Jaydeep Das
Indian Institute of Technology Kharagpur
14 Papers
23 Citations
Jaydeep Das is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 5, co-authored 11 publications. Previous affiliations of Jaydeep Das include Indian Institutes of Technology.
Chat about Author
Papers
RESCUE: Enabling green healthcare services using integrated IoT‐edge‐fog‐cloud computing environments
TL;DR: This article proposes an end‐to‐end framework named RESCUE (enabling green healthcare services using integrated iot‐edge‐fog‐cloud computing environments), consisting efficient spatio‐temporal data analytics module for efficient information sharing, and the novel path prediction module incorporates such VGI instances and predicts routes in emergencies avoiding all possible risks.
22
A Learning Technique for VM Allocation to Resolve Geospatial Queries
Jaydeep Das,Arindam Dasgupta,Soumya K. Ghosh,Rajkumar Buyya +3 more
- 01 Jan 2019
TL;DR: The aim of this paper is to distribute workloads of different types of spatial queries into suitable virtual machine efficiently and use real-time geospatial query pattern learning methodology to increase the effectiveness of the system serving geosp spatial queries.
14
Geospatial Edge-Fog Computing: A Systematic Review, Taxonomy, and Future Directions
Jaydeep Das,Soumya K. Ghosh,Rajkumar Buyya +2 more
- 01 Jan 2021
TL;DR: In this article, a taxonomy of edge and fog computing with the geospatial paradigm is presented, and the limitations and future direction of the geosphere-edge and fog-based edge computing are discussed.
13
A Geospatial Orchestration Framework on Cloud for Processing User Queries
Jaydeep Das,Arindam Dasgupta,Soumya K. Ghosh,Rajkumar Buyya +3 more
- 01 Oct 2016
TL;DR: The proposed geographical data query processing framework which orchestrates spatial services according to user query in cloud environment and the empirical experimentation shows the efficiency of the proposed framework to resolve spatial queries in timely manner.
13
Locator: A Cloud-Fog-Enabled Framework for Facilitating Efficient Location based Services
Shreya Ghosh,Jaydeep Das,Soumya K. Ghosh +2 more
- 01 Jan 2020
TL;DR: This work proposes a mobility and delay-aware cloud-fog enabled framework, named LOCATOR, which helps to minimize the service-waiting time and service-provisioning time of location-based services such as food delivery, medical emergency by deploying an optimal matching algorithm in the MapReduce paradigm.
11