Dynamic Data Allocation Scheme for Multi-server Web-Based MORPG System

2010 ◽  
Author(s):  
Masaki Kohana ◽  
Shusuke Okamoto ◽  
Masaru Kamada ◽  
Tatsuhiro Yonekura
Keyword(s):  
Data Allocation ◽  
Allocation Scheme ◽  
Dynamic Data ◽  
Web Based ◽  
Multi Server

scholarly journals Evaluation of a Dynamic Data Allocation Method for Web-Based Multi-Server MORPG System

2010 ◽  
Vol E93.D (12) ◽  
pp. 3173-3180 ◽  
Author(s):  
Masaki KOHANA ◽  
Shusuke OKAMOTO ◽  
Masaru KAMADA ◽  
Tatsuhiro YONEKURA
Keyword(s):  
Data Allocation ◽  
Dynamic Data ◽  
Web Based ◽  
Allocation Method ◽  
Multi Server

scholarly journals Symbolic Gray Code As A Data Allocation Scheme For Two-disc Systems

1992 ◽  
Vol 35 (3) ◽  
pp. 299-305 ◽  
Author(s):  
C. C. Chang ◽  
H. Y. Chen ◽  
C. Y. Chen
Keyword(s):  
Gray Code ◽  
Data Allocation ◽  
Allocation Scheme

Floreon+: A Web-Based Platform for Flood Prediction, Hydrologic Modelling and Dynamic Data Analysis

2017 ◽  
pp. 409-422 ◽  
Author(s):  
Vaclav Svatoň ◽  
Michal Podhoranyi ◽  
Radim Vavřík ◽  
Patrik Veteška ◽  
Daniela Szturcová ◽  
...  
Keyword(s):  
Data Analysis ◽  
Dynamic Data ◽  
Flood Prediction ◽  
Hydrologic Modelling ◽  
Web Based

FluidSMR: Adaptive Management for Hybrid SMR Drives

2021 ◽  
Vol 17 (4) ◽  
pp. 1-30
Author(s):  
Fenggang Wu ◽  
Bingzhe Li ◽  
David H. C. Du
Keyword(s):  
Adaptive Management ◽  
Magnetic Recording ◽  
Disk Drive ◽  
Allocation Scheme ◽  
Performance Impact ◽  
Two Phase ◽  
Dynamic Data ◽  
Management Scheme ◽  
Shingled Magnetic Recording ◽  
Single Disk

Hybrid Shingled Magnetic Recording (H-SMR) drives are the most recently developed SMR drives, which allow dynamic conversion of the recording format between Conventional Magnetic Recording (CMR) and SMR on a single disk drive. We identify the unique opportunities of H-SMR drives to manage the tradeoffs between performance and capacity, including the possibility of adjusting the SMR area capacity based on storage usage and the flexibility of dynamic data swapping between the CMR area and SMR area. We design and implement FluidSMR, an adaptive management scheme for hybrid SMR Drives, to fully utilize H-SMR drives under different workloads and capacity usages. FluidSMR has a two-phase allocation scheme to support a growing usage of the H-SMR drive. The scheme can intelligently determine the sizes of the CMR and the SMR space in an H-SMR drive based on the dynamic changing of workloads. Moreover, FluidSMR uses a cache in the CMR region, managed by a proposed loop-back log policy, to reduce the overhead of updates to the SMR region. Evaluations using enterprise traces demonstrate that FluidSMR outperforms baseline schemes in various workloads by decreasing the average I/O latency and effectively reducing/controlling the performance impact of the format conversion between CMR and SMR.

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