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Nov 22, 2022 252 likes •480 views

Making a Business Out of (Predictive Application Management in) the Fog Giuseppe Astuti, Antonio Brogi, Stefano Forti Service-oriented, Cloud and Fog Computing Research Group Department of Computer Science University of Pisa, Italy 5th

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Making a Business Out of (Predictive Application Management in) the Fog

Giuseppe Astuti, Antonio Brogi, Stefano Forti

Service-oriented, Cloud and Fog Computing Research Group Department of Computer Science University of Pisa, Italy

5th International Workshop on Internet of Things: Networking Applications and Technologies, June 12, 2019, Rome, Italy

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Embedded AI Autonomous driving Drones for deliveries Energy production Smart Cities

CONTINUOUS IOT GROWTH

SLIDE 3

microservices multi-component

smotic

LARGE HIGHLY DISTRIBUTED SOFTWARE SYSTEMS

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mist cloud micro-cloud fog IoT edge

PERVASIVELY DISTRIBUTED INFRASTRUCTURES

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STRINGENT QoS REQUIREMENTS

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How to deploy (and re-deploy)

LARGE HIGHLY DISTRIBUTED SOFTWARE SYSTEMS

to

PERVASIVELY DISTRIBUTED INFRASTRUCTURES

so so to

guarantee their

STRINGENT QoS REQUIREMENTS

?

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It’s NP-hard!

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Research Questions

Which is the best deployment (i.e. placement)? How to achieve an effective management?

* A. Brogi, S. Forti, C. Guerrero, I. Lera. "How to Place Your Apps in the Fog-State of the Art and Open Challenges." arXiv:1901.05717 (2019).

Much work has been done in this field* by proposing approaches to improve app deployment & management based on predicted KPIs.

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From a business-oriented perspective

How can such company create, deliver and capture value for its customers? Who are they? Is there room for a company provisioning predictive Fog application management services?

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Some data about the Fog*

* 451 Research, “Size and Impact of Fog Computing Market”, 2017.

Fog computing global market will exceed $18 billion by 2022 Annual growth rate

f 110% in 2018-2022

for Fog services Market share increase from 15.7% to 20.4%

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Company

Some assumptions

Predictive App Management Tools Infrastructure Monitoring (E2E QoS, node resources, IoT)

What could be the business model

f such a company?

https://di-unipi-socc.github.io/

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Tools

Business Model Canvas Methodology

(Osterwalder and Pigneur, 2010)

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Our Actors

Asset Manufacturers (AMs) Infrastructure Providers (IPs) App Operators (AOs)

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Market Forces

Market Issues

Towards the Edge -> less powerful, user-managed devices
Large-scale to be tamed (infrastructure and apps)

Market Segments

AMs (and smaller start-ups)
IPs (and telco, federated providers)
AOs (and IoT producers)

Needs & Demands

Apps & resource management, SLAs, more control for the users

Revenue Attractiveness

Short-term trial -> acquiring know-how
Outsourcing application management and federation

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Industry Forces

Competitors

AMs and IPs that can leverage competitive advantage
AMs and IPs limited to their infrastructure(s)
Third-party «broker» can be considered more trustworthy

Substitute Services

(Semi-)manual management -> time-consuming & error-prone

Suppliers and Other Value Chain Actors

IPs must provide data on their infrastructures
Partnerships or acquiring know-how

Stakeholders

Influencers, governments, researchers

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Key Trends

Technology Trends

Growing Internet access (51%) and QoS, cheaper hardware
Interest in automated app management (TOSCA)
XaaS -> Management-as-a-Service (?)

Societal & Cultural Trends

From mass production to mass customisation
Greater user-awareness on trust, privacy and security
Need for human-centred designs

Socio-economic trends

Large investments in e-health, automotive, industry 4.0

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Macro-Economic Forces

Global Market Conditions

After a volatile end to 2018, tentative stability has returned to risky markets at the start of the new year[…]. Growth momentum has slowed, but the deceleration phase should end before midyear with supportive and flexible policy actions[…]. Recession risks, in the meantime, remain modest for the year ahead.

(JP Morgan, 2019) Capital Markets

Incentives for start-ups and Industry 4.0

Commodities and Other Resources

Developer salaries in the range 40K-80K USD

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ASSET MANUFACTURERS PREDICTIVE APPLICATION MANAGEMENT SERVICE FOR AMs’ ECOSYSTEMS LICENSING SALES NETWORK WEB PERSONNEL SALARIES WEB MARKETING COSTS CLOUD RESOURCES RESEARCH & DEVELOPMENT MARKETING AND SALES CUSTOMER SERVICE WEB MARKETING SELF-SERVICE SUPPORT SERVICE TOP QUALITY PREDICTIVE METHODOLOGIES

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FREE APPLICATION OPERATORS INFRASTRUCTURE PROVIDERS BASIC PREDICTIVE APPLICATION MANAGEMENT SERVICE PERSONNEL SALARIES WEB MARKETING COSTS CLOUD RESOURCES COMPLETE PREDICTIVE APPLICATION MANAGEMENT SERVICE SUBSCRIBING APPLICATION OPERATORS FREE LIMITED BASIC ACCOUNT SUBSCRIPTION BASED ACCOUNT WEB MARKETING SELF-SERVICE SUPPORT SERVICE RESEARCH & DEVELOPMENT MARKETING CUSTOMER SERVICE TOP QUALITY PREDICTIVE METHODOLOGIES SALES NETWORK WEB IPs ADVERTISEMENT

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Concluding Remarks

Independent company Selling know-how

Business Model Environment analysis
Two prototype Business Models

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Next step: go to market…

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Making a Business Out of (Predictive Application Management in) the Fog

Giuseppe Astuti, Antonio Brogi, Stefano Forti

Service-oriented, Cloud and Fog Computing Research Group Department of Computer Science University of Pisa, Italy

5th International Workshop on Internet of Things: Networking Applications and Technologies, June 12, 2019, Rome, Italy