Emergent Software Services

TICSw @ncardoz
Emergent Software Services
Nicolás Cardozo
n.cardozo@uniandes.edu.co
Amsterdam November 2nd 2016

What this is all about2
forward!

forward!
pull push

Env1 Env2

4
1. Complexity of systems is increasing (data, connections)
Why should we care

4
Software systems are not isolated, they interact and
influence each other2.
Why should we care

4
Software systems are not isolated, they interact and
influence each other2.
3. Users’ expectancy for personalization and interaction increases
Why should we care

Pervasive services5
Service S = compose(Serviceweather, Servicebike, Servicetraffic, Serviceroute)

Pervasive services5
Sbike
Sweather
Straffic
Sroute

Pervasive services5
What if components disappear
Knowledge about services in the
network is required
Sbike
Sweather
Straffic
Sroute

Disappearing components6
[Chen et al. goal-driven service composition in mobile pervasive computing. TSC 2016]

Enhanced routing for smarter cities8
People as
sensors
Air quality sensors
…
Noise sensors
[Nallur et al. Smart route planning using open data and participatory sensing. OSS 2015]

Deﬁnition of service components9
var noise = new Service({
inputs: [],
outputs: [[e1, nw1], [e2, nw2], ...],
qos: { "priority": 1 },
serviceInterface: {
service: function() {
_.each(this.graph.edges, function(e) {
client.get('fwk',function(err,reply){
this.outputs.push[e, reply];
});
});
}
},
combinator: function(serviceStates) {
_.each(serviceStates, function(state) {
_.each(state.data, function(edge, w) {
_.map(this.graph.edges, function(e) {
if(e.id == edge.id)
e.weight.push(w);
});
});
}, this);
return this.graph;
}
});

Components interaction10
Service1Service2
Spontaneous
discovery of services

Service1Service2
Spontaneous
Type2
Outputs: {
O21,
O22,
…
}
Inputs: {
I21,
I22,
…
}
Type1
Outputs: {
O11,
O12,
…
}
Inputs: {
I11,
I12,
…
}

Service1Service2
Spontaneous
Type2
Outputs: {
O21,
O22,
…
}
Inputs: {
I21,
I22,
…
}
Type1
Outputs: {
O11,
O12,
…
}
Inputs: {
I11,
I12,
…
}
when(Service1 of Type2) then compose(Service1, Service2)

Service1Service2
Spontaneous
Type2
Outputs: {
O21,
O22,
…
}
Inputs: {
I21,
I22,
…
}
Type1
Outputs: {
O11,
O12,
…
}
Inputs: {
I11,
I12,
…
}
if(Outputs1 ⊆ Inputs2) then compose(Service1, Service2)

Service1Service2
Spontaneous
Type2
Outputs: {
O21,
O22,
…
}
Inputs: {
I21,
I22,
…
}
Type1
Outputs: {
O11,
O12,
…
}
Inputs: {
I11,
I12,
…
}
if(Outputs1 ⊆ Inputs2) then compose(Service1, Service2)
push Service1+Service2

inputs: [],
outputs: [[e1, nw1], [e2, nw2], ...],
serviceInterface: {
});
});
}
},
if(e.id == edge.id)
e.weight.push(w);
});
});
}, this);
return this.graph;
}
});
discovery elements

Composing services13
inputs: [],
outputs: [[e1, nw1], [e2, nw2], ...],
serviceInterface: {
});
});
}
},
if(e.id == edge.id)
e.weight.push(w);
});
});
}, this);
return this.graph;
}
});
Service combination

Servicerouting
Servicenoise
q-value

Servicerouting
Servicenoise
q-value
Serviceless-cool-noise
q-value

Servicerouting
Servicenoise
q-value
push service
Serviceless-cool-noise
q-value

Ok, I’ll buy that. But
does it work?
15

Color Palette16
R
G
B
255
50
0

Color Palette16
R
G
B
∔
255 30
50 100
0 238

Color Palette16
R
G
B
∔
255 30
=
255
50 100 150
0 238 238

Color Palette17
1
10
100
0 2 4 6 8 10
No.ofemergentservices
No. of available service components
estimate
values
n+1

Color Palette18
C
Y
M
K
∔ ∔/

Color Palette19
1
10
100
1000
10000
0 10 20 30 40 50
estimate
values
n+1

21
1
10
100
1000
10000
100000
1000000
10000000
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51
values
lower bound
upper bound
Poker hand
nP5
nC5

22
Enhanced routing for smarter cities

22
Mordor
Available Services:
1. Routing
2. Noise
Home automation servicesResource servicesUser preference servicesNavigation services
3. Noise routing
4. Air routing
5. Noise air routing
6. Air
7. Air noise routing
8. Noise air
9. Air noise

22
Mordor
Available Services:
1. Routing
2. Noise
3. Noise routing
4. Air routing
6. Air
8. Noise air
9. Air noise
Mordor
Available Services:
1. Routing
2. Noise
3. Noise routing
4. Air routing
6. Air
8. Noise air
9. Air noise
10. Jogging routing
11. Biking routing
12. Noise jogging routing
13. Jogging biking routing

22
Mordor
Available Services:
1. Routing
2. Noise
3. Noise routing
4. Air routing
6. Air
8. Noise air
9. Air noise
Mordor
Available Services:
1. Routing
2. Noise
3. Noise routing
4. Air routing
6. Air
8. Noise air
9. Air noise
10. Jogging routing
11. Biking routing
12. Noise jogging routing
13. Jogging biking routing
Duathlon

Extracting semantics24
How to give mining to composed
services
‣ Semantic definitions
‣ Linguistic creation of meaning
‣ RDF in semantic web
‣ Viewpoints

Choice??!!25
The paradox of choice
✓ Classification by service type
✓ Using previously used services
‣ Learning from users’ behavior
‣ Filtering pointless compositions

Acceptance
26
Tolerance
‣ Comprehensive user empirical studies
‣ Techniques to be explored:
‣ Services explanation
‣ Improving the definition of conditions
for filtering

@ncardoz
28
✓ Shifting the service computing model from a
pull-based model to a push-based model
Required developers’ knowledge about the
environment
Exploit more service components
“Service availability”

@ncardoz
28
Questions?
✓ Shifting the service computing model from a
pull-based model to a push-based model
Required developers’ knowledge about the
environment
Exploit more service components
“Service availability”

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