Simultaneous service selection for multiple composite service requests: A combinatorial auction approach

Moghaddam, Mahboobeh; Davis, Joseph G.

doi:10.1016/j.dss.2019.03.005

Cited by 8 publications

(4 citation statements)

References 60 publications

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“…Reference [27] proposed a composite service selection (CSS) approach to address the configuration that involves multiple simultaneous requests for the composite service. The authors selected various service combinations in a multi-cloud environment.…”

Section: Multiple Clouds For Multiple Service Selectionsmentioning

confidence: 99%

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LM2K Model for Hosting an Application Based on Microservices in Multi-Cloud

Carvalho

Vieira

Rodrigues

et al. 2023

Sensors

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Cloud computing has become a popular delivery model service, offering several advantages. However, there are still challenges that need to be addressed when applying the cloud model to specific scenarios. Two of such challenges involve deploying and executing applications across multiple providers, each comprising several services with similar functionalities and different capabilities. Therefore, dealing with application distributions across various providers can be a complex task for a software architect due to the differing characteristics of the application components. Some works have proposed solutions to address the challenges discussed here, but most of them focus on service providers. To facilitate the decision-making process of software architects, we previously presented PacificClouds, an architecture for managing the deployment and execution of applications based on microservices and distributed in a multi-cloud environment. Therefore, in this work, we focus on the challenges of selecting multiple clouds for PacificClouds and choosing providers that best meet the microservices and software architect requirements. We propose a selection model and three approaches to address various scenarios. We evaluate the performance of the approaches and conduct a comparative analysis of them. The results demonstrate their feasibility regarding performance.

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Section: Multiple Clouds For Multiple Service Selectionsmentioning

confidence: 99%

“…After each ant has created a solution, the algorithm identifies the best one for that iteration. Then, it updates the pheromone according to the best solution and according to τ, as shown in (27). We calculated τ based on ρ and the combination score.…”

Section: Ant Colony Algorithmmentioning

confidence: 99%

LM2K Model for Hosting an Application Based on Microservices in Multi-Cloud

Carvalho

Vieira

Rodrigues

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…Searching for the suitable web services out of all the available ones in large-scale distributed federation-like entities can be very computationally complex [12]. Besides the selection criteria to be defined, it should also try to: i) respect the individual requirements and technology restrictions of every single BP's activity against the ones supported by every single candidate service; and ii) respect the end-to-end QoS of the entire BP all those activities are related to [13].…”

Section: Dynamic Services Discoverymentioning

confidence: 99%

For a Dynamic Web Services Discovery Model for Open Ecosystems of Software Providers

Rabelo

Ruiz

Cancian

2020

Boosting Collaborative Networks 4.0

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With the increasing adoption of business models relaying on Cloud Computing, digital platforms and servitization, IT providers have been transforming their solutions into services-based, having as a goal facilitating their binding to clients' applications. In this formed wide and open service-oriented environment, classical static services binding approaches are limited to support the business dynamics of Virtual Organizations (VO). As services would assure VO members' systems operation, a bad services selection may hazard that. We argue, though, that services selection criteria, largely based on QoS and costs, are not enough to provide higher confidence to VO members when selecting services from such open ecosystem of service providers. In this line, this paper proposes a more comprehensive and multi-criteria decision-making model for dynamic services discovery. A prototype has been implemented and results are discussed.

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“…8 Selection of task or service is very important while crowdsourcing. 9 The task and worker matching is a major issue in crowdsourcing. 10 If the offered task has been assigned to an inappropriate worker, it will not only affect the quality of the result but also waste many valuable resources such as time, money, and the client's trust.…”

mentioning

confidence: 99%

Crowdsourcing usage, task assignment methods, and crowdsourcing platforms: A systematic literature review

ZhenYing

KhanAbdullah

Nazir

et al. 2021

J Software Evolu Process

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Crowdsourcing is simply the outsourcing of different tasks or work to a diverse group of individuals in an open call for the purpose of utilizing human intelligence.Crowdsourcing nowadays used to support and enhance software engineering in different aspects. In this proposed study, a systematic literature review was conducted for the last 10 years from 2010 to 2019. During the filtering process, a total of 120 relevant studies have been identified, and then the most relevant 70 studies were selected to include as part of the current study. The proposed study shows the effect of task assignment in crowdsourcing, such as if a task is assigned to an appropriate worker or an inappropriate worker, what will be the consequences.The study also highlights crowdsourcing usage in the field of software engineering.All the existing task assignment methods used for assigning the task to make crowdsourcing activity more effective have been analyzed. The study also highlights all the available crowdsourcing platforms used for a variety of task to be performed.The study concludes by identifying the issues regarding the task assignment and to specify the methods for enhancement in the assignment of tasks for future research in crowdsourcing.

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Simultaneous service selection for multiple composite service requests: A combinatorial auction approach

Cited by 8 publications

References 60 publications

LM2K Model for Hosting an Application Based on Microservices in Multi-Cloud

LM2K Model for Hosting an Application Based on Microservices in Multi-Cloud

For a Dynamic Web Services Discovery Model for Open Ecosystems of Software Providers

Crowdsourcing usage, task assignment methods, and crowdsourcing platforms: A systematic literature review

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