Patents by Inventor Malak Alshawabkeh

Malak Alshawabkeh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12197630
    Abstract: An aspect of the present disclosure relates to one or more data decryption techniques. In embodiments, an input/output operation (IO) stream including one or more encrypted IOs is received by a storage array. Each encrypted IO is assigned an encryption classification. Further, each encrypted IO is processed based on its assigned encryption classification.
    Type: Grant
    Filed: April 13, 2021
    Date of Patent: January 14, 2025
    Assignee: EMC IP Holding Company LLC
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh
  • Patent number: 12164418
    Abstract: SSD service life is extended by monitoring wear-level and prompting relocation of unstable data out of SSDs that have reached a soft wear-level threshold such that those SSDs do not contain unstable data when those SSDs reach a hard wear-level threshold. The progression of SSD wear-level is forecasted using an ARIMA algorithm. Unstable data on SSDs between predicted times of reaching the soft and hard thresholds is replaced by stable data from SSDs that have not reached the soft wear-level threshold. The stable data may be snapshot data and deduplicated data and deduplication hashes characterized based on number of references. SSDs that reach the hard threshold without unstable data can remain in service for read IOs until being replaced.
    Type: Grant
    Filed: December 23, 2022
    Date of Patent: December 10, 2024
    Assignee: Dell Products L.P.
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh
  • Patent number: 12135881
    Abstract: The disk drives of an array are organized into clusters of multiples of G+1 drives with G same-size indexed subdivisions, where G is the number of members in a protection group. G+1 groupings are created in each cluster, including G groupings distributed over G drives in single subdivision indices and one grouping distributed diagonally over multiple subdivision indices. A single grouping in at least one cluster is configured as spare capacity. Protection groups are located in the other groupings. Drive IO loading is rebalanced by swapping the location of a selected protection group with the location of the spare grouping. The protection group to be relocated may be selected by using LOF scores to identify a cluster with IO loading outlier drives that are overloaded and then calculating IO loading that would result from swapping locations of each protection group in that cluster with the spare grouping.
    Type: Grant
    Filed: December 19, 2022
    Date of Patent: November 5, 2024
    Assignee: Dell Products L.P.
    Inventors: Kuolin Hua, Kunxiu Gao, Malak Alshawabkeh
  • Publication number: 20240320340
    Abstract: Ransomware activity detection and data protection is implemented by a remote R2 storage array on an asynchronous remote data replication facility, on which data from a primary R1 storage array is replicated to the remote storage array. Write operations on storage volumes in a remote data replication group are collected in a capture cycle on the primary storage array, along with IO pattern metadata describing both read and write operations on the storage volumes. At the end of the capture cycle, the update and metadata is transmitted to the remote storage array. The remote storage array receives the update and metadata and temporarily stores the update prior to applying it to its copy of the storage volumes. Ransomware anomaly detection is implemented using the update and metadata, and if ransomware activity is detected, the data on the remote R2 storage array is protected, and the update is not applied.
    Type: Application
    Filed: March 20, 2023
    Publication date: September 26, 2024
    Inventors: Mohammed Asher VT, Ramesh Doddaiah, Sandeep Chandrashekhara, Malak Alshawabkeh
  • Publication number: 20240281362
    Abstract: A software analysis system collects a first set of time series counter values from an original version of software instrumented with software telemetry counters, and collects a second set of time series counter values from a modified version of the software that also is instrumented with the software telemetry counters. The first time series become dimensions input to train a weight matrix of a first self-organizing map, to cause the first self-organizing map to cluster the time series into a group of first clusters describing execution of the original software. The second time series become dimensions input to train a weight matrix of a second self-organizing map, to cause the second self-organizing map to cluster the time series into a group of second clusters describing execution of the modified software. Deviation analysis between the first and second groups of clusters is used to identify execution differences between the software versions.
    Type: Application
    Filed: February 22, 2023
    Publication date: August 22, 2024
    Inventors: Malak Alshawabkeh, Pankaj Soni, Sunil Gumaste, Eddie V. Tran, S. Shrivana Kumar
  • Patent number: 12067251
    Abstract: A method of predicting usage levels of solid-state drives (SSDS) includes receiving time series usage data from each SSD over a plurality of monitoring intervals (lags), and using a first portion of the time series usage data to train (fit) an ARIMA model to the time series data. A unique ARIMA model (order) is determined for each SSD from the unique time series % usage data of each SSD. The ARMIA model is then fit to the time series % usage data and used in a predictive manner to predict a future date when the % usage will exceed a threshold % usage value. By predicting when the SSDs will meet particular thresholds, it is possible to plan for and procure replacement SSDs to enable currently installed SSDs to be removed from service before the currently installed SSD % usage levels exceed threshold values, thus enabling the currently installed SSDs to be repurposed.
    Type: Grant
    Filed: April 11, 2022
    Date of Patent: August 20, 2024
    Assignee: Dell Products, L.P.
    Inventors: Malak Alshawabkeh, Sunil Gumaste, Ravish Sachdeva, Pankaj Soni, Christopher Allison
  • Patent number: 12056385
    Abstract: Aspects of the present disclosure relate to detecting and correcting a storage array's drive sectors to prevent data loss. In embodiments, a storage array's telemetry information is monitored. Further, one or more state or operational metrics of the storage array's storage drives are measured. Additionally, each storage drive is scrubbed based on each drive's relative scrubbing priority defined by the telemetry information and each storage drive's state or operation metrics.
    Type: Grant
    Filed: July 30, 2021
    Date of Patent: August 6, 2024
    Assignee: EMC IP Holding Company LLC
    Inventors: Malak Alshawabkeh, Seema Pai, Dale Elliott, Christopher Monti, Sunil Gumaste, Krishnamoorthy Anantharaman, Ravish Sachdeva, Abhilash Sanap, Pankaj Soni, ShashiKiran Talanki Ramanathagupta
  • Publication number: 20240211390
    Abstract: SSD service life is extended by monitoring wear-level and prompting relocation of unstable data out of SSDs that have reached a soft wear-level threshold such that those SSDs do not contain unstable data when those SSDs reach a hard wear-level threshold. The progression of SSD wear-level is forecasted using an ARIMA algorithm. Unstable data on SSDs between predicted times of reaching the soft and hard thresholds is replaced by stable data from SSDs that have not reached the soft wear-level threshold. The stable data may be snapshot data and deduplicated data and deduplication hashes characterized based on number of references. SSDs that reach the hard threshold without unstable data can remain in service for read IOs until being replaced.
    Type: Application
    Filed: December 23, 2022
    Publication date: June 27, 2024
    Applicant: Dell Products L.P.
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh
  • Publication number: 20240201862
    Abstract: The disk drives of an array are organized into clusters of multiples of G+1 drives with G same-size indexed subdivisions, where G is the number of members in a protection group. G+1 groupings are created in each cluster, including G groupings distributed over G drives in single subdivision indices and one grouping distributed diagonally over multiple subdivision indices. A single grouping in at least one cluster is configured as spare capacity. Protection groups are located in the other groupings. Drive IO loading is rebalanced by swapping the location of a selected protection group with the location of the spare grouping. The protection group to be relocated may be selected by using LOF scores to identify a cluster with IO loading outlier drives that are overloaded and then calculating IO loading that would result from swapping locations of each protection group in that cluster with the spare grouping.
    Type: Application
    Filed: December 19, 2022
    Publication date: June 20, 2024
    Applicant: Dell Products L.P.
    Inventors: Kuolin Hua, Kunxiu Gao, Malak Alshawabkeh
  • Patent number: 11809716
    Abstract: The lifespans of the solid stated drives (SSDs) of a storage array are modelled using linear regression with monitored wear level and power-on time. The models predict when individual SSDs will reach a wear level corresponding to readiness for replacement. A drive replacement process makes efficient use of available empty drive slots to replace SSDs in batches. SSDs that are ready for replacement are ranked in terms of priority for replacement. If the number of SSDs that are ready for replacement exceeds the number of available empty drive slots, then ranking us used to assign individual SSDs to different batches for replacement.
    Type: Grant
    Filed: January 20, 2022
    Date of Patent: November 7, 2023
    Assignee: Dell Products L.P.
    Inventors: Malak Alshawabkeh, Kunxiu Gao, Kuolin Hua
  • Publication number: 20230325092
    Abstract: A method of predicting usage levels of solid-state drives (SSDS) includes receiving time series usage data from each SSD over a plurality of monitoring intervals (lags), and using a first portion of the time series usage data to train (fit) an ARIMA model to the time series data. A unique ARIMA model (order) is determined for each SSD from the unique time series % usage data of each SSD. The ARMIA model is then fit to the time series % usage data and used in a predictive manner to predict a future date when the % usage will exceed a threshold % usage value. By predicting when the SSDs will meet particular thresholds, it is possible to plan for and procure replacement SSDs to enable currently installed SSDs to be removed from service before the currently installed SSD % usage levels exceed threshold values, thus enabling the currently installed SSDs to be repurposed.
    Type: Application
    Filed: April 11, 2022
    Publication date: October 12, 2023
    Inventors: Malak Alshawabkeh, Sunil Gumaste, Ravish Sachdeva, Pankaj Soni, Christopher Allison
  • Patent number: 11782798
    Abstract: A multivariate time series model such as a Vector Auto Regression (VAR) model is built using fabric utilization, disk utilization, and CPU utilization time series data. The VAR model leverages interdependencies between multiple time-dependent variables to predict the start and length of an aperiodic backup time window, and to cause backup operations to occur during the aperiodic backup time window to thereby exploit the aperiodic backup time window for use in connection with backup operations. By automatically starting backup operations during predicted aperiodic backup time windows where the CPU, disk, and fabric utilization values are predicted to be low, it is possible to implement backup operations during time windows where the backup operations are less likely to interfere with primary application workloads, or system application workloads that need to be implemented to maintain optimal operation of the storage system.
    Type: Grant
    Filed: February 11, 2022
    Date of Patent: October 10, 2023
    Assignee: Dell Products, L.P.
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh
  • Publication number: 20230297260
    Abstract: A data storage node includes a plurality of compute nodes that allocate portions of local memory to a shared cache. The shared cache is configured with mirrored and non-mirrored segments that are sized as a function of the percentage of write IOs and read 10s in a historical traffic workload profile specific to an organization or storage node. The mirrored and non-mirrored segments are separately configured with pools of data slots. Within each segment, each pool is associated with same-size data slots that differ in size relative to the data slots of other pools. The sizes of the pools in the mirrored segment are set based on write IO size distribution in the historical traffic workload profile. The sizes of the pools in the non-mirrored segment are set based on read IO size distribution in the historical traffic workload profile.
    Type: Application
    Filed: March 18, 2022
    Publication date: September 21, 2023
    Applicant: Dell Products L.P.
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh, Kaustubh Sahasrabudhe
  • Patent number: 11740816
    Abstract: A data storage node includes a plurality of compute nodes that allocate portions of local memory to a shared cache. The shared cache is configured with mirrored and non- mirrored segments that are sized as a function of the percentage of write IOs and read IOs in a historical traffic workload profile specific to an organization or storage node. The mirrored and non-mirrored segments are separately configured with pools of data slots. Within each segment, each pool is associated with same-size data slots that differ in size relative to the data slots of other pools. The sizes of the pools in the mirrored segment are set based on write IO size distribution in the historical traffic workload profile. The sizes of the pools in the non-mirrored segment are set based on read IO size distribution in the historical traffic workload profile.
    Type: Grant
    Filed: March 18, 2022
    Date of Patent: August 29, 2023
    Assignee: Dell Products L.P.
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh, Kaustubh Sahasrabudhe
  • Publication number: 20230259429
    Abstract: A multivariate time series model such as a Vector Auto Regression (VAR) model is built using fabric utilization, disk utilization, and CPU utilization time series data. The VAR model leverages interdependencies between multiple time-dependent variables to predict the start and length of an aperiodic backup time window, and to cause backup operations to occur during the aperiodic backup time window to thereby exploit the aperiodic backup time window for use in connection with backup operations. By automatically starting backup operations during predicted aperiodic backup time windows where the CPU, disk, and fabric utilization values are predicted to be low, it is possible to implement backup operations during time windows where the backup operations are less likely to interfere with primary application workloads, or system application workloads that need to be implemented to maintain optimal operation of the storage system.
    Type: Application
    Filed: February 11, 2022
    Publication date: August 17, 2023
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh
  • Publication number: 20230229315
    Abstract: The lifespans of the solid stated drives (SSDs) of a storage array are modeled using linear regression with monitored wear level and power-on time. The models predict when individual SSDs will reach a wear level corresponding to readiness for replacement. A drive replacement process makes efficient use of available empty drive slots to replace SSDs in batches. SSDs that are ready for replacement are ranked in terms of priority for replacement. If the number of SSDs that are ready for replacement exceeds the number of available empty drive slots, then ranking us used to assign individual SSDs to different batches for replacement.
    Type: Application
    Filed: January 20, 2022
    Publication date: July 20, 2023
    Applicant: Dell Products L.P.
    Inventors: Malak Alshawabkeh, Kunxiu Gao, Kuolin Hua
  • Patent number: 11662908
    Abstract: An amount of storage space required to maintain counter information for a storage system is reduced without reducing a temporal granularity or tracking granularity of the counter information. Rather than periodically recording actual (i.e., raw) counter values for counters, difference (i.e., delta) values may be recorded. For a given counter, a difference (delta value) between a value of the counter for a given point in time (PIT) and a value of the counter for a previous PIT may be determined, and this delta value may be stored as opposed to storing the raw counter value. This delta value may be a significantly smaller value than the raw value. To further reduce the amount of storage space required, no value may be stored for a counter for a given PIT if it is determined that there is no difference between a counter value for the given PIT and a previous PIT.
    Type: Grant
    Filed: June 30, 2021
    Date of Patent: May 30, 2023
    Assignee: EMC IP Holding Company LLC
    Inventors: Abhilash Sanap, Sunil Gumaste, Pankaj Soni, Ravish Sachdeva, Malak Alshawabkeh
  • Patent number: 11599441
    Abstract: Embodiments of the present disclosure relate to throttling processing threads of a storage device. One or more input/output (I/O) workloads of a storage device can be monitored. One or more resources consumed by each thread of each storage device component to process each operation included in a workload can be analyzed. Based on the analysis, consumption of each resource consumed by each thread can be controlled.
    Type: Grant
    Filed: April 2, 2020
    Date of Patent: March 7, 2023
    Assignee: EMC IP Holding Company LLC
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh, Mohammed Asher, Rong Yu
  • Patent number: 11593267
    Abstract: Aspects of the present disclosure relate to asynchronous memory management. In embodiments, an input/output (IO) workload is received at a storage array. Further, one or more read-miss events corresponding to the IO workload are identified. Additionally, at least one of the storage array's cache slots is bound to a track identifier (TID) corresponding to the read-miss events based on one or more of the read-miss events' two-dimensional metrics.
    Type: Grant
    Filed: October 28, 2021
    Date of Patent: February 28, 2023
    Assignee: EMC IP Holding Company LLC
    Inventors: Ramesh Doddaiah, Malak Alshawabkeh, Rong Yu, Peng Wu
  • Patent number: 11586976
    Abstract: Testcase recommendations are generated for a testcase creator application by training a learning function using metadata of previously generated testcases by parsing the metadata into steptasks, and providing the parsed metadata to the learning function to enable the learning function to determine relationships between the steptasks of the previously generated testcases, and using, by the testcase creator application, the trained learning function to obtain a predicted subsequent steptask for a given type of testcase to be generated. Each steptask describes one of the steps of the testcase using a concatenation of a step number of the one of the steps of the testcase, a module and a submodule to be used to perform of the one of the steps of the testcase, and a function to be performed at the one of the steps of the testcase.
    Type: Grant
    Filed: July 23, 2019
    Date of Patent: February 21, 2023
    Assignee: Dell Products, L.P.
    Inventors: Malak Alshawabkeh, Motasem Awwad, Samer Badran