End-to-End Policy Monitoring and Enforcement for Service-Oriented Architecture

Azarmi, Mehdi; Bhargava, Bharat

doi:10.1109/cloud.2017.17

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…However, the service of chain includes an end-to-end supplication that may not be observable to the several clients. Therefore, any kind of client violation policies may stay undetected and to address these type of challenges in SOA, in paper [13] they provided several contributions. Primary, they proposed a novel end-to-end architectural security for the SOA based combined dynamic trust model, and in order to continue the dynamic trust, they designed a third party trusted service that called as the component of trust manager, which generally collects the data and processes the acquired feedbacks from the authentic service execution.…”

Section: Literature Surveymentioning

confidence: 99%

Cloud Computing Model for Agricultural Applications

Vimala¹,

Ranjan²

2019

IJRTE

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There are major advancements in the technological fields, which include the smart farming with the IoT, Big-data, Cloud-service oriented architectures along with the internet etc. While considering the current situation in the field of agriculture, there are many issues being faced. Some of the major problems are climatic-changes, lack of the fresh-water availability, much barren lands and decrease in the farming lands, less power availability, etc. The agricultural architecture that are cloud-based or the cloud-service oriented architecture includes the monitoring of farming and the warehousing-information. In this paper, we provide a work on IoT, aerial images and SOA and how they can be applied on the large and the smart farming systems, which is scalable and that can be easily configured. An event-driven SOA is necessary to facilitate the flawless and significant information and integration of distributed and heterogeneous internet agricultural services to help real-time user preferences.

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Section: Literature Surveymentioning

confidence: 99%