Accelerating MapReduce on Commodity Clusters: An SSD-Empowered Approach

2018 ◽  
Vol 4 (3) ◽  
pp. 396-407 ◽  
Author(s):  
Bo Wang ◽  
Jinlei Jiang ◽  
Yongwei Wu ◽  
Guangwen Yang ◽  
Keqin Li
Keyword(s):  
Commodity Clusters

scholarly journals apeNET+: a 3D toroidal network enabling petaFLOPS scale Lattice QCD simulations on commodity clusters

2011 ◽  
Author(s):  
Roberto Ammendola ◽  
Andrea Biagioni ◽  
Ottorino Frezza ◽  
Francesca Lo Cicero ◽  
Alessandro Lonardo ◽  
...  
Keyword(s):  
Lattice Qcd ◽  
Commodity Clusters

scholarly journals Smart Intra-query Fault Tolerance for Massive Parallel Processing Databases

2019 ◽  
Vol 5 (1) ◽  
pp. 65-79
Author(s):  
Yunhong Ji ◽  
Yunpeng Chai ◽  
Xuan Zhou ◽  
Lipeng Ren ◽  
Yajie Qin
Keyword(s):  
Cost Effectiveness ◽  
Fault Tolerance ◽  
Parallel Processing ◽  
Query Processing ◽  
Success Rate ◽  
Database Systems ◽  
Analytical Processing ◽  
Commodity Clusters ◽  
Massive Parallel Processing ◽  
Query Latency

AbstractIntra-query fault tolerance has increasingly been a concern for online analytical processing, as more and more enterprises migrate data analytical systems from mainframes to commodity computers. Most massive parallel processing (MPP) databases do not support intra-query fault tolerance. They may suffer from prolonged query latency when running on unreliable commodity clusters. While SQL-on-Hadoop systems can utilize the fault tolerance support of low-level frameworks, such as MapReduce and Spark, their cost-effectiveness is not always acceptable. In this paper, we propose a smart intra-query fault tolerance (SIFT) mechanism for MPP databases. SIFT achieves fault tolerance by performing checkpointing, i.e., materializing intermediate results of selected operators. Different from existing approaches, SIFT aims at promoting query success rate within a given time. To achieve its goal, it needs to: (1) minimize query rerunning time after encountering failures and (2) introduce as less checkpointing overhead as possible. To evaluate SIFT in real-world MPP database systems, we implemented it in Greenplum. The experimental results indicate that it can improve success rate of query processing effectively, especially when working with unreliable hardware.

Commodity clusters for virtual reality

2003 ◽  
Author(s):  
B. Raffin ◽  
M.K. Zuffo ◽  
H. Kerzmarski ◽  
Zhingeng Pan
Keyword(s):  
Virtual Reality ◽  
Commodity Clusters

scholarly journals KAJIAN PENGEMBANGAN KLASTER KOMODITAS BAWANG MERAH DI KANTOR PERWAKILAN BANK INDONESIA TEGAL

2020 ◽  
Vol 7 (2) ◽  
pp. 153-162
Author(s):  
Anis Solekha ◽  
Andri Widianto ◽  
Anita Karunia
Keyword(s):  
Data Analysis ◽  
Literature Study ◽  
Cluster Development ◽  
Analysis Technique ◽  
Fishbone Diagram ◽  
Representative Office ◽  
The Republic ◽  
Commodity Clusters ◽  
The Stability ◽  
Diagram Analysis

Bank Indonesia (BI) is the Central Bank of the Republic of Indonesia which is responsible for achieving and maintaining the stability of the rupiah value, such as maintaining the stability of volatile food. Volatile food can be maintain using cluster development, one of them is the shallot commodity cluster. This study aimed to determine the development of shallot commodity clusters in the context of controlling inflation at the Tegal Bank Indonesia Representative Office. Data collection techniques used were observation, interviews, and literature study. The data analysis technique used is descriptive qualitative analysis through a fishbone diagram instrument. The results of the fishbone diagram analysis showed the factors that influence the shallot commodity on inflation control in Brebes Regency are farmers, upstream factors, environmental factors, and downstream factors. Shallot is the main contributor to inflation in Brebes district, in 2016 these commodities contributed to inflation by 0.33%, in 2017-2019 commodities contributed to deflation of -0.26%, -0.22274% and -0.0883%. The conclusion is the development of shallot commodity cluster in the context of controlling inflation in the Tegal Bank Indonesia Representative Office using a fishbone diagram instrument considered to be good enough.

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