; applying, by executing an instruction with the processor, the specification to the target configuration; and in response to an update to the policy-based profile, updating, by executing an instruction with the processor, the target configuration to place the host in compliance with the updated policy-based profile.