DTGOV Webserver: An Infrastructure as a Service (IaaS) Analysis Report

Desklib provides past papers and solved assignments. This report analyzes IaaS solutions for DTGOV's webserver.

• Multiple users can work on a
single platform
• There is payment but to only to
the services you want.
• IaaS will not close even when your
server goes off
• Resources distributed as a service.
DTGOV WEBSERVER
WORKING WITH THE
IAAS

About IaaS
 The full form of the IaaS is the
infrastructure as a service. The
architecture of the IaaS have three
categories they are Alongside software
also can be SaaS and the Platform as a
service which can be PaaS and the cloud
computing services.

How the user will get benefits
 Cost efficient
 Operate workloads
 Flexibility
 Highly dependent

The types of the Cloud
Architectures
The best Cloud architecture is AWS :
 Load balancing
 Elastic Load Balancer
 Elastic Caches
 Amazon RDS
 Amazon Cloud-front
 Hosting RDMS on the EC2 Instances
 Backups and storage:
 Auto-scaling(Afghan et al., 2019 )

Why current infrastucture is not
good?
 Flexibility is not there.
 Architecture is not good.
 No use of virtual machines.

Benefits of moving from Office 365 to
automation suite
 Data Management
 Data Exchange:
 Data Storage and the manipulation
 Accuracy:
 Reduce the cost(Ortiz, A 2019)

how a cloud-based approach differ
from on-premise data center.
 What are the solutions are housed
 Cloud environment foster collaboration
and better application delivery
 Think about bandwidth
 Electricity costs are something to
consider(Blanco et al., 2019)

Difference between the
SaaS,PaaS,IaaS.
 Software as a service(SaaS)
 Platform as a service(PaaS)
 Infrastructure as a service (IaaS)(Nanos,
et al., 2019 )

Which model should DTGOV
select?
 IaaS which means for Infrastructure as a
service because service will not close
even when your server goes off
Infrastructure wants to provide the
greater reliability to which the cloud
providers can have various resources and
the multiple servers and the data
centers(Cao et al., 2019)

What problem will be faced by
DTGOV and how it will be resolve?
 Downtime
 Security and Privacy:
 Vulnerability to Attack
 Vendor Lock-In

References
 Afghan, E., Lonie, A., Taylor, J., & Goonasekera, N. (2019). CloudLaunch: Discover and deploy cloud
applications. Future Generation Computer Systems, 94, 802-810.
 Makhlouf, S.A. and Yagoubi, B., 2019. Data-Aware Scheduling Strategy for Scientific Workflow
Applications in IaaS Cloud Computing. International Journal of Interactive Multimedia & Artificial
Intelligence, 5(4).
 Dashofy, E.M., 2019. Software Engineering in the Cloud. In Handbook of Software Engineering (pp.
491-516). Springer, Cham.
 Mezgár, I., & Pedone, G. (2019). Cloud-Based Manufacturing (CBM) Interoperability in Industry 4.0.
In Technological Developments in Industry 4.0 for Business Applications (pp. 171-198). IGI Global.
 Blanco-Cuaresma, S., Accomazzi, A., Kurtz, M. J., Henneken, E., Grant, C. S., Thompson, D. M., ... &
Templeton, M. R. (2019). Fundamentals of effective cloud management for the new NASA
Astrophysics Data System. arXiv preprint arXiv:1901.05463.
 Ortiz, A. (2019, February). Architecting Serverless Microservices on the Cloud with AWS.
In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 1240-
1240). ACM.
 Afgan, E., Lonie, A., Taylor, J., & Goonasekera, N. (2019). CloudLaunch: Discover and deploy cloud
applications. Future Generation Computer Systems, 94, 802-810.
 Nanos, I., Manthou, V., & Androutsou, E. (2019). Cloud Computing Adoption Decision in E-
government. In Operational Research in the Digital Era–ICT Challenges (pp. 125-145). Springer,
Cham.
 Cao, Y., Lung, C. H., Ajila, S. A., & Li, X. (2019). Support mechanisms for cloud configuration using
XML filtering techniques: A case study in SaaS. Future Generation Computer Systems, 95, 52-67.
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