Web Services as A Solution for Cloud Enterprise Resource Planning Interoperability

International Journal of Computer Science & Information Technology (IJCSIT) Vol 12, No 1, February 2020
DOI: 10.5121/ijcsit.2020.12102 25
WEB SERVICES AS A SOLUTION FOR CLOUD
ENTERPRISE RESOURCE PLANNING
INTEROPERABILITY
Djamal Ziani and Nada Alfaadhel
King Saud University, College of Computer since, Department of Information Systems,
Riyadh, Saudi Arabia
ABSTRACT
Recently, organizations have shown more interest in cloud computing because of the many advantages they
provide (cost savings, storage capacity, scalability, and speed of loading). Enterprise resource planning
(ERP) systems are one of the most important systems that have been upgraded to cloud computing. In this
thesis, we focus on cloud ERP interoperability, which is an important challenge in cloud ERP.
Interoperability is the ability of different components to work in independent clouds with no or minimum
user effort. More than 20% of the risk rate of cloud adoption is caused by interoperability. Thus, we
propose web services as a solution for cloud ERP interoperability. The proposed solution increases
interoperability between different cloud service providers and between cloud ERP systems with other
applications in a company.
.
KEYWORDS
Cloud computing, ERP, interoperability, web services.
1. INTRODUCTION
“By 2020, organizations with no-cloud policy will be rare” [Gartner]. In this research, we focus
on cloud ERP challenges and, more specifically, on interoperability. Enterprise resource planning
(ERP) is a technology that combines and integrates all business activities of an organization. The
adoption of an ERP system at any organization can improve the performance, business flow, and
availability of information. With the rise of cloud computing technology, small and medium
enterprises (SMEs) became interested in ERP systems. Cloud ERP became more popular than on-
premise ERP for many reasons, and low investment is definitely one of them. The interoperability
issue is one of the major challenges when adopting cloud ERP systems. A company can decide to
use cloud ERP as a solution to automate its business processes, but it should think about how the
new cloud ERP will be integrated with the other applications and systems in the company. In this
thesis, we suggest web services as a solution to help in solving the interoperability issue.
2. BACKGROUND
2.1. What is ERP?
ERP is a technology that provides solutions for all business activities in an enterprise, with a
single application and a single data repository [1]. It combines and automates all business

26
activities across an organization [2]. It also assists managers and employees in reaching their
goals of reducing the product cost and elevating efficiency [3].
In another word, ERP provides organizations with integrated solutions to manage their resources
in an efficient and effective way. Therefore, the purpose of ERP systems is to facilitate all
business function processes inside the organization and to manage all the connections outside the
organization [4].
One of the benefits that an organization can get from using ERP is it enables the organization to
re-engineer its business processes in order to achieve long-term success. ERP can also improve
the process flow, customer service, and enterprise performance [5].
The ERP evolution started in the 1960s, where most enterprises were interested in inventory
control systems under the inventory control package. In the 1970s, material requirements
planning (MRP) systems were developed, and their main function was scheduling the production
and material requirements. Later, in the 1980s, MRP was upgraded to its next generation (MRP
II), which expanded to cover more business processes, such as finance, project management, and
HR. MRP II also focuses on synchronizing production requirements with materials.
In the early 1990s, ERP was founded based on the MRP and MRP II systems. ERP systems took
enterprises to a higher level in integrating business processes, including all enterprise systems [6].
2.2. Cloud computing
Cloud computing is a model that enables access of a convenient, on-demand network to a shared
pool of configurable computing resources (e.g., networks, servers, storage facilities, applications,
and services) that can be rapidly provisioned and released with a minimal effort of management
or interactions of the service provider [7].
The National Institute of Standards and Technology defines cloud computing as “an access model
to configurable computing resources at any location appropriately and throw the network based
on demand” [8].
Organizations can benefit from cloud computing in terms of cost reduction, flexibility increase,
automation, high availability, and hardware independence [4].
Cloud computing can be classified under two main aspects: cloud by services and cloud by
deployment.
 Cloud service models are:
 Software as a service (SaaS): Provides users with the ability to access the
application of the service provider, which is located in the cloud side through
a web portal
 Platform as a service (PaaS): Provides a platform to support the building,
operation, and modification of applications. This platform includes providing
development, testing, and production environments. An example of this
platform is Google App Engine.

27
 Infrastructure as a service (IaaS): Provides a computing environment that
includes hardware and system software, such as servers, operating systems,
storage, communication networks, and any supporting tool where the cloud
provider is responsible for the installation and maintenance. An example of
this platform is Amazon EC2 [9, 10].
Cloud deployment models are:
 Public cloud: In this type of infrastructure, the cloud is available for the public
or large industrial groups, and it is owned by an organization that sells cloud
services.
 Private cloud: This type of cloud is operated for a single organization. It can be
managed by an organization, IT department, or third party.
 Community cloud: It supports a specific community interest and shared by
several organizations.
 Hybrid cloud: This type is a composition of two or more cloud deployment
models (at least one private and at least one public), which are bonded together
to enable data and application portability [7, 11, 12].
Problems in cloud computing:
Despite of all opportunities and advantages, cloud computing raises several issues:
 Security and privacy problems: The security challenges at various levels, namely,
network, host, and application levels, are not specifically caused by cloud computing but
instead are exacerbated by its use. The issues of infrastructure security and cloud
computing can be addressed by clearly defining trust boundaries by understanding
which party provides which part of security [14]. The security of data and identity of
users are the most serious problem in cloud computing.
 Data storage problems: When an organization choses to store data on the public cloud, it
loses its ability to have physical access to the servers hosting its information. As a result,
potential business sensitive and confidential data are at risk from insider attacks.
According to a recent Cloud Security Alliance report, insider attacks are the third
biggest threat in cloud computing. Therefore, cloud service providers must ensure that
thorough background checks are conducted for employees who have physical access to
the servers in the data center. In addition, data centers must be frequently monitored for
suspicious activities.
Moreover, cloud service providers often store data of more than one customer on the same server.
As a result, one user's private data can be viewed by other users (possibly even competitors). To
handle such sensitive situations, cloud service providers should ensure proper data isolation and
logical storage segregation.
 Interoperability and portability: The cloud ecosystem is large, with many providers
offering a wide variety of cloud services. Understanding the portability and
interoperability “of what” is the necessary first step of planning and designing the use

28
of any cloud service. Clarifying the specific interoperability and portability concerns
accelerates the identification of the “best fit” options and potential development of
solutions. These issues have a huge impact on the usage and adoption of cloud.
However, many experts says that interoperability is the greatest challenge that is
faced in cloud computing adoption [15].
Cloud computing has a huge impact on enterprise software. Moving from traditional on-premise
ERP to cloud-based ERP provides enterprises with a high demand of reliability, scalability, and
availability of computing services [16, 17].
ERP systems were traditionally focused on large organizations. However, with the rise of cloud
computing technology, SMEs became interested in the field. Nowadays, many organizations are
turning to cloud ERP. As ERP is provided as a ready-to-use software solution, cloud ERP falls
into the SaaS category of cloud services [16, 17].
Figure 1 shows the huge growth in the cloud service market from 2010 to 2017 (in billions) [18]:
Figure 1. Cloud service market size
Cloud-based ERP is a development of integrated business suite supporting ERP, CRM, and e-
commerce capabilities, where application modules can be accessed using an SaaS delivery model
and where application users have flexibility to configure and subscribe to a set of application
modules.
Vendors can provide organizations with three types of cloud ERP:
1. SaaS using a cloud infrastructure: This type provides maximum flexibility to switch
vendors.
2. SaaS using a cloud platform: In this type, the vendors move applications to a separate
cloud platform provider.
2010 2011 2012 2013 2014 2015 2016 2017
cloud service market size 80 90 109 132 150 180 200 250
80 90
109
132
150
180
200
250
0
50
100
150
200
250
300
Billions
Axis Title
Cloud service market size
cloud service market size

29
3. SaaS using a cloud application: In this type, applications, infrastructure, and hardware are
tightly integrated and cannot be separated [45].
What are the reasons for choosing cloud-based ERP?
1. Cloud ERP does not require hiring IT professionals, buying servers, or having in-house
software.
2. Managing the ERP is too complex and challenging for some organizations.
3. Cloud ERP is much economical [13].
3. RELATED WORK
Cloud interoperability problems first arose when multiple cloud providers exchange their data
applications and Virtual machines (VMs) between heterogeneous cloud systems [19].
First, we have to understand the interoperability problem to suggest a good solution.
Arunkumar and Neelanarayanan [20] defined interoperability as the ability of different
components to work in independent clouds with no or minimum user effort. They also stated that
22.9% of the risk rate of cloud adopting is caused by interoperability. In their paper, some
approaches to solve interoperability were mentioned: one was the integrated approach (all cloud
providers agree to follow the same standers), a unified approach (cloud provider has an
equivalent model to map other standers), and a federated approach (all cloud venders agree to
share the working semantics). However, interoperability issues can be raised at different levels.
From a user perspective [21] Described cloud interoperability as follows: Cloud users want to
have all their needs in one cloud and one vendor or any other interoperable clouds without paying
any extra effort in the development.
However, interoperability issues can be raised at different levels:
 Application interoperability: to port an application from its traditional infrastructure to cloud
environment or from cloud to cloud or from IaaS cloud provider to PaaS cloud provider,
reengineering the application is needed.
 Platform interoperability: there are two methods to achieve platform interoperability:
platform source portability (in this method the platform is ported with the application), and
machine image portability (machine image is a group of operating system, platform,
configuration and application which can be moved across different infrastructure clouds that
follows the same visualizing technology)
 Storage interoperability: a solution for storage interoperability issues was proposed by the
Storage Networking Industry Associating (SNIA) that was called Cloud Storage Management
Interface (CSMI) which is capable of accessing, administrating and self-provisioning data
elements in different clouds by using Restful web services.
 Management and configuration interoperability: the cloud providers should manage and
configure the physical system to avoid any system failure which will increase the uptime of
their virtual servers.

30
The authors of [20] introduce 4 other levels of interoperability :
1. Technical interoperability: machine to machine communication.
2. Syntactic interoperability: ability to exchange data.
3. Semantic interoperability: ability to operate on that data.
4. Organizational interoperability: capability of organizations to communicate and
transfer meaningful data.
Istvan Mezgar and Rauschecker [15] mentioned that cloud computing interoperability is a must
for a good cooperation of multiple Internet resources. Some cloud computing experts say that
interoperability is the greatest challenge faced in cloud computing adoption. Other IEEE cloud
experts say that standers must be developed to overcome the interoperability challenge. They
define interoperability as “the ability of two or more systems or applications to exchange
information with not much effort from the customer.”
Moreover, they introduce three different approaches in solving enterprise interoperability
problems:
- Integrated approach: In this approach, a common format for all models should be agreed
on by all parties.
- Unified approach: The common format exists in the meta-level and allows mapping
between models.
- Federated approach: Partners have to share an ontology to map their concepts at the
semantic level. This approach has no common format.
On the other side, they define cloud system interoperability as “the ability of writing a code that
can work with more than one cloud provider, and the user is concerned about the capability to
communicate between multiple clouds regardless of the differences between their providers.”
Then, they classify cloud interoperability into two groups: interoperability of the cloud system
(cloud layer) and interoperability of the applications (application layer).
Cloud interoperability is the ease of integration and migration of data and application between
multiple clouds. Scott Dowell and his colleagues discussed the following cloud interoperability
challenges [14]:
 Portability and mobility: This is about the image, application, and data interoperability.
Portability is the moving of image—in a down state—from one host to another, and then
this image is booted at its destination. Mobility is “the ability to move the workload of a
live computer from one host to another without the in-flight state or losing the client
connection.” Portability and mobility are very important in indicating the degree of
interoperability between clouds.
 Cloud service integration: Any enterprise may need to have its on-premise applications,
and SaaS applications interact with each other; web services and SOA principles are able
to solve this problem.
 Security, privacy, and trust: Having a well-defined cloud security policy and building a
trust relationship between clouds are important for users to control and access remote
resources across cloud boundaries.

31
They also presented a five-level cloud-to-cloud interoperability (C2CI) model:
- Level 0 (domain-based interoperability): At this level, we have an integrated environment
with shared data, wide area networks, and separated applications, where the cloud
services are limited to single cloud providers.
- Level 1 (enterprise-based interoperability): At this level, we have a universal
environment with a wide area network, shared data, and applications and cross-domain
information sharing and advanced collaborations via inter-cloud web services.
- Level 2 (portability interoperability): At this level, we have a public, private, or hybrid
cloud environment, where cloud artifacts can travel across multiple providers in down
states.
- Level 3 (security interoperability): At this level, we have a public, private, or hybrid
cloud environment, where the policies and procedures from one cloud provider will
interact with other policies and procedures from other cloud providers.
- Level 4 (mobile interoperability): At this level, we have a public, private, or hybrid cloud
environment, where cloud artifacts can travel across multiple providers in in-flight states.
4. SOME PROPOSED SOLUTIONS FOR CLOUD INTEROPERABILITY:
Gupta and Bhatia in [12] discussed interoperability for information exchange and how
standardization among communication protocols is very helpful in assuring Internet-wide
application interoperability. They proposed the use of simple and standard XML
protocols in web services as the best solution for interoperability over existing web
communication protocols. They also mentioned two other options: using a pre-existing
non-web-based protocol and designing a new non-web-based protocol. The first option
may be undesirable because it suffers from a lake of universal deployment, whereas the
second option requires more effort to be done on designing a new protocol, which also
makes it undesirable.
Many companies have standardized their processes, data, and systems through the
implementation of their ERP. This process can help create high integrated connections
between the instance of managing the consistency of transaction data and that of
producing reliable information [23]. This can be a solution for interoperability, but in our
study, we will concentrate on web services as a solution.
Some recently published studies address interoperability issues as a major challenge
faced by enterprises to survive continually changing environments. Moreover, they
discussed the need for a continued research in enterprise interoperability. Panetto and his
colleagues [24] explained how traditional systems manage the interoperability issues by
developing collaborative interfaces and negotiations between systems to enable a
meaningful interoperation, where the new generations of enterprise information systems
are expected to reduce the pre/agreements needed to be established to enable
interoperability. Romero and Vernadat [25] highlighted the future trend of the enterprise
technical architecture and how web services and XML-based approaches can support
interoperability and integration of systems, and this is what our solution is about.

32
[26] and [19] introduced a cloud broker solution for cloud interoperability. A cloud
broker is a third-party mechanism or technique used to enable interactions among
heterogynous cloud systems that are not able to interact with one another.
[27] presented another solution for interoperability between clouds, which is based on an
integration of the monitoring technique and holistic message bus system. This solution
provides a complete solution for communications in clouds and achieves interoperability
between clouds.
[28] developed a framework for cloud interoperability based on compliance and
conformance. He discussed how different cloud vendors can have different services and
how APIs will lead the users to face interoperability problems if they will not relay on
one cloud provider. He also discussed how standardization can help in solving cloud
interoperability problems.
4.1 Why web service is the solution?
What is web services?
SOA is an approach in software architecture that is used to build platform-independent software
component (services) that carry out small functions. This approach will improve the quality and
productivity of a system [32].
SOA enables the integration of applications and resources to be flexible through the following: 1)
SOA represents every application and resource as a service; 2) SOA enables the service to
exchange structured information; and 3) SOA coordinates and meditates between services.
Web services are based on SOA. They are software components that provide services to other
applications. W3C defines a web service as a software application that is identified by a URL,
and its interfaces and bindings can be defined, described, and discovered as XML artifacts [33].
Bertolino and Polini [36] discussed the importance of web services in supporting interoperability
between software applications. They define a web service as a “software system designed to
support interoperable machine-to-machine interaction over a network.” They proposed an
audition framework to raise awareness on web services’ interoperability issues and to study the
behavior of the services, especially their interaction with other services, before they become
publicly available. Their idea is still in its primary stage, and they have to work on it to make it
more reliable and effective.
Curbera and his colleges[26] define a set of properties that should be displayed by web services:
1. Gray box component: web services are encapsulated and have a description file.
2. Web services are loosely coupled.
3. Flexible integration.
4. Massages instead of API’s.

33
Because web services are platform and language independent, they become concerned with the
problem of application to application interaction and for their interoperability they become a
recommended solution for enterprise application integration [31, 32].
Using web service for interoperability is not a new solution. Basar daldal and his collages
suggested using RESTful Web Services for webRTC signaling interoperability[33]..
Cristian Danila and his colleagues proposed a web service architecture to achieve interoperability
in SCM. They discuss how can a supply chain in manufacturing increases its productivity and
lower the costs by using the proposed architecture that would provide context awareness and
interoperability [34]. [35] Suggested a web service interoperability solution for cloud computing
and provide a case study by connecting google app engine and Microsoft windows azure
platform. They conclude their paper with the fact how web services are very effective in
obtaining interoperability in cloud computing. All of these studies enrich our proposed solution
how can web service be used as a solution for cloud ERP.
5. THE PROPOSED SOLUTION:
We propose a web service generator wizard that can generate web services to connect between
cloud ERP applications. Our web service wizard help finding, combining and creating web
services that can be helpful in minimizing the interoperability problem in cloud ERP. This wizard
consists on a step by step procedure helping the customer, who want to integrate the new ERP
system with the existing legacy systems, to identify how and what to create as web service to
build the channel of communication. This procedure is done as follows:
 Identify which business object in ERP is involved in integration, for example Sales
business Object.
 Identify which functions in the business object are involved, for example Goods Issue.
 Identify the existing APIs or web services in ERP system that can be used for the
integration.
 If there is no web services in ERP system, create a new web service using the
corresponding API.
 Identify which legacy system we want to integrate
 Identify what business object in legacy system is involved in the integration
 Searching for existing web services, APIs or database tables related to the function that
we want to integrate.
There are 3 ways of creating the integration web service:
 Web service mapping: Create a composite web service based on the ERP web service
and legacy web service.
 API mapping: Create a web service based on the ERP web service and by using the
legacy API to extract the input output and by calling the API from the web service.
 Database mapping: It is used when there no legacy web service and API, in this case,
the system will create a legacy web service based on the involved database table, and
then create a new integration web service based on the ERP web service and the created
legacy web service.

34
Company sales system
- The previous system contains a database of old customer accounts.
- The new system manages old and new customers in a cloud-based system.
The API will link the old and new systems together.
Example 1: Get customer info
Process:
 The new system sends a request to the API.
 The API receives a customer ID.
 The API sends a request to the old system.
 The old system sends back the customer info using the customer ID.
 The API sends the results back to the new system.
Figure 2. Get customer info

35
Figure 3. User interface 1
.
.
<form action="#" method="post">
<h3>Select your options:</h3>
<div>
<label>Department:</label>
<select name="department">
<option value="accounts">Accounts</option>
<option>...</option>
</select>
</div>
<div>
<label>Section:</label>
<select name="section">
<option value="customers">Customers</option>
</select>
</div>
<div>
<label>Operation</label>
<select name="operation">
<option value="get_customer_info">Get customer info</option>
</select>
</div>
<div><button>Next</button></div>
</form>
.
Figure 4. Code 1

36
.
.
<form action="#" method="post">
<h3>Get Customer Info</h3>
<h5>Please enter the customer ID</h5>
<div>
<label>Customer ID:</label>
<input type="text" name="customer_id">
</div>
<div>
<button>Next</button>
<button>Previous</button>
</div>
</form>
.
.
Figure 6. Code 2

37
.
.
<h3>Get Customer Info</h3>
<h5>Customer ID: <b>11</b></h5>
<h5>Customer info:</h5>
<table>
<thead>
<tr>
<th>Name</th>
<th>Email</th>
<th>Phone</th>
<th>Register Date</th>
</tr>
</thead>
<tbody>
<tr>
<td>Ahmad Mohammad</td>
<td>ahmad@gmail.com</td>
<td>123456789</td>
<td>10/05/2015</td>
</tr>
</tbody>
</table>
<div>
<button disabled>Next</button>
<button>Previous</button>
</div>
Figure 8. Code 3

38
Example 1 Back-End (Server) Code:
ERP (Send request to the API):
Figure 9. Code 4
API (Receives an ERP request):
Figure 10. Code 5
Legacy (Receives an API request):
Figure 11. Code 6
6. CONCLUSION AND FUTURE WORK
In this paper we focused on the interoperability problem in cloud ERP and stated the drawbacks
that ERP faces with interoperability. The literature review discussed some of the previously
proposed solution for interoperability issues.We proposed a web services generating wizard that

39
can be helpful in solving cloud ERP interoperability issues. As a future work, we aim to extend
the methodology of solving cloud ERP interoperability by combining our results with other
research on the field and to consider other useful alternative methods. A possible extension of our
work is to build a full version of the solution and make some minor adjustments if needed to
improve the functionality of the wizard. Moreover, a set of tests should be establish to provide a
good assessment of our solution. Last but not the least, developers should give more focus and
attention to interoperability issues when planning and designing any ERP system
REFERENCES
1. Purohit, G., M. Jaiswal, and S. Pandey, Challenges involved in implementation of ERP on demand
solution: Cloud computing. International Journal of Computer Science Issues (IJCSI), 2012. 9(4): p.
481.
2. Weng, F. and M.-C. Hung, Competition and challenge on adopting cloud ERP. International Journal of
Innovation, Management and Technology, 2014. 5(4): p. 309.
3. Yang, N., D. Li, and Y. Tong, A cloud computing-based ERP system under the cloud manufacturing
environment. International Journal of Digital Content Technology and its Applications, 2012. 6(23): p.
126.
4. Wang, S. and H. Wang, A Survey of Open Source Enterprise Resource Planning (ERP) Systems.
International Journal of Business and Information, 2014. 9(1): p. 1.
5. ALdayel, A.I., M.S. Aldayel, and A.S. Al-Mudimigh, The critical success factors of ERP
implementation in higher education in Saudi Arabia: a case study. Journal of Information technology
and economic development, 2011. 2(2): p. 1.
6. Goyal, S., Public vs private vs hybrid vs community-cloud computing: A critical review. International
Journal of Computer Network and Information Security, 2014. 6(3): p. 20.
7. Khanghahi, N., R. Nasiri, and M. Razavi, A New Approach toward Locating ERP Components on
Cloud Computing Architecture. International Journal of Advanced Research in Computer Science,
2014. 5(1).
8. Xu, X., From cloud computing to cloud manufacturing. Robotics and computer-integrated
manufacturing, 2012. 28(1): p. 75-86.
9. Sinjilawi, Y.K., M.Q. Al-Nabhan, and E.A. Abu-Shanab, Addressing security and privacy issues in
cloud computing. Journal of Emerging Technologies in Web Intelligence, 2014. 6(2): p. 192-199.
10. Alali, F.A. and C.-L. Yeh, Cloud computing: Overview and risk analysis. Journal of Information
Systems, 2012. 26(2): p. 13-33.
11. Fortinová, J., Risks of Cloud Computing. Systémová Integrace, 2013. 20(3).
12. Mather, T., S. Kumaraswamy, and S. Latif, Cloud security and privacy: an enterprise perspective on
risks and compliance. 2009: " O'Reilly Media, Inc.".
13. Mezgár, I. and U. Rauschecker, The challenge of networked enterprises for cloud computing
interoperability. Computers in Industry, 2014. 65(4): p. 657-674.

40
14. Boillat, T. and C. Legner, From on-premise software to cloud services: the impact of cloud computing
on enterprise software vendors' business models. Journal of theoretical and applied electronic
commerce research, 2013. 8(3): p. 39-58.
15. Rimal, B.P., et al., Architectural requirements for cloud computing systems: an enterprise cloud
approach. Journal of Grid Computing, 2011. 9(1): p. 3-26.
16. Suciu, G., et al. ERP and e-business application deployment in open source distributed cloud systems.
in The Eleventh International Conference on Informatics in Economy IE. 2012. Citeseer.
17. Mijac, M., R. Picek, and Z. Stapic. Cloud ERP system customization challenges. in Central European
Conference on Information and Intelligent Systems. 2013. Faculty of Organization and Informatics
Varazdin.
18. Gupta, V. and S.S. Bhatia, Developing Assurance Framework of Cloud Computing in the
implementation of ERP: A Literature Survey.
19. Arunkumar, G. and N. Venkataraman, A novel approach to address interoperability concern in cloud
computing. Procedia Computer Science, 2015. 50: p. 554-559.
20. Rezaei, R., T.K. Chiew, and S.P. Lee, A review on E-business Interoperability Frameworks. Journal of
Systems and Software, 2014. 93: p. 199-216.
21. Yu, Q., L. Chen, and B. Li, Ant colony optimization applied to web service compositions in cloud
computing. Computers & Electrical Engineering, 2015. 41: p. 18-27.
22. Nacer, H. and D. Aissani, Semantic web services: Standards, applications, challenges and solutions.
Journal of Network and Computer Applications, 2014. 44: p. 134-151.
23. Cabral, L., et al., Approaches to semantic web services: an overview and comparisons, in The semantic
web: Research and applications. 2004, Springer. p. 225-239.
24. Sheng, Q.Z., et al., Web services composition: A decade’s overview. Information Sciences, 2014. 280:
p. 218-238.
25. Bertolino, A. and A. Polini. The audition framework for testing web services interoperability. in
Software Engineering and Advanced Applications, 2005. 31st EUROMICRO Conference on. 2005.
IEEE.
26. Curbera, F., W. Nagy, and S. Weerawarana. Web services: Why and how. in Workshop on Object-
Oriented Web Services-OOPSLA. 2001.
27. Avram, M.-G., Advantages and challenges of adopting cloud computing from an enterprise
perspective. Procedia Technology, 2014. 12: p. 529-534.
28. Panetto, H., et al., New perspectives for the future interoperable enterprise systems. Computers in
Industry, 2015.
29. Romero, D. and F. Vernadat, Enterprise information systems state of the art: Past, present and future
trends. Computers in Industry, 2016.
30. Hanna, S., An Approach to Modeling Web Services Datatype Descriptions. Journal of Theoretical and
Applied Electronic Commerce Research, 2016. 11(2): p. 64.

41
31. Narock, T., V. Yoon, and S. March, A provenance-based approach to semantic web service description
and discovery. Decision Support Systems, 2014. 64: p. 90-99.
32. Tsalgatidou, A. and T. Pilioura, An overview of standards and related technology in web services.
Distributed and Parallel Databases, 2002. 12(2-3): p. 135-162.
33. Metin, S. Using Web Services for WebRTC signaling interoperability. in Network Operations and
Management Symposium (NOMS), 2016 IEEE/IFIP. 2016. IEEE.
34. Danila, C., et al., Web-service based architecture to support SCM context-awareness and
interoperability. Journal of Intelligent Manufacturing, 2016. 27(1): p. 73-82.
35. Bhukya, D.P., R.A. Sony, and G. Muduganti, On web services based cloud interoperability.
International Journal of Computer Science Issues (IJCSI), 2012. 9(5): p. 232.

Web Services as A Solution for Cloud Enterprise Resource Planning Interoperability

More Related Content

What's hot (17)

Similar to Web Services as A Solution for Cloud Enterprise Resource Planning Interoperability (20)

More from AIRCC Publishing Corporation (20)

Recently uploaded (20)

Web Services as A Solution for Cloud Enterprise Resource Planning Interoperability