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Improvement of Deduplication Efficiency by Two Layers Deduplication System

IEEJ Transactions on Electronics, Information and Systems, 2014
SUMMARYThis paper proposes a two‐layer deduplication system for the backup process in an IT environment. The proposed system implements two chunk sizes in a descendent way and activates them simultaneously in a sequence. They eliminate duplicated parts among backup target data more efficiently than any conventional single‐layer deduplication system ...
MIKITO OGATA, NORIHISA KOMODA
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Metadedup: Deduplicating Metadata in Encrypted Deduplication via Indirection

2019 35th Symposium on Mass Storage Systems and Technologies (MSST), 2019
Encrypted deduplication combines encryption and deduplication in a seamless way to provide confidentiality guarantees for the physical data in deduplication storage, yet it incurs substantial metadata storage overhead due to the additional storage of keys.
Jingwei Li 0001   +3 more
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Deduplication overlay network

2017 IEEE 16th International Symposium on Network Computing and Applications (NCA), 2017
Video content makes up more than half of the world's Internet traffic, and this figure is expected to grow rapidly. New techniques that remove traffic redundancy have been shown to significantly improve network performance since many concurrent streams deliver the same video. These techniques employ smart routers that recognize duplicated video streams
Akpinar, Kutalmis, Hua, Kien A.
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Demystifying data deduplication

Proceedings of the ACM/IFIP/USENIX Middleware '08 Conference Companion, 2008
Effectiveness and tradeoffs of deduplication technologies are not well understood -- vendors tout Deduplication as a "silver bullet" that can help any enterprise optimize its deployed storage capacity. This paper aims to provide a comprehensive taxonomy and experimental evaluation using real-world data.
NagaPramod Mandagere   +3 more
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Adaptive pipeline for deduplication

012 IEEE 28th Symposium on Mass Storage Systems and Technologies (MSST), 2012
Deduplication has become one of the hottest topics in the field of data storage. Quite a few methods towards reducing disk I/O caused by deduplication have been proposed. Some methods also have been studied to accelerate computational sub-tasks in deduplication.
Jingwei Ma   +3 more
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Deduplicating a places database

Proceedings of the 23rd international conference on World wide web, 2014
We consider the problem of resolving duplicates in a database of places, where a place is defined as any entity that has a name and a physical location. When other auxiliary attributes like phone and full address are not available, deduplication based solely on names and approximate location becomes an exceptionally challenging problem that requires ...
Nilesh N. Dalvi   +3 more
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Online Deduplication for Databases

Proceedings of the 2017 ACM International Conference on Management of Data, 2017
dbDedup is a similarity-based deduplication scheme for on-line database management systems (DBMSs). Beyond block-level compression of individual database pages or operation log (oplog) messages, as used in today's DBMSs, dbDedup uses byte-level delta encoding of individual records within the database to achieve greater savings.
Lianghong Xu   +3 more
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Distributed data deduplication

Proceedings of the VLDB Endowment, 2016
Data deduplication refers to the process of identifying tuples in a relation that refer to the same real world entity. The complexity of the problem is inherently quadratic with respect to the number of tuples, since a similarity value must be computed for every pair of tuples.
Xu Chu, Ihab F. Ilyas, Paraschos Koutris
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Transparent Data Deduplication in the Cloud

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015
Cloud storage providers such as Dropbox and Google drive heavily rely on data deduplication to save storage costs by only storing one copy of each uploaded file. Although recent studies report that whole file deduplication can achieve up to 50% storage reduction, users do not directly benefit from these savings-as there is no transparent relation ...
Armknecht, Frederik   +3 more
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Entity Deduplication on ScholarlyData

2017
ScholarlyData is the new and currently the largest reference linked dataset of the Semantic Web community about papers, people, organisations, and events related to its academic conferences. Originally started from the Semantic Web Dog Food (SWDF), it addressed multiple issues on data representation and maintenance by (i) adopting a novel data model ...
Ziqi Zhang 0001   +2 more
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