Large-scale analysis of docker images and performance implications for container storage systems
Docker containers have become a prominent solution for supporting modern enterprise
applications due to the highly desirable features of isolation, low overhead, and efficient …
applications due to the highly desirable features of isolation, low overhead, and efficient …
Efficient container assignment and layer sequencing in edge computing
Containers are becoming a popular way of running applications in edge computing. Before
running the application, the edge node must download the application's container image …
running the application, the edge node must download the application's container image …
The dilemma between deduplication and locality: Can both be achieved?
Data deduplication is widely used to reduce the size of backup workloads, but it has the
known disadvantage of causing poor data locality, also referred to as the fragmentation …
known disadvantage of causing poor data locality, also referred to as the fragmentation …
Building a high-performance fine-grained deduplication framework for backup storage with high deduplication ratio
Fine-grained deduplication, which first removes identical chunks and then eliminates
redundancies between similar but non-identical chunks (ie, delta compression), could …
redundancies between similar but non-identical chunks (ie, delta compression), could …
LOFS: A lightweight online file storage strategy for effective data deduplication at network edge
G Cheng, D Guo, L Luo, J Xia… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge computing responds to users' requests with low latency by storing the relevant files at
the network edge. Various data deduplication technologies are currently employed at edge …
the network edge. Various data deduplication technologies are currently employed at edge …
When deduplication meets migration: An efficient and adaptive strategy in distributed storage systems
G Cheng, L Luo, J Xia, D Guo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The traditional migration methods are confronted with formidable challenges when data
deduplication technologies are incorporated. First, the deduplication creates data-sharing …
deduplication technologies are incorporated. First, the deduplication creates data-sharing …
From hyper-dimensional structures to linear structures: Maintaining deduplicated data's locality
Data deduplication is widely used to reduce the size of backup workloads, but it has the
known disadvantage of causing poor data locality, also referred to as the fragmentation …
known disadvantage of causing poor data locality, also referred to as the fragmentation …
Exploring the unchartered space of container registry typosquatting
With the increasing popularity of containerized applications, container registries have hosted
millions of repositories that allow developers to store, manage, and share their software …
millions of repositories that allow developers to store, manage, and share their software …
Inde: An inline data deduplication approach via adaptive detection of valid container utilization
Inline deduplication removes redundant data in real-time as data is being sent to the storage
system. However, it causes data fragmentation: logically consecutive chunks are physically …
system. However, it causes data fragmentation: logically consecutive chunks are physically …
Secure and efficient data deduplication in jointcloud storage
D Zhang, J Le, N Mu, J Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Data deduplication can efficiently eliminate data redundancies in cloud storage and reduce
the bandwidth requirement of users. However, most previous schemes depending on the …
the bandwidth requirement of users. However, most previous schemes depending on the …