Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructured data. Availability and reliability are the basic properties of the most storage system. Replication which is the simplest redundancy scheme can help the storage system to achieve continuous access. But too much redundancy will not improve the data availability when the amount of replication reaches a certain point. In this paper, an efficient data deduplication method in large-scale distributed storage system is presented. Since good data indexing is very helpful for duplicate detection, the deduplication scheme with Bloom filter array is used for the sake of space and look-up efficiency in distributed storage system
Deduplication in storage systems has gained momentum recently for its capability in reducing data fo...
Deduplication is now widely accepted as an efficient technique for reducing storage costs at the exp...
AbstractBig Data is a frequent generation and updating of large volume of data around the clock acro...
Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructu...
Organizations in every market segment require their storage utilization to optimize and cost-effecti...
As storage capacity requirements grow, storage systems are becoming distributed, and that distributi...
Scale-out distributed storage systems can uphold balanced data growth in terms of capacity and perfo...
As computer systems are taking more and more responsibilities in critical processes, the demand for ...
As data grows exponentially within data centers, cluster deduplication storage systems face challeng...
In this paper, a robust filtering technique, called PC-Filter (PC stands for partition comparison), ...
AbstractReplication is a key technology of distributed storage systems. In this paper, an indirect r...
Now-a-days, the demand of data storage capacity is increasing drastically. Due to more demands of st...
International audienceThis paper is dedicated to data deduplication algorithms and models that lead ...
In this paper, we developed a robust data cleaning technique, called PC-Filter+ (PC stands for part...
Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructu...
Deduplication in storage systems has gained momentum recently for its capability in reducing data fo...
Deduplication is now widely accepted as an efficient technique for reducing storage costs at the exp...
AbstractBig Data is a frequent generation and updating of large volume of data around the clock acro...
Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructu...
Organizations in every market segment require their storage utilization to optimize and cost-effecti...
As storage capacity requirements grow, storage systems are becoming distributed, and that distributi...
Scale-out distributed storage systems can uphold balanced data growth in terms of capacity and perfo...
As computer systems are taking more and more responsibilities in critical processes, the demand for ...
As data grows exponentially within data centers, cluster deduplication storage systems face challeng...
In this paper, a robust filtering technique, called PC-Filter (PC stands for partition comparison), ...
AbstractReplication is a key technology of distributed storage systems. In this paper, an indirect r...
Now-a-days, the demand of data storage capacity is increasing drastically. Due to more demands of st...
International audienceThis paper is dedicated to data deduplication algorithms and models that lead ...
In this paper, we developed a robust data cleaning technique, called PC-Filter+ (PC stands for part...
Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructu...
Deduplication in storage systems has gained momentum recently for its capability in reducing data fo...
Deduplication is now widely accepted as an efficient technique for reducing storage costs at the exp...
AbstractBig Data is a frequent generation and updating of large volume of data around the clock acro...