The Subset Assignment Problem for Data Placement in Caches

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R-NUCA: Data Placement in Distributed Shared Caches

Increases in on-chip communication delay and the large working sets of commercial and scientific workloads complicate the design of the on-chip last-level cache for multicore processors. The large working sets favor a shared cache design that maximizes the aggregate cache capacity and minimizes off-chip memory requests. At the same time, the growing on-chip communication delay favors core-priva...

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We consider the data placement problem introduced by Baev & Rajaraman [1]. We have a set of caches, F , a set of data objects O, and a set of clients D. Each object s ∈ O has a length ls and a cache i ∈ F has capacity ui that limits the total length of data objects that may be stored in the cache. Further, each client j ∈ D has demand dj for a specific data object s(j) ∈ O and has to be assigne...

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Eviction-based Cache Placement for Storage Caches

Most previous work on buffer cache management uses an access-based placement policy that places a data block into a buffer cache at the block’s access time. This paper presents an eviction-based placement policy for a storage cache that usually sits in the lower level of a multi-level buffer cache hierarchy and thereby has different access patterns from upper levels. The main idea of the evicti...

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Adaptive Dynamic Data Placement Algorithm for Hadoop in Heterogeneous Environments

Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...

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ژورنال

عنوان ژورنال: Algorithmica

سال: 2018

ISSN: 0178-4617,1432-0541

DOI: 10.1007/s00453-017-0403-4