Migration increases within the culturally diverse knowledge with processes that are effective and social in nature. This resources include information technology, inventory, financial and production resources. Around 232 million or more people internationally migrate from all over the world (Dekker and Engbersen 2014). Migrant networks linked inextricably to the process of migration through the modern forms of communication.
Thus, the concept of “uprooted migrant” has studied migration and found it disruptive (Xiang and Lindquist 2014). Sometimes there may be migrants important for transnational and local networks (Massey 2015). Contemporary, scholarly migration itself process the migration which develops the trade opportunities. An individual gather social networks to bind the newcomers together and get resources through immigrant communities (Khondoker et al. 2014).
The software packages that support the process of educational or network migration have got subscription in the format of a cloud-based or traditional server (Comola and Mendola, 2015). The software packages for the education or network migration include
The report main objective is to study about the available software packages processing the educational or network migration. It defines the criteria for evaluation of selective software packages and determine which software package is more suitable to support the educational or network migration process (Groutsis, van den Broek and Harvey 2015). From the research report, the outcome of the migration could be understood with the use of different types of software packages.
Significance of the Investigation
The investigation highlights the influence of the process of educational or network migration. There are various educational institute which contains resources of their own that need to be prioritize with migration institute (Parsons and Vézina 2018). The application of the software could be a problematic one that aid to effective information. The operational cost increases steadily whose resources and budgets are limited for the organizations. Thus, the limitation is significantly highlighted for the migration.
Available Software
Migration application management:
It improves the efficiencies of the applications and transform the business that could adapt IT environment changes. Application Migration is mostly for applications that are for custom-written. The application code is normalizing to modify for recompilation and have a different Operating System (OS) to support new hardware platform. Application Migration is an application that modify the code provided by the existing OS for the Application Programming Interfaces (API) (Shin et al. 2016).
Software-Defined Networking (SDN):
The architecture for Software-Defined Networking aims at flexible and network agile. The SDN main goal is to improve the control of the network that enables the service providers and the enterprises to respond to the requirements of the business that has changes (Munshi 2014). The administrator or the network engineer of software-defined network shape the traffic by consoling the network switches individually. The network services deliver SDN controller directly as needed with regard to some specific connections (Nunes et al. 2014). In this process, the traditional network architecture moves to individual network devices to make the traffic decisions which is based on the tables that have configured the routing (Toma and Vause 2014).
Data Migration:
For the institution of higher education, the process of data migration differs for each database. The type of data can be Admissions, Career Development, Student Record or Biographical. Different treatment is required for each data type, most of the vendors’ import biographical data through standard process. For small schools with 100 students’ manual entry of the information are manageable with the organization that doesn’t need the historical data. The system put full records from the students’ current activity. The other option for data migration is getting files like Word, Excel or .pdf format that could access the data.
Cloud Migration:
The process of Cloud Migration entail to migrate the infrastructure of the total organization which transfer the storage, computing, platform and software for accessing them to cloud. It has facilitated flexible cloud computing with on-site IT infrastructure containing hybrid cloud solution. In the hybrid cloud more than one cloud providers provide on-demand space for the server, services and applications.
Selected Software for Evaluation
Cloud Migration:
Cloud migration store critical data for cloud environments. The migration complexity exacerbated the fact for legacy applications to develop attribute for cloud environments. The community for cloud computing has enable applications for legacy through which cloud services could be utilized. There are new challenges that improve the conventional software and address some specific requirements for enabling cloud-enabled legacy application for cloud services.
Data Migration:
With emerging platform of big data in the market, education or network are looking to migrate the data from the current platform of relational database management to the structure of big data storage. However, there is a complexity in the large data migration for running into trouble. In data migration, the source database is basically transfer to target database in the target system.
Critical Review
Migration application management:
For every education institute or network, disruption and risk mitigation are critical for large-scale application migration. The migration of the application in the organization adhere the business – driven requirement for long term data center strategy (Baláž, Williams and Fifeková 2016). The capacity is not just increasing the global strategy of the data center. There are key strategic elements that delivered data through application migration for mass migrations.
Software-Defined Networking (SDN):
With the SDN technology, Security has become a concern for the migration. The controller of SDN points to failure which target to the attacker. In the networking industry various approaches where made to SDN which range from the platforms of virtualization to the hardware-centric models for designing of the network and methods that are not controllable (Goodall, Newman and Ward 2014). The adoption of SDN was relatively slow for the network enterprises which only contains some fewer resources. Here, the primary deterring factor is the cost of SDN deployment. The technology that have emerge tackle and contribute the resources adopted from SDN network operators and service providers.
Cloud Migration:
In migration of data to cloud, a response of failures has been experience in Hybrid cloud where companies desire availability, latency and security equivalency which are not satisfying the hybrid model (Ahmed et al. 2015). The components of the services get differ with equivalence demands that are appropriately used by the cloud with high security. One of the consequences that was found in cloud migration is that the users attempt for services contract without knowing its necessity in the future.
Evaluation Criteria
|
Criteria |
Query |
|
Skills assessment |
Qualification equivalent to degree to have successfully study the competency areas to meet the requirement. |
|
Provisional assessment |
To get a positive result to have successfully studied meet the requirement. |
|
Degree Requirement |
To meet skills assessment that need a qualification as equivalent to comparability of overseas qualifications. The requirement of the provisional assessment could meet the degree requirement. |
|
Competency areas |
Competency area of the provisional and general requirements skills meet the need to get the required qualifications |
Weighting Criteria
|
Criteria |
Participant 1 |
Participant 2 |
Participant 3 |
Participant 4 |
Weighting |
|
Ability to demonstrate |
4 |
5 |
5 |
6 |
5 |
|
Ability to secure |
5 |
3 |
1 |
3 |
3 |
|
Ease of integration |
7 |
2 |
3 |
5 |
4.25 |
|
Ease of use |
6 |
2 |
2 |
2 |
3 |
|
Manageability |
5 |
3 |
5 |
4 |
4.25 |
|
Extensibility |
1 |
3 |
3 |
5 |
3 |
|
Desire to meet capabilities |
2 |
1 |
4 |
4 |
2.75 |
|
Functional Requirement |
5 |
2 |
2 |
1 |
2.5 |
|
One-time cost |
4 |
0 |
1 |
3 |
2 |
|
Ongoing cost |
0 |
0 |
0 |
1 |
0.25 |
|
Recoverability |
4 |
3 |
3 |
3 |
3.25 |
|
Scalability |
1 |
5 |
2 |
4 |
3 |
|
Time to value |
2 |
4 |
5 |
3 |
3.5 |
Evaluation Matrix
|
Software Evaluation |
|||||
|
Skills assessment |
1 |
2 |
3 |
4 |
5 |
|
Provisional assessment |
Little to no provisional assessment |
Low provisional assessment |
Moderate provisional assessment |
High provisional assessment |
High Considerable provisional assessment |
|
Degree Requirement |
High degree requirement |
High to moderate degree requirement |
moderate degree requirement |
moderate to low degree requirement |
low degree requirement |
|
Competency areas |
Considerably low competency requirement |
low competency requirement |
moderate competency requirement |
high competency requirement |
Considerably high competency requirement |
|
Cost |
Considerably high cost |
high cost |
moderate cost |
low cost |
considerably low cost |
|
Notification |
little to no features of notification |
low features of notification |
Moderate features of notification |
high features of notification |
considerably features of notification |
|
Training |
Little features of training |
Low features of training |
moderate features of training |
high features of training |
considerably high features of training |
|
Support |
Little support |
Low support |
moderate support |
high support |
considerably high support |
|
Platform |
Limited amount of available platform |
Low amount of available platform |
Moderate amount of available platform |
high amount of available platform |
Considerably high amount of available platform |
Software Evaluation
|
Software Evaluation |
Migration application management |
Software-Defined Networking |
Data Migration |
Total |
|||||
|
Criteria |
Weighting |
Score |
Rating |
Score |
Rating |
Score |
Rating |
Score |
Rating |
|
Skills assessment |
0.12 |
2 |
0.7 |
3 |
0.5 |
2 |
0.7 |
5 |
0.15 |
|
Provisional assessment |
0.12 |
4 |
0.5 |
5 |
0.3 |
5 |
0.5 |
5 |
0.15 |
|
Degree Requirement |
0.12 |
3 |
0.3 |
3 |
0.4 |
3 |
0.3 |
5 |
0.15 |
|
Competency areas |
0.12 |
5 |
0.4 |
6 |
0.4 |
4 |
0.5 |
5 |
0.15 |
|
Cost |
0.02 |
4 |
0.2 |
4 |
0.3 |
5 |
0.3 |
5 |
0.15 |
|
Notification |
0.05 |
2 |
0.5 |
2 |
0.5 |
2 |
0.2 |
5 |
0.15 |
|
Training and |
0.05 |
3 |
0.5 |
5 |
0.5 |
3 |
0.4 |
5 |
0.15 |
|
Total |
100% |
23 |
3.1 |
28 |
2.9 |
24 |
3.7 |
35 |
1.05 |
Weighting Criteria Justification
|
Ranking |
Criteria |
Weighting |
|
1 |
Provisional assessment |
29% |
|
2 |
Degree Requirement |
29% |
|
3 |
Competency areas |
12% |
|
4 |
Cost |
12% |
|
5 |
Notification |
5% |
|
6 |
Training |
5% |
|
7 |
Support |
4% |
|
8 |
Platform |
4% |
|
Total |
100% |
Results
The software that were selected for evaluation has demonstrated the performance of the selected software with proficiency. The selected software was ranked based on the review of the criteria of the software evaluation as shown below:
It is realized that evaluation criteria, the characteristic of the individual, and the adopted weighting scores rank for the software packages that are weighted.
Problems and Pitfalls
The adoption of software package for education and network migration has many problems with their pitfalls that could rise but ultimately remains a struggle. (Czaika and De Haas 2014). The primary concern for education and network migration is the cost while determining which software package is suitable for migration. Thus, the need of software package should be cost effective and affordable.
The value of education and network migration could build opportunities for the organization (Bartfai-Walcott et al. 2014). The benefits are associated when realize that the software implementation support the process of education and software migration. Failure for software integration is prove to be costly and require software packages that are compatible.
While choosing for a software in education or network migration, it should be accessible for the server location (Weingärtner, Bräscher and Westphall 2015). The educational institute may face resistance for being using the software in migration. In this case, the prescribed requirement would not be fulfilling from the software that was adopted and is finally considered to be redundant.
Recommendations
There are lot of software that required careful planning for migration of the projects to envisage for cloud migration as the traditional way of developing the software. With cloud migration data get transit to cloud and could identify on-premise enterprise server to the cloud. The strategy requires for migration of software need to have cloud-based environment that could refer to custom-built applications like Google App Engine, Amazon Web Services, Microsoft Azure, or Force.com.
In software Migration efficiency improve and organizations virtualize the software and sandboxes the runtime. This type of Migrations increases the speed for new functionality. Another software package that could be involve is the Database migration that maintains the operating system and setup its own software. With Database Migration the existing servers get upgrade or replace to relocate the data center and perform the server maintenance for physical location.
References
Ahmed, E., Akhunzada, A., Whaiduzzaman, M., Gani, A., Ab Hamid, S.H. and Buyya, R., 2015. Network-centric performance analysis of runtime application migration in mobile cloud computing. Simulation Modelling Practice and Theory, 50, pp.42-56.
Application Management in the 21st Century. (2018). [Blog] The beginning of the Migration journey. .
Baláž, V., Williams, A.M. and Fifeková, E., 2016. Migration decision making as complex choice: eliciting decision weights under conditions of imperfect and complex information through experimental methods. Population, Space and Place, 22(1), pp.36-53.
Bartfai-Walcott, K.K., Boss, G.J., Dawson, C.J. and Rick, A.H.I., International Business Machines Corp, 2014. Management of service application migration in a networked computing environment. U.S. Patent 8,745,233.
Comola, M. and Mendola, M., 2015. Formation of migrant networks. The Scandinavian Journal of Economics, 117(2), pp.592-618.
Czaika, M. and De Haas, H., 2014. The globalization of migration: Has the world become more migratory?. International Migration Review, 48(2), pp.283-323.
Dekker, R. and Engbersen, G., 2014. How social media transform migrant networks and facilitate migration. Global Networks, 14(4), pp.401-418.
Docs.plesk.com. (2018). Migrating via the Plesk Interface.
Goodall, K.T., Newman, L.A. and Ward, P.R., 2014. Improving access to health information for older migrants by using grounded theory and social network analysis to understand their information behaviour and digital technology use. European journal of cancer care, 23(6), pp.728-738.
Groutsis, D., van den Broek, D. and Harvey, W.S., 2015. Transformations in network governance: The case of migration intermediaries. Journal of Ethnic and Migration Studies, 41(10), pp.1558-1576.
Khondoker, R., Zaalouk, A., Marx, R. and Bayarou, K., 2014, January. Feature-based comparison and selection of Software Defined Networking (SDN) controllers. In Computer Applications and Information Systems (WCCAIS), 2014 World Congress on (pp. 1-7). IEEE.
Massey, D.S., 2015. A missing element in migration theories. Migration letters: an international journal of migration studies, 12(3), p.279.
Munshi, K., 2014. Community networks and the process of development. Journal of Economic Perspectives, 28(4), pp.49-76.
Nunes, B.A.A., Mendonca, M., Nguyen, X.N., Obraczka, K. and Turletti, T., 2014. A survey of software-defined networking: Past, present, and future of programmable networks. IEEE Communications Surveys & Tutorials, 16(3), pp.1617-1634.
Parsons, C. and Vézina, P.L., 2018. Migrant networks and trade: The Vietnamese boat people as a natural experiment. The Economic Journal, 128(612), pp.F210-F234.
Shin, S., Xu, L., Hong, S. and Gu, G., 2016, August. Enhancing network security through software defined networking (SDN). In Computer Communication and Networks (ICCCN), 2016 25th International Conference on (pp. 1-9). IEEE.
Toma, S. and Vause, S., 2014. Gender differences in the role of migrant networks: Comparing Congolese and Senegalese migration flows. International Migration Review, 48(4), pp.972-997.
Weingärtner, R., Bräscher, G.B. and Westphall, C.B., 2015. Cloud resource management: A survey on forecasting and profiling models. Journal of Network and Computer Applications, 47, pp.99-106.
Xiang, B. and Lindquist, J., 2014. Migration infrastructure. International Migration Review, 48, pp.S122-S148.
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