Database Reference
In-Depth Information
5.3 Experiment Setup
LSM-Light modules can be deployed under different platform and the minimum
requirement used in the performed experiment in Fed4FIRE are indicated at the Table 1
as follow:
Table 1. SSC-Fed4FIRE experimental setup
Fed4FIRE
Platform
BonFIRE PlanetLab
Virtual Wall
Number of
servers
1 LSM Live View Server 5
nodes CQELS cluster
(1 master, 4 slaves),
10 servers across
different sites in
Europe, Tomcat
Webserver
10 servers × 10
(CQELS clients
each)
CPU
4 cores
10 cores
10 cores
Memory
8 GB
8 GB
8 GB
Storage
10 GB internal + 80 GB
Data block
10 GB
internal + 50 GB
Data block
10 GB
internal + 50 GB
Data block
Network
IPv4 + IPv6
IPv4
IPv6
OS
Debian
Fedora
Ubuntu
Imaging
support
Yes
No
No
Tools used Web Portal, CLI tools
jFed
jFed
The autonomic agent proposed deployment was partially tested in the Fed4FIRE
platform. The Project Fed4FIRE is an effort to deliver a common federation framework
for Future Internet Research and Experimentation facilities. It enables experimenters
from different communities to easily access existing testbeds while federated tools
support powerful experiment lifecycle management. During the course of this exper-
iment, the use of three testbeds: BonFIRE, PlanetLab Europe and Virtual Wall to
deploy IoT services, each of which has different capability and technical aspects, were
required.
6 Conclusions and Future Work
The architecture design and development of competent autonomic elements for IoT
requires an effective marriage of technology with the functionality and capacity of the
Internet of Things systems.
An assortment of perfectly self-managing autonomic elements will not yield an
autonomic computing system unless the elements share a set of common behaviours,
interfaces and interaction patterns that are demonstrably capable of engendering sys-
tem-level self management.
Initial experiments to test self-con
guration and self-deployment capacity have been
tested in the framework of SSC-Fed4FIRE experiments. It has been demonstrated the
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