Abstract: A system identifies (I) a first independent filesystem that (i) includes a file and (ii) uses file-handles to locate files and (II) a second independent filesystem that (i) operates independently of file-handles, associated with the first independent filesystem, when locating files and (ii) includes a copy of the file. The system generates a file-handle for the copy of the file on an inode of first independent filesystem based on a full-path for the copy of the file on the second independent filesystem. The system replicates one or more data blocks between the first independent filesystem and the second independent filesystem based, at least in part, on the full-path.

Abstract: A computer-implemented method according to one embodiment includes receiving, on a first gateway node of a first cluster site, an input/output (I/O) request for a first fileset, and determining a collection of mount operations in which to add the I/O request for the first fileset. The determining includes hashing information of the first fileset against more than one collection of mount operations. The method further includes adding the I/O request for the first fileset to a first determined collection of mount operations, and outputting the first determined collection of mount operations to a first network file system (NFS) server. The first NFS server is one of a plurality of NFS servers of a second cluster site. Moreover, the first NFS server and at least one other NFS server of the plurality of NFS servers are configured to receive a collection of mount operations from the first gateway node.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving a file operation, and determining a transaction identification which corresponds to the file operation. The transaction identification is used to create a unique queue which corresponds to the file operation. A number of fields included in the unique queue is equal to a number of sub-operations included in a predefined template associated with the file operation. Moreover, the number of fields included in the unique queue are populated as each of the respective number of sub-operations are performed. A determination is made as to whether each of the number of fields in the unique queue have been populated, and the unique queue is sent to a global queue in response to determining that each of the number of fields in the unique queue have been populated.

Abstract: A refolding process of Ranibizumab is disclosed wherein the solubilized solution of heavy chain and/or light chain of Ranibizumab treated with refolding buffer under suitable conditions including pH, temperature and incubation period and the pH and temperature shift is performed at suitable interval to obtain high quality and quantity of refolded protein.

Abstract: Methods and systems for reducing the impact of malware/ransomware in a caching environment are provided. A system for reducing the impact of malware/ransomware includes a pattern detection module that identifies one or more file operations associated with one or more malicious patterns. Additionally, the one or more file operations act on data stored at a first data site. The system also includes an administration module that provides an alert to an administrator that one or more malicious patterns have been identified and determines an administration action in response to the alert. The system further includes a replication module that performs a replication action for the one or more file operations based on the administration action, wherein the replication action is performed in relation to replicated data stored at a second data site.

Abstract: Systems and methods for using a thin arbiter node as a quorum decision maker in a distributed file system. An example method comprises receiving a write request with respect to a file, identifying a first data storage unit storing a first replica of the file and a second data storage unit storing a second replica of the file, determining that the first data storage unit is unavailable and that the second data storage unit is available, and in response to determining, using metadata residing on a thin arbiter node, that the second data storage unit contains at least on stale file replica, failing the write request to avoid split brain in the distributed file system.

Abstract: Methods and systems for reducing the impact of malware/ransomware in a caching environment are provided. A system for reducing the impact of malware/ransomware includes a pattern detection module that identifies one or more file operations associated with one or more malicious patterns. Additionally, the one or more file operations act on data stored at a first data site. The system also includes an administration module that provides an alert to an administrator that one or more malicious patterns have been identified and determines an administration action in response to the alert. The system further includes a replication module that performs a replication action for the one or more file operations based on the administration action, wherein the replication action is performed in relation to replicated data stored at a second data site.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving a file operation, and determining a transaction identification which corresponds to the file operation. The transaction identification is used to create a unique queue which corresponds to the file operation. A number of fields included in the unique queue is equal to a number of sub-operations included in a predefined template associated with the file operation. Moreover, the number of fields included in the unique queue are populated as each of the respective number of sub-operations are performed. A determination is made as to whether each of the number of fields in the unique queue have been populated, and the unique queue is sent to a global queue in response to determining that each of the number of fields in the unique queue have been populated.

Abstract: The first computer receives a signal that a second computer is back online after being offline, wherein the second computer was offline because of a failure. The first computer takes a first snapshot of the storage, wherein data that has a higher access frequency is stored on a first drive and data that has a lower access frequency is stored on a second drive. The first computer determines a snapshot difference between the first snapshot and a second snapshot. The first computer transmits the snapshot difference to the second computer, and transmits the data stored on the first drive to the second computer. The first computer promotes the data stored on the second drive to be considered equivalent to data stored drive and transmits the promoted data stored on the second drive to the second computer at the same transmission rate as the data stored on the first drive.

Abstract: The first computer receives a signal that a second computer is back online after being offline, wherein the second computer was offline because of a failure. The first computer takes a first snapshot of the storage, wherein data that has a higher access frequency is stored on a first drive and data that has a lower access frequency is stored on a second drive. The first computer determines a snapshot difference between the first snapshot and a second snapshot. The first computer transmits the snapshot difference to the second computer, and transmits the data stored on the first drive to the second computer. The first computer promotes the data stored on the second drive to be considered equivalent to data stored drive and transmits the promoted data stored on the second drive to the second computer at the same transmission rate as the data stored on the first drive.

Abstract: A refolding process of Ranibizumab is disclosed wherein the solubilized solution of heavy chain and/or light chain of Ranibizumab treated with refolding buffer under suitable conditions including pH, temperature and incubation period and the pH and temperature shift is performed at suitable interval to obtain high quality and quantity of refolded protein.

Abstract: The first computer receives a signal that a second computer is back online after being offline, wherein the second computer was offline because of a failure. The first computer takes a first snapshot of the storage, wherein data that has a higher access frequency is stored on a first drive and data that has a lower access frequency is stored on a second drive. The first computer determines a snapshot difference between the first snapshot and a second snapshot. The first computer transmits the snapshot difference to the second computer, and transmits the data stored on the first drive to the second computer. The first computer promotes the data stored on the second drive to be considered equivalent to data stored drive and transmits the promoted data stored on the second drive to the second computer at the same transmission rate as the data stored on the first drive.

Abstract: The first computer receives a signal that a second computer is back online after being offline, wherein the second computer was offline because of a failure. The first computer takes a first snapshot of the storage, wherein data that has a higher access frequency is stored on a first drive and data that has a lower access frequency is stored on a second drive. The first computer determines a snapshot difference between the first snapshot and a second snapshot. The first computer transmits the snapshot difference to the second computer, and transmits the data stored on the first drive to the second computer. The first computer promotes the data stored on the second drive to be considered equivalent to data stored drive and transmits the promoted data stored on the second drive to the second computer at the same transmission rate as the data stored on the first drive.

Abstract: Methods and systems are provided for an integrated approach to collections cycle optimization including optimizing personnel, communications, and collection resolutions, resulting in reducing the variability of the collections cycle, reducing instances of foreclosure in collections, while increasing borrower satisfaction with the collections process. Candid ate loan officers are selected based on behavioral attributes, personnel history, and human resources information, among other factors. Scripts that improve the effectiveness of communication between loan collection staff and borrowers are generated. An optimized collection program to best suit the needs of a particular borrower is determined.

Abstract: Methods and systems are provided for an integrated approach to collections cycle optimization including optimizing personnel, communications, and collection resolutions, resulting in reducing the variability of the collections cycle, reducing instances of foreclosure in collections, while increasing borrower satisfaction with the collections process. Candidate loan officers are selected based on behavioral attributes, personnel history, and human resources information, among other factors. Scripts that improve the effectiveness of communication between loan collection staff and borrowers are generated. An optimized collection program to best suit the needs of a particular borrower is determined.

Abstract: Methods and systems are provided for an integrated approach to collections cycle optimization including optimizing personnel, communications, and collection resolutions, resulting in reducing the variability of the collections cycle, reducing instances of foreclosure in collections, while increasing borrower satisfaction with the collections process. Candidate loan officers are selected based on behavioral attributes, personnel history, and human resources information, among other factors. Scripts that improve the effectiveness of communication between loan collection staff and borrowers are generated. An optimized collection program to best suit the needs of a particular borrower is determined.

Abstract: Methods and systems are provided for an integrated approach to collections cycle optimization including optimizing personnel, communications, and collection resolutions, resulting in reducing the variability of the collections cycle, reducing instances of foreclosure in collections, while increasing borrower satisfaction with the collections process. Candidate loan officers are selected based on behavioral attributes, personnel history, and human resources information, among other factors. Scripts that improve the effectiveness of communication between loan collection staff and borrowers are generated. An optimized collection program to best suit the needs of a particular borrower is determined.

Abstract: Methods and systems are provided for an integrated approach to collections cycle optimization including optimizing personnel, communications, and collection resolutions, resulting in reducing the variability of the collections cycle, reducing instances of foreclosure in collections, while increasing borrower satisfaction with the collections process. Candidate loan officers are selected based on behavioral attributes, personnel history, and human resources information, among other factors. Scripts that improve the effectiveness of communication between loan collection staff and borrowers are generated. An optimized collection program to best suit the needs of a particular borrower is determined.

Abstract: A method, system, and computer program product for generating a model for predicting loan behavior, including receiving loan data for a plurality of loans; preparing the loan data for analysis; grouping the loans into a plurality of hierarchical segments based on shared characteristics; generating a logistic regression model for each segment; and generating an overall prediction model for at least one of prepayment, delinquency, and default across the plurality of segments. Grouping the loans into a plurality of segments based on shared characteristics may include grouping the loans based on loan type, change in Housing Price Index (HPI) since origination, and loan age. Generating a logistic regression model for each segment may include generating a regression model for the probabilities of each of prepayment, default, and delinquency for each of the segments.