ARCHITECTURAL ASPECT-AWARE DESIGN FOR IOT APPLICATIONS: CONCEPTUAL PROPOSAL

International Journal of Computer Science & Information Technology (IJCSIT) Vol 10, No 6, December 2018
DOI: 10.5121/ijcsit.2018.10601 1
ARCHITECTURAL ASPECT-AWARE DESIGN FOR
IOT APPLICATIONS: CONCEPTUAL PROPOSAL
Anas M. R. AlSobeh and Aws A. Magableh
Department of Computer Information System, Yarmouk University, Irbid, Jordan
ABSTRACT
Aspect-Oriented Programming (AOP) provides new constructs and concepts to handle secondary
requirements in applications. Secondary requirements, i.e. crosscutting concerns, of the Internet of things
(IoT) applications is inherited from the nature of the complexity of interactions, and implementation
crosscutting concerns over core IoT architecture. Realizing the full potential of the IoT application requires
a new abstraction design technique. This paper proposes an abstract class element toward a design
approach to providing better means better separation of concerns. The proposed approach is accompanied
by gathering relevant contextual properties pertaining to the environment of IoT interactions. A new
architectural aspect-aware definition is proposed for tracking the logic of interaction characteristics on the
IoT components being designed.
KEYWORDS
Aspect-Oriented Programming, Aspect Orientation, Modularization, Behavior-Interaction-Priority Model,
BIP Components, Internet of things, IoT, crosscutting concerns, Aspects
1. INTRODUCTION
Internet of Things (IoT) is a modern technology evolved throughout the years. IoT has turned into
the most crucial and prevalent system that empowers everybody to make, create, offer, utilize the
data to produce information. IoT is the network of physical things, cars, water systems, home
appliances and other items embedded with electronics, software, sensors with different types, and
networks which enables these objects to connect and exchange data [3]. IoT targets at connecting
of smart devices facilitating interactions among things and people. With IoT real word and digital
words are interacting through various kinds of technologies such as internet protocols, sensors
types and communication [4]. Having all these issues in mind, there will be so many crosscutting
concerns that spread across different components of IoT architecture [15]. Managing and dealing
with these crosscutting concerns in IoT environments is not an easy task, due to lack of
management tools that ensure the performance, robustness, dependability, and security of IoT
systems [2].
To address such issues, we need to introduce a dynamic management approach which provide
better separation of concerns. Aspect Orientation (AO) is a suitable technique that introduce a
modularization concept to encapsulate common crosscutting concerns into lossy coupled
abstraction [12]. However, Aspect-Oriented Programming (AOP) is limited to a set of specific
programming constructs such as constructors, methods, and proprieties. Consequently, less
attention has been paid on developing AO to be used for model based design flow. Behavior-
Interaction-Priority (BIP) model has been designed to provide a formal description language for
essential real-time interactions (e.g. IoT systems) between system’s components based on a set of
priority rules for the transition of the behavior [7].

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In this paper, we present and discuss the modelling of a combination model-based design of both
BIP and AOP (named BIP-AOP) to overcome the challenges of modularizing IoT-related
crosscutting concerns. The proposed model presents BIP-AOP as an IoT-aware interaction design
through introducing a set of intercepted invoke/execution points. These points represent IoT-
related context information, which are encapsulated into a high-level abstract aspect. Our abstract
aspect can be extended to create an efficient runtime crosscutting module. Such a module is
implemented into runtime advices that might be woven into an IoT-based system dynamically.
BIP-AOP consists of three-layer architecture: IoT layer, AOP layer and Application layer. IoT
layer represents systems interactions between components; AOP layer represents a mediator on
the IoT infrastructure to glue the IoT-related components with needed application concerns; and
Application layer allows developer to customize the IoT behaviors without prior implementation
knowledge. All those layers are mapped into BIP components to address the design of an event-
based interaction components as a solution for pulling all relevant context information from IoT
components.
The paper is organized as follows: section 2 provides an overview of the AOP and BIP
components and a set of important related works, section 3 illustrates the motivated case study
that inspired us to propose our model. Section 4 discusses our proposed model, finally conclusion
and future work have been presented in section 5.
2. BACKGROUND AND LITERATURE REVIEW
Crosscutting concerns in network systems using IoT face challenges stemmed in nature of the
interactions between nodes and resources. This makes the dynamic control and management at
run-time is a fundamentally complex problem. Managing interpretability and complexity are one
of the key essential ways of controlling the run-time interactions between connected nodes at
different IoT layers architecture [1]. This section explains a little bit of background and essential
major related studies and works that focused on managing IoT application complexity and
portability either using AO or non-AO methods.
2.1. Nutshell background
The interactions amongst the different abstraction layers of the IoT-based application architecture
impact the overall system's complexity and portability. IoT-based applications are overlapping
networks of heterogeneous objects. Thus, the Representational State Transfer (REST) design is an
architectural style that enables application-layer interoperability and reuse. Additionally, AOP is
used to decompose systems, but the nodes may be tautly coupled in a design IoT-centric
component, which is more often complex. Here, we use the most IoT systems support for the
design REST-based applications. Understanding the below concepts are vital to understanding the
novelty of the idea.
2.1.1. Aspect-Oriented Programming (AOP)
Generally, the relationships among user requirements and program components intersect or
crosscut in distributed and extended systems. In other words, a requirement may have to be
implemented through several components; while on the other hand, a single component could
cover more than one requirement or different parts of more than one requirement. Thus, a
component may provide core functionality and at the same time include code for several other
system requirements. An approach that tries to overcome this programming difficulty is called
aspect-oriented software development (AOSD). These aspects encapsulate the functionalities that
crosscut other functionalities in different parts of a system (Ex IoT systems). In AOSD, an
executable AO program is created by automatically combining or ‘weaving’ together objects,
methods and aspects to create a program that is not only easier to maintain, but also to reuse [5].

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Aspect-oriented programming (AOP) is one of the most promising methods that developers can
use to produce encapsulated objects that do not have any unnecessary additional functionality.
This type of programming enables the developer to divide crosscutting concerns (i.e., an activity
is also known as the separation of concerns (SoCs) into single logic, i.e., aspects. These aspects
are the modular units of crosscutting concerns. In addition, as mentioned above, new behaviour
can be added to a cloud application without the need to alter or interfere with the base source
code. There are three key components in AOP: joinpoints, pointcuts, and advices [8] [9].
2.1.2. Internet of Things (IoT)
Internet of Things has been defined as a paradigm consisting of a variety of uniquely identifiable
day to day things communicating with one another to form a large scale dynamic network. The
exponential growth in semiconductor domain has resulted in an explosion of usage patterns of
cost-effective sensor based processor system. These systems when get empowered with advanced
communication technologies (e.g., Bluetooth Low Energy, LoRA, ZigBee, Insteon, 3G, 4G, 5G
etc.) converges into an emerging form of technological domain-Internet of Things or in short IoT.
IoT aims to offer, a massive scale, heterogeneous, interoperable, and context-aware, and simplified
application development cum deployment capabilities to the enterprises and end-users. The
Internet of Things (IoT) envisions a world in which everyday objects collaborate using the
Internet in order to provide integrated services for users. This vision defines the IoT as a dynamic
global network requiring global self-managing capabilities, based on standard and interoperable
communication protocols.
2.1.3. BIP Component Framework
BIP stands for (Behaviour-Interaction-Priority) [6] is a formal framework for building complex
systems by coordinating the behaviour of a set of atomic components. Behaviour is defined as a
transition system extended with data and functions. The definition of coordination between
components is layered: in the first layer lie the component interactions, while the second layer
involves dynamic priorities between interactions [10].
2.2. Related Literature Review
Our literature review is focusing on investigating and reviewing the existing works those talks
about utilizing AO in IoT systems, AO and BIP model in IoT and other approached were used to
maintain portability of IoT applications. As stated in [4], there is the decent amount of works
have been done to maintain service discover and service quality using different approaches, in [4]
they have proposed AO to extend and enable IoT application to be more portable. They have
stated that IoT derives various challenges from the Internet in the context of scalability,
heterogeneity, undefined topology and data point information, incomplete metadata, and conflicts
in user preferences. They have investigated the ability to develop an AO intermediate layer to
inject the needed context related functionality. Their proposition works as a layered interface
between IoT applications hardware and data gathered at software.
Few more works such as [1] have proposed a model-based design flow for networked systems
with nodes running an Internet of Things (IoT) operating system. The design flow specifically
targets web service applications of REST style and it is based on a formal modelling language,
the BIP component model. Figure 1 explains their approach to managing IoT applications by
using the BIP model. However, in [7] defined a method to modularize crosscutting concerns in
the BIP component-based design. The authors have defied the BIP using AOP in a formal method
and have given a mathematical representation for the AO and BIP concepts. However, this work
has not proposed a solution for possibly modularization the IoT system concepts and related
common crosscutting concerns.

International Journal of Computer Science & Information Technology (IJCSIT) Vol 10, No
Figure 1. Model
Aspect-oriented programming is being used to manage systems (such as component
systems) where IoT is considered as one of them. Some of the decent amount of works have been
proposed at this space [11] [12].
3. CASE STUDY
IoT environments have a significant potential to provide for monitoring of water services to
promote the possibility of tracing water flow. Such environments are typically equipped with
many heterogeneous sensors that monitor both wate
example of it is water level display in the tank. IoT water system is used by water
determine the level or amount of water that flow in an open or closed water system. Sensors
usually detect the specific battery energy levels, if the sensing state is low then the brightness of
dashboard light is reduced. It is integrated into the single device to get an alarm or trigger. These
sensors measure water levels within a specified range and continuously mak
water the level.
Figure 2 illustrates basic IoT water system components that represent the dashboard that consist
of data input and sound components. The energy management component is responsible for
keeping track of power level f
controlling on the level of dashboard brightness (LED) by observing the percentage of power
volume.
Energy management is a common crosscutting concern and often poorly modularized in
traditional design approach. Battery
and sensor network can be preserved: (a
turn off dashboard after 10 seconds of no interaction; (b
volume by 25%, and reducing display brightness to 50% after 5 seconds of no interaction; and (c
high energy state) by reducing sound volume and brightness 0%. Implementation energy
management component as an aspect
integration of it with core IoT water system including that management as crosscutting. From
secondary requirement perspective, focus on the energy management concerns that will manifest
as interaction in the IoT system, can be
International Journal of Computer Science & Information Technology (IJCSIT) Vol 10, No 6, Decem
Figure 1. Model-based design flow for IoT [1]
oriented programming is being used to manage systems (such as component
many heterogeneous sensors that monitor both water and environmental parameters. The best
example of it is water level display in the tank. IoT water system is used by water-level sensors to
cific battery energy levels, if the sensing state is low then the brightness of
sensors measure water levels within a specified range and continuously make a notification of the
keeping track of power level for turning off or sleeping the dashboard and responsible for
design approach. Battery-level applications such as remote controls, dashboard, sound
and sensor network can be preserved: (a-Low energy state) by reducing sound volume by 33%
turn off dashboard after 10 seconds of no interaction; (b-medium energy state) by reducing sound
volume by 25%, and reducing display brightness to 50% after 5 seconds of no interaction; and (c
management component as an aspect-oriented extension that supports decomposition and
as interaction in the IoT system, can be encapsulated in loosely coupled aspect module.
6, December 2018
4
oriented programming is being used to manage systems (such as component-based
r and environmental parameters. The best
level sensors to
cific battery energy levels, if the sensing state is low then the brightness of
e a notification of the
or turning off or sleeping the dashboard and responsible for
level applications such as remote controls, dashboard, sound
Low energy state) by reducing sound volume by 33%
by reducing sound
volume by 25%, and reducing display brightness to 50% after 5 seconds of no interaction; and (c-
supports decomposition and
encapsulated in loosely coupled aspect module.

Figure 2. Basic IoT Components for Smart Water
Traditionally, EnergyManagment
and Sound) while calculation of energy state is tangled across multiple components. Indeed, the
main difficulty is not the code complexity only, but it is mainly associated with interactions
nodes and component state they effect, which might refer to these interactions as “spaghetti bowl”
[13] [14], as shown in Figure 3.
BIP is a model-driven engineering approach can help in reducing the complexity of IoT
designs through its support a clear separation between architecture and interaction to allow for
compositional design and analysis of systems [7]. However, BIP does not address the design of
crosscutting concerns that do not manifest as code in th
techniques for capturing such requirements. In general, the code of such management interaction
cuts across the system components, so their modularization significantly reduces their
complexity, where the state of practice is to use BIP constraints for some behavior characteristics,
BIP-AOP is an extension on top of such techniques to demonstrate its use to modularization and
reuse. See next sections for more details.
4. PROPOSED BIP-IOT SYSTEM
During a comprehensive analysis of an IoT application, it emerged that concerns related to IoT
architecture and behaviour were most significant. Inspiring BIP with the AOP technique was
conceived to design and support the modularization during the developm
EnergyManagment
Inter
Figure 2. Basic IoT Components for Smart Water
EnergyManagment implementation is scattered across multiple classes (Dashboard
main difficulty is not the code complexity only, but it is mainly associated with interactions
Figure 3.IoT Interaction Model
driven engineering approach can help in reducing the complexity of IoT
crosscutting concerns that do not manifest as code in the system but is complementary to existing
practice is to use BIP constraints for some behavior characteristics,
AOP is an extension on top of such techniques to demonstrate its use to modularization and
reuse. See next sections for more details.
YSTEM DESIGN USING AOP
conceived to design and support the modularization during the development of IoT applications
EnergyManagment Battery
Dashboard
Inter #4
Inter #3
Inter #5
Inter #6
Water-
Level
Sensor
Inter #1
Inter #2
6, December 2018
5
implementation is scattered across multiple classes (Dashboard
main difficulty is not the code complexity only, but it is mainly associated with interactions IoT
driven engineering approach can help in reducing the complexity of IoT systems
e system but is complementary to existing
practice is to use BIP constraints for some behavior characteristics,
AOP is an extension on top of such techniques to demonstrate its use to modularization and
ent of IoT applications

[7]. Our design has a formal semantics and makes a clear separation between IoT components to
allow for decomposition IoT design into maintainable and reuse modules. Figure 4 shows
context-aware aspects that is utilized to capture t
components. It presents components, interactions, priorities, and their composition. An atomic
context aspect is the basic low-level computation modules, which encapsulate IoT
information. It is implemented as an aspect and their behaviours defined as a glue
extended with high-level abstractions. Transitions are represented as arrows associated with
context-related IoT components to transfer data and messages between components.
Figure 4 demonstrates artifacts of the proposed aspect layer
generate the BIP-AOP components to be reused in the IoT application. The IoT components are
instantiated from the IoT design definition including the IoT’s appli
system components. Atomic-context components obtained by pulling a set of interactions among
low-level components occur when execution of one component modifies the behaviour of another
one. Such interactions may cause by modificati
accessible by high-level glue-aspect components, including the state of the core IoT application,
communications, protocols, and network.
Figure 4. Standard IoT Design
4.1. The BIP model of the IoT Application
The overall our approach involves converting the application design definition for the IoT
application and its protocol, e.g., REST, into BIP components as shown in Figure 5. Description
of structure allows constructs application
BIP components implemented by the BIP
framework through determining the components’ context parameterization and their
characteristics. These are encaps
an observer for tracing the state space of secondary requirements, i.e., crosscutting concerns, with
the BIP components as mentioned. Validation of properties derived from functional and non
aware aspects that is utilized to capture the behaviour and interaction concerns of IoT
components. It presents components, interactions, priorities, and their composition. An atomic
level computation modules, which encapsulate IoT-related context
implemented as an aspect and their behaviours defined as a glue-
level abstractions. Transitions are represented as arrows associated with
related IoT components to transfer data and messages between components.
gure 4 demonstrates artifacts of the proposed aspect layer- model design, they are possible to
AOP components to be reused in the IoT application. The IoT components are
instantiated from the IoT design definition including the IoT’s application mapping onto AOP
context components obtained by pulling a set of interactions among
level components occur when execution of one component modifies the behaviour of another
one. Such interactions may cause by modification or extension aspects to any state that is
aspect components, including the state of the core IoT application,
communications, protocols, and network.
Figure 4. Standard IoT Design-based Model with AOP
l of the IoT Application
of structure allows constructs application analysis findings back to the IoT design definition. The
BIP components implemented by the BIP-AOP architecture are instantiated from the IoT
characteristics. These are encapsulated in the atomic-context component which is formalized as
the BIP components as mentioned. Validation of properties derived from functional and non
6, December 2018
6
he behaviour and interaction concerns of IoT
components. It presents components, interactions, priorities, and their composition. An atomic-
related context
-aspect that is
level abstractions. Transitions are represented as arrows associated with
model design, they are possible to
AOP components to be reused in the IoT application. The IoT components are
cation mapping onto AOP
context components obtained by pulling a set of interactions among
level components occur when execution of one component modifies the behaviour of another
on or extension aspects to any state that is
aspect components, including the state of the core IoT application,
analysis findings back to the IoT design definition. The
AOP architecture are instantiated from the IoT
context component which is formalized as
the BIP components as mentioned. Validation of properties derived from functional and non-

7
functional IoT requirements takes place with by state-space exploration with BIP components
according to the specified mapping onto system’s component.
Figure 5. Architectural BIP-AOP for IoT Activities
The runtime properties IoT requirements take place by invoking the generated code on the
components and within IoT environment. All IoT constraints are pulled and weaved to/into the
core code modules. In AOP, for instance, abstract aspect used to impose constraints on the
matching of pointcuts and application of advice. Glue-Aspect components can be framed as the
abstractions directly representing the architecture of IoT event-based interactions as detailed
below.
4.2. Initial Context-Aware Aspects
Context primitives allow the IoT application developer to identify scattered and tangled over
multiple codes using existing standards, technologies, and protocols for encapsulating IoT
crosscutting concerns and leverage wherever possible [16]. BIP encourages the development of a
smaller set of defacto standards for IoT concerns (e.g., implement policy and practice to ensure
the monitoring concerns of IoT interactions of distributed components), an interaction is a
software implementation based on behaviour function(s) that transforms groups of data into
context data, and priority is a selection process, we select more sequence of execution flow of
advices out of many other advices.
In context-aware IoT applications, Definitions 1&2 identify the semantic properties for support of
the different type of information that allows applications to adapt their behaviour in response to
interaction in the IoT environment using AOP. These properties are encapsulated in the aspect-
oriented abstract layer.
Definition 1 ( ): An advice encapsulates a set of context data is defined by a
pointcut and a set of joinpoint ℎ ℎ ℎ ∀ ∈ : ⊆ .
Definition 2 ( ): An abstract aspectis a tuple , where is a
transition state consists of relevant context proprieties, which is possibly receiving the new
valuation of the holds the application of computation with the set possible properties in
!.

8
Develop scalable approaches for separation of resource-constrained IoT nodes. We adapt some
fundamental IoT-related context concepts into BIP components. IoT nodes interactions require
that applications deal with the inherent unreliability of communications and processes. We have
identified six primary context concerns that require support by developers. They are distributed,
node discovery, limited connectivity, location, proximity, and quality of service. This context
information can be exploited to address the semantic heterogeneities of data exchanged by nodes
interactions, e.g., Atomic-context data of sensors, s1 → d1 means that sensor 1 has produced a
piece of data that is numbered 1. Likewise, s2 → d2 means that sensor 2 has produced a piece of
data that is numbered 2. Sensors will likely be heterogeneous, from different manufacturers, and
collect data, with varying levels of data integrity. Usually, sensors are geographically located.
Sensors may have an owner(s) who will have a control over the collected data, who can access it,
and when. Implementing such input leads to scattered across multiple modules which cause
spaghetti bowl as discussed in section 3.
Interaction Ωserves as the glue-aspect component that encapsulates crosscutting concerns through
their atomic-context components. An interaction involves one or more abstract aspects of
different atomic-context properties and extends advice that realizes data management between the
IoT application components.
Definition 3 (Interaction): An interaction Ωis enabled iff its holds and all its pointcuts are
invoked. An invoked interaction is called from the complete list of possible interactions that
based on the states of the atomic-context components.
The BIP approach defines the invoked interactions and executes its , which defined in the
application context with an atomic-context aspect that is extended by implementing the logic that
interferes with the execution of an IoT-based component used a special kind of inner class. Hook
atomic-context components invoke their corresponding pointcuts given the new value received by
the designated joinpoints. In the following, we consider an atomic-context component with
behavior is filtered the invoked higher-level abstractions dynamically and decrease non-
determinism.
Definition 4 (Priority): Priority" is a set of advices to be applied once a pointcut has been
matched to be found simply by specifying the precedence ordering to the abstract aspects, which
contain the in the glue-aspect components.
Apart from these changes, the weaving semantics for regular aspects does not have to be modified
for IoT-based aspects. Priority " over is used to define the event that should be performed
preceding or succeeding a function execution. BIP-AOP model components are elaborated on
AOP processes. It extends by defining glue-aspects for capturing multiple concerns and
specifying a precedence order on the set of interactions Ω, which is defined the set of transitions
satisfying Definition 4.

9
Figure 6. BIP-AOP Architectural IoT Pattern Design
4.3. BIP-AOP Model-Based Architecture
Figure 6 illustrates the architectural BIP-AOP design model in IoT domain. It traces state of every
distributed IoT components based on using observing state approach. In case, the state of
interaction changes, IoT components will be notified at different levels in the system. We define
many BIP components to provide the understanding of using different IoT concepts (thing,
protocol, node, communication, etc.) in an IoT context as discussedearlier. AtomicContextAaspect
is an aspect component acts as an observer into a spectrum of the lower-level model to be a
controller of the IoT components interactions. In other words, it represents the aspect that
implements the advice function whose task is to handle all the crosscutting concern logic (e.g.,
monitoring, security, management, etc.). It relies on AOP inter-type declarations to introduce
context properties and methods to IoT components and APIs. We extend this aspect with the
proposed high-level customization aspect called GlueAspect, to weave custom logic or amend the
normal workflow of interaction in the system. The idea behind defining such aspect is to decouple
the implementation by offering pointcuts, advices, inter-type declarations were defined in
AtomicContextAspect to exclude components dependency. GlueAspect involves a set of joinpoints
such as initialization, call and execution for the InitializationJP, MessageJP, CommunicationJP,
EndJP, ControlJP, ThingJP and so on. GlueAspect offers pointcuts to pick up those joinpoints
and then use advice to inject the logic of the crosscutting concerns. Once running the IoT
application, the state of the one thing object has been changed by the BIP event handler (such as
call, initiation, exit, etc.) all other components objects depending on it will be notified and take
appropriate action as shown in Figure 6. The RegistryAspect then takes responsibility to register
and monitor all IoT components interactions states.
5. CONCLUSIONS
This paper has proposed an integrated model of using AOP and BIP to provide a better
modularization of cross-cutting concerns in of IoT applications. The proposed model
demonstrates crosscutting issues in IoT application and highlights how AOP addresses them.
Specifically, the purpose of this paper is to provide a roadmap for using BIP model components
with AOP to deal effectively with crosscuts in IoT application design, systems interaction, and
integration. In the future, we will work on conducting a primary experiment to showcasing the
efficiency and effectiveness of using our model in encapsulating, modularizing and separating
crosscutting concerns obliviously.
call
init
End
[ev==Exit]
yield
call
Exit
weaves
weaves
weaves

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Authors
Dr.AnasAlSobeh, Dr.AlSobeh received his B.Sc. and M.Sc. degrees in computer
information systems from Yarmouk Univers
also received PhD degree in computer science from Utah State University/USA with
honour in Dec. 2015. He joined Yarmouk University academic staff in 2016. He is
currently an assistant professor of computer information
interests include web technology, e
distributed systems, cloud systems, Internet of things (IoT) and data modelling. He
has many scientific publications. He also has European
active member of credit mobility projects to exchange academic members.
Aws A. Magableh is an Assistant Professor at the Faculty of Information Technology
and Computer Science in Yarmouk University, Jordan. He obtained his PhD from th
National University of Malaysia (UKM) in 2015, he obtained his master in Software
Engineering from University Malaysia (UM) in 2008, and Bachelor’s in Software
Engineering from the Hashemite University in 2006. His research interests include
Web technology, Web Services, Cloud Computing, Aspect
Engineering, System design and modelling. Aws is very passionate about Learning &
Development (L&D) and I have been immersed in the training industries with Nokia,
Microsoft and Huawei for the past 10 years focusing on building skillsets
Dr.AlSobeh received his B.Sc. and M.Sc. degrees in computer
information systems from Yarmouk University in 2007 and 2010, respectively. He
also received PhD degree in computer science from Utah State University/USA with
honour in Dec. 2015. He joined Yarmouk University academic staff in 2016. He is
currently an assistant professor of computer information systems (CIS). His research
interests include web technology, e-learning systems, software engineering,
distributed systems, cloud systems, Internet of things (IoT) and data modelling. He
has many scientific publications. He also has European-funded projects. He is also an
active member of credit mobility projects to exchange academic members.
Aws A. Magableh is an Assistant Professor at the Faculty of Information Technology
and Computer Science in Yarmouk University, Jordan. He obtained his PhD from the
National University of Malaysia (UKM) in 2015, he obtained his master in Software
Engineering from University Malaysia (UM) in 2008, and Bachelor’s in Software
Engineering from the Hashemite University in 2006. His research interests include
gy, Web Services, Cloud Computing, Aspect-Orientation, Software
Engineering, System design and modelling. Aws is very passionate about Learning &
Development (L&D) and I have been immersed in the training industries with Nokia,
past 10 years focusing on building skillsets
6, December 2018
11

ARCHITECTURAL ASPECT-AWARE DESIGN FOR IOT APPLICATIONS: CONCEPTUAL PROPOSAL

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ARCHITECTURAL ASPECT-AWARE DESIGN FOR IOT APPLICATIONS: CONCEPTUAL PROPOSAL