It is quite common for both parents in a family to work. Sometimes this is because they need two salaries to survive whereas other times it is their choice. What are the problems you see in this situation? How does this affect the children and the family life?

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The main objective of applying self-structuring artificial intelligence for Software Defined Networks (SDN) in
Data
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Centres is to minimise the human intervention on managing SDNs effectively to optimise the
network
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performance, service orchestration, troubleshooting and proactive fault mitigation. Nowadays,
data
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centres are an essential resource due to the progressive digitalization of organizations and the technologically advancing world. Modern
data
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centres are driven by SDNs to facilitate the dynamically changing traffic demand and modern
network
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application requirements
such
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as high volatile resource provisioning which needs flexible and agile control of the
Data
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Center
network
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infrastructure. The resources within an SDN are becoming more sophisticated and heterogeneous,
such
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that it is challenging to effectively organise, manage, secure and optimise the SDN manually. Even though conventional Artificial intelligence (AI) algorithms have been applied to overcome some of these challenges,
however
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, the need for a human operator still exists in either the design, application or deployment of
such
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algorithms and models.
This
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research aims to apply Self-Structuring Artificial Intelligence (SS-AI), a new type of AI that continuously adapts to the environment, to SDNs which would mitigate difficulties of pre-determining a suitable AI architecture in conventional AI for more complex, non-deterministic and dynamic environments like
data
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centre
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networks. Metrics and
data
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about the
Data
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Centre
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network
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will be captured, transformed, and streamed in real-time(near real-time) into the AI layer using a
data
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streaming platform. Different SS-AI models could be created to represent different domains which could be used to detect anomalies, patterns, trends and other useful features.
Moreover
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, these models can be fused together to
further
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identify correlations and relationships.
This
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research would produce a minimal viable product (MVP) that could be deployed in a real-world
data
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centre
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which have features
such
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as comprehensive visualization of the operational metrics of the
data
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centre
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, proactive fault detection and root cause analysis, resource requirement prediction based on historical trends, real-time (near real-time) automated and optimal
network
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management and service orchestration.
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    • Sentence 1 - Background statement
    • Sentence 2 - Detailed background statement
    • Sentence 3 - Thesis
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    • Sentence 1 - Topic sentence
    • Sentence 2 - Example
    • Sentence 3 - Discussion
    • Sentence 4 - Conclusion
  • Paragraph 3 - Second supporting paragraph
    • Sentence 1 - Topic sentence
    • Sentence 2 - Example
    • Sentence 3 - Discussion
    • Sentence 4 - Conclusion
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Topic Vocabulary:
  • dual-income families
  • work-life balance
  • parent-child interaction
  • childcare services
  • financial stability
  • career-oriented parents
  • emotional development
  • social development
  • household responsibilities
  • parental supervision
  • academic performance
  • family cohesion
  • time management
  • pressure of modern living
  • outsourcing parenting
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