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This paper introduces a new memory scheduling policy called LAMS, which is inspired by a recently proposed memory architecture and targets for future high capacity memory systems. As memory capacity increases, the bit-lines connected to memory row buffers become much longer, dramatically lengthening memory access latency, due to increased parasitic capacitance. Recent study has proposed to partition...
As one kind of storage technology, deduplicaition is widely deployed in all kinds of storage systems. However, the key problems of duplication, such as data throughput and usage of RAM, have not been perfectly addressed. Especially, with the emergence of cloud storage, traditional deduplication methods are not able to adapt to the velocity characteristic of the large data sets. This paper proposes...
Cloud computing has raised new challenges for the membership representation scheme of storage systems that manage very large data sets. This paper proposes DBA, a dynamic Bloom filter array aimed at representing membership for variable large data sets in storage systems in a scalable way. DBA consists of dynamically created groups of space-efficient Bloom filters (BFs) to accommodate changes in set...
This paper proposes a Dynamic Bloom filter Array (DBA) to represent membership for variable large data sets in storage systems in a scalable way. DBA consists of dynamically created groups of space-efficient Bloom Filters (BFs) to accommodate changes in set sizes. In each group, BFs are homogeneous and the data layout is optimized at the bit level, so that they can be accessed in parallel to achieve...
Detecting duplicates over sliding windows is an important technique for monitoring and analysing data streams. Since recording the exact information of elements in a sliding window can be RAM-resource-intensive and introduce an unacceptable search complexity, several approximate membership representation schemes have been proposed to build in-memory fast indices. However, various challenges facing...
Deduplication has been widely used in disk-based secondary storage systems to improve space efficiency. However, there are two challenges facing scalable high-throughput deduplication storage. The first is the duplicate-lookup disk bottleneck due to the large size of data index that usually exceeds the available RAM space, which limits the deduplication throughput. The second is the storage node island...
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