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- research-articleJuly 2024
Enabling privacy-aware interoperable and quality IoT data sharing with context
- Tek Raj Chhetri,
- Chinmaya Kumar Dehury,
- Blesson Varghese,
- Anna Fensel,
- Satish Narayana Srirama,
- Rance J. DeLong
Future Generation Computer Systems (FGCS), Volume 157, Issue CPages 164–179https://doi.org/10.1016/j.future.2024.03.039AbstractSharing Internet of Things (IoT) data across different sectors, such as in smart cities, becomes complex due to heterogeneity. This poses challenges related to a lack of interoperability, data quality issues and lack of context information, and a ...
Highlights- Data quality, accuracy, and interoperability are challenges for IoT data sharing.
- An interoperable framework to enable quality and accurate IoT data sharing.
- A new trust metric is proposed as intrinsic to the shared data.
- A ...
- research-articleMarch 2024
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions
- Abhishek Hazra,
- Andrea Morichetta,
- Ilir Murturi,
- Lauri Lovén,
- Chinmaya Kumar Dehury,
- Víctor Casamayor Pujol,
- Praveen Kumar Donta,
- Schahram Dustdar
This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning (ZTP) for edge networks. Several advantages are also highlighted that come with incorporating DAI into ZTP in the context of edge networks. Further, we draw ...
- research-articleJune 2024
Def-DReL: Towards a sustainable serverless functions deployment strategy for fog-cloud environments using deep reinforcement learning
AbstractModern cloud applications are composed of tens of thousands of environment-agnostic serverless functions that can be deployed in either a fog or cloud environment. The key to sustaining fog computing is to offload the maximum amounts of ...
Highlights- DRL-based serverless function deployment mechanism in fog and cloud environments.
- Functions’ parameters (e.g. short runtime, memory demand) are taken into account.
- Emphasizing the end-users requests based on their distance and ...
- research-articleJanuary 2024
HeRAFC: Heuristic resource allocation and optimization in MultiFog-Cloud environment
Journal of Parallel and Distributed Computing (JPDC), Volume 183, Issue Chttps://doi.org/10.1016/j.jpdc.2023.104760AbstractBy bringing computing capacity from a remote cloud environment closer to the user, fog computing is introduced. As a result, users can access the services from more nearby computing environments, resulting in better quality of service and lower ...
Highlights- The resource allocation problem in a multifog-cloud environment is studied.
- The physical infrastructure of multifog-cloud is modeled using graph theory.
- The resource allocation problem is formulated with a mixed ILP model.
- The ...
- editorialSeptember 2023
- research-articleMay 2022
Serverless data pipeline approaches for IoT data in fog and cloud computing
Future Generation Computer Systems (FGCS), Volume 130, Issue CPages 91–105https://doi.org/10.1016/j.future.2021.12.012AbstractWith the increasing number of Internet of Things (IoT) devices, massive amounts of raw data is being generated. The latency, cost, and other challenges in cloud-based IoT data processing have driven the adoption of Edge and Fog ...
Highlights- Exhibits Serverless Data Pipelines (SDP) deployed in three layered IoT architectures.
- research-articleApril 2022
TOSCAdata: Modeling data pipeline applications in TOSCA
Journal of Systems and Software (JSSO), Volume 186, Issue Chttps://doi.org/10.1016/j.jss.2021.111164AbstractThe serverless platform allows a customer to effectively use cloud resources and pay for the exact amount of used resources. A number of dedicated open source and commercial cloud data management tools are available to handle the ...
- research-articleFebruary 2020
Personalized Service Delivery using Reinforcement Learning in Fog and Cloud Environment
iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & ServicesPages 522–529https://doi.org/10.1145/3366030.3366055The ability to fulfil the resource demand in runtime is encouraging the businesses to migrate to cloud. Recently, to provide real-time cloud services and to save network resources, fog computing is introduced. To further improve the quality of service ...
- research-articleSeptember 2016
Design and implementation of a novel service management framework for IoT devices in cloud
Journal of Systems and Software (JSSO), Volume 119, Issue CPages 149–161https://doi.org/10.1016/j.jss.2016.06.059A service management platform for the IoT devices in Cloud is designed.Proposed Cloud platform can serve the real and non-real time data efficiently.The framework can provide services to maximum number of Application handlers.Docker container for ...