Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

--- magistraleinformaticanetworking:cpa:start [18/11/2016 alle 16:20 (9 anni fa)] – [Lectures] Nicola Tonellotto
+++ magistraleinformaticanetworking:cpa:start [14/02/2021 alle 01:53 (5 anni fa)] (versione attuale) – Patrizio Dazzi
@@ Linea 1: / Linea 1: @@
 ====== Piattaforme Abilitanti Distribuite ======
+==== 2020-2021 Edition ====
 {{ :magistraleinformaticanetworking:cpa:grid-small.jpg?450 }}
-**Teacher**: //[[nicola.tonellotto@isti.cnr.it|Nicola Tonellotto]]//
+**Teacher**: //[[patrizio.dazzi@isti.cnr.it|Patrizio Dazzi]]//
-**Question time**: Please contact the teacher
+**Question time**: Please contact the lecturer
 ** Schedule **:
-^Monday | 16-18 |Room L1 |
+^Monday | 11-12:45 |Online (Teams) |
-^Friday | 11-13 |Room C1 |
+^Tuesday | 11-12:45 |Online (Teams) |
-^Friday (Backup) | 16-18 |Room C40|
-** Teaching rooms **:\\
+==== Additional details on the Classroom page of the course ====
-Room L1, Polo Fibonacci, first floor.\\
+Classroom code: 5goxjrn
-Room C1, Polo Fibonacci, first floor.\\
-Room C40, ISTI-CNR, Door 19/20, first floor\\
+[[Past editions]]
-===== Lectures =====
-/09. Introduction to the course, Logistics. Large-scale problems: status and perspectives.\\
-/09. Data storage architectures: read-only (search engines), read-write (datastores). Grid computing: elements, definition, architecture, protocols and hourglass model. ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez1.pdf|slides]])\\
-/09. Grid computing: security, resource management, information management, data management. Architectural models, real-world Grids, Globus Toolkit. ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez2.pdf|slides]])\\
-/09. Cloud computing: definitions, properties, characteristics. Elasticity, dynamic provisioning and autonomic control. ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez3.1.pdf|slides]])\\
-/10. Cloud computing: user benefits, provider benefits, economies of scale. Service models: IAAS, PAAS, SAAS. Deployment models. ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez3.1.pdf|slides]])\\
-/10. Cloud computing: comparison with Grids. Cloud programming: fault tolerance, service-oriented architectures, decoupling, autoscaling.  ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez3.1.pdf|slides]])\\
-/10. Cloud computing: design patterns for Cloud applications. Fault tolerance, decoupling, elasticity implementation, data storage, security. Amazon Web Services overview. ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez3.2.pdf|slides]])\\
-/10. Map Reduce: design principles, functional programming, basic programming model, exercises ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez4.1.pdf|slides]])\\
-/10. Map Reduce: Hadoop installation, configuration.\\
-/10. Map Reduce: exercises.\\
-/10. Map Reduce: combiners, partitioners, scheduling, fault tolerances. HDFS and I/O APIs. Exercises. ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez4.2.pdf|slides]])\\
-/11. Map Reduce: exercises.\\
-/11 Map Reduce: algorithmic patterns. State management, matrices, database operations, graphs. ([[http://didawiki.cli.di.unipi.it/lib/exe/fetch.php/magistraleinformaticanetworking/cpa/aa1617/lez4.3.pdf|slides]])\\
-/11 a. Map Reduce: exercises.\\
-/11 b. Map Reduce: exercises.\\
-===== Bibliography =====
-**Grids**
-**//Study Notes//**
-  - I. Foster, C. Kesselman, “The Grid 2: Blueprint for a New Computing Infrastructure”, Morgan Kaufmann Publishers Inc., 2003. Chapters 4 and 21.
-  - K. Hwang, G. C. Fox, J. Dongarra, “Distributed and Cloud Computing”, Morgan Kaufmann Publishers Inc., 2012. Chapter 7.
-**//Reading Assignments//**
-  - IBM Redbooks, Introduction to Grid Computing, 2003. [[http://www.redbooks.ibm.com/redbooks/pdfs/sg246778.pdf]]
-**Clouds**
-**//Study Notes//**
-  - [[http://www.nist.gov/customcf/get_pdf.cfm?pub_id=909505|NIST Cloud Computing Reference Architecture]]
-  - [[http://arxiv.org/pdf/0901.0131.pdf|Cloud Computing and Grid Computing 360-Degree Compared]]
-**//Reading Assignments//**
-  - [[http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf|Above the Clouds: A Berkeley View of Cloud Computing]]
-  - [[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.144.8397&rep=rep1&type=pdf|Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility]]
-**Map Reduce**
-**//Study Notes//**
-  - [[http://infolab.stanford.edu/~ullman/mmds/ch2.pdf|Map-Reduce and the New Software Stack]]
-  - [[http://www.umiacs.umd.edu/~jimmylin/MapReduce-book-final.pdf|Data-Intensive Text Processing with Map Reduce]]
-**//Reading Assignments//**
-  - [[http://research.google.com/archive/mapreduce-osdi04.pdf|MapReduce: Simplified Data Processing on Large Clusters]]
-  - [[http://research.google.com/archive/gfs-sosp2003.pdf|The Google File System]]
-  - [[https://www.usenix.org/system/files/login/articles/105470-Shvachko.pdf|Apapche Hadoop. The scalability update]]
-  - [[https://www.usenix.org/legacy/publications/login/2010-04/openpdfs/shvachko.pdf| HDFS Scalability: the limits to growth]]
-**Virtualization**
-  - [[http://www.utdallas.edu/~muratk/courses/cloud11f_files/smith-vm-overview.pdf|An Overview of Virtual Machine Architectures]]
-  - [[http://www.vmware.com/pdf/asplos235_adams.pdf|A Comparison of Software and Hardware Techniques for x86 Virtualization]]
-  - [[https://www.usenix.org/legacy/event/usenix05/tech/freenix/full_papers/bellard/bellard.pdf|QEMU, a fast and portable dynamic translator]]
-===== External Links =====
-  - [[http://www.globus.org/|The Globus Toolkit Homepage]]
-  - [[http://hadoop.apache.org/|The Hadoop Homepage]]
-  - [[http://developer.yahoo.com/hadoop/tutorial/index.html|The Yahoo! Hadoop Tutorial Homepage]]