Short answer

When designing systems that span multiple independent networks or cloud providers, invest in robust information models and algorithms that can abstract and manage diverse resources effectively.

Field: Modelling
Source: IEEE Journal on Selected Areas in Communications (2020)
Method: Proof-of-concept prototype development and experimental evaluation in a dedicated test environment.
Evidence: Strong effect

A novel information model and embedding algorithm are crucial for orchestrating diverse cloud and network resources across multiple administrative and technological domains to deliver advanced services. This modelling research insight is drawn from a 2020 study published in IEEE Journal on Selected Areas in Communications. Using Proof-of-concept prototype development and experimental evaluation in a dedicated test environment., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing systems that span multiple independent networks or cloud providers, invest in robust information models and algorithms that can abstract and manage diverse resources effectively.

Study

ModellingHigh ImpactStrong effect

Cross-Domain Orchestration Models Enable Wholesale XaaS Deployment

IEEE Journal on Selected Areas in Communications · 2020

Key Findings

01A novel information model and embedding algorithm are key enablers for cross-domain orchestration.
02The proposed system supports multi-domain, programmable aggregation of resources, information hiding, and flexible delegation.
03The proof-of-concept prototype demonstrated feasibility and good scalability in a multi-site test environment.

Application

Design takeaway

When designing systems that span multiple independent networks or cloud providers, invest in robust information models and algorithms that can abstract and manage diverse resources effectively.

How to apply

When designing a distributed service that requires resources from different providers (e.g., multiple cloud platforms, different network operators), develop a clear information model to represent these resources and an algorithm to intelligently place and manage the service components across them.

Project actions

01Consider how you can model the different components and resources in your design project.
02Think about algorithms that could help manage and allocate these resources efficiently.

Method & Evidence

AimTo design and evaluate a novel cross-domain orchestration system that enables wholesale XaaS services over multiple administrative and technology domains.

MethodProof-of-concept prototype development and experimental evaluation in a dedicated test environment.

ProcedureThe researchers developed a cross-domain orchestration system with a powerful information model and an embedding algorithm. They implemented a prototype and tested it in a multi-site European test environment involving operator and academic sandboxes. Experiments were conducted to evaluate the system's feasibility and scalability.

ContextTelecommunications, Cloud Computing, Network Function Virtualization (NFV), Software-Defined Networking (SDN)

Variables

IVInformation model and embedding algorithm design

DVFeasibility and scalability of cross-domain orchestration

CVNetwork and cloud resource types, European test environment infrastructure

Strengths & Limitations

Strengths

+Novel system design with a strong theoretical foundation.
+Practical proof-of-concept and experimental validation in a multi-site environment.

Limitations

The complexity of implementing a full-scale cross-domain orchestration system in a school project is a significant limitation.

Reliability & validity

The study's reliability is supported by the implementation of a prototype and testing in a dedicated environment. Validity is enhanced by experiments confirming feasibility and scalability, though the controlled nature of the test environment might limit generalizability to real-world conditions.

Think critically

How might the 'information hiding' and 'flexible delegation' aspects of the proposed system impact the security and trust between cooperating operators?

Design Principles

"Abstract complex systems using layered information models and intelligent resource allocation algorithms to enable cross-domain service delivery."

This research highlights the necessity of sophisticated modelling techniques to manage the complexity of modern distributed systems. For designers and engineers, it underscores the importance of abstracting and representing heterogeneous resources and their interdependencies to enable seamless service delivery and resource utilization.

What This Means for Your Design

To make advanced internet services work across different companies' networks, we need smart ways to describe all the different parts and figure out the best way to put them together.

How to use in your project

1.Reference this paper when discussing the modelling of complex systems or the orchestration of distributed resources in your design project.

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Quick Cite

Paragraph starter

The research by Sonkoly et al. (2020) demonstrates the critical role of sophisticated information modelling and embedding algorithms in enabling cross-domain orchestration for advanced services. Their work highlights how abstracting heterogeneous resources and their interdependencies is essential for delivering wholesale XaaS across multiple administrative and technological domains, a principle directly applicable to designing complex, distributed systems.

Source

IEEE Journal on Selected Areas in Communications

5G Applications From Vision to Reality: Multi-Operator Orchestration

journal · 2020

View source

Questions About This Research

What does the research say about cross-domain orchestration models enable wholesale xaas deployment?: When designing systems that span multiple independent networks or cloud providers, invest in robust information models and algorithms that can abstract and manage diverse resources effectively. Evidence: IEEE Journal on Selected Areas in Communications (2020).
Why does "Cross-Domain Orchestration Models Enable Wholesale XaaS Deployment" matter for design?: This research highlights the necessity of sophisticated modelling techniques to manage the complexity of modern distributed systems. For designers and engineers, it underscores the importance of abstracting and representing heterogeneous resources and their interdependencies to enable seamless service delivery and resource utilization.
How can designers apply this research?: When designing systems that span multiple independent networks or cloud providers, invest in robust information models and algorithms that can abstract and manage diverse resources effectively.
What were the main findings?: A novel information model and embedding algorithm are key enablers for cross-domain orchestration.. The proposed system supports multi-domain, programmable aggregation of resources, information hiding, and flexible delegation.. The proof-of-concept prototype demonstrated feasibility and good scalability in a multi-site test environment.
What research method was used?: Proof-of-concept prototype development and experimental evaluation in a dedicated test environment..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2020 journal from IEEE Journal on Selected Areas in Communications.
What should I do differently in my next project?: When designing a distributed service that requires resources from different providers (e.g., multiple cloud platforms, different network operators), develop a clear information model to represent these resources and an algorithm to intelligently place and manage the service components across them.
What are the limitations?: The study focuses on a specific set of 5G applications and may not generalize to all potential XaaS services. The test environment, while multi-site, represents a controlled academic/operator sandbox and may not fully capture the complexities of real-world commercial deployments.