Mimicking FogDirector Application Management Stefano Fort orti, - - PowerPoint PPT Presentation

Mimicking FogDirector Application Management

Stefano Fort

• rti, Ahmad Ibrahim and Antonio Brogi

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

12th Symposium and Summer School On Service-Oriented Computing, June 25 – June 29, 2018 in Crete, Greece

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4

IoT Deployment Models

M2M/ LAN/WAN

Cloud

Internet

IoT+ T+Edge

• Low latencies, but
• Limited capabilities,
• Difficulties in sharing data

IoT+Clo loud

• Huge computing power, but
• Mandatory connectivity,
• High latencies,
• Bandwidth bottleneck.
• Not sufficient per se to

support the IoT mo momentu tum alone.

• There is a need for filt

lterin ing and pr proc

• cessin

ing before the Cloud.

• Processing should occur

wherever it is best-pla laced ed for any given IoT application

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Fog Computing

Fog

Cloud

Fog computing is a system-level horizontal

architecture that distributes resources and services

• f computing, storage, control and

networking anywhere along the continuum from Cloud to Things, thereby accelerating the

velocity of decision making.

Fog-centric architecture serves a specific subset of business problems that cannot be successfully implemented using only traditional cloud based architectures or solely intelligent edge devices.

[OpenFog Reference Architecture, 2016.] 6

Fog Director

A single pane of glass to manage ap appli lication lif lifec ecycle le

• n Fog devices.

FogDirector

A P I

infrastructure

app admin

# management.py

publish(id,A) n = choose(get_info_N()) d = deploy(id,n) start(d)

• n alert do

stop(d) undeploy(d); m = choose(get_info_N())) deploy(id, m)

# management.py

publish(id,A) n = choose(get_info_N()) d = deploy(id,n) start(d)

• n alert do

stop(d) undeploy(d); m = choose(get_info_N())) deploy(id, m)

# management.py

publish(id,A) n = choose(get_info_N()) d = deploy(id,n) start(d)

• n alert do

stop(d) undeploy(d); m = choose(get_info_N())) deploy(id, m)

RE REST API PI GU GUI

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The App

Steve, App Admin

SmartBuilding

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Problems

#1 #1 (quickly) un understand Fog

• gDir

irector functioning #2 #2 write corr

• rrect and

effect ctive management

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Problem #1

https://www.cisco.com/c/en/us/td/docs/routers/access/800/software/guides/iox/fog-director/reference-guide/1-6/fog_director_ref_guide.html

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Solution #1

• Ope

peratio ional l sem semantic ics of all ba basi sic fun functionalit itie ies of FogDirector.

• Com

Compact and un unambiguous reference.

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Anatomy of a rule

CLIENT MANAGEMENT PROGRAM OPERATION AND PARAMETERS CONDITIONS FOR

THE OPERATION TO BE SUCCESSFUL

ERROR CODE INFRASTRUCTURE STATE MANAGED APPS

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Problem #2

• Corr

Correctness can be verified by using the semantics.

• Effectiveness involves considering

variations in:

• Fog node res

esources and

• QoS of communication links
• Wh

What the then? write corr

• rrect and

effective management

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Problem #2

• Corr

Correctness can be verified by using the semantics.

• Effectiveness involves considering

variations in:

• Fog node res

esources and

• QoS of communication links
• Wh

What the then? write corr

• rrect and

effective management

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Solution #2

A P I

monitored infrastructure data

FogDirMime

# management.py

publish(id,A) n = choose(get_info_N()) d = deploy(id,n) start(d)

• n alert do

stop(d) undeploy(d); m = choose(get_info_N())) deploy(id, m)

app admin

https://github.com/di-unipi-socc/FogDirMime

FogDirMime is the core of a simulator:

• Infr

frastructure mgmt

• App mgmt
• Monitoring & Aler

erts (A2T, resource)

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The Big Picture

A P I

FogDirector

A P I

infrastructure monitored infrastructure data

# management.py

publish(id,A) n = choose(get_info_N()) d = deploy(id,n) start(d)

• n alert do

stop(d) undeploy(d); m = choose(get_info_N())) deploy(id, m)

FogDirMime

app admin

probabilistic sampling of f latency & bandwidth and of f available node res esources varying network Qo QoS S and workload conditions

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App pp Infr fras astru ruct cture

A (simple) example

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A P I

FogDirMime

A (simple) example

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Conclusions

con

• ncise and

una unambiguous s reference for FogDirector

validation of management scripts at desi esign time

perf perform rmance pr pred ediction and tuni tuning of management

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Future Work

include othe

• ther

fun functionalit itie ies and QoS QoS-aware management consider sc scali ling and

• sm
• smotic com
• mputing

for mul ulti-component ap appli lications implement a full- fledged sim simulatio ion en environment for FogDirector study other recent tools such as EdgeX Fou

• undry

ryTM

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Q&A → Poster Session

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Mimicking FogDirector Application Management

Stefano Fort

• rti, Ahmad Ibrahim and Antonio Brogi

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

12th Symposium and Summer School On Service-Oriented Computing, June 25 – June 29, 2018 in Crete, Greece

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