what is the difference between optimization and defragmentation?
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HD "Optimization" and "Defragmentation" is the same thing. The windows file system is "lazy", designed to minimize "write head" movement. ... Over time the free blocks become more scattered, making large files written in scattered blocks. It is "fragmented".
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The main difference between annealing and normalizing is that annealing allows the material to cool at a controlled rate in a furnace. Normalizing allows the material to cool by placing it in a room temperature environment and exposing it to the air in that environment.
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You can think of an unoptimized load as reading the table one record at a time. Whereas, the optimized load is reading in chunks of records at a time. If your QVDis relatively small you will hardly notice a difference. When you are working with larger QVDs you will definitely see the impact.
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The segregated and coupled approaches differ in the way that the continuity, momentum, and (where appropriate) energy and species equations are solved: the segregated solver solves these equations sequentially (i.e., segregated from one another), while the coupled solver solves them simultaneously (i.e., coupled ...
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While GA is more suitable for discrete optimization, PSO and DE are more natural for continuous optimization. ... While GA is more well-established because of its much earlier intro- duction, the more recent PSO and DE algorithms have started to attract more attention especially for continu- ous optimization problems.
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Quoting directly from the paper – “VMs stored on NetApp storage arrays should not use disk defragmentation utilities because the WAFL file system is designed to optimally place and access data at a level below the guest operating system (GOS) file system.
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Cloud computing requires higher processing power than cloud storage. ... Cloud storage is simply a data storage and sharing medium, while cloud computing gives you the ability to remotely work on and transform data (for example, coding an application remotely).
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Efficiency : Merge sort is more efficient and works faster than quick sort in case of larger array size or datasets. Quick sort is more efficient and works faster than merge sort in case of smaller array size or datasets.
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Target-based deduplication takes place at the drive where the data is stored. Inline deduplication requires less storage space than post-process deduplication. With post-processing, the data is written to storage before deduplication happens.
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The ff package provides atomic data structures that are stored on disk but behave (almost) as if they were in RAM by mapping only a section (pagesize) into main memory (the effective main memory consumption per ff object). Several access optimization techniques such as Hyrid Index Preprocessing ( as.
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Global optimization. Global optimization is distinguished from local optimization by its focus on finding the minimum or maximum over the given set, as opposed to finding local minima or maxima. Finding an arbitrary local minimum is relatively straightforward by using classical local optimization methods.
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Used correctly, digital technology can eliminate generation loss. Copying a digital file gives an exact copy if the equipment is operating properly. ... Processing a lossily compressed file rather than an original usually results in more loss of quality than generating the same output from an uncompressed original.
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However, the main difference is that greedy algorithms have a local choice of the subproblem that will lead to an optimal answer. On the other hand, dynamic programming would solve all dependent subproblems and then select one that would lead to an optimal solution.
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The difference between machine dependent and machine independent code optimization is that the machine dependent optimization is applied to object code whereas, the machine independent code optimization is applied to intermediate code.
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Query optimization is the overall process of choosing the most efficient means of executing a SQL statement. SQL is a nonprocedural language, so the optimizer is free to merge, reorganize, and process in any order. The database optimizes each SQL statement based on statistics collected about the accessed data.
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Difference Between Flood-fill and Boundary-fill Algorithm. ... The crucial differing point in these algorithms is that the flood-fill first checks whether a random pixel is having the region's original colour or not. Conversely, the boundary-fill examines for boundary pixel and it has already been filled or not.
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As nouns the difference between allocation and reallocation is that allocation is the process or procedure for allocating things, especially money or other resources while reallocation is the act of reallocating; a second or subsequent allocation.