The Integration system are rapidly increasing. It can be more useful for environments and platform. The Integration system provides the heterogeneous application. This system based on the mixture of platform like Operating system. Business application Integration between vendors, agencies and other agencies, are supporting the electronic commerce. This architecture encircles the multiple layers of new and existing systems and the middle ware in between(Wang, Shen and Sun, 2013). Most of the systems are easily built and also improve their performance. Some of the systems contains the more number of departments, these departments are run on the system. Each and every department has separate functionality. Sometimes we want to build the system, but the system may not have a proper architecture(Shahbazian and Rogova, 2010). That was the major reason for degrade the system
Application architecture is known as integration side framework for computing the application. And the application integration provided by oracle. And it has pre-defined services and explanation. And it is used mainly in the business product as well as management. And the application integration has two types of integrations they are process and direct integrations. In the direct integration it satisfies the flow of data and how the data is synchronized in the applications (ISHII and TEMPO, 2009). And in the process integration it describes about the business applications and run the functions as fast. And it decreases the development time for the software.
And in the application integration it had the details about legacy systems. Legacy systems not work for architecture explanation and in that more integration systems as framework designed for easy integration and it is used to provide the solution continuously and in this integration has pattern method to analyze the various process designed in the system and used to deliver the technology and tool for application integration and data exchange(System Integration Architects, 2018). And in this application integration it had five steps they are access, design, create and support. In access it describes the data and flow of integration and the applications. Based on the design the pattern are used to describe the technical architecture. And in that creation the technology is decided to the technical architecture. And in the support it gives the rules and guidance to make implementation as robust.
Web service layer has the web application and import the data put into tool, these tool integrate with other software tool. In this web service it is used the own integration by the creation of the API for customers(SAEKI and SUGITANI, 2011). And internal and external both web services are similar and it has a security and permission settings. And in that public service platform is a technology and it is developed by the new public management and some public service providers used to make customer satisfaction. In the public service providers two types of providers there are old and new. Main aspect of public service providers is self-promotion. New public management and business models and e government are the platforms for the public service providers. And the new version of public service providers by the use of new public management to make a public service to the institutional market. The main feature is to promote the product and control the production side and delivery of the products. And also Google map and Google search is also have the contribution in public service providers.
In the service integration service management is used to manage the it services delivery for a service provider and the service provider is a kind of team and it provide the many it based services for the business(Kaps et al., 2006). Service provider has two kind of business organization like internal and external. And the service integration is an approach or model and it provide the guidance of manage the delivery of the products by the internal and external organization. And in that service integration and it has management service known as service integration and management and it describes the capability of service integration and governance is the technique to monitor the delivery of the products (Haltiwanger, Lynch and Mackie, 2007). And system integration is used to get the solutions and the integration and for the management it needs to elements in the system integration. And service line and business is the terms used in this service integration. Service line is used to describe the services for service integration and management it can be business or technology. Service integration is effective in the way of maintain the services. And in the business is like organization for system integration and management.
Information integration is known as joining the information by the sources for the kind of representations and it is used to data mining and it is used to describe the knowledge and it is combination of integration(Mynarz, 2014). In that the technologies is used to integrate the information and information detection and it provide the technologies to the information research. In that information integration database have the main contribution for the application standard. First it reduces the skills in the way of legacy database management system legacy system like in the database retiring and expensive demand and flexible is needed for the business requirements because the business requirements changing frequently(Huang and Zhu, 2013). Change in the way of structure and behavior and in that old databases is hard to work for the business requirements. And the application vendors need to contribute in the business of information integration for that difficult to find the applications and legacy systems. And the main priority is to the cost of ownership in that legacy applications it may take a high cost and hardware and vendor support is also high in the information integration.
There are four types of architecture design are possible. The hardware and software frameworks are done by cloud storage infrastructure. The hardware and software frames are used to support the computing requirements. The computing requirements are in two type’s one is private and another one is public.
The private and public cloud storage infrastructure includes some major benefits like elasticity, scalability, flexibility(Joglekar, 2016). Huge multi-tenancy is done by the public cloud. All the customers want to share the same hardware, and also support the software’s.
In private cloud infrastructure same servers are used all the operations. Storage and virtualization techniques are derived from the public cloud storage. But the hardware and software components are not derive from the public cloud storage. They are using their own hardware and software components.
Typically single tenant are used by the private cloud infrastructure. Suppose if any larger interface is available they are done by multi tenancy. Cloud storage service is used to deal some problems. Sometimes private cloud infrastructure is not deal with the housing, running and also maintain, then the cloud storage services are used.
This type of model is also known as IaaS. IaaS stands for infrastructure as a service. Some of the requirements are provided by this service such as storage, hardware’s, servers, and networking components.
Moreover then, these services are alternatively changed by the client based on their requirements. Traditional local storage is used, but traditional local storage is block based. But the cloud storage infrastructures are object based. The only possible way to access the object based storage is through the web services API (Zhai et al., 2011). API stands for application programming interface. Application programming interface are mainly focused on two types of protocol. One is SOAP protocol, and another one is REST protocol.
SOAP stands for simple object access protocol. REST stands for representational state transfer protocol. To construct the infrastructure we need to cluster the hardware and servers. So the storage capacity is formed in a single pool.
Suppose we want to increase the capacity of the system in this infrastructure configuration. Then the additional servers are included in the cluster. Cluster needs some additional servers for increase the storage capacity.
In IT storage infrastructure are used to refer the overall hardware and software components. We need to facilitate the system these hardware and software components are used. Storage infrastructure is used cloud computing, is known as cloud storage infrastructure. Different types hardware and software components are used in cloud storage infrastructure.
Servers are the type of hardware elements, operating systems are the type of software elements. Compare to the normal storage technology cloud storage technology have some special storage techniques (KANEKO et al., 2012). For instances storage virtualizations are used to change the hardware driven and also software driven.
In typical storage virtualization environment the set of physical hare drives are replaced by the set of virtual drives or logical drives. The software is used to operate the set of virtual drives or logical drives. Basically engineers use verity of software’s to create a versatile storage system. RAID is the type of strategy used to create versatile storage system.
What are the values are used in cloud computing, and philosophy of cloud computing are explained by this methods. To make an effective infrastructure the end network hardware are typically merged. In these structure tenant data is also stored.
We want to push the date and the files from a client the virtual systems are used. The product services are delivered by the cloud computing among the global internet. In vendor offices hybrid design are used to make the storage infrastructure.
Advantages of public cloud infrastructure
Disadvantages of public cloud infrastructure
Code Explanation
The given txt file and csv file are merged by the python program that is data Merger. The program can be used to combine the both file and able to read the file and provide the result as in the output screen. The xml file can read by using the standard library of the element Tree, Then the parse method call for parsing the xml file and again the csv file can read by using the csv import statement.
Conclusion
The traditional IT infrastructure is used to separate data centers, based on their functionality. Solid infrastructure is type of structure. They are very good in slow growth and non-dynamic also. The responsibilities of the forecasting compute are done by this technique.
Cloud infrastructure has some special characteristics like elasticity, scalability, and also flexibility. The major difference between the public and private cloud infrastructure is senses. Yes make more senses compare to the public storage infrastructure.
References
Mynarz, J. (2014). Integration of public procurement data using linked data. Journal of Systems Integration, pp.19-31.
Oró, E. and Salom, J. (2015). Energy Model for Thermal Energy Storage System Management Integration in Data Centres. Energy Procedia, 73, pp.254-262.
SAEKI, M. and SUGITANI, Y. (2011). Partial Tuning of Dynamical Controllers by Data-Driven Loop-Shaping. SICE Journal of Control, Measurement, and System Integration, 4(1), pp.71-76.
System Integration Architects. (2018). Home. [online] Available at: https://www.bing.com/cr?IG=9EC6123BCBD745AD8CCBB33DFE8DAED1&CID=2F90039340486D0D3213086C41B56C0D&rd=1&h=sVKCA3w93NRqWHRtvn8nCv_NMFhP-Qs6ZT-mIeoTjqQ&v=1&r=http%3a%2f%2fsi-architects.com%2f&p=DevEx.LB.1,5524.1 [Accessed 30 May 2018].
Wang, X., Shen, J. and Sun, C. (2013). Data Warehouse Oriented Data Integration System Design and Implementation. Applied Mechanics and Materials, 321-324, pp.2532-2538.
Zhai, L., Guo, L., Cui, X. and Li, S. (2011). Research on Real-time Publish/Subscribe System supported by Data-Integration. Journal of Software, 6(6).
KANEKO, O., NGUYEN, H., WADAGAKI, Y. and YAMAMOTO, S. (2012). Fictitious Reference Iterative Tuning for Non-Minimum Phase Systems in the IMC Architecture: Simultaneous Attainment of Controllers and Models. SICE Journal of Control, Measurement, and System Integration, 5(2), pp.101-108.
Shahbazian, E. and Rogova, G. (2010). Human systems integration to enhance maritime domain awareness for port/harbour security. Amsterdam: IOS Press.
Dong, X. and Srivastava, D. (n.d.). Big data integration.
Finkelstein, C. (2006). Enterprise architecture for integration. Boston: Artech House.
Haltiwanger, J., Lynch, L. and Mackie, C. (2007). Understanding business dynamics. Washington, D.C.: National Academies Press.
Huang, X. and Zhu, W. (2013). An Enterprise Data Integration ERP System Conversion System Design and Implementation. Applied Mechanics and Materials, 433-435, pp.1765-1769.
ISHII, H. and TEMPO, R. (2009). Computing the PageRank Variation for Fragile Web Data. SICE Journal of Control, Measurement, and System Integration, 2(1), pp.1-9.
Joglekar, A. (2016). Prediction of Favourable Rules to Identify Suspected Patients of HIV Using Integration of Expert System and Data Mining. International Journal of Mechanical Engineering and Information Technology.
Kaps, A., Dyshlevoi, K., Heumann, K., Jost, R., Kontodinas, I., Wolff, M. and Hani, J. (2006). The BioRSTM Integration and Retrieval System: An open system for distributed data integration. Journal of Integrative Bioinformatics, 3(2).
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