Autonomic Aspects of IoT Based Systems: A Logistics Domain Scheduling Example - Interoperability and Open-Source Solutions for the Internet of Things - page 149

Autonomic Aspects of IoT Based Systems:
A Logistics Domain Scheduling Example

B

Septimiu Nechifor 1 , Dan Puiu 1(

) , Bogdan Tarnauca 1 ,
and Florin Moldoveanu 2

1 Siemens Corporate Technology Romania, Brasov, Romania
[e-mail]
2 Transilvania University of Brasov, Brasov, Romania

Abstract. A logistics domain application based on IoT paradigm and
autonomic computing is presented in this paper. We have considered
a logistics scenario, where at the outskirts of a city several depots are
located, which provide construction materials and equipment for different
construction sites located inside the city. The transport company mini-
vans are responsible for delivering the construction materials. The appli-
cation dynamically reconfigures the routes of the minivans based on the
trac conditions. In order to generate data for the smart city IoT envi-
ronment, we have used the CoReMo (Constraints Responsive Mobility)
emulator. The dynamic reconfiguration system is based on the MAPE-K
(Monitor, Analyse, Plan, Execute - Knowledge) autonomic loop. For the
analysis phase we have used the Esper complex event processing engine
and the planing phase is ensured by the CHOCO constraints solver.

1 Introduction

Even if the last decade had a constant increase for the price of fuels, the trans-
portation of persons and goods has increased [ 1 ]. The national and local author-
ities face complicated problems, because of the big number of vehicles present
on roads. The authorities are forced to constantly maintain, adapt and extend
the trac infrastructure, very often under severe spatial, temporal and financial
constraints. Also the inhabitants' comfort, productivity and health are affected
by road based terrestrial transportation conditions [ 2 ]. In addition to that, the
increasing trac directly affects the environment because of the resulting CO 2
and other harmful gases and particle emissions [ 2 ].
Because the number of vehicles present on roads cannot be reduced, the
authorities and city planners are highly interested for implementing solutions
that can optimise the existing resources and infrastructure. These optimizations
should decrease the number of trac jams, reduce the transportation cost and
fuel consumption and increase the comfort of travellers, drivers or inhabitants
of trac rich communities [ 2 ]. In technical literature there are several papers
which present solutions for trac optimisations, such as [ 3 - 5 ].
Fortunately, the technological advances in the Information and Communica-
tions Technology (ICT) domain, such as wireless communications, sensor net-
works, mobile devices, Global Positioning Systems (GPS) devices can be used to
c Springer International Publishing Switzerland 2015