Implementations are provided herein for systems, methods, and a non-transitory computer product configured to use predictive analysis of quantifiable parameters associated with individual files stored on a distributed file storage system. In some embodiments, parameters are analyzed by machine learning so that scheduled antivirus scanning can be intelligently conducted. We teach creating a sequential order for scheduled antivirus scanning such that the files most likely to be accessed or needed by users in the future will be scanned for viruses before those files less likely to be accessed. Our teachings encompass the use of heuristic data compiled and analyzed on a per-file basis. We enable system administrators to determine which parameters to prioritize and to set thresholds for antivirus scanning such as time limits.

Implementations are provided herein for systems, methods, and a non-transitory computer product configured to use predictive analysis of quantifiable parameters associated with individual files stored on a distributed file storage system. In some embodiments, parameters are analyzed by machine learning so that scheduled antivirus scanning can be intelligently conducted. We teach creating a sequential order for scheduled antivirus scanning such that the files most likely to be accessed or needed by users in the future will be scanned for viruses before those files less likely to be accessed. Our teachings encompass the use of heuristic data compiled and analyzed on a per-file basis. We enable system administrators to determine which parameters to prioritize and to set thresholds for antivirus scanning such as time limits.

A method for storing a data file (DF) on a storage entity (SE) includes receiving, by a proxy (PE) and from a computing entity (CE), a plurality of hash values corresponding to a plurality of blocks of the DF. The PE may check whether the plurality of blocks of the DF are stored in the SE based on the plurality of hash values. Based on determining that at least a subset of the plurality of blocks of the DF are not being stored in the SE, the PE may compute a secret associated with an encryption key. The PE may transmit, to the CE, the secret. The PE may receive, from the CE, information including storage locations of the subset of the plurality of blocks within the SE and one or more hash values, of the plurality of hash values, associated with the subset of the plurality of blocks.

A method for storing a data file (DF) on a storage entity (SE) includes receiving, by a proxy (PE) and from a computing entity (CE), a plurality of hash values corresponding to a plurality of blocks of the DF. The PE may check whether the plurality of blocks of the DF are stored in the SE based on the plurality of hash values. Based on determining that at least a subset of the plurality of blocks of the DF are not being stored in the SE, the PE may compute a secret associated with an encryption key. The PE may transmit, to the CE, the secret. The PE may receive, from the CE, information including storage locations of the subset of the plurality of blocks within the SE and one or more hash values, of the plurality of hash values, associated with the subset of the plurality of blocks.

A method of forming a vertical transistor includes forming a fin structure on a substrate, forming a gate structure on the fin structure, and forming a bottom source/drain (S/D) region on the fin structure, such that an air gap is formed between the bottom S/D region and the gate structure.

A regenerated container file is detected, and a file in the regenerated container file is determined that is different from any file in an existing container file related to the regenerated container file. To store the regenerated container file, the different file is sent to the data storage for storing.

Techniques for enabling user search of content stored in a file archive include providing a search interface comprising a search rules portion and an action rules portion, receiving a file archive search criterion comprising at least one search rule, and searching the file archive using the search criterion. The techniques also include generating a set of files filtered using the search criterion and performing an action specified in the action rules portion on a file included in the set of files.

A method is provided that includes establishing, by an application server, a remote access session with a client device, and creating, by a file system agent running on the application server, a metadata-only virtual file system associated with the remote access session, wherein the virtual file system only comprises file metadata associated with a plurality of files residing in a local file system of the client device. The method further includes responsive to receiving, by the virtual file system, a request to access content of a file referenced by the virtual file system, redirecting the request to a file system driver implementing at least a sub-tree of the local file system of the client device.

A method is provided that includes establishing, by an application server, a remote access session with a client device, and creating, by a file system agent running on the application server, a metadata-only virtual file system associated with the remote access session, wherein the virtual file system only comprises file metadata associated with a plurality of files residing in a local file system of the client device. The method further includes responsive to receiving, by the virtual file system, a request to access content of a file referenced by the virtual file system, redirecting the request to a file system driver implementing at least a sub-tree of the local file system of the client device.

An example method is provided in according with one implementation of the present disclosure. The method comprises generating, via a processor, a set of hashes for each of a plurality of objects. The method also comprises computing, via the processor, a high-dimensional sparse vector for each object, where the vector represents the set of hashes for each object. The method further comprises computing, via the processor, a combined high-dimensional sparse vector from the high-dimensional sparse vectors for all objects and computing a hash suppression threshold. The method also comprises determining, via the processor, a group of hashes to be suppressed by using the hash suppression threshold, and suppressing, via the processor, the group of selected hashes when performing an action.