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Journal articles on the topic 'Service oriented computing'

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Author: Grafiati

Published: 4 June 2021

Last updated: 25 May 2024

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1

Erickson, John, and Keng Siau. "Web Services, Service-Oriented Computing, and Service-Oriented Architecture." Journal of Database Management 19, no. 3 (July 2008): 42–54. http://dx.doi.org/10.4018/jdm.2008070103.

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2

Casati, Fabio. "Service-oriented computing." ACM SIGWEB Newsletter 2007, Winter (December 2007): 1. http://dx.doi.org/10.1145/1324960.1324961.

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3

Bichler, M., and Kwei-Jay Lin. "Service-Oriented Computing." Computer 39, no. 3 (March 2006): 99–101. http://dx.doi.org/10.1109/mc.2006.102.

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4

Dan, Asit, and Priya Narasimhan. "Dependable Service-Oriented Computing." IEEE Internet Computing 13, no. 2 (March 2009): 11–15. http://dx.doi.org/10.1109/mic.2009.32.

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5

PAPAZOGLOU, MICHAEL P., PAOLO TRAVERSO, SCHAHRAM DUSTDAR, and FRANK LEYMANN. "SERVICE-ORIENTED COMPUTING: A RESEARCH ROADMAP." International Journal of Cooperative Information Systems 17, no. 02 (June 2008): 223–55. http://dx.doi.org/10.1142/s0218843008001816.

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Service-Oriented Computing (SOC) is a new computing paradigm that utilizes services as the basic constructs to support the development of rapid, low-cost and easy composition of distributed applications even in heterogeneous environments. The promise of Service-Oriented Computing is a world of cooperating services where application components are assembled with little effort into a network of services that can be loosely coupled to create flexible dynamic business processes and agile applications that may span organizations and computing platforms. The subject of Service-Oriented Computing is vast and enormously complex, spanning many concepts and technologies that find their origins in diverse disciplines that are woven together in an intricate manner. In addition, there is a need to merge technology with an understanding of business processes and organizational structures, a combination of recognizing an enterprise's pain points and the potential solutions that can be applied to correct them. The material in research spans an immense and diverse spectrum of literature, in origin and in character. As a result research activities are very fragmented. This necessitates that a broader vision and perspective be established — one that permeates and transforms the fundamental requirements of complex applications that require the use of the Service-Oriented Computing paradigm. This paper provides a Service Oriented Computing Roadmap and places on-going research activities and projects in the broader context of this roadmap. This research roadmap launches four pivotal, inherently related, research themes to Service-Oriented Computing: service foundations, service composition, service management and monitoring and service-oriented engineering.

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6

Bhadoria, Robin Singh, and Narendra S. Chaudhari. "Pragmatic Sensory Data Semantics With Service-Oriented Computing." Journal of Organizational and End User Computing 31, no. 2 (April 2019): 22–36. http://dx.doi.org/10.4018/joeuc.2019040102.

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The importance of an architectural semantic for service-oriented computing starts with the characteristics of software systems that has been recognized with sharing and the utilization of resources. However, an architectural characteristic for service-oriented based applications depends on interaction patterns that utilizes a data format in communication. These patterns also help in establishing communication between service components. The goal of service-oriented computing methodologies could be achieved by adopting a logical separation of services from the actual mechanism of resource assignment and allotment. This shows that how services are reliable as interaction patterns between service provider and requester. It generates the binding patterns between these two and establishes communication between them. This article discusses the mathematical-based semantic model that presents an architectural view for systems that follows a service-oriented computing methodology. It also briefs describes about different execution states and routes, which addresses the service specifications in service-oriented computing.

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7

Zhang, Jian Ying, Hepu Deng, and Ryszard Kowalczyk. "A Qualitative Model for Service Oriented Computing." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 10 (December 20, 2007): 1209–15. http://dx.doi.org/10.20965/jaciii.2007.p1209.

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In this paper we introduce fuzzy causal network as a qualitative model for service oriented computing. Firstly, we give a brief description of fuzzy causal network. Secondly, we explain how fuzzy causal network can be used as a qualitative model for service oriented computing. Thirdly, We use fuzzy causal network to model a real world problem in the area of service oriented computing to demonstrate the correctness and effectiveness of this model. Finally, we outline some open research problems for further study. The proposed model has potential to become a good framework for causal discovery and decision support in service oriented computing, especially in the cases where intensive interaction among various services are involved.

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8

Manolakos, Elias S., and Demetris G. Galatopoullos. "Service-Oriented Architectures for Pervasive Computing." International Journal of Advanced Pervasive and Ubiquitous Computing 2, no. 4 (October 2010): 39–62. http://dx.doi.org/10.4018/ijapuc.2010100103.

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The vision of pervasive computing is to create and manage computational spaces where large numbers of heterogeneous devices collaborate transparently to serve the user tasks all the time, anywhere. The original utility of a computer is now changing from a stand-alone tool that runs software applications to an environmentaware, context-aware tool that can enhance the user experience by executing services and carrying out his/ her tasks in an efficient manner. However, the heterogeneity of devices and the user’s mobility are among the many issues that make developing pervasive computing applications a very challenging task. A solution to the programmability of pervasive spaces is adopting the service-oriented architecture (SOA) paradigm. In the SOA model, device capabilities are exposed as software services thus providing the programmer with a convenient abstraction level that can help to deal with the dynamicity of pervasive spaces. In this chapter the authors review the state of the art in SOA-based pervasive computing, identify existing open problems, and contribute ideas for future research.

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9

Al-Rashedi, Abdulelah Awadh. "E-Government Based on Cloud Computing and Service-Oriented Architecture." International Journal of Computer and Electrical Engineering 6, no. 3 (2014): 201–6. http://dx.doi.org/10.7763/ijcee.2014.v6.822.

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10

BOCCHI, LAURA, and EMILIO TUOSTO. "Attribute-based transactions in service oriented computing." Mathematical Structures in Computer Science 25, no. 3 (November 10, 2014): 619–65. http://dx.doi.org/10.1017/s0960129512000904.

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We present a theory for the design and verification of distributed transactions in dynamically reconfigurable systems. Despite several formal approaches have been proposed to study distributed transactional behaviours, the inter-relations between failure propagation and dynamic system reconfiguration still need investigation. We propose a formal model for transactions in service oriented architectures (SOAs) inspired by the attribute mechanisms of the Java Transaction API. Technically, we model services in ATc (after ‘Attribute-basedTransactionalcalculus’), a CCS-like process calculus where service declarations are decorated with atransactional attribute. Such attribute disciplines, upon service invocation, how the invoked service is executed with respect to the transactional scopes of the invoker. A type system ensures that well-typed ATc systems do not exhibit run-time errors due to misuse of the transactional mechanisms. Finally, we define a testing framework for distributed transactions in SOAs based on ATc and prove that under reasonable conditions some attributes are observationally indistinguishable.

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11

Xie, Wu Ping, Jin Yun Xue, and Dong Ming Jiang. "An Automatic Code Generation Framework for Service Dynamic Binding." Applied Mechanics and Materials 543-547 (March 2014): 3009–12. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3009.

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Service-oriented computing is a novel computing paradigm that utilizes simple small-scale services as fundamental elements to orchestrate applications that are complex large-scale services, while traditional software development methods and running environment are insufficient to support the challenges required by dynamic services binding and service reuse. We concentrate on service-oriented programming, and propose a mutable pragmatic and effective automated code generation framework for service dynamic binding. Service-oriented applications are developed in a unified and coordinated way, and the additional codes are generated automatically to invoke diverse services developed by distinct technologies. Service dynamic binding is achieved by filtering from a set of candidate services through the execution engine.

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12

Aldewereld, Huib, Julian Padget, Wamberto Vasconcelos, Javier Vazquez-Salceda, Paul Sergeant, and Athanasios Staikopoulos. "Adaptable, Organization-Aware, Service-Oriented Computing." IEEE Intelligent Systems 25, no. 4 (July 2010): 26–35. http://dx.doi.org/10.1109/mis.2010.93.

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13

Papageorgiou, Apostolos. "Service-oriented computing with wireless participants." ACM SIGMultimedia Records 4, no. 2 (July 24, 2012): 9–10. http://dx.doi.org/10.1145/2350204.2350211.

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14

Tai, Stefan, Thomas Mikalsen, Eric Wohlstadter, Nirmit Desai, and Isabelle Rouvellou. "Transaction policies for service-oriented computing." Data & Knowledge Engineering 51, no. 1 (October 2004): 59–79. http://dx.doi.org/10.1016/j.datak.2003.03.001.

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15

Lethrech, Mohammed, Adil Kenzi, Issam Elmagrouni, Mahmoud Nassar, and Abdelaziz Kriouile. "A MDSD Approach for Adaptable Service Oriented Systems based on Domain Specific Language Engineering." International Journal of Adaptive, Resilient and Autonomic Systems 7, no. 1 (January 2016): 1–25. http://dx.doi.org/10.4018/ijaras.2016010101.

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The simultaneous use of the new computing paradigms: Domain Specific Modeling, Context Oriented Computing and Service Oriented Computing, raises many challenges. Particularly, the challenge of engineering such systems, which consists of the definition of modeling approaches, processes, techniques and tools to facilitate their construction. The proposed MDSD approach for context-aware service oriented systems is based on Domain Specific Language Engineering. The Context-Aware, Domain Specific and Service Oriented (CADSSO) development approach is based on five models. The first one is domain specific context model; it symbolizes the services context of use. The second is domain specific services model; it takes care of services modeling. The third is service variability model; it formulates services variants. The fourth is adaptation rules model, which is the joint between service variability model and context model. The fifth is business rules model, used to model domain business. A code generator is in charge of the transformation of the five models to the final code.

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16

CHEN, Shi-Zhan, Zhi-Yong FENG, and Hui WANG. "Service Relations and Its Application in Services-Oriented Computing." Chinese Journal of Computers 33, no. 11 (December 2, 2010): 2068–83. http://dx.doi.org/10.3724/sp.j.1016.2010.02068.

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17

Wei, Yi, and M. Brian Blake. "Service-Oriented Computing and Cloud Computing: Challenges and Opportunities." IEEE Internet Computing 14, no. 6 (November 2010): 72–75. http://dx.doi.org/10.1109/mic.2010.147.

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18

Zhang, Yong Sheng, Qin Luo, Xue Wu Nie, and Xiao Dong Bi. "Research on Policy-Based Service-Oriented Computing Security." Applied Mechanics and Materials 55-57 (May 2011): 602–7. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.602.

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This article described the Web Services security protocols, and the policy description language XACML was analyzed in detail in the Web Services. XACML is characterized by the strong ability of expansion and the favorable inter-operation in the access control of the Web Services, which are concluded from the comparison in both SOA strategic architectures. A collection of XACML policy combination algorithms and decision algorithms were discussed in the policy-based service-oriented computing, then the policy control and access control mechanism were also illustrated, and the corresponding decision model was described, at last the development of XACML was prospected.

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19

DEMIRKAN, HALUK, and MICHAEL GOUL. "SERVICE ORIENTED TECHNOLOGY MANAGEMENT TO IMPROVE ORGANIZATIONAL AGILITY." International Journal of Innovation and Technology Management 06, no. 01 (March 2009): 1–16. http://dx.doi.org/10.1142/s0219877009001509.

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The service orientation — coupled with dynamic choreography of business processes, service oriented architectures and service oriented infrastructures — is a developing structure that carries with it the potential to improve agility in today's complex business environments. But because of the newness of the concept and the limited number of large-scale organizations ready or willing to be "early adopters," it is difficult to predict the organizational and technical impacts, understand the critical issues, or perform rigorous research on services computing. So, how should a company begin assessing the real impacts of these service orientation paradigm shifts? In this article, we established an integrated assessment process for creating an organizational roadmap to realize visions of how to deliver reliable, scalable enterprise processes built upon services-computing.

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20

Yin, Jianwei, Meng Xi, Shuiguang Deng, Siwei Tan, Jintao Chen, Yongna Wei, Zhaohui Wu, Schahram Dustdar, and Schahram Dustdar. "A Service Pattern-Oriented Computing Architecture for Service Ecosystems." IEEE Internet Computing 26, no. 1 (January 1, 2022): 51–59. http://dx.doi.org/10.1109/mic.2021.3060982.

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21

Yau, S. S., H. Davulcu, S. Mukhopadhyay, D. Huang, H. Gong, P. Singh, and F. Gelgi. "Automated Situation-Aware Service Composition in Service-Oriented Computing." International Journal of Web Services Research 4, no. 4 (October 2007): 59–82. http://dx.doi.org/10.4018/jwsr.2007100103.

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22

CAO, LONGBING. "INTEGRATING AGENT, SERVICE AND ORGANIZATIONAL COMPUTING." International Journal of Software Engineering and Knowledge Engineering 18, no. 05 (August 2008): 573–96. http://dx.doi.org/10.1142/s0218194008003805.

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Engineering open complex systems is challenging because of system complexities such as openness, the involvement of organizational factors and service delivery. It cannot be handled well by the single use of existing computing techniques such as agent-based computing and service-oriented computing. Due to the intrinsic organizational characteristics and the request of service delivery, an integrative computing paradigm combining agent, service, organizational and social computing can open complex systems more effectively engineering. In this paper, we briefly introduce an integrative computing approach named OASOC for system analysis and design. It combines and complements the strengths of agent, service and organizational computing to handle the complexities of open complex systems. OASOC provides facilities for organization-oriented analysis and agent service-oriented design. It also supports transition between analysis and design. Compared with the existing approaches, our approach can (1) support service and organization that are either rarely or weakly covered by single computing methods, (2) provide effective mechanisms to integrate agent, service and organizational computing, and (3) complement the strengths of various methods. Experiences in engineering an online trading support system have further shown the workable capability of integrating agent, service and organizational computing for engineering open complex systems.

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23

Kyriazis, Dimosthenis. "Protection of Service-Oriented Environments Serving Critical Infrastructures." Inventions 3, no. 3 (August 30, 2018): 62. http://dx.doi.org/10.3390/inventions3030062.

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The emergence of service-oriented architectures has driven the shift towards a service-oriented paradigm, which has been adopted in several application domains. The advent of cloud computing facilities and recently of edge computing environments has increased the aforementioned paradigm shift towards service provisioning. In this context, various “traditional” critical infrastructure components have turned to services, being deployed and managed on top of cloud and edge computing infrastructures. However, the latter poses a specific challenge: the services of the critical infrastructures within and across application verticals/domains (e.g., transportation, health, industrial venues, etc.) need to be continuously available with near-zero downtime. In this context, this paper presents an approach for high-performance monitoring and failure detection of critical infrastructure services that are deployed in virtualized environments. The failure detection framework consists of distributed agents (i.e., monitoring services) to ensure timely collection of monitoring data, while it is enhanced with a voting algorithm to minimize the case of false positives. The goal of the proposed approach is to detect failures in datacenters that support critical infrastructures by targeting both the acquisition of monitoring data in a performant way and the minimization of false positives in terms of potential failure detection. The specific approach is the baseline towards decision making and triggering of actions in runtime to ensure service high availability, given that it provides the required data for decision making on time with high accuracy.

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24

LIU, Jia-Hong, and Quan-Yuan WU. "An Event-Driven Service-Oriented Computing Platform." Chinese Journal of Computers 31, no. 4 (September 28, 2009): 588–99. http://dx.doi.org/10.3724/sp.j.1016.2008.00588.

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25

Yangui, Sami, Andrzej Goscinski, Khalil Drira, Zahir Tari, and Djamal Benslimane. "Future generation of service-oriented computing systems." Future Generation Computer Systems 118 (May 2021): 252–56. http://dx.doi.org/10.1016/j.future.2021.01.019.

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26

Atkinson, Colin, Philipp Bostan, and Dirk Draheim. "Foundational MDA Patterns for Service-Oriented Computing ." Journal of Object Technology 14, no. 1 (2015): 1:1. http://dx.doi.org/10.5381/jot.2015.14.1.a1.

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27

Kumar, Arun, Neeran Karnik, and Vikas Agarwal. "Usage Metering for Service-Oriented Grid Computing." International Journal of E-Business Research 2, no. 1 (January 2006): 78–106. http://dx.doi.org/10.4018/jebr.2006010105.

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28

Mishra, Siba, and Chiranjeev Kumar. "Effort Estimation for Service-Oriented Computing Environments." Computing and Informatics 37, no. 3 (2018): 553–80. http://dx.doi.org/10.4149/cai_2018_3_553.

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29

Huhns, M. N., and M. P. Singh. "Service-oriented computing: key concepts and principles." IEEE Internet Computing 9, no. 1 (January 2005): 75–81. http://dx.doi.org/10.1109/mic.2005.21.

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30

Grassi, V., and S. Patella. "Reliability prediction for service-oriented computing environments." IEEE Internet Computing 10, no. 3 (May 2006): 43–49. http://dx.doi.org/10.1109/mic.2006.64.

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31

Curbera, F., M. J. Duftler, R. Khalaf, W. A. Nagy, N. Mukhi, and S. Weerawarana. "Colombo: Lightweight middleware for service-oriented computing." IBM Systems Journal 44, no. 4 (2005): 799–820. http://dx.doi.org/10.1147/sj.444.0799.

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32

van Sinderen, Marten, and Marcus Spies. "Towards model-driven service-oriented enterprise computing." Enterprise Information Systems 3, no. 3 (August 2009): 211–17. http://dx.doi.org/10.1080/17517570903116442.

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33

Traore, Boukaye Boubacar, Bernard Kamsu Foguem, Fana Tangara, and Xavier Desforges. "Service-Oriented Computing for intelligent train maintenance." Enterprise Information Systems 13, no. 1 (July 26, 2018): 63–86. http://dx.doi.org/10.1080/17517575.2018.1501818.

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34

Derbal, Youcef. "Midland: a service-oriented cluster computing infrastructure." Service Oriented Computing and Applications 3, no. 2 (March 3, 2009): 109–25. http://dx.doi.org/10.1007/s11761-009-0042-y.

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35

Cabri, Giacomo, Letizia Leonardi, Mariachiara Puviani, and Raffaele Quitadamo. "Comparing Service-Oriented Computing and Agent-Oriented Programming towards integration." Web Intelligence and Agent Systems: An International Journal 9, no. 2 (2011): 135–46. http://dx.doi.org/10.3233/wia-2011-0211.

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36

Farajian, Nima, and Hossein Ebrahim pour-komleh. "Parallel Continuous Double Auction for Service Allocation in Cloud Computing." Computer Engineering and Applications Journal 4, no. 2 (June 20, 2015): 133–42. http://dx.doi.org/10.18495/comengapp.v4i2.125.

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Cloud Computing is a service oriented architecture in which every computing resources is delivered to users as a service. Nowadays market-oriented approach has attracted a lot of researchers because of its great ability to manage Cloud services efficiently and dynamically. Each service consists of various resources which all should be allocated to utilize the service. In this paper a parallel continuous double auction method for efficient service allocation in cloud computing is presented in which by using a novel parallel sorting algorithm at auctioneer, enables consumers to order various resources as workflow for utilizing requested services efficiently. Also in the presented method consumers and providers make bid and offer prices based on time factor. Experimental results show that proposed method is efficient in success rate, resource utilization and average connection time and also overall performance of system is improved by parallel approach.

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37

Kim, Won-Suk. "Progressive Traffic-Oriented Resource Management for Reducing Network Congestion in Edge Computing." Entropy 23, no. 5 (April 26, 2021): 532. http://dx.doi.org/10.3390/e23050532.

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Edge computing can deliver network services with low latency and real-time processing by providing cloud services at the network edge. Edge computing has a number of advantages such as low latency, locality, and network traffic distribution, but the associated resource management has become a significant challenge because of its inherent hierarchical, distributed, and heterogeneous nature. Various cloud-based network services such as crowd sensing, hierarchical deep learning systems, and cloud gaming each have their own traffic patterns and computing requirements. To provide a satisfactory user experience for these services, resource management that comprehensively considers service diversity, client usage patterns, and network performance indicators is required. In this study, an algorithm that simultaneously considers computing resources and network traffic load when deploying servers that provide edge services is proposed. The proposed algorithm generates candidate deployments based on factors that affect traffic load, such as the number of servers, server location, and client mapping according to service characteristics and usage. A final deployment plan is then established using a partial vector bin packing scheme that considers both the generated traffic and computing resources in the network. The proposed algorithm is evaluated using several simulations that consider actual network service and device characteristics.

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38

Sutriono, Sutriono, Ali Mustopa, and Joko Dwi Santoso. "PRIVATE CLOUD COMPUTING INFRASTRUCTURE AS A SERVICE DENGAN OWNCLOUD DI SMK AL-ISLAM JORESAN KABUPATEN PONOROGO." Journal of Information System Management (JOISM) 4, no. 1 (August 28, 2022): 57–61. http://dx.doi.org/10.24076/joism.2022v4i1.873.

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Private Cloud Computing adalah model Cloud Computing yang memberikan cakupan yang lebih kecil untuk dapat memberikan layanan kepada pengguna tertentu pada perusahaan skala besar dengan pola akses Enterprise Remote melalui jaringan lokal dan koneksi Internet menggunakan Fixed Device dan Mobile Device. Cloud Computing dapat dipadukan dengan Service Oriented Architecture, sehingga menghasilkan alternatif solusi yang paling efektif untuk perancangan pengembangan sistem yang terintegrasi. Cloud Computing mampu memberikan dukungan terhadap layanan Service Oriented Architecture seperti desain layanan dan kemampuan untuk memperluas layanan. Sedangkan Service Oriented Architecture mampu memberikan dukungan terhadap Cloud Computing berupa tata kelola layanan dan memberikan dorongan arsitektur berorientasi layanan yang menyediakan interface yang efisien untuk pembelajaran di SMK Al-Islam Joresan. Dalam penelitian yang dilakukan SMK Al-Islam Joresan ini bertujuan untuk mengimplementasikan sistem cloud computing. Metode yang digunakan adalah observasi, wawancara, analisis, dan implementasi Cloud Computing IaaS. Analisis dilakukan untuk mengimplementasikan sistem Cloud Computing agar Layanan dapat memberikan sinkronisasi data cloud dengan mobile, desktop dan web. Penggunaan OwnCloud diharapkan dapat diimplementasikan untuk suatu karakteristik layanan Infrastructure as a Service yang berfungsi sebagai Cloud Storage. Kata Kunci : Cloud Computing, Service Oriented Architecture, Cloud Storage

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39

Reinicke, Michael, Werner Streitberger, and Torsten Eymann. "Evaluation of service selection techniques in service oriented computing networks." Multiagent and Grid Systems 1, no. 4 (December 1, 2005): 271–85. http://dx.doi.org/10.3233/mgs-2005-1405.

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40

Ke, Changbo, Zhiqiu Huang, Weiwei Li, Yi Sun, and Fangxiong Xiao. "Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing." Journal of Applied Mathematics 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/240425.

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Cloud computing has provided services for users as a software paradigm. However, it is difficult to ensure privacy information security because of its opening, virtualization, and service outsourcing features. Therefore how to protect user privacy information has become a research focus. In this paper, firstly, we model service privacy policy and user privacy preference with description logic. Secondly, we use the pellet reasonor to verify the consistency and satisfiability, so as to detect the privacy conflict between services and user. Thirdly, we present the algorithm of detecting privacy conflict in the process of cloud service composition and prove the correctness and feasibility of this method by case study and experiment analysis. Our method can reduce the risk of user sensitive privacy information being illegally used and propagated by outsourcing services. In the meantime, the method avoids the exception in the process of service composition by the privacy conflict, and improves the trust degree of cloud service providers.

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41

Guermah, Hatim, Bassma Guermah, Tarik Fissaa, Hatim Hafiddi, and Mahmoud Nassar. "Dealing With Context Awareness for Service-Oriented Systems." International Journal of Service Science, Management, Engineering, and Technology 12, no. 4 (July 2021): 110–31. http://dx.doi.org/10.4018/ijssmet.2021070107.

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In recent years, rapid advances in the enabling technologies for mobile and ubiquitous computing, software paradigms, embedded sensor technologies, and wide range of wired and wireless protocols have been witnessed. Specifically, context-aware services-oriented applications are emerging as the next computing paradigm in which infrastructure and services are seamlessly available. Context-awareness, being an important ingredient, plays a vital role in enabling such interactive smart environments. More recently, the increasing popularity of ontologies has led to new ontology-based models of context because of their potential to support sophisticated ontology-based reasoning methods. This paper presents an architecture for the development of context-aware services based on ontologies. The authors highlight the context metamodel and discuss about reasoning process. This research also presents the semantic approach for service adaptation in context aware environment.

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42

Brazier, Frances M. T., Jeffrey O. Kephart, H. Van Dyke Parunak, and Michael N. Huhns. "Agents and Service-Oriented Computing for Autonomic Computing: A Research Agenda." IEEE Internet Computing 13, no. 3 (May 2009): 82–87. http://dx.doi.org/10.1109/mic.2009.51.

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43

Karastoyanova, Dimka. "Springer computing special issue: adaptation in service-oriented and Cloud Computing." Computing 95, no. 6 (March 26, 2013): 449–51. http://dx.doi.org/10.1007/s00607-013-0319-z.

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44

Leong, Peter, Chunyan Miao, and Bu Sung Lee. "A survey of agent-oriented software engineering for service-oriented computing." International Journal of Web Engineering and Technology 4, no. 3 (2008): 367. http://dx.doi.org/10.1504/ijwet.2008.019539.

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45

Goswami, Sukalyan, and Ajanta De Sarkar. "Service Oriented Load Balancing Framework in Computational Grid Environment." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 9, no. 3 (July 20, 2013): 1091–98. http://dx.doi.org/10.24297/ijct.v9i3.3334.

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Grid computing or computational grid has become a vast research field in academics. It is a promising platform that provides resource sharing through multi-institutional virtual organizations for dynamic problem solving. Such platforms are much more cost-effective than traditional high performance computing systems. Due to the provision of scalability of resources, these days grid computing has become popular in industry as well. However, computational grid has different constraints and requirements to those of traditional high performance computing systems. In order to fully exploit such grid systems, resource management and scheduling are key challenges, where issues of task allocation and load balancing represent a common problem for most grid systems as because the load scenarios of individual grid resources are dynamic in nature. The objective of this paper is to review different existing load balancing algorithms or techniques applicable in grid computing and propose a layered service oriented framework for computational grid to solve the prevailing problem of dynamic load balancing.

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Xing, Huaqiao, Haihang Wang, Jinhua Zhang, and Dongyang Hou. "Monitoring Land Cover Change by Leveraging a Dynamic Service-Oriented Computing Model." Remote Sensing 15, no. 3 (January 27, 2023): 736. http://dx.doi.org/10.3390/rs15030736.

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Land cover change (LCC) is increasingly affecting global climate change, energy cycle, carbon cycle, and water cycle, with far-reaching consequences to human well-being. Web service-based online change detection applications have bloomed over the past decade for monitoring land cover change. Currently, massive processing services and data services have been published and used over the internet. However, few studies consider both service integration and resource sharing in land cover domain, making end-users rarely able to acquire the LCC information timely. The behavior interaction between services is also growing more complex due to the increasing use of web service composition technology, making it challenging for static web services to provide collaboration and matching between diverse web services. To address the above challenges, a Dynamic Service Computing Model (DSCM) was proposed for monitoring LCC. Three dynamic computation strategies were proposed according to different users’ requirements of change detection. WMS-LCC was first developed by extending the existing WMS for ready-use LCC data access. Spatial relation-based LCC data integration was then proposed for extracting LCC information based on multi-temporal land cover data. Processing service encapsulation and service composition methods were also developed for chaining various land cover services to a complex service chain. Finally, a prototype system was implemented to evaluate the validity and feasibility of the proposed DSCM. Two walk-through examples were performed with GlobeLand30 datasets and muti-temporal Landsat imagery, respectively. The experimental results indicate that the proposed DSCM approach was more effective and applicable to a wider range of issues in land cover change detection.

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Rathnaayke, Madhushi, and Janaka I Wijayanayake. "Service Oriented Quality Requirement Framework for Cloud Computing." International Journal of Computer Science and Information Technology 7, no. 6 (December 31, 2015): 155–64. http://dx.doi.org/10.5121/ijcsit.2015.7613.

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Sobolewski, Michael, and Raymond M. Kolonay. "Federated Grid Computing with Interactive Service-oriented Programing." Concurrent Engineering 14, no. 1 (March 2006): 55–66. http://dx.doi.org/10.1177/1063293x06064148.

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Fantechi, Alessandro, Stefania Gnesi, Alessandro Lapadula, Franco Mazzanti, Rosario Pugliese, and Francesco Tiezzi. "A logical verification methodology for service-oriented computing." ACM Transactions on Software Engineering and Methodology 21, no. 3 (June 2012): 1–46. http://dx.doi.org/10.1145/2211616.2211619.

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Zhang, Yuanyu, Yulong Shen, Hua Wang, Yanchun Zhang, and Xiaohong Jiang. "On Secure Wireless Communications for Service Oriented Computing." IEEE Transactions on Services Computing 11, no. 2 (March 1, 2018): 318–28. http://dx.doi.org/10.1109/tsc.2015.2478453.

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