Abstract: Systems, methods, and non-transitory computer readable media for storing and processing metadata corresponding to files are presented. The system comprises first, second, and third computing nodes. The computing nodes comprise a plurality of slices of a metadata database that is separate and independent from file storage, and each slice is configured to store metadata. The computing nodes further comprise a slice route table that indicates primary and secondary locations of each unique slice in the plurality of slices. The slice route table comprises a plurality of entries, each of which comprise a slice number corresponding to a slice in the plurality of slices of the metadata database, a primary computing node number corresponding to a primary computing node that comprises the slice and corresponds to the primary location, and a secondary computing node number corresponding to a secondary computing node that comprises the slice and corresponds to the secondary location.

Abstract: A method, system and program are disclosed for accelerating data storage in a cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies which populate the storage cache using behavioral adaptive policies that are based on analysis of clients-filers transaction patterns and network utilization, thereby improving access time to the data stored on the disk-based NAS filer (group) for predetermined applications.

Abstract: A method, system and program are disclosed for accelerating data storage by providing non-disruptive storage caching using clustered cache appliances with packet inspection intelligence. A cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies provides low-latency access and redundancy in responding to both read and write requests for cached files, thereby improving access time to the data stored on the disk-based NAS filer (group).

Abstract: A method, system and program are disclosed for accelerating data storage by providing non-disruptive storage caching using clustered cache appliances with packet inspection intelligence. A cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies provides low-latency access and redundancy in responding to both read and write requests for cached files, thereby improving access time to the data stored on the disk-based NAS filer (group).

Abstract: A method, system and program are disclosed for accelerating data storage by providing non-disruptive storage caching using spliced cache appliances with packet inspection intelligence. A cache appliance that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies provides low-latency access and redundancy in responding to both read and write requests for cached files, thereby improving access time to the data stored on the disk-based NAS filer (group).

Abstract: A method, system and program are disclosed for accelerating data storage by providing non-disruptive storage caching using clustered cache appliances with packet inspection intelligence. A cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies provides low-latency access and redundancy in responding to both read and write requests for cached files, thereby improving access time to the data stored on the disk-based NAS filer (group).

Abstract: A method, system and program are disclosed for accelerating data storage in a cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies which populate the storage cache using behavioral adaptive policies that are based on analysis of clients-filers transaction patterns and network utilization, thereby improving access time to the data stored on the disk-based NAS filer (group) for predetermined applications.

Abstract: A method, system and program are disclosed for accelerating data storage in a cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies which populate the storage cache using behavioral adaptive policies that are based on analysis of clients-filers transaction patterns and network utilization, thereby improving access time to the data stored on the disk-based NAS filer (group) for predetermined applications.

Abstract: A method, system and program are disclosed for accelerating data storage by providing non-disruptive storage caching using clustered cache appliances with packet inspection intelligence. A cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies provides low-latency access and redundancy in responding to both read and write requests for cached files, thereby improving access time to the data stored on the disk-based NAS filer (group).

Abstract: A method, system and program are disclosed for accelerating data storage by providing non-disruptive storage caching using spliced cache appliances with packet inspection intelligence. A cache appliance that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies provides low-latency access and redundancy in responding to both read and write requests for cached files, thereby improving access time to the data stored on the disk-based NAS filer (group).

Abstract: A method, system and program are disclosed for accelerating data storage in a cache appliance cluster that transparently monitors NFS and CIFS traffic between clients and NAS subsystems and caches files using dynamically adjustable cache policies which populate the storage cache using behavioral adaptive policies that are based on analysis of clients-filers transaction patterns and network utilization, thereby improving access time to the data stored on the disk-based NAS filer (group) for predetermined applications.