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= Laboratory Report - Cloud Computing & Services |
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|
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*_Authors_* |
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|=== |
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|
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| Oulis Evangelos | <cs151051@uniwa.gr> |
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| Drosos Katsimpras | <cs131110@uniwa.gr> |
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| Oulis Nikolaos | <cs161079@uniwa.gr> |
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| Kampoli Agathi | <cs131031@uniwa.gr> |
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|
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|=== |
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|
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//Metadata: |
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:description: Cloud Computing and Services, Hadoop, Kubernetes |
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:keywords: Cloud Computing Service Hadoop Kubernetes |
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:toc: right |
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:toc-title: Content Array |
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:toc-levels: 4 |
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:source-hilighter: highlight |
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:icons: font |
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|
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== Hadoop |
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Το Hadoop αποτελεί μία συλλογή από open-source βοηθητικά προγράμματα το αποία προσφέρουν |
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τα απαραίτητα εφόδια για την επίλυση προβλημάτων (υπολογιστικών προβλημάτων) τα οποία |
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διαθέτουν μεγάλο όγκο δεδομένων και υπολογισμών σε ένα πλέγμα υπολογιστών. Η κατάτμηση |
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των δεδομένων και η συνεργασία πολλών υπολογιστικών συστημάτων κάνει αυτό το framework |
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πολύ αποδοτικό ειδικά σε προβλήματα όπου τα δεδομένα είναι σε αυξημένη κλίμακα και οι |
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υπολογσιστικές πράξεις για μία ορισμένη επεξεργασία πολύπλοκες. |
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|
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=== Utilities |
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Το framework αποτελείται από ένα προγραμματισμένο μοντέλο *Map Reduce* το οποίο αποτελείται |
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από ένα κατανεμημένο σύστημα αποθήκευσης (storage) για την επεξεργασία δεδομένων μεγάλης κλίμακας |
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(Big Data Processing). |
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|
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== Why? |
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Το hadoop έχει αναπτυχθεί για μεγάλα υπολογιστικά συστήματα (clusters) τα οποία αποτελούνται |
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από 2, 3 ακόμα και εκατοντάδες υπολογιστικές μηχανές. Το υλικό αυτών των μηχανών (commodity |
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hardware) να αποτελείται από υλικό εξειδικευμένο για παράλληλο υπολογισμό το αποίο από τη φύση |
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του είναι φτηνό. Ακόμα, έχει αναπτυχθεί και χρησιμοποιείται και σε πλέγματα υπολογιστών |
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όπου τα μηχανήματα διαθέτουν πιο αποδοτικό hardware. |
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|
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== How? |
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Όλα τα κομμάτια του hadoop έχουν αναπτυχθεί με σκοπό την διαχείριση των σφαλμάτων του Hardware με |
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μηχανισμούς που ορίζει το Framework. |
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== Hadoop Description |
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Ο πυρήνας του hadoop αποτελείται από ένα μέρος που αφορά την αποθήκη των δεδομένων. Είναι γνωστή ως |
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*Hadoop Distributed File System (HDFS)*, και το μέρος την υπολογιστικής επεηεργασίας δεδομένων που είναι |
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γνωστό ως *MapReduce programming Model*. |
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|
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=== Hadoop Destributed File System (HDFS) |
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Το Hadoop Desctributed File System αποτελείται από έναν κατανεμημένο χώρο αποθήκευσης ο οποίος |
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μοιράζεται από τις υπολογιστικές μηχανές ενός πλέγματος όπου το Hadoop διαχειρίζεται. Η κύρια |
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λειτουργία του είναι η κατάτμηση των αρχείων σε μεγάλα τμήματα (blocks) και η κατανομή αυτών |
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σε όλες τις μηχανές του πλέγματος (cluster). |
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Έπειτα αναλαμβάνει την διαμοίραση ενός τμήματος του |
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κώδικα ο οποίος είναι χρήσιμος για κάθε μηχανή, όπου τους δίνει τη δυνατότητα εφαρμογής ενός |
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συνόλου εντολών για την παράλληλη επεξεργασία των δεδομένων αντίστοιχα σε κάθε μηχανή. Αυτό δίνει |
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τη δυνατότητα στην κάθε μηχανή του πλέγματος να διαχειρίζεται το δικό της μέρος των δεδομένων σαν |
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να είναι στο τοπικό της σύστημα. |
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Αυτό επιτυγχάνει μεγάλες ταχύτητες στην επεξεργασία δεδομένων μεγάλης κλίμακας, και ακόμα ταχύτερη μπορεί |
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να γίνει όταν το δίκτυο το οποίο διέπει αυτό το πλέγμα προσφέρει μεγάλες ταχύτητες επικοινωνίες μεταξύ |
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των υπολογιστικών μηχανών. |
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|
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=== Hadoop Modules |
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* Hadoop Common – contains libraries and utilities needed by other Hadoop modules, |
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* Hadoop Distributed File System (HDFS) – a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster, |
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* Hadoop YARN – (introduced in 2012) a platform responsible for managing computing resources in clusters and using them for scheduling users' applications, |
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* Hadoop MapReduce – an implementation of the MapReduce programming model for large-scale data processing. |
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|
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== References |
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|
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* [1] link:++https://en.wikipedia.org/wiki/Apache_Hadoop++[Hadoop General Description] |
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<h1>Laboratory Report - Cloud Computing & Services</h1> |
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</div> |
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<div id="content"> |
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<div id="preamble"> |
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<div class="sectionbody"> |
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<div class="paragraph"> |
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<p><strong><em>Authors</em></strong></p> |
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</div> |
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<table class="tableblock frame-all grid-all stretch"> |
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<col style="width: 50%;"> |
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<col style="width: 50%;"> |
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</colgroup> |
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<tr> |
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<td class="tableblock halign-left valign-top"><p class="tableblock">Oulis Evangelos</p></td> |
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<td class="tableblock halign-left valign-top"><p class="tableblock"><<a href="mailto:cs151051@uniwa.gr">cs151051@uniwa.gr</a>></p></td> |
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</tr> |
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<tr> |
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<td class="tableblock halign-left valign-top"><p class="tableblock">Drosos Katsimpras</p></td> |
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<td class="tableblock halign-left valign-top"><p class="tableblock"><<a href="mailto:cs131110@uniwa.gr">cs131110@uniwa.gr</a>></p></td> |
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</tr> |
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<tr> |
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<td class="tableblock halign-left valign-top"><p class="tableblock">Oulis Nikolaos</p></td> |
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<td class="tableblock halign-left valign-top"><p class="tableblock"><<a href="mailto:cs161079@uniwa.gr">cs161079@uniwa.gr</a>></p></td> |
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</tr> |
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<tr> |
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<td class="tableblock halign-left valign-top"><p class="tableblock">Kampoli Agathi</p></td> |
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<td class="tableblock halign-left valign-top"><p class="tableblock"><<a href="mailto:cs131031@uniwa.gr">cs131031@uniwa.gr</a>></p></td> |
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</tr> |
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</tbody> |
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</table> |
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</div> |
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</div> |
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<div class="sect1"> |
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<h2 id="_hadoop">Hadoop</h2> |
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<div class="sectionbody"> |
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<div class="paragraph"> |
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<p>Το Hadoop αποτελεί μία συλλογή από open-source βοηθητικά προγράμματα το αποία προσφέρουν |
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τα απαραίτητα εφόδια για την επίλυση προβλημάτων (υπολογιστικών προβλημάτων) τα οποία |
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διαθέτουν μεγάλο όγκο δεδομένων και υπολογισμών σε ένα πλέγμα υπολογιστών. Η κατάτμηση |
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των δεδομένων και η συνεργασία πολλών υπολογιστικών συστημάτων κάνει αυτό το framework |
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πολύ αποδοτικό ειδικά σε προβλήματα όπου τα δεδομένα είναι σε αυξημένη κλίμακα και οι |
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υπολογσιστικές πράξεις για μία ορισμένη επεξεργασία πολύπλοκες.</p> |
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</div> |
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<div class="sect2"> |
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<h3 id="_utilities">Utilities</h3> |
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<div class="paragraph"> |
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<p>Το framework αποτελείται από ένα προγραμματισμένο μοντέλο <strong>Map Reduce</strong> το οποίο αποτελείται |
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από ένα κατανεμημένο σύστημα αποθήκευσης (storage) για την επεξεργασία δεδομένων μεγάλης κλίμακας |
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(Big Data Processing).</p> |
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</div> |
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</div> |
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</div> |
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</div> |
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<div class="sect1"> |
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<h2 id="_why">Why?</h2> |
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<div class="sectionbody"> |
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<div class="paragraph"> |
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<p>Το hadoop έχει αναπτυχθεί για μεγάλα υπολογιστικά συστήματα (clusters) τα οποία αποτελούνται |
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από 2, 3 ακόμα και εκατοντάδες υπολογιστικές μηχανές. Το υλικό αυτών των μηχανών (commodity |
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hardware) να αποτελείται από υλικό εξειδικευμένο για παράλληλο υπολογισμό το αποίο από τη φύση |
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του είναι φτηνό. Ακόμα, έχει αναπτυχθεί και χρησιμοποιείται και σε πλέγματα υπολογιστών |
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όπου τα μηχανήματα διαθέτουν πιο αποδοτικό hardware.</p> |
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</div> |
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</div> |
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</div> |
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<div class="sect1"> |
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<h2 id="_how">How?</h2> |
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<div class="sectionbody"> |
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<div class="paragraph"> |
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<p>Όλα τα κομμάτια του hadoop έχουν αναπτυχθεί με σκοπό την διαχείριση των σφαλμάτων του Hardware με |
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μηχανισμούς που ορίζει το Framework.</p> |
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</div> |
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</div> |
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</div> |
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<div class="sect1"> |
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<h2 id="_hadoop_description">Hadoop Description</h2> |
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<div class="sectionbody"> |
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<div class="paragraph"> |
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<p>Ο πυρήνας του hadoop αποτελείται από ένα μέρος που αφορά την αποθήκη των δεδομένων. Είναι γνωστή ως |
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<strong>Hadoop Distributed File System (HDFS)</strong>, και το μέρος την υπολογιστικής επεηεργασίας δεδομένων που είναι |
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γνωστό ως <strong>MapReduce programming Model</strong>.</p> |
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</div> |
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<div class="sect2"> |
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<h3 id="_hadoop_destributed_file_system_hdfs">Hadoop Destributed File System (HDFS)</h3> |
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<div class="paragraph"> |
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<p>Το Hadoop Desctributed File System αποτελείται από έναν κατανεμημένο χώρο αποθήκευσης ο οποίος |
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μοιράζεται από τις υπολογιστικές μηχανές ενός πλέγματος όπου το Hadoop διαχειρίζεται. Η κύρια |
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λειτουργία του είναι η κατάτμηση των αρχείων σε μεγάλα τμήματα (blocks) και η κατανομή αυτών |
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σε όλες τις μηχανές του πλέγματος (cluster).</p> |
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</div> |
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<div class="paragraph"> |
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<p>Έπειτα αναλαμβάνει την διαμοίραση ενός τμήματος του |
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κώδικα ο οποίος είναι χρήσιμος για κάθε μηχανή, όπου τους δίνει τη δυνατότητα εφαρμογής ενός |
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συνόλου εντολών για την παράλληλη επεξεργασία των δεδομένων αντίστοιχα σε κάθε μηχανή. Αυτό δίνει |
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τη δυνατότητα στην κάθε μηχανή του πλέγματος να διαχειρίζεται το δικό της μέρος των δεδομένων σαν |
|||
να είναι στο τοπικό της σύστημα.</p> |
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</div> |
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<div class="paragraph"> |
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<p>Αυτό επιτυγχάνει μεγάλες ταχύτητες στην επεξεργασία δεδομένων μεγάλης κλίμακας, και ακόμα ταχύτερη μπορεί |
|||
να γίνει όταν το δίκτυο το οποίο διέπει αυτό το πλέγμα προσφέρει μεγάλες ταχύτητες επικοινωνίες μεταξύ |
|||
των υπολογιστικών μηχανών.</p> |
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</div> |
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</div> |
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<div class="sect2"> |
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<h3 id="_hadoop_modules">Hadoop Modules</h3> |
|||
<div class="ulist"> |
|||
<ul> |
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<li> |
|||
<p>Hadoop Common – contains libraries and utilities needed by other Hadoop modules,</p> |
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</li> |
|||
<li> |
|||
<p>Hadoop Distributed File System (HDFS) – a distributed file-system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster,</p> |
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</li> |
|||
<li> |
|||
<p>Hadoop YARN – (introduced in 2012) a platform responsible for managing computing resources in clusters and using them for scheduling users' applications,</p> |
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</li> |
|||
<li> |
|||
<p>Hadoop MapReduce – an implementation of the MapReduce programming model for large-scale data processing.</p> |
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</li> |
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</ul> |
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</div> |
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</div> |
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</div> |
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</div> |
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<div class="sect1"> |
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<h2 id="_references">References</h2> |
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<div class="sectionbody"> |
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<div class="ulist"> |
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<ul> |
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<li> |
|||
<p>[1] <a href="https://en.wikipedia.org/wiki/Apache_Hadoop">Hadoop General Description</a></p> |
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</li> |
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</ul> |
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</div> |
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</div> |
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</div> |
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</div> |
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<div id="footer"> |
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<div id="footer-text"> |
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Last updated 2020-06-11 17:06:36 +0300 |
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