Vmware, Inc.

Christian Dickmann

Mansi Shah

Zongliang Li

Subramanian Neelakantan

Wenguang Wang

Christos Karamanolis

Eric Shannon Knauft

Jin Zhang

Pascal Renauld

Ye Zhang

Tao Xie

Yu Wu

Radhika Vullikanti

Boris Dimitrov Stoicov

Zhao Xia Jin

Gopala Suryanarayana

Aditya Kotwal

Chaitanya Datye

Niket Kandya

An example virtualized computing system includes a cluster of hosts having a virtualization layer executing thereon and configured to manage virtual machines (VMs); a local storage device in a first host of the cluster, the local storage device configured as direct-attach storage; and an orchestration control plane, integrated with the virtualization layer, the orchestration control plane including a master server managing state of the orchestration control plane, the state including objects representing the hosts and the VMs, the orchestration control plane deploying a persistent application executing on a first VM of the VMs, the persistent application storing persistent data on the direct-attach storage.

Direct access storage for persistent services in a virtualized computing system

An example virtualized computing system includes a cluster of hosts having a virtualization layer executing thereon and configured to manage virtual machines (VMs); first and second local storage devices in a first host, the first local storage device being part of a virtual storage area network (vSAN) and the second local storage device being exclusive of the vSAN; and an orchestration control plane, integrated with the virtualization layer and including a master server managing state of the orchestration control plane, the state including objects representing the hosts and the VMs, the orchestration control plane deploying a persistent application executing on a first VM, the persistent application storing persistent data on the second local storage device; and a virtualization management server configured to manage the cluster and to cooperate with the orchestration control plane to modify the state to notify the master server of a virtual infrastructure (VI) event.

Direct access storage for persistent services in a distributed storage system

Example methods are provided for unbalanced storage resource usage configuration for a distributed storage system in a virtualized computing environment. An example method may include obtaining usage data associated with multiple storage resources forming the distributed storage system. The multiple storage resources are supported by the multiple hosts. Based on the usage data, the method may further include determining a higher usage set and a lower usage set of one or more storage resources from the multiple storage resources and configuring the multiple hosts to use the multiple storage resources in an unbalanced manner by using the higher usage set of one or more storage resources at a higher usage level compared to the lower usage set of one or more storage resources.

Unbalanced storage resource usage configuration for distributed storage systems

Architectures for computing clusters with enhanced scalability and fault isolation capabilities are described. The enhanced capabilities are enabled by partitioning hosts of the clusters into multiple storage domains of the cluster. Each of the hosts includes processing and storage resources. The resources are logically partitioned into a processing layer and a storage layer of the cluster. The processing layer includes a virtualized processing resource for each of the storage domains. The storage layer includes a virtualized datastore for each of the storage domains. The processing layer provides users with access to virtualized machines (VMs). The storage layer provides the VMs with access to virtualized datastores of the associated storage domain. The aggregated resources of the host computing devices within the cluster may be employed to instantiate the processing layer and the storage layer of the cluster.

Architectures for hyperconverged infrastructure with enhanced scalability and fault isolation capabilities

Disclosed examples include determining that a user-approved migration plan satisfies a proposed migration plan, the proposed migration plan to configure a virtual distributed switch using network configuration settings of a virtual standard switch corresponding to first physical network interface cards, the user-approved migration plan based on a user-selection responsive to the proposed migration plan; creating the virtual distributed switch in a first host and a second host in response to the user-approved migration plan satisfying the proposed migration plan; and configuring the virtual distributed switch based on the network configuration settings of the virtual standard switch.

Methods and apparatus to migrate physical server hosts between virtual standard switches and virtual distributed switches in a network

An example apparatus to migrate a physical server host from a virtual standard switch to a virtual distributed switch includes: a user input interface to receive a user-selection of first physical network interface cards of a first physical server host to migrate from the virtual standard switch to the virtual distributed switch; a configurator to generate a first migration plan to configure the virtual distributed switch using network configuration settings of the virtual standard switch corresponding to the first physical network interface cards; and a virtual distributed switch creator to, based on a user-selection to proceed with the migration from the virtual standard switch to the virtual distributed switch, create the virtual distributed switch in the first physical server host and a second physical server host, the configurator to configure the network configuration settings of the virtual standard switch in the virtual distributed switch.

Techniques for implementing access pattern-based distribution of key-value content in a distributed key-value store comprising a plurality of nodes are provided. In one set of embodiments, a node in the plurality of nodes can receive a request to create a key-value entry. The node can further determine whether the key-value entry is associated with a first (e.g., global) scope or a second (e.g., local) scope. If the key-value entry is associated with the first scope, the node can cause the key-value entry to be replicated on every node in the plurality of nodes. On the other hand, if the key-value entry is associated with the second scope, the node cause the key-value entry to be stored solely on that node.

Access pattern-based distribution for distributed key-value stores

Destaging data from a first tier data store to a second tier data store can be performed periodically and concurrently while processing user I/O operations. Each round of destaging can be delayed by certain amount (sleep time). A throttling factor can be used to compute the sleep time as a fraction of a base sleep time. The throttling factor can vary based on the usage level of first tier data store, and can be used to determine the destage frequency.

I/O destaging bandwidth control

Example methods are provided for unbalanced storage resource usage configuration for a distributed storage system in a virtualized computing environment. The method may comprise: obtaining usage data associated with multiple storage resources forming the distributed storage system; and based on the usage data, determining a higher usage set and a lower usage set from the multiple storage resources. The method also comprise configuring the multiple hosts to use the multiple storage resources in an unbalanced manner by using the higher usage set at a higher usage level compared to the lower usage set.

In a storage cluster having nodes, blocks of a logical storage space of a storage object are allocated flexibly by a parent node to component nodes that are backed by physical storage. The method includes maintaining a first allocation map for the parent node, and second and third allocation maps for the first and second component nodes, respectively, executing a first write operation on the first component node and updating the second allocation map to indicate that the first block is a written block, and upon detecting that the first component node is offline, executing a second write operation that targets a second block of the logical storage space, which is allocated to the first component node, on the second component node and updating the third allocation map to indicate that the second block is a written block.

Seamless fault tolerance via block remapping and efficient reconciliation

In a storage cluster having nodes, blocks of a logical storage space of a storage object are allocated flexibly by a parent node to component nodes that are backed by physical storage. The method includes maintaining a first allocation map for the parent node, and second and third allocation maps for the first and second component nodes, respectively, executing a first write operation on the first component node and updating the second allocation map to indicate that the first block is a written block, selecting the second component node for executing a second write operation, and executing the second write operation on the second component node. Upon execution of the second write operation, the third allocation map is updated to indicate that the second block is a written block and the first allocation map is updated to indicate that the second block is allocated to the second component node.

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Munich, Germany

Christian Dickmann