Descarga de software de prueba de recuperación de datos y archivos. R- Studio Emergency se ejecuta desde cualquier unidad extraíble cuando es necesario recuperar los datos de un ordenador cuyo sistema operativo no se puede iniciar porque sus archivos de sistema han sido dañados o eliminados. Existen dos versiones de R- Studio Emergency: R- Studio Emergency TUI (Text User Interface/Interfaz de texto de usuario) y R- Studio Emergency GUI (Graphical User Interface/ Interfaz gráfica de usuario). Creador de medios de arranque de R- Studio Emergency se instala en un sistema operativo de Windows y crea un conjunto de disquetes de arranque** de R- Studio Emergency (TUI o GUI), cualquier medio de arranque extraíble*** o una imagen de ISO para CD/DVD de inicio (disponible para descarga directa abajo). Imágenes de ISO de R- Studio Emergency se utilizan para crear discos compactos de inicio de R- Studio Emergency****. Para crear un disco compacto de inicio debe utilizar cualquier herramienta de grabación de discos y la imagen de ISO descargada. Puede descargar imágenes de ISO de emergencia de R- Studio para los ordenadores/servidores New World Macintosh basados en Power. Use la Recuperación del sistema de HP para reinstalar o restaurar un equipo HP con Windows 8 a un estado anterior. Reparar el arranque de Windows 7 usando el símbolo del sistema que se puede ejecutar desde las opciones de recuperación o desde el mismo DVD original. Entonces, como recuperar archivos de una memoria USB dañada? Una herramienta eficiente que se encuentra disponible para este fin es SoftOrbits Flash Drive Recovery. PC (desde 2. 00. 1) y compatibles con UNIX, así como para los Macintosh basados en Intel, ordenadores/servidores de Windows, Linux y UNIX.* Ambas visiones tienen la misma funcionalidad, pero R- Studio Emergency GUI no se puede iniciar en un ordenador cuya tarjeta gráfica no es compatible con la herramienta. Los disquetes admiten una cantidad limitada de dispositivos de almacenamiento/de red y no se recomiendan para crear un CD de inicio.*** Medios USB de inicio o unidades ZIP también se pueden crear y utilizar, si el BIOS de su ordenador admite arranque desde estos medios.**** R- Studio Emergency está incluido en el paquete de R- Studio pero su clave de activación se genera por separado y requiere el código de hardware. La clave de registro se puede solicitar a través de la Consola de usuario registrado durante un año a partir de la fecha de compra.¡Note, por favor! Si el nombre de archivo ejecutable o/y la extensión se han dañado durante el proceso de descarga, pero el tamaño de archivo es correcto, por favor, simplemente cambie el nombre del archivo descargado a un nombre correcto e inicie la instalación. ![]() Una plataforma compatible con Intel que funciona con Windows 2000/XP/ 2003/Vista/2008/Windows 7/8/8.1/10 / Windows Server 2012 (incluso ediciones de 64 bits).Cómo recuperar un portátil Toshiba mediante el procedimiento de recuperación de unidad de disco duro. Delete all partitions and overwrite all sectors on the hard disk (eliminar todas las particiones y sobrescribir todos los sectores - proceso de eliminación muy lento- )Este proceso puede tardar varias horas, en función del tamaño de la unidad de disco duro. Nota: Se perderán todos los datos de la HDD y la opción de recuperación de la HDD no ya volverá a estar disponible, si desea recuperar de nuevo el portátil. Asegúrese de que crea un DVD de recuperación para posibles usos en el futuros. Atención! Desconecte todos los dispositivos de almacenamiento externos, como HDD externas, unidades USB, tarjetas SD, etc. Haga clic en "Next" (siguiente) para continuar. Verá una pantalla de advertencia con el siguiente mensaje: PRECAUCIÓNPerderá todos los datos del disco duro al realizar esta operación. Se eliminarán los datos del siguiente o los siguientes discos duros. Toshiba MKxxxxxxx. GSX (esto es un ejemplo)Si no desea eliminar los datos del disco o los discos duros enumerados más arriba, pulse [Cancelar]. Si hay una unidad de disco duro externa conectada al sistema, se enumerará en la lista anterior. ![]() No obstante, si no desea eliminar los datos de la unidad de disco duro, desconéctela del ordenador. El nombre de la unidad de disco se eliminará de la lista unos segundos después, tras lo cual podrá continuar. Pulse [Next> ] para iniciar la eliminación de los datos del disco o los discos duros de la lista anterior. Pulse "Next" ahora si desea eliminar todos los datos de los discos duros enumerados. El disco o los discos duros se eliminarán ahora. Una vez finalizada la eliminación, aparecerá la siguiente pantalla. La eliminación de todos los datos y particiones ha finalizado. Pulse [Finalizar] para apagar el ordenador.
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Java(TM) - see bottom of page. Our valued sponsors who help make this site possible. Discover the fastest Java Multi- Model DBMS with an Apache 2 License Note that this page is very large. The tips on this page are categorized. Use. the tips index page to access smaller focused listings of tips. This page lists many other pages available on the web, together with a condensed. For the most part I've eliminated. Remember that. the tuning tips listed are not necessarily good coding practice. ![]() They. are performance optimizations that you probably should not use throughout. Instead they apply to speeding up critical sections of code. The tips here include only those that are available online for free. I do not intend to summarize. Java Performance Tuning). The tips here are of very variable quality and usefulness, some real gems but. Comments in square brackets, [], have. Use this page by using your browser's "find" or "search" option to identify. This page is currently 4. KB. This page is updated once a month. You can receive. email notification of any changes by subscribing to the. Performance planning for managers (Page last updated February 2. Added 2. 00. 1- 0. Author Jack Shirazi, Publisher On. Java). Tips. Include budget for performance management. Create internal performance experts. Set performance requirements in the specifications. Include a performance focus in the analysis. Require performance predictions from the design. Create a performance test environment. Test a simulation or skeleton system for validation. Integrate performance logging into the application layer boundaries. Performance test the system at multiple scales and tune using the resulting information. Deploy the system with performance logging features. A long list of most of the tuning techniques covered in my "Java Performance Tuning" book (Page last updated August 2. Added 2. 00. 0- 1. Author Jack Shirazi, Publisher O'Reilly). Tips. [Since the referred to page is already a summary list, I have not extracted it here. Especially since there are nearly 3. Check the page out directly]. Comparing the performance of Linked. Lists and Array. Lists (and Vectors) (Page last updated May 2. Added 2. 00. 1- 0. Author Jack Shirazi, Publisher On. Java). Tips. Array. List is faster than Vector except when there is no lock acquisition required in Hot. Spot JVMs (when they have about the same performance). Vector and Array. List implementations have excellent performance for indexed access and update of elements, since there is no overhead beyond range checking. Adding elements to, or deleting elements from the end of a Vector or Array. List also gives excellent performance except when the capacity is exhausted and the internal array has to be expanded. Inserting and deleting elements to Vectors and Array. Lists always require an array copy (two copies when the internal array must be grown first). The number of elements to be copied is proportional to [size- index], i. The array copying overhead grows significantly as the size of the collection increases, because the number of elements that need to be copied with each insertion increases. For insertions to Vectors and Array. Lists, inserting to the front of the collection (index 0) gives the worst performance, inserting at the end of the collection (after the last element) gives the best performance. Linked. Lists have a performance overhead for indexed access and update of elements, since access to any index requires you to traverse multiple nodes. Linked. List insertions/deletion overhead is dependent on the how far away the insertion/deletion index is from the closer end of the collection. Synchronized wrappers (obtained from Collections. List(List)) add a level of indirection which can have a high performance cost. Only List and Map have efficient thread- safe implementations: the Vector and Hashtable classes respectively. List insertion speed is critically dependent on the size of the collection and the position where the element is to be inserted. For small collections Array. List and Linked. List are close in performance, though Array. List is generally the faster of the two. Precise speed comparisons depend on the JVM and the index where the object is being added. Pre- sizing Array. Lists and Vectors improves performance significantly. Linked. Lists cannot be pre- sized. Array. Lists can generate far fewer objects for the garbage collector to reclaim, compared to Linked. Lists. For medium to large sized Lists, the location where elements are to inserted is critical to the performance of the list. Array. Lists have the edge for random access. A dedicated List implementation designed to match data, collection types and data manipulation algorithms will always provide the best performance. Array. List internal node traversal from the start to the end of the collection is significantly faster than Linked. List traversal. Consequently queries implemented in the class can be faster. Iterator traversal of all elements is faster for Array. List compared to Linkedlist. Using the Weak. Hash. Map class (Page last updated June 2. Added 2. 00. 1- 0. Author Jack Shirazi, Publisher On. Java). Tips. Weak. Hash. Map can be used to reduce memory leaks. Keys that are no longer strongly referenced from the application will automatically make the corresponding value reclaimable. To use Weak. Hash. Map as a cache, the keys that evaluate as equal must be recreatable. Using Weak. Hash. Map as a cache gives you less control over when cache elements are removed compared with other cache types. Clearing elements of a Weak. Hash. Map is a two stage process: first the key is reclaimed, then the corresponding value is released from the Weak. Hash. Map. String literals and other objects like Class which are held directly by the JVM are not useful as keys to a Weak. Hash. Map, as they are not necessarily reclaimable when the application no longer references them. The Weak. Hash. Map values are not released until the Weak. Hash. Map is altered in some way. For predictable releasing of values, it may be necessary to add a dummy value to the Weak. Hash. Map. If you do not call any mutator methods after populating the Weak. Hash. Map, the values and internal Weak. Reference objects will never be dereferenced [no longer true from 1. Weak. Hash. Map wraps an internal Hash. Map adding an extra level of indirection which can be a significant performance overhead. Every call to get() creates a new Weak. Reference object. Weak. Hash. Map. size() iterates through the keys, making it an operation that takes time proportional to the size of the Weak. Hash. Map. [no longer true from 1. Weak. Hash. Map. is. Empty() iterates through the collection looking for a non- null key, so a Weak. Hash. Map which is empty requires more time for is. Empty() to return than a similar Weak. Hash. Map which is not empty. Empty() is now slower than previous versions]. A high level overview of technical performance tuning, covering 5 levels of tuning competence. Page last updated November 2. Added 2. 00. 0- 1. Author Jack Shirazi, Publisher O'Reilly). Tips. Start tuning by examining the application architecture for potential bottlenecks. Architecture bottlenecks are often easy to spot: they are the connecting lines on the diagrams; the single threaded components; the components with many connecting lines attached; etc. Ensure that application performance is measureable for the given performance targets. Ensure that there is a test environment which represents the running system. This test- bed should support testing the application at different loads, including a low load and a fully scaled load representing maximum expected usage. After targeting design and architecture, the biggest bang for your buck in terms of improving performance is choosing a better VM, and then choosing a better compiler. Start code tuning with proof of concept bottleneck removal: this consists of using profilers to identify bottlenecks, then making simplified changes which may only improve the performance at the bottleneck for a specialized set of activities, and proceeding to the next bottleneck. After tuning competence is gained, move to full tuning. Each multi- user performance test can typically take a full day to run and analyse. Even simple multi- user performance tuning can take several weeks. 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