Accelerating Data Delivery Service with Collaborated Parallel Traffic Scheduling for Distributed Datacenters
- Resource Type
- Conference
- Authors
- Cao, Xiaoyuan; Luan, Kai; Luo, Xiang; Bian, Qiang; Li, Zhi; Ning, Yang; Miao, Xinkai
- Source
- 2021 IEEE 21st International Conference on Communication Technology (ICCT) Communication Technology (ICCT), 2021 IEEE 21st International Conference on. :306-312 Oct, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Adaptation models
Mesh networks
Fluctuations
Scheduling algorithms
Conferences
Distributed databases
Reliability engineering
distributed datacenter
data delivery
cache node
software-defined networking
- Language
- ISSN
- 2576-7828
In this paper, we propose a novel data delivery mechanism with accelerated service provisioning for the metro-embedded distributed datacenters. Data are divided into multiple slices and simultaneously transmitted along different paths in parallel, with the en-route datacenters selectively utilized as cache nodes for shared and collaborated data transit. A traffic scheduling algorithm based on the adapted minimax ILP model is proposed to allocate the optimal amount of data slices for each path with cache nodes. The evaluation results demonstrate an over 80% reduction of the total data delivery time. Our proposed mechanism is expected to provide efficient and reliable data services in future datacenter networks.