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Content Addressable storage optimization for Desktop Virtualization Based Disaster Backup storage System

China Communications 2012年第7期9卷 1-13页

作者： Ruan Li Xiao Lim in Zhu Mingfa State Key Laboratory of Software Development Environment Beijing 100191 P. R. China School of Computer Science and Engineering Beihang University Beijing 100191 P. R. China

This paper proposes a content addres sable storage optimization method, VDeskCAS, for desktop virtualization storage based disaster backup storage system. The method implements a blocklevel storage optimization, by employing the algorithms of chunking image file into blocks, the blockffmger calculation and the block dedup li cation. A File system in Use Space （FUSE） based storage process for VDeskCAS is also introduced which optimizes current direct storage to suit our content addressable storage. An interface level modification makes our system easy to extend. Experiments on virtual desktop image files and normal files verify the effectiveness of our method and above 60% storage volume decrease is a chieved for Red Hat Enterprise Linux image files. Key words： disaster backup; desktop virtualization; storage optimization; content addressable storage

关键词： disaster backup desktop virtualization storage optimization content addressable storage

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optimization of storage Performance for Generic Tiered Warehouse by Genetic Algorithm

Optimization of Storage Performance for Generic Tiered Wareh...

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第26届中国控制与决策会议

作者： Shu-an Liu Jiawei Sun Qing Wang Faculty of Information Science and Engineering Northeastern University

A generic tiered warehouse（GTW） often features in adaptive layout and diversified efficiencies of transportation equipments or devices and so on. The storage optimization in GTW usually involves in storage allocation or assignment, transportation batching, routing and operational efficiency as well, which is comparably complicated more than in an automated storage and retrieval system（AS/RS）. This paper considered GTW optimization problems of allocating the storages for inventory replenishment and order picking with known warehousing plan, and two optimization models were designed, respectively. The objective is to minimize the operational distance of warehousing equipments subject to the constraints of storage strategy, location loading capacity, carrying capacity of warehousing equipments, goods demands, etc. To solve the models, a dedicated Genetic Algorithm was designed, which embeds with heuristic algorithm. The problem solving consists of two structural phases: storage allocation or order picking with GA and transportation batching or routing solved with knapsack-based method, where heuristic and enumeration strategies are applied. The simulation experiments were implemented with the data in practical business and the results verified the effectiveness and efficiency of the proposed models and the designed algorithms.

关键词： Generic Tiered Warehouse storage optimization Knapsack Problem Heuristics Genetic Algorithm.

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Lightweight storage Framework for Blockchain-Enabled Internet of Things Under Cloud Computing

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Computers, Materials & Continua 2023年第5期75卷 3607-3624页

作者： Xinyi Qing Baopeng Ye Yuanquan Shi Tao Li Yuling Chen Lei Liu School of Computer and Artificial Intelligence Huaihua CollegeHuaihua418000China Guizhou Science and Technology Innovation Service Center Co Guiyang550000China Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua418000China State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550000China

Due to its decentralized,tamper-proof,and trust-free characteristics,blockchain is used in the Internet of Things(IoT)to guarantee the reliability of ***,some technical flaws in blockchain itself prevent the development of these applications,such as the issue with linearly growing storage capacity of blockchain *** the other hand,there is a lack of storage resources for sensor devices in IoT,and numerous sensor devices will generate massive data at ultra-high speed,which makes the storage problem of the IoT enabled by blockchain more *** are various solutions to reduce the storage burden by modifying the blockchain’s storage policy,but most of them do not consider the willingness of *** attempt to make the blockchain more compatible with the IoT,this paper proposes a storage optimization scheme that revisits the system data storage problem from amore practically oriented *** will only store transactional data that they are directly involved *** addition,a transaction verification model is developed to enable peers to undertake transaction verification with the aid of cloud computing,and an incentive mechanism is premised on the storage optimization scheme to assure data *** results of the simulation experiments demonstrate the proposed scheme’s advantage in terms of storage and throughput.

关键词： Blockchain internet of things storage optimization transaction verification cloud computing incentive mechanism

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