Titlebook: Service-Oriented Computing; 18th International C Eleanna Kafeza,Boualem Benatallah,Hamid Motahari Conference proceedings 2020 Springer Natu

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A Dynamic Cost Model to Minimize Energy Consumption and Processing Time for IoT Tasks in a Mobile Ed tend to offload task processing to remote Data Centers in the Cloud, distant from end-users, increasing communication latency and energy costs. In such a context, this work proposes a dynamic cost model to minimize energy consumption and total elapsed time for IoT devices in Mobile Edge Computing e

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Automated SLA Negotiation in a Dynamic IoT Environment - A Metaheuristic ApproachBy adopting a service-oriented paradigm, the capabilities of mobile or static devices can be abstracted as IoT services and delivered to users in a demand-driven way. In service environments, a particular service provisioning tends to be specified in a service level agreement (SLA), which can be fur

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PATRIoT: A Data Sharing Platform for IoT Using a Service-Oriented Approach Based on Blockchainr, these IoT data can be sensitive and the data subject wish not share them with other competitor organizations without retaining some level of control. Thus, a privacy-preserving, user-centric, and transparent solution is needed to deal with the challenges of IoT data sharing, such as the loss of c

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Energy Minimization for Cloud Services with Stochastic Requestsn of cloud services has its own unique research problems and challenges. More specifically, it is difficult to select suitable servers for cloud service systems to minimize energy consumption due to the heterogeneity of servers in cloud centers. In this paper, the energy minimization problem is cons

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Impact of Service- and Cloud-Based Dynamic Routing Architectures on System Reliabilityrough a central entity such as an event store, or architectures with multiple dynamic routers. We propose an analytical model of request loss during router and service crashes, as well as an empirical validation of that model. The comparison of the empirical data to the predicted values by our model

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Pricing in the Competing Auction-Based Cloud Market: A Multi-agent Deep Deterministic Policy Gradiend providers need to compete against each other to maximize their profits by setting cloud resource prices based on their pricing strategies. In this paper, we analyze how an auction-based cloud provider sets the auction price effectively when competing against other cloud providers in the evolutiona