Open AccessInfrastructure Capacity Planning in Digitalization of Educational Services
Author(s) -
Pavel Petrov,
Mihail Radev,
Георги Димитров,
Dimitrios Simeonidis
Publication year - 2022
Publication title -
international journal of emerging technologies in learning/international journal: emerging technologies in learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v17i03.27811
Subject(s) - workload , computer science , virtualization , process (computing) , work (physics) , capacity planning , task (project management) , process management , capacity management , critical infrastructure , information technology management , engineering management , risk analysis (engineering) , systems engineering , information system , computer security , business , operating system , management information systems , cloud computing , engineering , computer network , mechanical engineering , electrical engineering
Capacity planning of the infrastructure is a difficult task performed during the virtualization of the IT infrastructure. It is the planning of the necessary hardware to which the existing systems will be transferred, and later the future systems that will work in a virtualized environment. Infrastructure capacity planning in digitalization of educational services is a process in which the IT infrastructure is needed to meet not only the current workload but also the future workload and to follow further requirements. In case the process of planning is well performed, it could more fully support the development of emerging technologies in learning. The traditional IT infrastructure, bound by the physical limitations of the devices, does not meet the requirements for flexible changes, for quick recovery after a problem. This leads to difficult management, to weaknesses in the implementation of educational processes. Virtualization could solve most of these problems for modern IT infrastructures. It provides highly efficient and reliable operation of operating systems and applications that do not depend on the computer system.