Method for service placement in a multi-access/mobile edge computing (MEC) system
The disclosure relates to a method, an apparatus and a non-transitory computer readable media for service placement in a multi-access/mobile edge computing (MEC) system, comprising: iteratively, for each subset of services or applications s u of each type u, u being element of a set of U of unique V2X services or applications sorted in order of latency requirement: calculating an average latency for the subset of services or applications s u ; selecting a node c providing a latency smaller than or equal to the calculated average latency and providing enough capacity to run the subset of services or applications s u ; placing the subset of services or applications s u on the node c; and updating a list of available nodes.
1. A method for service placement in a multi-access/mobile edge computing (MEC) system, comprising:
iteratively, for each subset of services or applications s u of each type u, u being element of a set of U of unique V2X services or applications sorted in order of latency requirement:
a. calculating an average latency for the subset of services or applications s u ;
b. selecting a node c providing a latency smaller than or equal to the calculated average latency and providing enough capacity to run the subset of services or applications s u ;
c. placing the subset of services or applications s u on the node c; and
d. updating a list of available nodes.
2. The method of claim 1 , further comprising receiving as input a set S of subsets of V2X services or applications instances s u to be placed, the set U of unique V2X services or applications and a set C of computing nodes c operative to host the V2X services or applications and sorting the set of U of unique V2X services or applications in order of latency requirement.
3. The method of claim 2 , wherein the average latency for the subset of services or applications s u is computed using
∑
c
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C
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s
c
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1
V
∑
v
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v
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;
∀
s
∈
S
where:
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service
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,
ν is a vehicle accessing V2X services instances,
V is a set of vehicles accessing V2X services instances, and
d s,ν c is the latency experienced by vehicle ν served by a V2X service instance s if placed at computing node c.
4. The method of claim 1 , wherein the step of selecting further comprises, checking if the node c provides enough capacity to run the subset of services or applications s u .
5. The method of claim 4 , wherein checking if the node c provides enough capacity to run the subset of services or applications s u comprises checking if a remaining capacity at node c is greater than the computational resource requirement of the V2X service or application instances s composing the subset s u and if a latency experienced by each vehicle ν served by V2X a service or application instance s if placed at computing node c is smaller than a latency threshold predefined for the V2X service or application instance s.
6. The method of claim 4 , wherein checking if the node c provides enough capacity to run the subset of services or applications s u comprises checking that:
Σ s∈S X s c R s i ≤Cap c i ; ∀c∈C, ∀i ∈{CPU,memory,storage}, where:
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s
c
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1
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if
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service
/
application
s
is
placed
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computing
node
c
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0
,
otherwise
,
R s i is the computational resource requirement of V2X service or application instance s, where i∈{CPU, memory, storage}, and
Cap c i is the available computational resource i at computing node c.
7. The method of claim 2 , wherein updating the list of available nodes further comprises updating a remaining capacity of node c by deducting the capacity required by the subset of services or applications s u and removing c from the set C of computing nodes to host the V2X services if c has reached full capacity.
8. The method of claim 1 , wherein the node c is selected between edge nodes, network backbone nodes and core cloud nodes.
9. The method of claim 8 , wherein:
an edge node is selected when the average latency requested for the subset of services or applications s u is less than or equal to 100 milliseconds;
a network backbone node is selected when the average latency requested for the subset of services of applications s u is greater than 100 milliseconds and less than or equal to 500 milliseconds; and
a core cloud node is selected when the average latency requested for the subset of services of applications s u is greater than 500 milliseconds.
10. The method of claim 2 , further comprising, when redundancy of the subset of the services or applications s u is requested, placing each service or application instance s of the subset s u individually on different nodes c and ensuring redundancy using:
Σ s∈S u X s c ≤1; ∀ c∈C; ∀u∈U , where:
X
s
c
=
(
1
,
if
V
2
X
service
/
application
s
is
placed
on
computing
node
c
,
0
,
otherwise
.
11. An apparatus for service placement in a multi-access/mobile edge computing (MEC) system comprising processing circuits and a memory, the memory containing instructions executable by the processing circuits whereby the apparatus is operative to:
iteratively, for each subset of services or applications s u of each type u, u being element of a set of U of unique V2X services or applications sorted in order of latency requirement:
a. calculate an average latency for the subset of services or applications s u ;
b. select a node c providing a latency smaller than or equal to the calculated average latency and providing enough capacity to run the subset of services or applications s u ;
c. place the subset of services or applications s u on the node c; and
d. update a list of available nodes.
12. The apparatus of claim 11 , further operative to receive as input a set S of subsets of V2X services or applications instances s u to be placed, the set U of unique V2X services or applications and a set C of computing nodes c operative to host the V2X services or applications and to sort the set of U of unique V2X services or applications in order of latency requirement.
13. The apparatus of claim 12 , wherein the average delay for the subset of services or applications s u is computed using
∑
c
∈
C
X
s
c
(
1
V
∑
v
∈
V
d
s
,
v
c
)
;
∀
s
∈
S
where:
X
s
c
=
(
1
,
if
V
2
X
service
/
application
s
is
placed
on
computing
node
c
,
0
,
otherwise
,
ν is a vehicle accessing V2X services instances,
V is a set of vehicles accessing V2X services instances, and
d s,ν c is the latency experienced by vehicle ν served by a V2X service instance s if placed at computing node c.
14. The apparatus of claim 11 , further operative to check if the node c provides enough capacity to run the subset of services or applications s u .
15. The apparatus of claim 14 , further operative to check if a remaining capacity at node c is greater than the computational resource requirement of the V2X service or application instances s composing the subset s u and if a latency experienced by each vehicle ν served by V2X a service or application instance s if placed at computing node c is smaller than a latency threshold predefined for the V2X service or application instance s.
16. The apparatus of claim 14 , further operative to check if the node c provides enough capacity to run the subset of services or applications s u by checking that:
Σ s∈s X s c R s i ≤Cap c i ; ∀c∈C, ∀i ∈{CPU,memory,storage}, where:
X
s
c
=
(
1
,
if
V
2
X
service
/
application
s
is
placed
on
computing
node
c
,
0
,
otherwise
,
R s i is the computational resource requirement of V2X service or application instance s, where i∈{CPU, memory, storage}, and
Cap c i is the available computational resource i at computing node c.
17. The apparatus of claim 12 , further operative to update a remaining capacity of node c by deducting the capacity required by the subset of services or applications s u and removing c from the set C of computing nodes to host the V2X services if c has reached full capacity.
18. The apparatus of claim 11 , wherein the node c is selected between edge nodes, network backbone nodes and core cloud nodes.
19. The apparatus of claim 18 , operative to select:
an edge node when the average latency requested for the subset of services or applications s u is less than or equal to 100 milliseconds;
a network backbone node when the average latency requested for the subset of services of applications s u is greater than 100 milliseconds and less than or equal to 500 milliseconds; and
a core cloud node when the average latency requested for the subset of services of applications s u is greater than 500 milliseconds.
20. The apparatus of claim 12 , operative to, when redundancy of the subset of the services or applications s u is requested, place each service or application instance s of the subset s u individually on different nodes c and ensure redundancy using:
Σ s∈S u X s c ≤1; ∀ c∈C; ∀u∈U , where:
X
s
c
=
(
1
,
if
V
2
X
service
/
application
s
is
placed
on
computing
node
c
,
0
,
otherwise
.
21. A non-transitory computer readable media having stored thereon instructions for service placement in a multi-access/mobile edge computing (MEC) system, the instructions comprising:
iteratively, for each subset of services or applications s u of each type u, u being element of a set of U of unique V2X services or applications sorted in order of latency requirement:
a. calculating an average latency for the subset of services or applications s u ;
b. selecting a node c providing a latency smaller than or equal to the calculated average latency and providing enough capacity to run the subset of services or applications s u ;
c. placing the subset of services or applications s u on the node c; and
d. updating a list of available nodes.