Installing Apache tomcat and starting Geoserver

Hi all,

We will be learning how to start geoserver by installing Apache tomcat on a windows operating  system.

1. Installation of Apache tomcat :

 go to the official website of Apache tomcat /Download by using the following link :

  http://tomcat.apache.org/download-70.cgi   and download the binary file  as per your operating system .. for example i have downloaded the following version:

64-bit Windows zip (pgp, md5)





extract the  apache-tomcat-6.0.36 from the zip folder and then place it in the C:\ Drive.

2. Download  Java JDK  and set the path in environmental varaibles dialogue box as shown below :





you can access this window by pressing windows screen key on the keyboard and pause key simultaneously.
- go to the advanced systems settings tab

 and then to the environmental variables tab
 and add the java_home variable and the path in user variable dialogue box.

there is another method of adding the JAVA_HOME but we need to set the path every time we want to start the Apache tomcat  as shown below :

- go to search programs and then type in run  and then cmd to get the command prompt window as shown below .
- then change the directory to the location where we have kept Apache tomcat , for example my path is C:\apache-tomcat.
- once we are in c:\apache-tomcat , we need to set the JAVA_HOME by giving the path to the jdk directory(my jdk direcory is stored inC:\Program Files (x86)\Java\jdk1.7.0_09) , as shown below.




*******NOTE******* if we are following the second method we need to follow these steps everytime we go ahead and start apache tomcat.
***************

****GEOSERVER***
 We need to download the geoserver web archive  by going to the following website :

   http://geoserver.org/display/GEOS/Stable





we need to extract the geoserver.war file from the archive and place it in Apache Tomcat /webapps directory ( C:\apache-tomcat\webapps)



once this done

we need to go to the command prompt  and change the directory to  C:\apache-tomcat\bin and then give the command as startup.bat



 you would get a java applet which shows that geoserver is starting as shown below



- once this is done we need to go ahead and type in localhost:8080/geoserver in the address bar to start using the geoserver. you would get a webpage as shown below :



to loginto geoserver we need to give in the

username :admin
password :geoserver

Books and papers to study for cloud computing

Google
1. nosqldbs-NOSQL Introduction and Overview
2. system and method for data distribution(2009)
3. System and method for large-scale data processing using an application-independent framework(2010)
4. MapReduce: Simplified Data Processing on Large Clusters;
5. MapReduce-- a flexible data processing tool(2010)
6. Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters
7. MapReduce and Parallel DBMSs--Friends or Foes(2010)
8. Presentation:MapReduce and Parallel DBMSs:Together at Last (2010)
9. Twister: A Runtime for Iterative MapReduce(2010)
10. MapReduce Online(2009)
11. Megastore: Providing Scalable, Highly Available Storage for Interactive Services (2011,CIDR)
12. Interpreting the Data:Parallel Analysis with Sawzall
13. Dapper, a Large-Scale Distributed Systems Tracing Infrastructure (technical  report 2010)
14. Large-scale Incremental Processing Using Distributed Transactions and Notifications(2010)
15. Improving MapReduce Performance in Heterogeneous Environments
16. Dremel: Interactive Analysis of WebScale Datasets(2011)
17. Large-scale Incremental Processing Using Distributed Transactions and Notifications
18. Chukwa: a scalable cloud monitoring System (presentation)
19. The Chubby lock service for loosely-coupled distributed systems
20. Paxos Made Simple(2001,Lamport)
21. Fast Paxos(2006)
22. Paxos Made Live - An Engineering Perspective(2007)
23. Classic Paxos vs. Fast Paxos: Caveat Emptor
24. On the Coordinator’s Rule for Fast Paxos(2005)
25. Paxos  made code:Implementing a high throughput Atomic Broadcast (2009)
26. Bigtable: A Distributed Storage System for Structured Data(2006)
27. The Google File System

Google patent papers
1. Data processing system and method for financial debt instruments(1999)
2. Data processing system and method to enforce payment of royalties when copying softcopy books(1996)
3. Data processing systems and methods(2005)
4. Large-scale data processing in a distributed and parallel processing environment(2010)
5. METHODS AND SYSTEMS FOR MANAGEMENT OF DATA()
6. SEARCH OVER STRUCTURED DATA(2011)
7. System and method for maintaining replicated data coherency in a data processing system(1995)
8. System and method of using data mining prediction methodology(2006)
9. System and Methodology for Data Processing Combining Stream Processing and spreadsheet computation(2011)
10. Patent Factor index report of system and method of using data mining prediction methodology
11. Pregel: A System for Large-Scale Graph Processing(2010)

Hadoop
1. A simple totally ordered broadcast protocol
2. ZooKeeper: Wait-free coordination for Internet-scale systems
3. Zab: High-performance broadcast for primary-backup systems(2011)
4. wait-free syschronization(1991)
5. ON SELF-STABILIZING WAIT-FREE CLOCK SYNCHRONIZATION(1997)
6. Wait-free clock synchronization(ps format)
7. Programming with ZooKeeper - A basic tutorial
8. Hive – A Petabyte Scale Data Warehouse Using Hadoop
9. Thrift: Scalable Cross-Language Services Implementation(Facebook)
10. Hive other files: HiveMetaStore class picture, Chinese docs
11. Scaling out data preprocessing with Hive (2011)
12. HBase The Definitive Guide - 2011
13. Nova: Continuous Pig/Hadoop Workflows(yahoo,2011)
14. Pig Latin: A Not-So-Foreign Language for Data Processing(2008)
15. Analyzing Massive Astrophysical Datasets: Can Pig/Hadoop or a Relational DBMS Help?(2009)
a. Some docs about HStreaming,Zebra
16. HIPI: A Hadoop Image Processing Interface for Image-based MapReduce Tasks
17. System Anomaly Detection in Distributed Systems through MapReduce-Based Log Analysis(2010)
18. Benchmarking Cloud Serving Systems with YCSB(2010)
19. Low-Latency, High-Throughput Access to Static Global Resources within the Hadoop Framework (2009)

SmallFile Combine in hadoop world
1. TidyFS: A Simple and Small Distributed File System(Microsoft)
2. Improving the storage efficiency of small files in cloud storage(chinese,2011)
3. Comparing Hadoop and Fat-Btree Based Access Method for Small File I/O Applications(2010)
4. RCFile: A Fast and Space-efficient Data Placement Structure in MapReduce-based Warehouse Systems(Facebook)
5. A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: a Case Study by PowerPoint Files(IBM,2010)

Job schedule
1. Job Scheduling for Multi-User MapReduce Clusters(Facebook)
2. MapReduce Scheduler Using Classifiers for Heterogeneous Workloads(2011)
3. Performance-Driven Task Co-Scheduling for MapReduce Environments
4. Towards a Resource Aware Scheduler in Hadoop(2009)
5. Delay Scheduling: A Simple Technique for Achieving
6. Locality and Fairness in Cluster Scheduling(yahoo,2010)
7. Dynamic Proportional Share Scheduling in Hadoop(HP)
8. Adaptive Task Scheduling for MultiJob MapReduce Environments(2010)
9. A Dynamic MapReduce Scheduler for Heterogeneous Workloads(2009)

HStreaming
1. HStreaming Cloud Documentation
2. S4: Distributed Stream Computing Platform(yahoo,2010)
3. Complex Event Processing(2009)
4. Hstreaming : http://www.hstreaming.com/resources/manuals/
5. StreamBase: http://streambase.com/developers-docs-pdfindex.htm
6. Twitter storm: http://www.infoq.com/cn/news/2011/09/twitter-storm-real-time-hadoop
7. Bulk Synchronous Parallel(BSP) computing
8. MPI

SQL/Mapreduce
1. Aster Data whilepaper:Deriving Deep Insights from Large Datasets with SQL-MapReduce (2004)
2. SQL/MapReduce: A practical approach to self-describing,polymorphic, and parallelizable user-defined functions(2009,aster)
3. HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads(2009)
4. HadoopDB in Action: Building Real World Applications(2010)
5. Aster Data presentation: Making Advanced Analytics on Big Data Fast and Easy(2010)
6. A Scalable, Predictable Join Operator for
7. Highly Concurrent Data Warehouses(2009)
8. Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce(2010)
9. Greenplum whilepaper:A Unified Engine for RDBMS and MapReduce(2004)
10. A Comparison of Approaches to Large-Scale Data Analysis(2009)
11. MAD Skills: New Analysis Practices for Big Data (2009)
12. C Store A Column oriented DBMS(2005)
13. Distributed Aggregation for Data-Parallel Computing: Interfaces and Implementations(Microsoft)

Microsoft
1. Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks (2007)

Amazon
1. Dynamo: Amazon’s Highly Available Key-value Store(2007)
2. Efficient Reconciliation and Flow Control for Anti-Entropy Protocols
3. The Eucalyptus Open-source Cloud-computing System
4. Eucalyptus: An Open-source Infrastructure for Cloud Computing(presentation)
5. Eucalyptus : A Technical Report on an Elastic Utility Computing Archietcture Linking Your Programs to Useful Systems (2008)
6. Zephyr: Live Migration in Shared Nothing Databases for Elastic Cloud Platforms(2011)
7. Database-Agnostic Transaction Support for Cloud Infrastructures
8. CloudScale: Elastic Resource Scaling for Multi-Tenant Cloud Systems(2011)
9. ELT: Efficient Log-based Troubleshooting System for Cloud Computing Infrastructures

Books
1. Distributed Systems Concepts and Design (5th Edition)
2. Principles of Computer Systems (7-11)
3. Distributed system(chapter)
4. Data-Intensive Text Processing with MapReduce (2010)
5. Hadoop in Action
6. 21 Recipes for Mining Twitter
7. Hadoop.The.Definitive.Guide.2nd.Edition
8. Pro hadoop

Other papers about Distributed system
1. Flexible Update Propagation for Weakly Consistent Replication(1997)
2. Providing High Availability Using Lazy Replication(1992)
3. Managing Update Conflicts in Bayou,a Weakly Connected Replicated Storage System(1995)
4. XMIDDLE: A Data-Sharing Middleware for Mobile Computing(2002)
5. design and implementation of sun network filesystem
6. Chord: A Scalable Peertopeer Lookup Service for Internet Applications(2001)
7. A Survey and Comparison of Peer-to-Peer Overlay Network Schemes(2004)
8. Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and Routing(2001)

BI
1. 21 Recipes for Mining Twitter(Book)
2. Web Data Mining(Book)
3. Web Mining and Social Networking(Book)
4. mining the social web(book)
5. TEXTUAL BUSINESS INTELLIGENCE (Inmon)
6. Social Network Analysis and Mining for Business Applications(yahoo,2011)
7. Data Mining in Social Networks(2002)
8. Natural Language Processing with Python(book)
9. data_mining-10_methods(Chinese editation)
10. Mahout in Action(Book)
11. Text Mining Infrastructure in R(2008)
12. Text Mining Handbook(2010)

Web search engine
1. Building Efficient Multi-Threaded Search Nodes(Yahoo,2010)
2. The Anatomy of a Large-Scale Hypertextual Web Search Engine(google)