Patents by Inventor Zhelong Pan
Zhelong Pan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230376346Abstract: The present disclosure relates generally to virtualization, and more particularly to techniques for deploying containers in a virtual environment. The container scheduling can be based on information determined by a virtual machine scheduler. For example, a container scheduler can receive a request to deploy a container. The container scheduler can send container information to the virtual machine scheduler. The virtual machine scheduler can use the container information along with resource utilization of one or more virtual machines to determine an optimal virtual machine for the container. The virtual machine scheduler can send an identification of the optimal virtual machine back to the container scheduler so that the container scheduler can deploy the container on the optimal virtual machine.Type: ApplicationFiled: July 28, 2023Publication date: November 23, 2023Inventors: Thaleia Dimitra DOUDALI, Zhelong PAN, Pranshu JAIN
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Publication number: 20230376359Abstract: Various examples are disclosed for performing cross-cluster load balancing. In some aspects, a workload is selected for cross-cluster migration. A destination cluster is identified for a migration of the workload from a source cluster to the destination cluster. A cross-cluster migration recommendation is generated to migrate the workload from the source cluster to the destination cluster.Type: ApplicationFiled: August 1, 2023Publication date: November 23, 2023Inventors: Lei Lu, Varun S. Lingaraju, Zhelong Pan, Rajesh Venkatasubramanian, Sahan Bamunavita Gamage, Charan Krishna Singh, Bing Hu, Xiaoyuan Lu
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Patent number: 11755385Abstract: Various examples are disclosed for performing cross-cluster load balancing. In some aspects, a workload is selected for cross-cluster migration. A destination cluster is identified for a migration of the workload from a source cluster to the destination cluster. A cross-cluster migration recommendation is generated to migrate the workload from the source cluster to the destination cluster.Type: GrantFiled: May 29, 2020Date of Patent: September 12, 2023Assignee: VMware, Inc.Inventors: Lei Lu, Varun S Lingaraju, Zhelong Pan, Rajesh Venkatasubramanian, Sahan Bamunavita Gamage, Charan K Singh, Bing Hu, Xiaoyuan Lu
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Patent number: 11755369Abstract: The present disclosure relates generally to virtualization, and more particularly to techniques for deploying containers in a virtual environment. The container scheduling can be based on information determined by a virtual machine scheduler. For example, a container scheduler can receive a request to deploy a container. The container scheduler can send container information to the virtual machine scheduler. The virtual machine scheduler can use the container information along with resource utilization of one or more virtual machines to determine an optimal virtual machine for the container. The virtual machine scheduler can send an identification of the optimal virtual machine back to the container scheduler so that the container scheduler can deploy the container on the optimal virtual machine.Type: GrantFiled: September 20, 2021Date of Patent: September 12, 2023Assignee: VMware, Inc.Inventors: Thaleia Dimitra Doudali, Zhelong Pan, Pranshu Jain
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Publication number: 20230185680Abstract: A method of restarting a virtual machine (VM) running in a cluster of hosts in a first data center, in a second data center, includes: transmitting an image of the VM to the second data center; in response to determining that a host in the cluster in which the VM was running has failed, determining whether or not there are sufficient resources in the cluster to run the VM in another host in the cluster; and upon determining that there are not sufficient resources in the cluster to run the VM in another host in the cluster, setting the VM to be inactive in the first data center, and communicating with a control plane in the second data center to set as active, and power on, a VM in the second data center using the image of the VM that has been transmitted to the second data center.Type: ApplicationFiled: January 25, 2023Publication date: June 15, 2023Inventors: Anant AGARWAL, Rahul CHANDRASEKARAN, Aalap DESAI, Vikram NAIR, Zhelong PAN
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Patent number: 11669369Abstract: Various examples are disclosed for cluster resource management using adaptive memory demands. In some examples, a local memory estimate is determined for a workload. The local memory estimate is determined using a memory reclamation parameter for the workload executed by a current host of the workload. A destination memory estimate is also determined for the workload. The destination memory estimate is determined using a full memory estimate unreduced by memory reclamation parameters. The workload is executed using a host that is selected in view of an analysis that uses the local memory estimate for the current host and the destination memory estimate for at least one destination host.Type: GrantFiled: September 3, 2021Date of Patent: June 6, 2023Assignee: VMWARE, INC.Inventors: Zhelong Pan, Rajesh Venkatasubramanian, Julien Freche, Prashanth Victor
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Patent number: 11656914Abstract: Disclosed are various approaches to anticipating future resource consumption based on user sessions. A message comprising a prediction of a future number of concurrent user sessions to be hosted by a virtual machine within a predefined future interval of time is received. It is then determined whether the future number of concurrent user sessions will cause the virtual machine to cross a predefined resource threshold during the predefined future interval of time. Then, a message is sent to a first hypervisor hosting the virtual machine to migrate the virtual machine to a second hypervisor.Type: GrantFiled: August 12, 2020Date of Patent: May 23, 2023Assignee: VMWARE, INC.Inventors: Yao Zhang, Olivier Alain Cremel, Zhelong Pan, Xunjia Lu
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Publication number: 20230060445Abstract: Examples described herein include systems and methods for efficiently scaling an SDDC. An example method can include storing resource utilization information for a variety of resources of the SDDC. The example method can also include predicting a future resource utilization rate for the resources and determining that a predicted utilization rate is outside of a desired range. The system can determine how long it would take to perform the scaling, including adding or removing a host and performing related functions such as load balancing or data transfers. The system can also determine how long the scaling is predicted to benefit the SDDC to ensure that the benefit is sufficient to undergo the scaling operation. If the expected benefit is greater than the benefit threshold, the system can perform the scaling operation.Type: ApplicationFiled: November 7, 2022Publication date: March 2, 2023Inventors: Jianxiong Jiang, Zhelong Pan, Charan Singh, Sabareesh Subramaniam
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Cost-savings using ephemeral hosts in infrastructure as a service environments based on health score
Patent number: 11593177Abstract: Various examples are disclosed for placing virtual machine (VM) workloads in a computing environment. Ephemeral workloads can be placed onto reserved instances or reserved hosts in a cloud-based VM environment. If a request to place a guaranteed workload is received, ephemeral workloads can be evacuated to make way for the guaranteed workload.Type: GrantFiled: March 18, 2020Date of Patent: February 28, 2023Assignee: VMWARE, INC.Inventors: Dragos Victor Misca, Sahan Bamunavita Gamage, Pranshu Jain, Zhelong Pan -
Patent number: 11593149Abstract: Various aspects are disclosed for unified resource management of containers and virtual machines. A podVM resource configuration for a pod virtual machine (podVM) is determined using container configurations. The podVM comprising a virtual machine (VM) that provides resource isolation for a pod based on the podVM resource configuration. A host selection for the podVM is received from a VM scheduler. The host selection identifies hardware resources for the podVM. A container scheduler is limited to bind the podVM to a node corresponding to the hardware resources of the host selection from the VM scheduler. The podVM is created in a host corresponding to the host selection. Containers are started within the podVM. The containers correspond to the container configurations.Type: GrantFiled: November 16, 2021Date of Patent: February 28, 2023Assignee: VMWARE, INC.Inventors: Sahan Gamage, Benjamin J. Corrie, Adrian Drzewiecki, Pranshu Jain, Mark Johnson, Zhelong Pan, Rajesh Venkatasubramanian
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Patent number: 11593234Abstract: A method of restarting a virtual machine (VM) running in a cluster in a first data center, in a second data center, includes: transmitting images of VMs, including a first VM, running in the cluster of hosts at a first point in time to the second data center for replication in the second data center; generating difference data representing a difference in an image of the first VM at a second point in time and the image of the first VM at the first point in time; transmitting the difference data to the second data center; setting the first VM to be inactive in the first data center; and communicating with a control plane in the second data center to set as active, and power on, a VM in the second data center using the replicated image of the first VM updated with the difference data.Type: GrantFiled: January 16, 2020Date of Patent: February 28, 2023Assignee: VMware, Inc.Inventors: Anant Agarwal, Rahul Chandrasekaran, Aalap Desai, Vikram Nair, Zhelong Pan
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Patent number: 11500691Abstract: Examples described herein include systems and methods for efficiently scaling an SDDC. An example method can include storing resource utilization information for a variety of resources of the SDDC. The example method can also include predicting a future resource utilization rate for the resources and determining that a predicted utilization rate is outside of a desired range. The system can determine how long it would take to perform the scaling, including adding or removing a host and performing related functions such as load balancing or data transfers. The system can also determine how long the scaling is predicted to benefit the SDDC to ensure that the benefit is sufficient to undergo the scaling operation. If the expected benefit is greater than the benefit threshold, the system can perform the scaling operation.Type: GrantFiled: July 16, 2020Date of Patent: November 15, 2022Assignee: VMware, Inc.Inventors: Jianxiong Jiang, Zhelong Pan, Charan Singh, Sabareesh Subramaniam
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Patent number: 11431788Abstract: Load balancing across hosts in a computer system is triggered based on pairwise comparisons of resource utilization at different host. A method for load balancing across hosts includes the steps of determining a resource utilization difference between first and second hosts, wherein the first host has a higher resource utilization than the second host, comparing the resource utilization difference against a threshold difference, and upon determining that the resource utilization difference exceeds the threshold difference, selecting a workload executing in the first host for migration to the second host.Type: GrantFiled: March 22, 2021Date of Patent: August 30, 2022Assignee: VMware, Inc.Inventors: Badhrinath Sampathkumar, Zhelong Pan, Haoqiang Zheng, Fei Guo, Sabareesh Subramaniam
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Patent number: 11347521Abstract: A method of restarting a virtual machine running in a cluster of hosts in a first data center, in a second data center, wherein each virtual machine is assigned a priority level, includes: transmitting virtual machines images running in the cluster at a first time to the second data center; selecting virtual machines to be restarted in the second data center according to priority levels assigned; and for each selected virtual machine, (a) generating difference data in an image of the selected virtual machine at a second time and at the first time, (b) transmitting the difference data to the second data center, (c) setting the virtual machine inactive in the first data center, and (d) communicating with the second data center to set as active; and power on, a virtual machine in the second data center using the image of the virtual machine transmitted to the second data center.Type: GrantFiled: January 16, 2020Date of Patent: May 31, 2022Assignee: VMware, Inc.Inventors: Anant Agarwal, Rahul Chandrasekaran, Aalap Desai, Vikram Nair, Zhelong Pan
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Publication number: 20220075643Abstract: Various aspects are disclosed for unified resource management of containers and virtual machines. A podVM resource configuration for a pod virtual machine (podVM) is determined using container configurations. The podVM comprising a virtual machine (VM) that provides resource isolation for a pod based on the podVM resource configuration. A host selection for the podVM is received from a VM scheduler. The host selection identifies hardware resources for the podVM. A container scheduler is limited to bind the podVM to a node corresponding to the hardware resources of the host selection from the VM scheduler. The podVM is created in a host corresponding to the host selection. Containers are started within the podVM. The containers correspond to the container configurations.Type: ApplicationFiled: November 16, 2021Publication date: March 10, 2022Inventors: Sahan Gamage, Benjamin J. Corrie, Adrian Drzewiecki, Pranshu Jain, Mark Johnson, Zhelong Pan, Rajesh Venkatasubramanian
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Publication number: 20220019482Abstract: Examples described herein include systems and methods for efficiently scaling an SDDC. An example method can include storing resource utilization information for a variety of resources of the SDDC. The example method can also include predicting a future resource utilization rate for the resources and determining that a predicted utilization rate is outside of a desired range. The system can determine how long it would take to perform the scaling, including adding or removing a host and performing related functions such as load balancing or data transfers. The system can also determine how long the scaling is predicted to benefit the SDDC to ensure that the benefit is sufficient to undergo the scaling operation. If the expected benefit is greater than the benefit threshold, the system can perform the scaling operation.Type: ApplicationFiled: July 16, 2020Publication date: January 20, 2022Inventors: Jianxiong Jiang, Zhelong Pan, Charan Singh, Sabareesh Subramaniam
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Publication number: 20220004431Abstract: The present disclosure relates generally to virtualization, and more particularly to techniques for deploying containers in a virtual environment. The container scheduling can be based on information determined by a virtual machine scheduler. For example, a container scheduler can receive a request to deploy a container. The container scheduler can send container information to the virtual machine scheduler. The virtual machine scheduler can use the container information along with resource utilization of one or more virtual machines to determine an optimal virtual machine for the container. The virtual machine scheduler can send an identification of the optimal virtual machine back to the container scheduler so that the container scheduler can deploy the container on the optimal virtual machine.Type: ApplicationFiled: September 20, 2021Publication date: January 6, 2022Applicant: VMware, Inc.Inventors: Thaleia Dimitra DOUDALI, Zhelong PAN, Pranshu JAIN
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Publication number: 20210397480Abstract: Various examples are disclosed for cluster resource management using adaptive memory demands. In some examples, a local memory estimate is determined for a workload. The local memory estimate is determined using a memory reclamation parameter for the workload executed by a current host of the workload. A destination memory estimate is also determined for the workload. The destination memory estimate is determined using a full memory estimate unreduced by memory reclamation parameters. The workload is executed using a host that is selected in view of an analysis that uses the local memory estimate for the current host and the destination memory estimate for at least one destination host.Type: ApplicationFiled: September 3, 2021Publication date: December 23, 2021Inventors: Zhelong Pan, Rajesh Venkatasubramanian, Julien Freche, Prashanth Victor
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Publication number: 20210373971Abstract: Various examples are disclosed for performing cross-cluster load balancing. In some aspects, a workload is selected for cross-cluster migration. A destination cluster is identified for a migration of the workload from a source cluster to the destination cluster. A cross-cluster migration recommendation is generated to migrate the workload from the source cluster to the destination cluster.Type: ApplicationFiled: May 29, 2020Publication date: December 2, 2021Inventors: Lei Lu, Varun S Lingaraju, Zhelong Pan, Rajesh Venkatasubramanian, Sahan Bamunavita Gamage, Charan K Singh, Bing Hu, Xiaoyuan Lu
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Patent number: 11182196Abstract: Various aspects are disclosed for unified resource management of containers and virtual machines. A podVM resource configuration for a pod virtual machine (podVM) is determined using container configurations. The podVM comprising a virtual machine (VM) that provides resource isolation for a pod based on the podVM resource configuration. A host selection for the podVM is received from a VM scheduler. The host selection identifies hardware resources for the podVM. A container scheduler is limited to bind the podVM to a node corresponding to the hardware resources of the host selection from the VM scheduler. The podVM is created in a host corresponding to the host selection. Containers are started within the podVM. The containers correspond to the container configurations.Type: GrantFiled: November 13, 2019Date of Patent: November 23, 2021Assignee: VMWARE, INC.Inventors: Sahan Gamage, Benjamin J. Corrie, Adrian Drzewiecki, Pranshu Jain, Mark Johnson, Zhelong Pan, Rajesh Venkatasubramanian