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In the post-pandemic era, global work patterns have been reshaped, and the demand for cloud migration for enterprises and government has increased. As a result, cloud data disaster backup/recovery technology has been gaining more attention. Moving beyond the traditional focus on pre-disaster content backup, our study addresses the challenge of rapidly evacuating content during cascading failures in post-disaster scenarios. Due to the interdependence of i) data centers (DCs), ii) inter-DC optical networks, and iii) power grid networks, disasters can have a domino effect on these infrastructures, with their impact gradually expanding over time and space. In this work, we propose two trajectory models for constructing the spatio-temporal features of the inter-DC optical network under cascading failures, and we propose a trajectory-based content evacuation strategy (TCE). Numerical results show that TCE can reduce content loss by up to 25% compared to baseline content evacuation strategies.
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This content will become publicly available on May 16, 2026
Trajectory-based post-disaster content evacuation in inter-DC optical networks under cascading failures
In the post-pandemic era, global working patterns have been reshaped, and the demand for online network services has increased significantly. Therefore, cross-data-center content migration has become a relevant problem to address, leading to higher attention in data backup/recovery planning. Beyond traditional pre-disaster content redundancy approaches, this work focuses on the challenge of rapid post-disaster content evacuation under the threat of cascading failures. In fact, due to the interdependence of data centers (DCs), inter-DC optical networks, and power grid networks, disasters may have a domino effect on these infrastructures, with their impact gradually expanding over time and space. In this paper, we propose two trajectory models that capture the dynamic evolution of cascading failures, and we propose a trajectory-based content evacuation (TCE) strategy that considers the spatiotemporal evolution of cascading failures to minimize content loss. Numerical results show that, when each DC needs to evacuate about 200 TB of massive content, TCE can reduce content loss by up to 25% compared to baseline strategies.
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- Award ID(s):
- 2210384
- PAR ID:
- 10591002
- Publisher / Repository:
- Optical Society of America
- Date Published:
- Journal Name:
- Journal of Optical Communications and Networking
- Volume:
- 17
- Issue:
- 6
- ISSN:
- 1943-0620; JOCNBB
- Format(s):
- Medium: X Size: Article No. B38
- Size(s):
- Article No. B38
- Sponsoring Org:
- National Science Foundation
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