Integration of distributed enterprise applications a survey

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 10, NO. 1, FEBRUARY 2014 35
Integration of Distributed Enterprise Applications:
A Survey
Wu He and Li Da Xu, Senior Member, IEEE
Abstract—Many industrial enterprises acquire disparate sys-
tems and applications over the years. The need to integrate these
different systems and applications is often prominent for satisfying
business requirements and needs. In an effort to help researchers
in industrial informatics understand the state-of-the-art of the
enterprise application integration, we examined the architectures
and technologies for integrating distributed enterprise applica-
tions, illustrated their strengths and weaknesses, and identified
research trends and opportunities in this increasingly important
area.
Index Terms—Distributed enterprise applications, enterprise
application integration, enterprise service bus, industrial infor-
matics, industrial information integration engineering, Internet
of things (IoT), middleware, enterprise systems, radio frequency
identification (RFID).
I. INTRODUCTION
ADISTRIBUTED enterprise application is usually defined
as an enterprise application with multiple software mod-
ules or components running on two or more computers in an
enterprise network [1]. Oftentimes the enterprise network is het-
erogeneous and is composed of diverse computers, devices, and
operating systems. In industrial enterprise environments, many
industry systems typically consist of numerous technologies,
protocols, applications, and devices which are distributed across
a network [2], [3]. As the industry environments become in-
creasingly distributed and heterogeneous across multiple orga-
nizational and geographical boundaries in recent years, there are
strong demands to integrate various distributed applications in
order to enhance or increase enterprises’ competitiveness. Par-
ticularly, integrating distributed industrial applications has at-
tracted much attention in the industrial information system area.
For example, according to IEC61499 specification [4], a dis-
tributed enterprise control system often consists of multiple ap-
plications that may be distributed among multiple networked
devices. Oftentimes control processing application resides in
a device, but output conversion application resides in another
Manuscript received December 23, 2011; accepted February 21, 2012. Date
of publication March 06, 2012; date of current version December 12, 2014. This
work was supported in part by the National Natural Science Foundation of China
(NSFC) under Grant 71132008, the Changjiang Scholar Program of the Ministry
of Education of China, and the U.S. National Science Foundation under Grant
1044845. Paper no. TII-11-1052.
W. He is with Old Dominion University, Norfolk, VA 23529 USA (e-mail:
whe@odu.edu).
L. D. Xu is with the Institute of Computing Technology, Chinese Academy
of Sciences, Beijing 100190, China, and also with Old Dominion University,
Norfolk, VA 23529 USA (e-mail: lxu@odu.edu).
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TII.2012.2189221
device. Sometimes a function of an application may be dis-
tributed to several devices and requires the cooperation of dif-
ferent parts to work properly. Additionally, the applications and
devices may be developed or provided by different vendors [3]
with different programming languages, formats, and protocols.
Significant integration efforts are required to enhance and in-
crease the interoperability of these applications and devices.
So far, many enterprises have invested heavily to inte-
grate distributed enterprise applications due to the continuous
mergers and acquisitions, joint venture, outsourcing, corporate
restructuring, infrastructure upgrades, adoption of mobile
devices, embedded devices, and wireless sensors. Integrating
various applications owned by the enterprise can enhance or
increase the enterprise’s competitive advantages [5].
Distributed enterprise applications typically require their
distributed components to interact with one another through
certain remote communication mechanisms such as mes-
sage-passing, and remote-invocations [6] in networking
environments. However, distributed enterprise applications
often have issues in communicating with one another due to
issues with different formats and protocols. As distributed
applications in an enterprise continue to grow, integrating
distributed enterprise applications has become a challenging
task. For example, many industry enterprises have trouble in
integrating industry applications effectively. Such applications
include computer-aided design system, engineering document
management system, manufacturing execution system, and
product data management system running on different hosts.
For many industry enterprises, it is imperative for these industry
systems to cooperate for achieving certain business objectives.
To address integration problems, an IT solution named Enter-
prise Application Integration (EAI) has been developed to help
achieve quality integration [5].
EAI encompasses technologies that enable distributed and
heterogeneous applications to interact to one another across the
network and help integrate many individual applications into a
whole [5]. It consists of methods and tools to coordinate various
applications and to support the integration of both intra-organi-
zational and inter-organizational systems. EAI solutions support
the integration of business processes and data across various en-
terprise applications [7]. With EAI, intra- or inter-enterprise ap-
plication systems can be integrated effectively, and can ensure
that different divisions, units or even different enterprises can
cooperate with each other [8].
EAI is a key research area in Industrial Information Integra-
tion Engineering (IIIE). Broadly speaking, IIIE involves con-
cepts and techniques that can be used to streamline or facilitate
the process of integrating various industrial information sources
[8]–[16]. In 1996, the International Electronics Manufacturing
1551-3203 © 2013 IEEE

36 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 10, NO. 1, FEBRUARY 2014
Initiative (iNEMI) revealed that many industry systems did not
cooperate with each other [17]. Afterwards, substantial efforts
were made to integrate disparate applications and systems in
industry sectors. Nowadays many industries such as telecom-
munication, manufacturing, logistics, and energy have imple-
mented and integrated distributed enterprise applications such
as distributed control systems in factory automation, e-manufac-
turing systems, and distributed electronics production systems
[3], [18]–[20]. For example, a factory management system may
include an order processing application, a production sched-
uling application and a production control application which re-
side in three separate servers [21]. The three distributed appli-
cations then cooperate with each other to achieve their planned
business purpose. The literature also shows that distributed en-
terprise applications sometimes perform better or required less
resources than a large centralized software system [19] for some
industrial applications such as manufacturing control software
and manufacturing execution systems due to the increased de-
mand for agility, ﬂexibility and scalability, dispersed users in
various locations, and unanticipated system change [1], [19].
In an effort to help readers understand the current status and
future trends of integrating enterprise application in industries,
we reviewed the past, present and future development related to
the enterprise architectures and enabling technologies for inte-
grating distributed enterprise applications. The main topics of
interest to industrial informatics readers include distributed en-
terprise architectures, middleware technologies for integrating
distributed enterprise applications in industries, and research
trends and challenges involved in the integration of distributed
enterprise applications. We hope this paper can help readers be-
come more aware of the challenges and opportunities that exist
in this increasingly important area and bring their expertise to
help address research challenges for integrating various enter-
prise applications in industries.
The rest of this paper is organized as follows. Section II
provides an introduction to the historical development of
distributed enterprise application architectures. Section III
provides a brief overview about the major distributed appli-
cation integration technologies developed in the past decades.
Recent research work and progress on enterprise application
integration technologies are presented in Section IV. Future
trends and research challenges are presented and discussed in
Section V. Conclusions are given in Section VI.
II. HISTORICAL DEVELOPMENT: DISTRIBUTED ENTERPRISE
APPLICATION ARCHITECTURES
Distributed enterprise application architectures have under-
gone an extensive evolution. Early generation enterprise ap-
plications were built on centralized mainframes [22], [23]. As
the capacity of personal computers increased, many applica-
tions and tasks were moved to the user’s computers to better
satisfy the business or processing needs. As a result, ﬁrst-gen-
eration distributed enterprise applications were mainly devel-
oped using a simple two-tier client/server networked infrastruc-
ture [23], [24]. As the amounts of data continue to increase, a
three-tier architecture became popular in enterprise application
development in the mid-late 1990s [22]. On a three-tier architec-
ture, software components are divided into three layers: a user
interface layer, an application processing layer (middle tier),
and a database management and processing layer [22]. Middle-
ware such as CORBA are often deployed to the middle tier to
integrate distributed enterprise applications including indepen-
dently developed applications [22], [23]. In addition, transaction
processing (TP) monitors often run on the middle tier for scala-
bility, workload, and resource balancing needs [22].
As Web applications become widespread, the three-tier archi-
tecture was extended by adding web clients (mainly browsers)
and web servers (e.g., Apache) [14]. Furthermore, the three-tier
architecture continues to evolve and subsequently the multi-
tier architecture appears. For example, additional tiers are often
introduced between client and other layers such as data layer
for security, workload and resource balancing, and performance
monitoring [22], [23].
III. INTEGRATION OF DISTRIBUTED ENTERPRISE APPLICATIONS:
THE PAST
This paper mainly concerns application integration on het-
erogeneous platforms. The research community came up with
the EAI solution to help achieve quality application integration.
EAI provides ways to integrate heterogeneous applications on
different systems and platforms [8].
Integration can be studied through different dimensions in-
cluding integration scope, integration point of view (views from
users, designers and developers), integration layer and integra-
tion level [22]. Furthermore, intra-enterprise integration can be
divided into horizontal and vertical integration [21], [22]. Inter-
enterprise integration includes business to business and busi-
ness to customer integration [22]. Integration levels can be at
hardware, platform, syntactical, and semantic levels [22]. From
the technology perspective, many researchers found it useful to
examine the system integration by focusing on different layers
[25]. Below is a brief introduction to integration on different
layers.
A. Communication Layer Integration
Integrating distributed applications requires those separate
applications to be able to communicate with each other and
to exchange data and information. For example, an application
may need to know the current status and operations of a remote
application in order to perform certain tasks such as scheduling.
Typically, protocols such as HTTP and IIOP are used to facili-
tate information exchange among different applications [25].
B. Data Integration
Research on data integration mainly deals with moving or
federating data between different types of data sources [22],
[26]. Data integration involves a lot of data mapping and con-
version among different elements including data source schema,
targeted data schema, and the mapping relationship between
data source schema and targeted data schema [25], [27]. The
drawback of data integration is that developers will have to un-
derstand and maintain the underlying schemas regularly to ad-
dress any changes [27].
C. Business Logic Integration
Integration at this layer includes integration in the sublayers
such as basic coordination, functional interfaces, business

HE AND XU: INTEGRATION OF DISTRIBUTED ENTERPRISE APPLICATIONS: A SURVEY 37
Fig. 1. The use of middleware in distributed applications.
protocol and policies, and nonfunctional properties [25]. A
traditional way for the application integration involves complex
system and network programming [25], [27]. Thus, maintaining
the traditional integrated enterprise system was quite difficult to
developers. To make the application integration at the business
logic level easier, the research community mainly focuses on
the development of middleware technologies. A number of
middleware technologies have been developed to build and
integrate distributed enterprise applications [28] in the past
two decades. Middleware is designed to help developers and
make distributed systems design less challenging [28], [29].
By adopting the middleware, we can easily separate applica-
tions from the underlying operating systems, hardware, and
network environments [2]. Due to the advantages brought by
middleware, the literature has witnessed an extensive use of
middleware technologies in industrial environments [3], [6],
[21]. As an important integration technology, middleware tech-
nologies are often used by industrial enterprises to integrate new
applications, emerging technologies and legacy applications
[8]. Typically, a middleware for communication comprises
two types of remote communications: message-passing, and/or
remote-invocation [6]. Additionally, middleware can provide
functions to ensure reliability, scalability, and performance
to enterprise systems [28], [29]. Fig. 1 illustrates the use of
middleware in distributed applications.
There are many types of middleware such as RPC-based
middleware, message-oriented middleware, event-based mid-
dleware, database middleware, transaction processing (TP)
monitors, security middleware, agent-based middleware, and
service oriented middleware [22], [30], [31]. In addition, some
large companies such as SAP implement their own custom
middleware as part of their application solution. Each of these
technologies and approaches has their own advantages and
disadvantages. As custom middleware has limited system
portability, interoperability, and configurability [2], our review
mainly focus on general purpose middleware technologies.
Our review shows that the most commonly used general
purpose middleware technologies at the business logic layer
for integrating distributed enterprise applications include the
RPC-based (remote invocation) middleware and message-ori-
ented middleware [6], [29]. Below is a brief introduction to
some of the major middleware technologies.
1) Distributed Computing Environment (DCE): DCE was
designed and developed to support distributed applications in
heterogeneous environments in early 1990’s [32], [33]. DCE
technology includes multiple components such as RPC, Direc-
tory Services, Time Service, and many other Services [32], [33].
DCE is supported by many different platforms and legacy oper-
ating systems. A main advantage of DCE is that the DCE RPC
facility enables software components on different platforms to
interact [22]. Compared to traditional networking programming
methods, RPC is relatively simpler to code [32]. However, DCE
does not have strong support mechanisms for object-oriented
languages because RPC is designed to be procedural since the
beginning [33]. As a result, DCE has lost its popularity in recent
years [33].
2) Distributed Component Object Model (DCOM): DCOM
is a technology developed by Microsoft to improve communi-
cation among software modules or components on the network
[32]. Using DCOM, two objects on two separate computers are
able to call each other’s methods. DCOM supports object-ori-
ented languages like C++ and Java. DCOM is well supported
by Windows platforms [33]. However, DCOM only supports a
few non-Windows operating systems, which limits the use of
DCOM for heterogeneous networks [33].
3) Common Object Request Broker Architecture (CORBA):
CORBA was invented in the early 1990s. Different from
DCOM, CORBA is platform and language independent.
CORBA supports a variety of systems and programming lan-
guages and has ability to integrate legacy software applications
[33]. Object Request Broker (ORB), a core component of
CORBA, is responsible for passing client side requests to
applications on remote servers [22], [33]. CORBA provides
specifications to help developers develop distributed applica-
tions across diverse platforms and environments [22]. CORBA
had applications in many domains including telecommunica-
tions, finance, medicine, and manufacturing [35]. However,
CORBA was complicated and difficult to use properly. As a
result, the interest in CORBA has declined sharply [33] and
CORBA is no longer popular in the middleware marketplace.
But some strengths of CORBA have been incorporated into
technologies such as J2EE and Web services [33].
4) Java Remote Method Invocation (RMI): Java RMI was
released by Sun around 1997 and Java RMI supports the de-
velopment of distributed applications using Java language [36].
Java RMI offers developers a way to implement distributed Java
applications. For example, a Java application on a computer
can invoke the methods of other remote Java objects on dif-
ferent computers [22], [36]. As Java is platform-independent,
Java RMI-based applications can be executed on many different
computing platforms [36]. However, RMI heavily relies on Java
language and does not work easily with other types of program-
ming languages such as C++ [36].
5) Message Oriented Middleware (MOM): MOM relies on
messages to enable communication between separate systems
[6]. Using the message passing and queueing mechanism, MOM
is able to carry information and action requests between dis-
tributed applications [6], [25]. MOM provides strong support

for asynchronous communications [6]. Main disadvantages of
MOM include limited support mechanisms for scalability, lack
of industrial standards, and poor portability [26]. MOM has
been used successfully in some industrial systems such as in-
tegrated manufacturing systems [20], [25].
D. Presentation Layer Integration
The integration in the presentation layer mainly focuses on
the user interface (UI) integration [27]. Presenting integrated
and consistent view for users is the main goal of UI integra-
tion [37]. So far, the research community has not done enough
work at the presentation level [27]. A recent example of user
interface integration is Web mashup such as integrating Google
Map with other applications [37]. Portlet is another UI integra-
tion technology and has the technical potential to help produce
more customizable and flexible portal applications [37]. Further
work on effective standardization and instructional design at the
presentation level is needed for effective user interface integra-
tion to take place [27].
IV. RECENT RESEARCH ON THE TECHNOLOGY INTEGRATION
OF DISTRIBUTED ENTERPRISE APPLICATIONS
In this section, we give a brief introduction to recent research
work on the integration of distributed enterprise applications
technologies. Both perspectives from developers and users are
examined respectively. From the developers’ perspective, en-
abling technologies for system developments including J2EE,
.Net framework, and other web-based technologies are dis-
cussed; from the users’ perspective, integration-related studies
based on grid computing and cloud computing are introduced.
A. Enabling Technologies for System Development
1) Java 2 Enterprise Edition (J2EE): J2EE has emerged as
a leading platform for developing enterprise applications [38].
J2EE contains a number of technologies such as “Enterprise
Java Beans, RMI, Java Server Pages (JSP), and XML” [38].
Particularly, the Enterprise JavaBeans (EJB) provides a sim-
plified method to develop component-based distributed appli-
cations over heterogeneous environments [22], [25]. J2EE has
been used extensively in industrial systems. For example, J2EE
was used as a system framework to integrate supply chain al-
liance enterprises’ information systems [39].
2) Microsoft’s .Net Framework: The .Net Framework pro-
vides support for objects developed by different Microsoft pro-
gramming technologies to communicate with each other [34]. It
allows programmers to create programs in different languages
and allows their execution on different runtime systems and en-
vironments [34]. The .NET framework also provides a way for
an object on one computer to call objects on a different com-
puter using remoting infrastructure [40]. As .Net runs only on
Windows systems, .Net technology has been rarely used in het-
erogeneous environments [34], [40].
3) Web Services, Service-Oriented Architecture (SOA) and
Enterprise Service Bus (ESB): As traditional middleware such
as CORBA and DCOM are typically used for Intranet appli-
cations and often has trouble to cross firewall boundaries [22],
[42], web services have been created to support the integration
of Internet applications in recent years [42]. A Web service usu-
ally contains various functions that can be organized as a single
entity and can be published to the Web as a new service [41],
[42]. Web services use the HTTP protocol transport informa-
tion and thus can easily pass requests through firewalls [22],
[41], [42].
Web services are building blocks for constructing Web-based
distributed applications and they are being considered by many
researchers as a suitable middleware for Internet-related appli-
cation integration [41], [42]. Both J2EE and .Net can be used as
programming tools by developers to create web services. Web
services play an important role for integrating different middle-
ware systems [41], [42]. As different middleware has different
advantages, many enterprises have used various middleware
over the years. However, middleware technologies and products
from different vendors often have trouble to easily interoperate
[43]. As a result, enterprises have to find other ways to integrate
these different middleware systems. In some cases, ad-hoc tech-
niques such as adapters were used or developed to support the
integration needed by enterprises [2], [43]. But oftentimes, the
integration is hard due to its complexity, lack of technical ex-
pertise and costs [2]. Web Services and its underlying principle
named Service-oriented architecture are considered good solu-
tions for such middleware-to-middleware interaction [2], [43].
SOA is a recent trend in integrating heterogeneous systems
and different middleware systems [43]. SOA provides detailed
guidelines and specifications to explain how services can be
described, discovered and/or used [8], [22]. In SOA, devel-
opers organize and package different software applications as
services. Each service includes an interface which specifies
the operations available and types of messages it can handle
[8], [43]. In industrial systems, SOA has been widely adopted
and applied to transportation systems, manufacturing execution
system, healthcare medical system, electronic power applica-
tion system, electronics production systems, factory ordering
systems, etc., [8], [20], [44]–[46].
Service-oriented integration depends on Enterprise Service
Bus (ESB). ESB is able to work across different middleware
products and standards to implement enterprise-wide SOA [2],
[8]. ESB can shield from different protocols (e.g., CORBA
IIOP, J2EE RMI) [2] to implement the smooth data flow and
exchange among different application systems [47]. Thus,
SOA-based ESB is often viewed as a new middleware tech-
nology by many researchers and practitioners. An example
is that an electronic power application system was integrated
by using ESB in Northern China [47]. Fig. 2 illustrates an
SOA-oriented integration environment using ESB. In sum-
mary, Web services, SOA and ESB provide a promising and
valuable framework for inter-enterprise integration.
B. Users’ Integrated Solutions
The selection of a solution to integrate specific distributed
enterprise applications depends on many factors such as the
variety of resources and the complexity of businesses. Ade-
quate computing solutions should be considered to support the
system-level integration of distributed applications. In this sec-
tion, we briefly discuss two key integration solutions from the
users’ perspective: grid computing and cloud computing.

Fig. 2. An SOA-oriented integration environment using ESB.
1) Grid Computing: Grid computing has been adopted to
solve some complex integration problems. For example, a .Net-
based enterprise grid computing system was developed to con-
struct enterprise desktop grids and applications for users [48].
Key issues related to grid computing are heterogeneity, relia-
bility, reconfiguration, scheduling, and security. For example,
Goel and Sobolewski [49] discussed the security issue of a grid
system and developed a trust model for the system evaluation.
Currently, the tested grid systems or applications are still limited
to the low-level event responses and strong couplings are not ad-
equately involved in the integration of distributed components.
2) Cloud Computing: Cloud computing has been used to
support the integration of distributed applications recently. An
e-HUB was developed as a SaaS platform to support the integra-
tion of distributed enterprise [50]. Enterprise applications can
be plugged into the platform as needed. It is advantageous if
the e-HUB evolves into a new platform where e-services can
be easily deployed and integrated [50]. Delic and Riley [51] ar-
gued the enterprise knowledge architecture has evolved from
enterprise stack to grid computing and will evolve to an enter-
prise knowledge cloud in a few years. Despite recent advances
in grid computing and cloud computing, so far the achievements
in these areas have been fragmented. Few enterprises have suc-
cessfully applied grid computing or cloud computing to support
high-level enterprise operation and application integration.
V. FUTURE PERSPECTIVES
A. Trends
Integrating of various industry applications are an ongoing
task for industry enterprises that are adopting new technologies
and embedded devices. Some new trends in this area include the
following.
1) As web services, SOA and ESA are being increasingly
used to integrate existing and legacy applications, it is be-
coming increasingly important to ensure Quality-of-Ser-
vice (QoS) for effective integration [52]. As different web
service applications often have different QoS requirements
and may cause conflicts between each other for resources
such as bandwidth and processing time, it is necessary
to develop empirically tested QoS integration models to
check the QoS parameters, examine the defined service
levels and quality, identify issues, and implement mech-
anism for dynamically selecting QoS-aware web services
[53]–[55]. We expect to see models like trusted service co-
operation and integration model [49]–[51] to be deployed
in industrial enterprises.
2) The amount of data in industrial applications increases ex-
ponentially. There is an increasing need to integrate Online
Analytical Processing (OLAP), knowledge discovery, data
mining functions and data sources for decision support, in-
formation integration, and other business needs [56]–[58].
Application-specific middleware such as data mining mid-
dleware [56] will be increasingly developed and deployed
for industrial information system integration.
3) The semantic web technology and the popular social net-
working technology are still in their infancy in terms of
their use in industrial applications [59], [60]. The integra-
tion of semantic web technology and the social networking
technology with sensor data is expected to grow in indus-
trial applications [61] and to add more values to customers
and partners [59] in industrial settings. Various ontology
approaches for semantic integration and interoperability
[22] will become mature and more applicable in industrial
environments.
4) Mobile applications, embedded systems and smart em-
bedded devices have been increasingly deployed in
industry enterprises [61], [62]. This creates new op-
portunities and challenges to build communication and
interoperability between industrial systems and embedded
systems or devices [62]. Due to its strong support for
both autonomy and interoperability, SOA approaches
have the capabilities to implement communication and
data exchange between embedded systems/devices and
various applications [62]. We expect to see that industry
applications are increasingly integrated with services
running on networked, resource-limited mobile devices
and smart embedded devices using SOA approaches. On
the other hand, techniques such as embedded Web servers
[63], gateway implementation and XML [64], [65] and
TCP/IP-based protocol application programming [63],
[64] will continue to be used to exchange data with a
variety of heterogeneous Networked Control Systems
(NCS) and commercial Programmable Logic Controllers
(PLC) deployed in the industry over the years [63].
B. Some Research Challenges
1) As more and more industrial enterprise are adopting Web
services to integrate various applications and devices, se-
curity challenges become more prominent. For example,
security risk may arise in various stages of the industrial
process such as the diagnosis, troubleshooting, and main-
tenance stages [3] because information exchange and de-
vice access have to go through multiple networks now.
2) Many industrial enterprises have “distributed real-time
control systems (DRCS)” which interact with sensors and
actuators over the network [65]. Generally, DRCS needs
to be more reliable, robust, and efficient than data-centric
applications [65]. Particularly, industrial enterprises such
as power plants have strict performance constraints and
response time requirements on their industrial systems
and applications [65], [66]. For example, many industrial

automation and control systems collect data from hetero-
geneous sensors and require real-time analyses for the
data collected from a variety of heterogeneous sensors
[66]–[69]. As DRCS is playing an increasingly crucial
role in critical industrial operations and transactions, new
integration techniques such as real-time distribution mid-
dleware, distributed real-time Java [6] and real-time SOA
solutions [66], [67] are needed to address performance
concerns, and mitigate integration risks such as data
quality issues, accountability, and security issues [70].
3) In practice, the integration of enterprise applications and
devices may collapse due to various unanticipated changes
[70]. Thus, research on the integration reliability including
data and information reliability is highly valued by all in-
dustrial enterprises [66]. New guidelines and methods such
as task load balance, fault-tolerant and message scheduling
and transaction mechanisms needed to be further devel-
oped to ensure the reliability, robustness, maintainability,
and rapid diagnosing of integrated industrial applications
and devices in various environments.
4) As new technologies and devices are constantly introduced
into industrial systems, user interface integration for indus-
trial systems poses many new problems [27] like various
interface types, standards, definitions, and service inter-
faces (functional, discovery, binding, etc.) [71]. Interface
integration requires a good understanding of various ap-
plications, devices and enterprise-wide integration require-
ments. Currently, there is a lack of conceptual modeling
techniques that can effectively help analysts comprehend
enterprise-wide integration requirements [72].
5) In recent years, new technologies such as wireless sensor
networks (WSNs), Internet of Things (IoT) and Radio Fre-
quency Identification (RFID) have been deployed to indus-
trial systems such as logistics systems, material flow sys-
tems, and supply chain management systems [73]. These
new technologies made the integration of industrial ap-
plications, devices and various interfaces more difficult.
There is a lack of services, guidelines, quality assurance,
and standard architecture for allowing interactions of het-
erogeneous devices, sensors, aggregators, actuators, and
diverse applications while increasing reusability and re-
ducing various privacy and security concerns and issues
[74]. For example, researchers identified a lack of ser-
vices which can effectively connect users to appropriate
sensor networks as the amount of data sources in sensor
network increases [75]. Deployment of built-in user-re-
lated services on physical devices still need further re-
search work to ensure the expected functionality and per-
formance [76]. Various middleware solutions and architec-
tures (e.g., publisher and subscriber architecture, message
bus architecture, ontology architecture) for integrating in-
dustrial applications, RFID, WSN, and IoT have been pro-
posed [22], [62], [66], [75]–[83]. However, these solutions
and architectures are typically designed for respective do-
mains. The scalability and customization of these middle-
ware solutions and architectures are still challenging issues
[84].
VI. CONCLUSION
EAI is concerned with the interaction and communication
of various applications on heterogeneous environments [22].
So far, many techniques have been developed to integrate dis-
tributed enterprise applications. In this paper, we have surveyed
the current status of the integration of distributed enterprise ap-
plications and discussed the research directions. As enterprises
continue to add and/or deploy more applications, integrating
distributed enterprise applications becomes inevitable for enter-
prises that need to achieve competitive advantages. As industry
enterprises are increasingly adopting multitier client/server, In-
ternet and service-oriented architectures for their enterprise ap-
plications and industrial devices [20], [35], [85], we have to ad-
dress the need and requirement for interoperability in the in-
dustrial enterprise environment [21]. Currently, there are still
many research challenges such as user interface integration, re-
liability, performance management and security risk manage-
ment [3], data mining for distributed applications [86], [87],
architecture design and optimization for wireless, RFID, and
real-time sensor network [75], [88], and control architecture for
the sensor, actuator and control service implementation [71].
These challenges will have to be effectively addressed or over-
come in order for industrial systems to become more effective
[8].
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Wu He received the B.S. degree in computer science
from DongHua University, Shanghai, China, in
1998, and the Ph.D. degree in information science
from the University of Missouri, Columbia, MO,
USA, in 2006.
His research interests include enterprise applica-
tions, data mining, and knowledge management.
Li Da Xu (M’86–SM’11) received the M.S. degree
in information science and engineering from the
University of Science and Technology of China,
Hefei, Anhui Province, in 1981, and the Ph.D. degree
in systems science and engineering from Portland
State University, Portland, OR, USA, in 1986.
He serves as the Founding Chair of IFIP TC8
WG8.9 and the Founding Chair of the IEEE SMC
Society Technical Committee on Enterprise Infor-
mation Systems.

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