Abstract: A mechanism is described for provisioning remote desktops in a cloud based infrastructure while maintaining user personalization. In cloud based systems, a user may not always reconnect to the same VM endpoint. In one embodiment, the virtual hard disk assigned to a user is mounted to the endpoint assigned to the user. The virtual hard disk includes the user's personal data and personalization information (e.g., settings, profiles, files, etc.). When the user disconnects from the remote desktop, the virtual hard disk is demounted from the endpoint. The virtual hard disk thus provides information regarding the user's state when the user is disconnected.

Abstract: A mechanism is described for provisioning remote desktops in a cloud based infrastructure while maintaining user personalization. In cloud based systems, a user may not always reconnect to the same VM endpoint. In one embodiment, the virtual hard disk assigned to a user is mounted to the endpoint assigned to the user. The virtual hard disk includes the user's personal data and personalization information (e.g., settings, profiles, files, etc.). When the user disconnects from the remote desktop, the virtual hard disk is demounted from the endpoint. The virtual hard disk thus provides information regarding the user's state when the user is disconnected.

Abstract: A mechanism is described for provisioning remote desktops in a cloud based infrastructure while maintaining user personalization. In cloud based systems, a user may not always reconnect to the same VM endpoint. In one embodiment, the virtual hard disk assigned to a user is mounted to the endpoint assigned to the user. The virtual hard disk includes the user's personal data and personalization information (e.g., settings, profiles, files, etc.). When the user disconnects from the remote desktop, the virtual hard disk is demounted from the endpoint. The virtual hard disk thus provides information regarding the user's state when the user is disconnected.

Abstract: A mechanism is described for provisioning remote desktops in a cloud based infrastructure while maintaining user personalization. In cloud based systems, a user may not always reconnect to the same VM endpoint. In one embodiment, the virtual hard disk assigned to a user is mounted to the endpoint assigned to the user. The virtual hard disk includes the user's personal data and personalization information (e.g., settings, profiles, files, etc.). When the user disconnects from the remote desktop, the virtual hard disk is demounted from the endpoint. The virtual hard disk thus provides information regarding the user's state when the user is disconnected.

Abstract: A mechanism is described for provisioning remote desktops in a cloud based infrastructure while maintaining user personalization. In cloud based systems, a user may not always reconnect to the same VM endpoint. In one embodiment, the virtual hard disk assigned to a user is mounted to the endpoint assigned to the user. The virtual hard disk includes the user's personal data and personalization information (e.g., settings, profiles, files, etc.). When the user disconnects from the remote desktop, the virtual hard disk is demounted from the endpoint. The virtual hard disk thus provides information regarding the user's state when the user is disconnected.

Abstract: A mechanism is provided for scalably creating and deploying a network of virtual computers with common desktop images in a cloud computing environment. An administrator is provided an interface for defining a user desktop comprising an OS and a set of applications and associated settings. The administrator may further enter the number of roles or remote users. Based on this information the system creates a golden image or master template of the desktop and propagates the image throughout the cloud platform. The underlying provisioning of the virtual machines in the cloud is transparent to the user. The same automated mechanism used for creating the golden image is also used to update the golden image whenever there are updates to the OS or any applications and settings. The system automatically propagates the new image throughout the cloud platform.

Abstract: In an aggregated file system, a method of processing a user file retrieves user file metadata and user data from a metadata server and applies operations to the user data in accordance with a file open request from a client. At the end of the process, the method stores the processed user data at a location in accordance with a predefined rule and updates the metadata in the metadata server to reference the processed user data at the location. In some embodiments, the predefined rule is to choose a location between the metadata server and a separate storage server in accordance with the size of the processed user data. If the size is still smaller than a predetermined threshold, the user data is stored in the metadata server. Otherwise, the user data is stored in the storage server.

Abstract: A method of operating a multi-dimensional database is disclosed. In this method, a multi-dimensional portion of the data is transferred to a multi-dimensional database. A relational portion of the cube is kept in the relational database. When data from the relational portion needs to be accessed, the system produces the SQL queries to obtain data from the relational database.

Abstract: In an aggregated file system, a method of processing a user file retrieves its metadata and user data from a metadata server and applies operations to the user data in accordance with a file open request from a client. At the end of the process, the method stores the processed user data at a location in accordance with a predefined rule and updates the metadata in the metadata server to reference the processed user data at the location. In some embodiments, the predefined rule is to choose a location between the metadata server and a separate storage server in accordance with the size of the processed user data. If the size is still smaller than a predetermined threshold, the user data is stored in the metadata server. Otherwise, the user data is stored in the storage server.

Abstract: A method of operating a multi-dimensional database is disclosed. In this method, a multi-dimensional portion of the data is transferred to a multi-dimensional database. A relational portion of the cube is kept in the relational database. When data from the relational portion needs to be accessed, the system produces the SQL queries to obtain data from the relational database.

Abstract: A method of operating a multi-dimensional database is disclosed. In this method, a multi-dimensional portion of the data is transferred to a multi-dimensional database. A relational portion of the cube is kept in the relational database. When data from the relational portion needs to be accessed, the system produces the SQL queries to obtain data from the relational database.

Abstract: A method of operating a multi-dimensional database is disclosed. In this method, a multi-dimensional portion of the data is transferred to a multi-dimensional database. A relational portion of the cube is kept in the relational database. When data from the relational portion needs to be accessed, the system produces the SQL queries to obtain data from the relational database.