VIRTUALIZED FILE SERVER DISTRIBUTION ACROSS CLUSTERS

• US 20170235764A1
• Filed: 02/01/2017
• Published: 08/17/2017
• Est. Priority Date: 02/12/2016
• Status: Active Grant

• Current Assignee: Nutanix Incorporated
• Original Assignee: Nutanix Incorporated
• Inventors: Bafna, Kalpesh Ashok, Sharpe, Richard James, Arikatla, Durga Mahesh, Deshmukh, Satyajit Sanjeev, Rathi, Shyamsunder Prayagchand, Kanada, Devyani Suryakant, Sinha, Vishal
• Granted Patent: US 10,831,465 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/0712 in a virtual computing platform, e.g. logically partitioned systems
• CPC Class Codes: G06F 11/0751 Error or fault detection not based on redundancy power supply failures G06F1/30; network fault management H04L41/06
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 11/1451 by selection of backup contents
• CPC Class Codes: G06F 11/1464 for networked environments
• CPC Class Codes: G06F 11/1484 involving virtual machines
• CPC Class Codes: G06F 11/201 between storage system components
• CPC Class Codes: G06F 11/2025 using centralised failover control functionality
• CPC Class Codes: G06F 11/2033 switching over of hardware resources
• CPC Class Codes: G06F 11/2035 without idle spare hardware
• CPC Class Codes: G06F 11/2046 where the redundant components share persistent storage G06F11/2043 takes precedence
• CPC Class Codes: G06F 11/2058 using more than 2 mirrored copies
• CPC Class Codes: G06F 11/2069 Management of state, configuration or failover
• CPC Class Codes: G06F 11/2092 Techniques of failing over between control units
• CPC Class Codes: G06F 11/2094 Redundant storage or storage space G06F11/2056 takes precedence
• CPC Class Codes: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/301 where the computing system is a virtual computing platform, e.g. logically partitioned systems virtual machines G06F9/45533; logical partitioning of resources G06F9/5077
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 16/1727 Details of free space management performed by the file system saving storage space on storage systems G06F3/0608; management of blocks in storage devices G06F3/064
• CPC Class Codes: G06F 16/176 : Support for shared access to files; File sharing support
• CPC Class Codes: G06F 16/1774 : Locking methods, e.g. locking methods for file systems allowing shared and concurrent access to files
• CPC Class Codes: G06F 16/183 : Provision of network file services by network file servers, e.g. by using NFS, CIFS network file access protocols H04L67/1097
• CPC Class Codes: G06F 16/1844 : Management specifically adapted to replicated file systems
• CPC Class Codes: G06F 16/2365 : Ensuring data consistency and integrity
• CPC Class Codes: G06F 2009/45579 : I/O management, e.g. providing access to device drivers or storage
• CPC Class Codes: G06F 2009/45583 : Memory management, e.g. access or allocation
• CPC Class Codes: G06F 2009/45587 : Isolation or security of virtual machine instances
• CPC Class Codes: G06F 2009/45595 : Network integration; Enabling network access in virtual machine instances
• CPC Class Codes: G06F 21/53 : by executing in a restricted environment, e.g. sandbox or secure virtual machine
• CPC Class Codes: G06F 21/56 : Computer malware detection or handling, e.g. anti-virus arrangements
• CPC Class Codes: G06F 21/6218 : to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06F 21/78 : to assure secure storage of data address-based protection against unauthorised use of memory G06F12/14; record carriers for use with machines and with at least a part designed to carry digital markings G06K19/00
• CPC Class Codes: G06F 2201/80 : Database-specific techniques
• CPC Class Codes: G06F 2201/815 : Virtual
• CPC Class Codes: G06F 2201/825 : the problem or solution involving locking
• CPC Class Codes: G06F 2201/84 : Using snapshots, i.e. a logical point-in-time copy of the data
• CPC Class Codes: G06F 2201/87 : Monitoring of transactions
• CPC Class Codes: G06F 2221/034 : Test or assess a computer or a system
• CPC Class Codes: G06F 2221/2101 : Auditing as a secondary aspect
• CPC Class Codes: G06F 2221/2141 : Access rights, e.g. capability lists, access control lists, access tables, access matrices
• CPC Class Codes: G06F 2221/2145 : Inheriting rights or properties, e.g., propagation of permissions or restrictions within a hierarchy
• CPC Class Codes: G06F 3/0619 : in relation to data integrity, e.g. data losses, bit errors
• CPC Class Codes: G06F 3/0647 : Migration mechanisms
• CPC Class Codes: G06F 3/065 : Replication mechanisms
• CPC Class Codes: G06F 3/0664 : at device level, e.g. emulation of a storage device or system
• CPC Class Codes: G06F 3/0665 : at area level, e.g. provisioning of virtual or logical volumes
• CPC Class Codes: G06F 3/0683 : Plurality of storage devices
• CPC Class Codes: G06F 3/0689 : Disk arrays, e.g. RAID, JBOD
• CPC Class Codes: G06F 8/65 : Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06F 9/4406 : Loading of operating system
• CPC Class Codes: G06F 9/45558 : Hypervisor-specific management and integration aspects
• CPC Class Codes: H04L 41/06 : Management of faults, events, alarms or notifications
• CPC Class Codes: H04L 41/082 : the condition being updates or upgrades of network functionality
• CPC Class Codes: H04L 41/0859 : by keeping history of different configuration generations or by rolling back to previous configuration versions
• CPC Class Codes: H04L 41/5009 : Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 67/10 : in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1095 : Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/1097 : for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/34 : involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416

Abstract

In one embodiment, a system for managing a virtualization environment includes host machines implementing a virtualization environment, a plurality of clusters of the host machines, a virtualized file server (VFS) comprising a plurality of file server virtual machines (FSVMs), and a VFS cluster manager (CM) configured to distribute storage items among the clusters and receive cluster storage statistics for one or more shares of the VFS. The CM is further configured to, in response to a request from a first FSVM to identify a storage location for a storage item, identify a cluster at which the storage item is to be located based on the cluster storage statistics, identify a second FSVM at which the storage item is to be located based on compute usage statistics of one or more FSVMs in the identified cluster, and send an address of the second FSVM to the first FSVM.

Claims

1. A system for managing a virtualization environment, the system comprising:

a plurality of host machines implementing a virtualization environment, wherein each of the host machines comprises a hypervisor and one or more user virtual machines (user VMs);

a plurality of clusters, each cluster comprising one or more of the host machines and a storage pool;

a virtualized file server (VFS) comprising a plurality of file server virtual machines (FSVMs), wherein each of the FSVMs is running on one of the host machines, wherein each FSVM conducts I/O transactions with the storage pool located on the same cluster as the FSVM, and wherein the transactions are based on I/O requests originated by the user VMs; and

a virtualized file server cluster manager configured to distribute storage items among the clusters, the cluster manager further configured to;

receive cluster storage statistics for one or more shares of the VFS;

in response to a request from a first FSVM to identify a storage location for a storage item, identify a cluster at which the storage item is to be located, wherein the cluster is identified based on the cluster storage statistics;

identify a second FSVM at which the storage item is to be located, wherein the second FSVM is identified based on compute usage statistics of one or more FSVMs in the identified cluster, and the second FSVM is selected from the one or more FSVMs; and

send an address of the second FSVM to the first FSVM.

2. The system of claim 1, wherein the compute usage statistics are requested and received from one or more FSVMs in the identified cluster.

3. The system of claim 2, wherein the FSVMs in the identified cluster comprise a leader FSVM of the identified cluster.

4. The system of claim 1, wherein the cluster storage statistics comprise per-cluster storage usage statistics for each cluster on which data of at least one of the shares is located.

5. The system of claim 1, wherein the compute usage statistics comprise CPU utilization of each of the FSVMs in the identified cluster.

6. The system of claim 5, wherein the identified FSVM has a CPU utilization less than a threshold value according to the compute usage statistics.

7. One or more computer-readable non-transitory storage media embodying software for managing a virtualization environment, the media comprising instructions operable when executed to:

provide a virtualization environment for a plurality of host machines, wherein each of the host machines comprises a hypervisor and one or more user virtual machines (user VMs);

provide a plurality of clusters, each cluster comprising one or more of the host machines and a storage pool;

provide a virtualized file server (VFS) comprising a plurality of file server virtual machines (FSVMs), wherein each of the FSVMs is running on one of the host machines, wherein each FSVM conducts I/O transactions with the storage pool located on the same cluster as the FSVM, and wherein the transactions are based on I/O requests originated by the user VMs; and

provide a virtualized file server cluster manager configured to distribute storage items among the clusters, the cluster manager further configured to;

receive cluster storage statistics for one or more shares of the VFS;

in response to a request from a first FSVM to identify a storage location for a storage item, identify a cluster at which the storage item is to be located, wherein the cluster is identified based on the cluster storage statistics;

identify a second FSVM at which the storage item is to be located, wherein the second FSVM is identified based on compute usage statistics of one or more FSVMs in the identified cluster, and the second FSVM is selected from the one or more FSVMs; and

send an address of the second FSVM to the first FSVM.

8. The media of claim 7, wherein the compute usage statistics are requested and received from one or more FSVMs in the identified cluster.

9. The media of claim 8, wherein the FSVMs in the identified cluster comprise a leader FSVM of the identified cluster.

10. The media of claim 7, wherein the cluster storage statistics comprise per-cluster storage usage statistics for each cluster on which data of at least one of the shares is located.

11. The media of claim 7, wherein the compute usage statistics comprise CPU utilization of each of the FSVMs in the identified cluster.

12. The media of claim 11, wherein the identified FSVM has a CPU utilization less than a threshold value according to the compute usage statistics.

13. A method for managing a virtualization environment, the method comprising:

by one or more computing devices, providing a virtualization environment for a plurality of host machines, wherein each of the host machines comprises a hypervisor and one or more user virtual machines (user VMs);

by the one or more computing devices, providing a plurality of clusters, each cluster comprising one or more of the host machines and a storage pool;

by the one or more computing devices, providing a virtualized file server (VFS) comprising a plurality of file server virtual machines (FSVMs), wherein each of the FSVMs is running on one of the host machines, wherein each FSVM conducts I/O transactions with the storage pool located on the same cluster as the FSVM, and wherein the transactions are based on I/O requests originated by the user VMs; and

by the one or more computing devices, providing a virtualized file server cluster manager configured to distribute storage items among the clusters, the cluster manager further configured to;

receive cluster storage statistics for one or more shares of the VFS;

in response to a request from a first FSVM to identify a storage location for a storage item, identify a cluster at which the storage item is to be located, wherein the cluster is identified based on the cluster storage statistics;

identify a second FSVM at which the storage item is to be located, wherein the second FSVM is identified based on compute usage statistics of one or more FSVMs in the identified cluster, and the second FSVM is selected from the one or more FSVMs; and

send an address of the second FSVM to the first FSVM.

14. The method of claim 13, wherein the compute usage statistics are requested and received from one or more FSVMs in the identified cluster.

15. The method of claim 14, wherein the FSVMs in the identified cluster comprise a leader FSVM of the identified cluster.

16. The method of claim 13, wherein the cluster storage statistics comprise per-cluster storage usage statistics for each cluster on which data of at least one of the shares is located.

17. The method of claim 13, wherein the compute usage statistics comprise CPU utilization of each of the FSVMs in the identified cluster.

18. The method of claim 17, wherein the identified FSVM has a CPU utilization less than a threshold value according to the compute usage statistics.