Enterprise service composition models in IoT context: solutions comparison

Safaei, Alireza; Nassiri, Ramin; Rahmani, Amir Masoud

doi:10.1007/s11227-021-03873-7

Cited by 10 publications

(8 citation statements)

References 47 publications

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“…A. Souri et al [43] presented a hybrid formal verification approach to assess the service composition in multicloud environments targeted at reducing the number of clouds of a service request and meeting the required level of quality of service (QoS). Other service composition methods we introduce in "Simulation and comparisons" section include All-C [44][45][46], Bas-C [44][45][46], Smt-C [44][45][46], Swm-C [47], and Fast-C [48].…”

Section: Related Workmentioning

confidence: 99%

“…In this section, we will compare our method GA-C with All-C [44][45][46], Bas-C [44][45][46], Smt-C [44][45][46], Swm-C [47], and Fast-C [48].…”

Section: Simulation Environmentmentioning

confidence: 99%

“…Swm-C [47]: Apply the swarm algorithm to the discrete optimization problem of service composition. In a multicloud environment, consider the QoS of service requests to select clouds and related services.…”

Section: Simulation Environmentmentioning

confidence: 99%

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Service composition considering energy consumption of users and transferring files in a multicloud environment

Zhu

2023

J Cloud Comp

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In the internet and cloud environment, service composition is always used to enhance the function and processing ability of clouds. Those clouds work together for a user and provide different functions. A service request may involve multiple clouds. The past work focuses on the method of service composition and ignores the energy composition when files are transferred between clouds, including the energy consumption for transferring files (sending files from the user to the cloud and receiving files from the cloud to the user) of the user. The paper models the service composition in a multicloud environment. Based on those models, we use the GA (genetic algorithm) algorithm (GA-C) to solve the service composition problem with multiple targets in a multicloud environment. Simulation results show that the GA-C can: (1) reduce the average number of involved clouds and the energy consumption between clouds, and (2) reduce the energy consumption of the user and the failure rate of service composition.

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Section: Related Workmentioning

confidence: 99%

“…In this section, we will compare our method GA-C with All-C [44][45][46], Bas-C [44][45][46], Smt-C [44][45][46], Swm-C [47], and Fast-C [48].…”

Section: Simulation Environmentmentioning

confidence: 99%

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Service composition considering energy consumption of users and transferring files in a multicloud environment

Zhu

2023

J Cloud Comp

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“…For the Technical aspect, the sub-aspects previously discussed include service composition in the cloud [6] and industrial environments [196], composition service types, attributes, domains of application [3], composition planning and strategies [11] [195] [228], composition platforms [213], and composition models, techniques, and tools [177] [217]. However, none of these efforts have addressed some Technical sub-aspects, including stakeholders' concerns regarding service composition (RQ5).…”

Section: B Technical Gapsmentioning

confidence: 99%

IoT Capabilities Composition and Decomposition: A Systematic Review

et al. 2023

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As billions of IoT devices join the Internet, researchers and innovators increasingly explore IoT capabilities achieved via service composition or reuse of existing capabilities via service decomposition. Many systematic literature reviews (SLRs) were produced on this subject; however, two issues remain to be addressed: i) a reference taxonomy of the different aspects of IoT capabilities composition and decomposition is needed, and ii) many formal questions (e.g., standards role, formal representations applications, state-space explosion countermeasures, etc.), technical questions (e.g., composition process types and automation levels synergies, service decomposition categories, the role of AI/ML, etc.), and QoS questions (e.g., privacy, interoperability, and scalability challenges and solutions, etc.) remain unanswered. We introduce this work by discussing notions of IoT capabilities composition and decomposition in a layered IoT architecture while highlighting the strengths and weaknesses of existing SLRs. We identify unanswered questions through gaps in related work and motivate these questions using the PICOC methodology. We explain the search methodology and organize the topic questions using the proposed reference taxonomy. The identified research questions are answered, and trends and gaps that need additional attention from the research community are highlighted. This effort benefits city planners and end-users of IoT systems as it contributes to a better understanding of the role of composition and decomposition of IoT capabilities in building valueadded services or reusing existing ones for resource optimization. For researchers, this effort contributes a reference taxonomy for the topic and sheds light on important questions while highlighting corresponding trends and gaps requiring further attention.

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“…TOGAF is a more popular EA framework among others as it is easy to understand and provides a clear process for implementation (Bouafia and Molnár, 2019; Anggraini et al , 2019). It is used by most of the organizations to develop business values and proficiency, and provides a global approach for designing suitable services (Safaei et al , 2022). It has been found as the most reliable EA in the world in which 80% of the companies from the list of 50 global companies use it (Kotusev, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Enterprise architecture for the transformation of public services based on citizen’s feedback

Singh,

Lynch,

Helfert

2023

DPRG

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Purpose Current literature argues that citizen engagement platforms must be used to gather citizens’ feedback to provide improved quality of services to citizens. However, limited studies consider the challenges faced by practitioners at the local level during the incorporation of those feedback for continuous service improvement. As a result, these services fail to fulfil the need of citizens. The purpose of this study is to structure the relationship between citizens’ feedback and continuous service improvement to meet the need of citizens. Design/methodology/approach Design science research methodology has been adapted under which a case study approach has been followed to investigate one of the citizens’ engagement platforms in Ireland. Findings The results from this study highlighted that practitioners faced challenges (e.g. capacity, risk and constraints) in terms of fulfilling the needs of citizens and there is a lack of structured approach to continuously provide improved services to them. Research limitations/implications This study provides a structured approach in the form of a process model to showcase how citizens’ feedback can be incorporated for continuously providing improved services to the citizens. Social implications This research provides a prescriptive view to assist municipalities during the incorporation of citizens’ feedback for continuous service improvement while addressing the challenges they face during this process. Originality/value This paper proposes a process model based on the guidelines of the open group architecture framework enterprise architecture and the collaboration with practitioners that would assist local authorities in continuously providing improved services to the citizens.

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Enterprise service composition models in IoT context: solutions comparison

Cited by 10 publications

References 47 publications

Service composition considering energy consumption of users and transferring files in a multicloud environment

Service composition considering energy consumption of users and transferring files in a multicloud environment

IoT Capabilities Composition and Decomposition: A Systematic Review

Enterprise architecture for the transformation of public services based on citizen’s feedback

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