Architecture Design for Soft Errors

This assignment delves into the realm of architecture design for mitigating soft errors in computing systems. It examines various architectural techniques aimed at minimizing the impact of these errors. The assignment emphasizes the use of system integration, data integration, and web services to enhance resilience against soft errors. Additionally, it explores virtualization concepts as a means to achieve scalability and fault tolerance.

Architecture and System Integ Python Project

Table of Contents
1. Introduction...................................................................................................................................2
2. Computing and storage Infrastructure design...............................................................................2
3. Application integration.....................................................................................................................3
4. Information Integration............................................................................................................3
5. Demo...........................................................................................................................................5
5.1 Data Integration Demo....................................................................................................................5
5.2 Restful Web Service Demo..............................................................................................................6
5.3 Mash up demo..................................................................................................................................7
6. Conclusion..........................................................................................................................................8
7. References..........................................................................................................................................9
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1. Introduction
The System architecture is defined as the organization of the system. Here the system
represents the set of components which are used to obtain a defined functions. The organizations
which are planning to work in service based new technologies is good to choose the service
oriented architecture. This architecture is very efficient even if the consumption of the energy is
more than required. When the system is designed in different fields and it will be connected
through the main stream of the system. By using the service provided by the organization we can
utilize the applications and new techniques. It is important to build the communication between
the systems. Then only we can know the status of the organization. Decide to work in advanced
technologies is always important. Cloud computing is the important technology in nowadays. To
fulfill all the needs the system must have good interaction with different parts and also it should
be able to work in all the new technologies (Architecture Design for Soft Errors, 2011).
2. Computing and storage Infrastructure design
If the organization is decided to work in cloud and it must be comfortable with renting
the cloud. One of the most efficient technologies in nowadays is cloud. When the organization is
ready to use the cloud. The clusters are provided for the organizations. These clusters are very
useful for retrieving the information where ever we want. It provides new technologies for
various operations. Before renting the cloud the payments should be maintains correctly.
Otherwise it may leads to disconnect the service (Peters, 2012).
Benefits of renting cloud providers
Compare to other technologies the cloud has important features. It can be shrink and
expand depends upon the application. The unique id was provided for stored data.so that the
unwanted interactions of the data is to be avoided (Velte, Velte and Elsenpeter, 2010).
Another important feature is that the employee can be login and get the data from anywhere.
The updating of the data will be made automatically (Guthrie, Lowe and Coleman, 2013).
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Support in IT field
In the IT field many organizations are using cloud. To connect the various systems the Wi-Fi
should be very efficient. The storage area will automatically adjusted. So that it will never have
any storage related issues (Payne, 2015).
3. Application integration
In order to achieve the application integration we have to collect the one type of the
data and combining with the kind of service. These type of integration is done in background
process (Furht and Escalante, 2011).
The application integration is the combination of the frameworks and Application
programming interfaces (Foo, 2013). By using this feature the user can be used various
functions in the library files (Hosken, 2016). Solutions of the application integration, some of
the application integration services are
1. If the functions are done by various systems then the old system is unaware about old
systems requirements.
2. Whenever we want to capture our target people in various people.
Application integration services include
1. Here most of the application able to make their process automatically.so that the
unwanted content be removed automatically.it gives the stable and scalability.
2. By using these kind of technologies the future business process will developed easily
(Pentaho Data Integration Beginner's Guide, 2013).
3. Future business process is produced as well as implemented (Boutaounte and Ouadid,
2016).
4. Application integration method includes in an ordered movement. It can be done
between the equipment and the services (Roadley, 2014).
4. Information Integration
The information integration is the process of collecting the all related information’s and
combined it into a single service. To make information in single way it is highly used. This
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process consume more time and space. But it is very efficient to obtain the proper information to
user. Increase the business environment process is well organized (Han and Kim, 2017). It has
the both the combinations of the new and old data. Gives goods and services as output. Removes
of technical error. In this business world the information integration process is very difficult one.
Information integration is highly populated integration (Leonard et al., 2012). That can be used
for testing. The source system has no relevant information, different entity name and also used
for different uses so it is not at all possible in source system. Maximum information integration
process problematic to get output. Business sector does the integration process. And getting lots
of technical problems. In order to obtain the solution for those issues. There are various
techniques are used for this data integration process (Hughes, 2016).
Some of them are
1. Common user interface technique – This helps in getting all the data’s related to this
integration from many sites (Dury and Dury, 2012).
2. Application dependent integration – This integration helps in gathering all the data’s
and specific data in order to implement all the methods of integration (Lin, 2013).
3. Middleware information integration – This method transforms information from one
specific information to the middleware data.
4. Virtual assimilation technique - This technique provides a distinctive view for the
people in business field (Sansrimahachai, 2016).
5. Common information storage approach – this method deals with creating new system and
new copying from the source system, since we have to work individually without disturbing the
actual system for handling the large amount of data (Ghose et al., 2013).
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5. Demo
5.1 Data Integration Demo
Execution
xml and csv data source file integration
Code file is added
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Code Explanation
The delivered data file can be changed into xml file and kept as xml document. The delivered
data in Excel sheet can be changed as csv files that means store position. Then they python can
be used to combine both files. to read xml file import xml file is used. Retrieve the details root
“For Child in root” command can be used. To find name of attribute “If attr.tag == Name” is
used. To return the text that searching Print (attr.text) command is used. Hence python file is run
and performed.
5.2 Restful Web Service Demo
Execution
The Output csv file
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Code file is added
Code Explanation
It is used to execute, store the python files and save position on csv files. To display output
import csv command is used. To open the data storeOpen() command is used. To read file
StoreFileReader() is used. To check length If(len !=row) is used. To add row
ScoreList[]=ScoreList[]+row is used. To close file ScoreFile.close is used. To print
Print(Score.List) is used.
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5.3 Mash up demo
To search store id
Directions of the store location
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Code explanation:
The store location is found by the html file called store_map in which the store location can
be searched exactly. Map directs the location to reach the store. An output of textbox where store
identification is provided by this <input type=textbox>. Submit button is a button type used to
search the location that to be displayed in the form of map.
6. Conclusion
All the requirements are made. The device receive all architecture technology from that
applications are easy to implement. The number of device are interact by using the adopted reuse
technique. So that the other device will easy to communicate. Most of the connection will be
looked after by them. Thus the private and public accessibility is provided in whole swing. As
we are using the system integration it will combine all the accessible data together and
manipulate. The concept of virtualization will handle the scalability. Data Integration, Web
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Service and Mash up Demo has been executed. Results are about the store that is needed to be
reached and the location of the corresponding store.
7. References
Architecture Design for Soft Errors. (2011). Morgan Kaufmann.
Boutaounte, M. and Ouadid, Y. (2016). Document Image Converter to XML File, Case of
Tifinagh. International Journal of Computer Applications, 145(4), pp.30-33.
Dury, I. and Dury, J. (2012). Hallo sausages. London: Bloomsbury.
Foo, D. (2013). Process integration for resource conservation. Boca Raton, Fla.: CRC Press.
Furht, B. and Escalante, A. (2011). Handbook of Data Intensive Computing. New York, NY:
Springer Science+Business Media, LLC.
Ghose, A., Zhu, H., Yu, Q., Delis, A., Sheng, Q., Perrin, O., Wang, J. and Wang, Y.
(2013). Service-Oriented Computing - ICSOC 2012 Workshops. Berlin, Heidelberg: Springer.
Guthrie, F., Lowe, S. and Coleman, K. (2013). VMware vSphere design, second edition.
Indianapolis, Ind.: Sybex.
Han, S. and Kim, J. (2017). CSV in Yuhan Kimberly, Ltd. Based upon Creating a Senior
Business. Korea Business Review, 21(2), pp.123-143.
Hosken, M. (2016). VMware software-defined storage. Indianapolis, Indiana: Sybex, a Wiley
brand.
Hughes, R. (2016). Agile data warehousing for the enterprise. Amsterdam [Netherlands]:
Morgan Kaufmann.
Leonard, A., Masson, M., Mitchell, T., Moss, J. and Ufford, M. (2012). SQL Server 2012
Integration Services Design Patterns. Berkeley, CA: Apress.
Lin, X. (2013). Web information systems engineering - WISE 2013. Berlin [u.a.]: Springer.
Payne, T. (2015). Practical guide to clinical computing systems. Amsterdam: Elsevier.
Pentaho Data Integration Beginner's Guide. (2013). Birmingham: Packt Publishing.
Peters, D. (2012). Building a GIS. Redlands: ESRI.
Roadley, T. (2014). Learning Core Data for iOS. Upper Saddle River, NJ: Addison-Wesley.
Sansrimahachai, W. (2016). Provenance in Web Feed Mash-Up Systems. International Journal
of Information Technology and Web Engineering, 11(4), pp.43-62.
Velte, A., Velte, T. and Elsenpeter, R. (2010). Cloud computing. New York: McGraw-Hill.
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