HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Scheduling Continuous Operators for IoT Edge Analytics

Abstract : In this paper we are interested in exploring the Edge-Fog-Cloud architecture as an alternative approach to the Cloud-based IoT data analytics. Given the limitations of Fog in terms of limited computational resources that can also be shared among multiple analytics with continuous operators over data streams, we introduce a holistic cost model that accounts both the network and computational resources available in the Edge-Fog-Cloud architecture. Then, we propose scheduling algorithms RCS and SOO-CPLEX for placing continuous operators for data stream analytics at the network edge. The former dynamically places continuous operators between the Cloud and the Fog according to the evolution of data streams rates and uses as less as possible Fog computational resources to satisfy the constraints regarding the usage of both computational and network resources. The latter statically places continuous operators between the Cloud and the Fog to minimize the overall computational and network resource usage cost. Based on thorough experiments, we evaluate the effectiveness of SOO-CPLEX and RCS using simulation.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-03208518
Contributor : Patient Ntumba Wa Ntumba Connect in order to contact the contributor
Submitted on : Monday, June 7, 2021 - 8:03:22 PM
Last modification on : Friday, February 4, 2022 - 3:20:31 AM

File

EdgeSys2021_pntumba_et_al.pdf
Publisher files allowed on an open archive

Identifiers

Collections

Citation

Patient Ntumba, Nikolaos Georgantas, Vassilis Christophides. Scheduling Continuous Operators for IoT Edge Analytics. EdgeSys '21 - 4th International Workshop on Edge Systems, Analytics and Networking colocated with EuroSys'21, Apr 2021, Online United Kingdom, United Kingdom. pp.55-60, ⟨10.1145/3434770.3459738⟩. ⟨hal-03208518v2⟩

Share

Metrics

Record views

189

Files downloads

175