Advantages And Disadvantages Of Distributed File System

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1.3.4.2 HADOOP DISTRIBUTED FILESYSTEM (HDFS)
File systems that manage the storage across a network of machines area unit referred to as distributed file systems. Since they're network-based, all the complications of schedule kick in, therefore creating distributed file systems a lot of advanced than regular computer file systems. for instance, one in every of the largest challenges is creating the classification system tolerate node failure while not suffering knowledge loss. Hadoop comes with a distributed classification system referred to as HDFS, that stands for Hadoop Distributed classification system. HDFS, the Hadoop Distributed classification system, may be a distributed classification system designed to carry terribly massive amounts
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Queues area unit allotted a fraction of the capability of the grid within the sense that a definite capability of resources are going to be at their disposal. All jobs submitted to a queue can have access to the capability allotted to the queue. directors will tack soft limits and facultative exhausting limits on the capability allotted to every queue.
• Security - every queue has strict ACLs that controls that users will submit jobs to individual queues. Also, there area unit safe-guards to make sure that users cannot read and/or modify jobs from different users if therefore desired. Also, per-queue and computer user roles area unit supported.
• Elasticity - Free resources is allotted to any queue on the far side it's capability. once there's demand for these resources from queues running below capability at a future purpose in time, as tasks scheduled on these resources complete, they'll be allotted to jobs on queues running below the capability. This ensures that resources area unit offered in an exceedingly inevitable and elastic manner to queues, therefore preventing artificial silos of resources within the cluster that helps
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