Abstract: In some examples, a system aggregates operational metric data of a plurality of storage volumes into aggregated operational metric data groups that correspond to different workload types of workloads for accessing data of a storage system. The system computes an operational metric for a first workload type of the different workload types, the operational metric relating to a resource of the storage system, where the computing of the operational metric for the first workload type comprises inputting aggregated operational metric data of a first aggregated operational metric data group of the aggregated operational metric data groups into a model trained at a system level of the storage system.

Abstract: A Searchable Application Representation is generated with the exact structure, content, functionality, and behavior of the Native Mobile Applications and is searchable by Search Engines by providing metadata pointing to the Native Mobile Applications. The Search Engine searches the Searchable Application Representation. When the Search Engine finds the Searchable Application Representation, Pointer, Metadata and Search Material to Corresponding Native Mobile Application on the Internet, the Search Engine becomes aware of the Native Mobile Application and can search the Content contained in the Searchable Application Representation. The Search Engine finds and ranks Content in the Searchable Representation and Pointer, Metadata, and Search Material corresponding to such Content in the Native Mobile Application is passed to the Search Engine, which can use such information to determine the relevancy of such Content according to a certain Search Criteria.

Abstract: In some examples, a system assigns workload fingerprints to each respective storage volume of a plurality of storage volumes, the workload fingerprints assigned to the respective storage volume across a plurality of points. Based on the workload fingerprints assigned to respective storage volumes of the plurality of storage volumes, the system groups the storage volumes into clusters of storage volumes. The system manages an individual cluster of the clusters of storage volumes according to an attribute associated with the individual cluster.

Abstract: A System Solution automatically generates a set of Native and Non-Native Application Clients which include updating functionality capable of generating update commands to instruct the System Solution to generate an updated set of Native and Non-Native Application Clients. Using the generated Application Clients, an employee of a Business Entity coupled with the System Solution instructs the System Solution to create a new updated set of Native and Non-Native Application Clients that are automatically downloaded to devices used by the customers of the Business Entity. The System Solution also automatically generates an Update Command Dictionary which, when downloaded to a Manager Client Device, allows an employee of the Business Entity to use a General Third Party Application, such as a SMS, email, or messaging application commonly available on a mobile device, to generate update commands to instruct the System Solution to generate an updated set of Native and Non-Native Application Clients.

Abstract: A high-level functionality generates a Data Model which is used to automatically generate Applications comprising Application Clients, Application Servers, Client-Server Protocols, Dashboards and other components. These Applications are derived for different mobile and non-mobile's Operating Systems. This functionality uses Services, Service Representation, Application Flow, Rules, and Presentation Attributes. The input for the automation is a very high-level, “service” level “language,” from which all parts are automatically generated. The output of the automation also includes a way to validate the correctness of the generated Applications. The generated Dashboard provide a Business Entity with functionality to continuously update the generated Data Model based on the Services and Business Entity data, and from the updated Data Model automatically generate updated versions of the Application.

Abstract: A System Solution offers a Business Entity a way to update a Native Application Client by directly downloading a new version of the Application Client from an Application Server bypassing the Application Store. A Native Application Client is updated while the current Native Application Client is running on the Client Device. A Native Application Client is divided into a Native Layer which runs directly on the Operating System of the Client Device and a Dynamic Layer that runs on the Native Layer. The System Solution automatically generates Application Clients, Application Servers, and Dashboards. The Business Entity uses the generated Dashboards to modify the Dynamic Layer by generating a new Dynamic Layer and making it available for download to the Client Device. The Navigation Parameters can be set in the Dynamic Layer allowing the Business Entity to change the application flow of the Native Application Client.

Abstract: A system solution offers a Business Entity an automatically generated set of User Interfaces to run on a plurality of Client Devices of different characteristics in terms of operating system, hardware, and look and feel, and yet provide the same user experience. A User Interface that offers a user experience on a Reference Client Device is automatically translated to offer the same user experience on a plurality of Client Device having different characteristics from the Reference Client Device. The objects displayed in the User Interface for the Reference Client Device are placed on a Translation Grid that is generated and superimposed on the User Interface. A Client Translator and Generator translates the User Interface from the Reference Client to the plurality of Client Devices using the Translation Grid and a set of Translation Rules. A measurement of the automatic translation process identifies optimal and sub-optimal translation for each Client Device.

Abstract: In some examples, a system aggregates operational metric data of a plurality of storage volumes into aggregated operational metric data groups that correspond to different workload types of workloads for accessing data of a storage system. The system computes an operational metric for a first workload type of the different workload types, the operational metric relating to a resource of the storage system, where the computing of the operational metric for the first workload type comprises inputting aggregated operational metric data of a first aggregated operational metric data group of the aggregated operational metric data groups into a model trained at a system level of the storage system.

Abstract: A Position Identification Solution offers a way to determine the position of a Mobile Device by defining a set of known positions and an associated set of objects, shapes, or attributes. A Mobile Device determines its position by scanning an object, shape, or attribute using an included camera, and a Mobile Application running on the Mobile Device recognizes a specific object, shape, or attribute, and determines a corresponding position, which is used to compute the position of the Mobile Device. The Position Identification Solution may use shapes, colors, or combinations of shape and colors. The Position Identification Solution may be used together with other positioning systems in a Hybrid Positioning System to compute the position of the Mobile Device with increased accuracy.

Abstract: In some examples, a system aggregates operational metric data of a plurality of storage volumes into aggregated operational metric data groups that correspond to different workload types of workloads for accessing data of a storage system. The system computes an operational metric for a first workload type of the different workload types, the operational metric relating to a resource of the storage system, where the computing of the operational metric for the first workload type comprises inputting aggregated operational metric data of a first aggregated operational metric data group of the aggregated operational metric data groups into a model trained at a system level of the storage system.

Abstract: A Searchable Application Representation is generated with the exact structure, content, functionality, and behavior of the Native Mobile Applications and is searchable by Search Engines by providing metadata pointing to the Native Mobile Applications. The Search Engine searches the Searchable Application Representation. When the Search Engine finds the Searchable Application Representation, Pointer, Metadata and Search Material to Corresponding Native Mobile Application on the Internet, the Search Engine becomes aware of the Native Mobile Application and can search the Content contained in the Searchable Application Representation. The Search Engine finds and ranks Content in the Searchable Representation and Pointer, Metadata, and Search Material corresponding to such Content in the Native Mobile Application is passed to the Search Engine, which can use such information to determine the relevancy of such Content according to a certain Search Criteria.

Abstract: A system solution offers a Business Entity an automatically generated set of User Interfaces to run on a plurality of Client Devices of different characteristics in terms of operating system, hardware, and look and feel, and yet provide the same user experience. A User Interface that offers a user experience on a Reference Client Device is automatically translated to offer the same user experience on a plurality of Client Device having different characteristics from the Reference Client Device. The objects displayed in the User Interface for the Reference Client Device are placed on a Translation Grid that is generated and superimposed on the User Interface. A Client Translator and Generator translates the User Interface from the Reference Client to the plurality of Client Devices using the Translation Grid and a set of Translation Rules. A measurement of the automatic translation process identifies optimal and sub-optimal translation for each Client Device.

Abstract: A System Solution of a Computing device and Computer hardware automatically generates a Data Model with a well-defined structure containing the Business Entity Data and a Service Representation with Services selected by a Business Entity. The System Solution applies the Data Model to an Automatic Application Generator that automatically generates an Application comprising a set of Native Application Clients for all desired platforms (mobile, non-mobile and Cloud), Application Servers, communication protocols, Dashboards, and other components. The output of the Automatic Application Generator provides a set of Application Clients for the particular platforms selected by the Business Entity and interacts with the Operating System of a Client Device. A Dashboard automatically generates Updated Applications based on the selected Services as desired by the Business Entity. The clients and servers communicate via an automatically generated Client-Server Protocol.

Abstract: A System Solution offers a Business Entity a way to update a Native Application Client by directly downloading a new version of the Application Client from an Application Server bypassing the Application Store. A Native Application Client is updated while the current Native Application Client is running on the Client Device. A Native Application Client is divided into a Native Layer which runs directly on the Operating System of the Client Device and a Dynamic Layer that runs on the Native Layer. The System Solution automatically generates Application Clients, Application Servers, and Dashboards. The Business Entity uses the generated Dashboards to modify the Dynamic Layer by generating a new Dynamic Layer and making it available for download to the Client Device. The Navigation Parameters can be set in the Dynamic Layer allowing the Business Entity to change the application flow of the Native Application Client.

Abstract: A Searchable Application Representation is generated with the exact structure, content, functionality, and behavior of the Native Mobile Applications and is searchable by Search Engines by providing metadata pointing to the Native Mobile Applications. The Search Engine searches the Searchable Application Representation. When the Search Engine finds the Searchable Application Representation, Pointer, Metadata and Search Material to Corresponding Native Mobile Application on the Internet, the Search Engine becomes aware of the Native Mobile Application and can search the Content contained in the Searchable Application Representation. The Search Engine finds and ranks Content in the Searchable Representation and Pointer, Metadata, and Search Material corresponding to such Content in the Native Mobile Application is passed to the Search Engine, which can use such information to determine the relevancy of such Content according to a certain Search Criteria.

Abstract: A system solution offers a Business Entity an automatically generated set of User Interfaces to run on a plurality of Client Devices of different characteristics in terms of operating system, hardware, and look and feel, and yet provide the same user experience. A User Interface that offers a user experience on a Reference Client Device is automatically translated to offer the same user experience on a plurality of Client Device having different characteristics from the Reference Client Device. The objects displayed in the User Interface for the Reference Client Device are placed on a Translation Grid that is generated and superimposed on the User Interface. A Client Translator and Generator translates the User Interface from the Reference Client to the plurality of Client Devices using the Translation Grid and a set of Translation Rules. A measurement of the automatic translation process identifies optimal and sub-optimal translation for each Client Device.

Abstract: A system solution offers a Business Entity an automatically generated set of User Interfaces to run on a plurality of Client Devices of different characteristics in terms of operating system, hardware, and look and feel, and yet provide the same user experience. A User Interface that offers a user experience on a Reference Client Device is automatically translated to offer the same user experience on a plurality of Client Device having different characteristics from the Reference Client Device. The objects displayed in the User Interface for the Reference Client Device are placed on a Translation Grid that is generated and superimposed on the User Interface. A Client Translator and Generator translates the User Interface from the Reference Client to the plurality of Client Devices using the Translation Grid and a set of Translation Rules. A measurement of the automatic translation process identifies optimal and sub-optimal translation for each Client Device.

Abstract: A System Solution offers a Business Entity a way to update a Native Application Client by directly downloading a new version of the Application Client from an Application Server bypassing the Application Store. A Native Application Client is updated while the current Native Application Client is running on the Client Device. A Native Application Client is divided into a Native Layer which runs directly on the Operating System of the Client Device and a Dynamic Layer that runs on the Native Layer. The System Solution automatically generates Application Clients, Application Servers, and Dashboards. The Business Entity uses the generated Dashboards to modify the Dynamic Layer by generating a new Dynamic Layer and making it available for download to the Client Device. The Navigation Parameters can be set in the Dynamic Layer allowing the Business Entity to change the application flow of the Native Application Client.

Abstract: In some examples, a system assigns workload fingerprints to each respective storage volume of a plurality of storage volumes, the workload fingerprints assigned to the respective storage volume across a plurality of points. Based on the workload fingerprints assigned to respective storage volumes of the plurality of storage volumes, the system groups the storage volumes into clusters of storage volumes. The system manages an individual cluster of the clusters of storage volumes according to an attribute associated with the individual cluster.

Abstract: In some examples, a system aggregates operational metric data of a plurality of storage volumes into aggregated operational metric data groups that correspond to different workload types of workloads for accessing data of a storage system. The system computes an operational metric for a first workload type of the different workload types, the operational metric relating to a resource of the storage system, where the computing of the operational metric for the first workload type comprises inputting aggregated operational metric data of a first aggregated operational metric data group of the aggregated operational metric data groups into a model trained at a system level of the storage system.