Abstract: 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.

Abstract: Disclosed herein are methods, systems, and processes to perform input/output (I/O) fencing without dedicated arbitrators. A coordination storage identifier is stored in a storage device as metadata. The coordination storage identifier is associated with a node of a cluster coupled to the storage device, and an I/O fencing operation is performed using the coordination storage identifier.

Abstract: Implementations are provided herein for enhanced antivirus scanning in distributed file storage systems. In embodiments, we disclose using predictive, heuristic data to determine prospectively a sequence of files that may be called by a client based upon relationships between an initial filed called by a client and other files stored in the distributed file system. The sequence of files likely to be called in the future could, in some embodiments, be determined using machine language trained to analyze past client behavior patterns. Once a predictive file sequence has been determined, embodiments herein send files likely to be called in the very near future to an antivirus server for processing during a time period that overlaps the AV processing period for the original file that was called.

Abstract: Disclosed herein are various embodiments that perform application-aware input/output (I/O) fencing operations, certain of which embodiments include, in response to detection of a network partition event in a cluster, determining a first application weight, determining whether the first one or more application instances should be delayed in a cumulative fencing race, performing the cumulative fencing race (in response to a determination that the first one or more application instances should be delayed in the cumulative fencing race), and performing the cumulative fencing race without introducing the delay with regard to the first one or more application instances (in response to a determination that the first one or more application instances should not be delayed in the cumulative fencing race).

Abstract: 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 real-time and 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. We reconcile scheduled antivirus scanning with predictive analysis for real-time antivirus scanning. Our teachings encompass the use of heuristic data compiled, in some instances through machine learning, 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.

Abstract: 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 real-time and 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. We reconcile scheduled antivirus scanning with predictive analysis for real-time antivirus scanning. Our teachings encompass the use of heuristic data compiled, in some instances through machine learning, 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.

Abstract: Implementations are provided herein for enhanced antivirus scanning in distributed file storage systems. In embodiments, we disclose using predictive, heuristic data to determine prospectively a sequence of files that may be called by a client based upon relationships between an initial filed called by a client and other files stored in the distributed file system. The sequence of files likely to be called in the future could, in some embodiments, be determined using machine language trained to analyze past client behavior patterns. Once a predictive file sequence has been determined, embodiments herein send files likely to be called in the very near future to an antivirus server for processing during a time period that overlaps the AV processing period for the original file that was called.

Abstract: 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.

Abstract: Disclosed herein are various embodiments that perform application-aware input/output (I/O) fencing operations, certain of which embodiments include, in response to detection of a network partition event in a cluster, determining a first application weight, determining whether the first one or more application instances should be delayed in a cumulative fencing race, performing the cumulative fencing race (in response to a determination that the first one or more application instances should be delayed in the cumulative fencing race), and performing the cumulative fencing race without introducing the delay with regard to the first one or more application instances (in response to a determination that the first one or more application instances should not be delayed in the cumulative fencing race).

Abstract: Disclosed herein are methods, systems, and processes to perform application aware input/output (I/O) fencing operations. Performing such an application aware I/O fencing operation includes installing an identifier that identifies an instance of an application with a node on which the instance of the application is executing, on coordination points. A weight assigned to the instance of the application is determined, and the instance of the application is terminated based on the weight.

Abstract: Disclosed herein are systems, methods, and processes to improve throughput in OpenFabrics and Remote Direct Memory Access (RDMA) computing environments. Data and a header is received. Buffers in which the data and the header are to be written are identified. Placement information for the data and the header is determined based on a size of each buffer, a page-boundary-alignment of the data, and a header alignment of the header. The data and the header are written to the buffer(s) using the placement information. In such computing environments, throughout can be improved by writing data on page boundaries and the header on a header boundary in a second to last buffer.

Abstract: Disclosed herein are methods, systems, and processes to perform application aware input/output (I/O) fencing operations. A determination is made that a cluster has been partitioned. The cluster includes multiple nodes. As a result of the partitioning, the nodes are split between a first network partition with a first set of nodes and a second network partition with a second set of nodes. Another determination is made that instances of an application are executing on the first set of nodes and the second set of nodes. An application aware I/O fencing operation is then performed that causes termination of instances of the application executing on the first set of nodes or on the second set of nodes.

Abstract: Disclosed herein are methods, systems, and processes to perform application aware input/output (I/O) fencing operations. A determination is made that an instance of an application is executing on a node that is part of a cluster. In response to the determination that the instance of the application is executing on the node, an identifier that associates the instance of the application and the node on which the instance of the application is executing is generated for the instance of the application. The identifier is installed on one or more coordination points.

Abstract: Disclosed herein are methods, systems, and processes to perform input/output (I/O) fencing without dedicated arbitrators. A coordination storage identifier is stored in a storage device as metadata. The coordination storage identifier is associated with a node of a cluster coupled to the storage device, and an I/O fencing operation is performed using the coordination storage identifier.

Abstract: Disclosed herein are methods, systems, and processes to perform application aware input/output (I/O) fencing operations. Performing such an application aware I/O fencing operation includes installing an identifier that identifies an instance of an application with a node on which the instance of the application is executing, on coordination points. A weight assigned to the instance of the application is determined, and the instance of the application is terminated based on the weight.

Abstract: Disclosed herein are methods, systems, and processes to perform application aware input/output (I/O) fencing operations. A determination is made that an instance of an application is executing on a node that is part of a cluster. In response to the determination that the instance of the application is executing on the node, an identifier that associates the instance of the application and the node on which the instance of the application is executing is generated for the instance of the application. The identifier is installed on one or more coordination points.

Abstract: Disclosed herein are methods, systems, and processes to perform application aware input/output (I/O) fencing operations. A determination is made that a cluster has been partitioned. The cluster includes multiple nodes. As a result of the partitioning, the nodes are split between a first network partition with a first set of nodes and a second network partition with a second set of nodes. Another determination is made that instances of an application are executing on the first set of nodes and the second set of nodes. An application aware I/O fencing operation is then performed that causes termination of instances of the application executing on the first set of nodes or on the second set of nodes.

Abstract: Disclosed herein are systems, methods, and processes to improve throughput in OpenFabrics and Remote Direct Memory Access (RDMA) computing environments. Data and a header is received. Buffers in which the data and the header are to be written are identified. Placement information for the data and the header is determined based on a size of each buffer, a page-boundary-alignment of the data, and a header alignment of the header. The data and the header are written to the buffer(s) using the placement information. In such computing environments, throughout can be improved by writing data on page boundaries and the header on a header boundary in a second to last buffer.

Abstract: Techniques for monitoring a server are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system and method for monitoring a server. The method may comprise monitoring, using a monitoring module communicatively coupled to a network, data traffic at a server. The method may also comprise identifying a lack of data traffic during a predetermined period of time. The method may further comprise generating at least one notification based on the lack of data traffic. The method may also comprises transmitting the at least one notification to a server agent, wherein the server agent places at least one call to the server to verify status of the server.

Abstract: Various embodiments of a system and method for handling network partitions in a cluster of nodes are disclosed. The system and method may use a set of arbitration servers that are ordered in a particular order. Client nodes in different partitions may send requests to the arbitration servers to attempt to win control of them. The client node that wins a majority of the arbitration servers may remain in the cluster, and the client nodes in the other partitions may exit the cluster. The first arbitration server may award control to whichever client node whose request for control is received first. The remaining arbitration servers may be configured to give preference to the winner of one or more of the previous arbitration servers to attempt to ensure that one of the client nodes wins a majority.