Due to continuous decreasing feature size and increasing device density, on-chip caches have been becoming susceptible to single event upsets, which will result in multi-bit soft errors. The increasing rate of multi-b...Due to continuous decreasing feature size and increasing device density, on-chip caches have been becoming susceptible to single event upsets, which will result in multi-bit soft errors. The increasing rate of multi-bit errors could result in high risk of data corruption and even application program crashing. Traditionally, L1 D-caches have been protected from soft errors using simple parity to detect errors, and recover errors by reading correct data from L2 cache, which will induce performance penalty. This work proposes to exploit the redundancy based on the characteristic of data values. In the case of a small data value, the replica is stored in the upper half of the word. The replica of a big data value is stored in a dedicated cache line, which will sacrifice some capacity of the data cache. Experiment results show that the reliability of L1 D-cache has been improved by 65% at the cost of 1% in performance.展开更多
This paper proposed a novel multilevel data cache model by Web cache （MDWC） based on network cost in data grid. By constructing a communicating tree of grid sites based on network cost and using a single leader for ...This paper proposed a novel multilevel data cache model by Web cache （MDWC） based on network cost in data grid. By constructing a communicating tree of grid sites based on network cost and using a single leader for each data segment within each region, the MDWC makes the most use of the Web cache of other sites whose bandwidth is as broad as covering the job executing site. The experiment result indicates that the MDWC reduces data response time and data update cost by avoiding network congestions while designing on the parameters concluded by the environment of application.展开更多
数据的完整性和可靠性是保证其能被高效访问的关键,尤其是在云存储环境中,数据副本策略是影响系统性能和保障数据可用性的核心。从数据副本布局的角度,提出了基于多属性最优化的数据副本布局策略(Data Replica Layout Strategy based on...数据的完整性和可靠性是保证其能被高效访问的关键,尤其是在云存储环境中,数据副本策略是影响系统性能和保障数据可用性的核心。从数据副本布局的角度,提出了基于多属性最优化的数据副本布局策略(Data Replica Layout Strategy based on Multiple Attribute Optimization,MAO-DRLS)。该策略根据数据的访问热度和存储节点的关键属性特点,为每个数据设置动态的副本数,并选择合适的节点对副本进行布局。实验表明,MAO-DRLS策略能够有效地提升数据副本的利用率,缩短系统的响应时间。展开更多
基金Projects(61472322,61272122)supported by the National Natural Science Foundation of ChinaProject(3102014JSJ0001)supported by the Fundamental Research Funds for the Central Universities,China+1 种基金Project(2013JQ8034)supported by the Natural Science Foundation of Shaanxi Province,ChinaProject(JC20120239)supported by the Basic Research Foundation of NWPU,China
文摘Due to continuous decreasing feature size and increasing device density, on-chip caches have been becoming susceptible to single event upsets, which will result in multi-bit soft errors. The increasing rate of multi-bit errors could result in high risk of data corruption and even application program crashing. Traditionally, L1 D-caches have been protected from soft errors using simple parity to detect errors, and recover errors by reading correct data from L2 cache, which will induce performance penalty. This work proposes to exploit the redundancy based on the characteristic of data values. In the case of a small data value, the replica is stored in the upper half of the word. The replica of a big data value is stored in a dedicated cache line, which will sacrifice some capacity of the data cache. Experiment results show that the reliability of L1 D-cache has been improved by 65% at the cost of 1% in performance.
基金Supported by SEC E-Institute :Shanghai HighIn-stitutions Grid Project
文摘This paper proposed a novel multilevel data cache model by Web cache （MDWC） based on network cost in data grid. By constructing a communicating tree of grid sites based on network cost and using a single leader for each data segment within each region, the MDWC makes the most use of the Web cache of other sites whose bandwidth is as broad as covering the job executing site. The experiment result indicates that the MDWC reduces data response time and data update cost by avoiding network congestions while designing on the parameters concluded by the environment of application.
文摘数据的完整性和可靠性是保证其能被高效访问的关键,尤其是在云存储环境中,数据副本策略是影响系统性能和保障数据可用性的核心。从数据副本布局的角度,提出了基于多属性最优化的数据副本布局策略(Data Replica Layout Strategy based on Multiple Attribute Optimization,MAO-DRLS)。该策略根据数据的访问热度和存储节点的关键属性特点,为每个数据设置动态的副本数,并选择合适的节点对副本进行布局。实验表明,MAO-DRLS策略能够有效地提升数据副本的利用率,缩短系统的响应时间。
