發(fā)布時(shí)間：2018-11-20 04:47

【摘要】：隨著物聯(lián)網(wǎng)技術(shù)的快速發(fā)展,各種基于物聯(lián)網(wǎng)的應(yīng)用已經(jīng)深入到人們生活的各個(gè)領(lǐng)域,醫(yī)療健康便是其中的熱點(diǎn)領(lǐng)域。醫(yī)療健康物聯(lián)網(wǎng)環(huán)境下的數(shù)據(jù)具有海量、異構(gòu)、難以管理等特點(diǎn),而當(dāng)前的數(shù)據(jù)副本管理機(jī)制結(jié)構(gòu)簡單、可擴(kuò)展性差,不能為用戶提供高效、可靠和安全的數(shù)據(jù)訪問服務(wù)。數(shù)據(jù)副本管理機(jī)制是任何存儲(chǔ)系統(tǒng)的重要組成部分,對(duì)醫(yī)療健康物聯(lián)網(wǎng)環(huán)境下的云存儲(chǔ)系統(tǒng)就更為重要。為了實(shí)現(xiàn)醫(yī)療數(shù)據(jù)存儲(chǔ)的可行性、可靠性和容錯(cuò)性,本文設(shè)計(jì)了基于云存儲(chǔ)的數(shù)據(jù)副本管理機(jī)制,包括數(shù)據(jù)副本的放置策略、選擇策略和一致性維護(hù)策略。就數(shù)據(jù)副本的放置策略而言,根據(jù)醫(yī)療數(shù)據(jù)對(duì)訪問時(shí)間不同層次的要求,提出了p-中心和p-中位模型；定義了新的鄰域搜索函數(shù),并設(shè)計(jì)了相應(yīng)的組合算法；由于用戶訪問方式和網(wǎng)絡(luò)狀態(tài)的動(dòng)態(tài)性,進(jìn)而提出了數(shù)據(jù)副本調(diào)整策略。在考慮當(dāng)前網(wǎng)絡(luò)狀態(tài)和存儲(chǔ)節(jié)點(diǎn)負(fù)載的情況下,設(shè)計(jì)了基于模擬植物生長算法的數(shù)據(jù)副本選擇策略,以提高用戶對(duì)醫(yī)療數(shù)據(jù)的訪問速度。考慮到用戶對(duì)不同數(shù)據(jù)副本的讀寫操作會(huì)導(dǎo)致不一致問題,提出了數(shù)據(jù)副本的一致性維護(hù)策略,使每個(gè)數(shù)據(jù)副本都能響應(yīng)訪問請(qǐng)求,并通過時(shí)間戳機(jī)制避免數(shù)據(jù)副本的更新沖突問題,提高了系統(tǒng)的吞吐量和數(shù)據(jù)訪問的可靠性。最后,對(duì)本文設(shè)計(jì)的基于云存儲(chǔ)的數(shù)據(jù)副本管理機(jī)制進(jìn)行仿真實(shí)現(xiàn)。性能評(píng)價(jià)結(jié)果表明,與原有的數(shù)據(jù)副本管理機(jī)制相比,本文設(shè)計(jì)的機(jī)制不僅可以降低數(shù)據(jù)訪問的時(shí)間延遲和網(wǎng)絡(luò)資源消耗,還實(shí)現(xiàn)了數(shù)據(jù)副本的負(fù)載均衡,同時(shí)提高了數(shù)據(jù)訪問的可行性和可靠性。
[Abstract]:With the rapid development of the Internet of things technology, various applications based on the Internet of things have penetrated into all fields of people's lives, medical and health is one of the hot areas. The data in the medical and health Internet of things environment has the characteristics of magnanimity, heterogeneity and difficulty to manage. However, the current data replica management mechanism is simple in structure and poor in expansibility, which can not provide users with efficient, reliable and secure data access services. Data replica management mechanism is an important part of any storage system, especially for the cloud storage system in the medical and health Internet of things environment. In order to realize the feasibility, reliability and fault tolerance of medical data storage, this paper designs a data replica management mechanism based on cloud storage, including data replica placement strategy, selection strategy and consistency maintenance strategy. According to the requirements of medical data for different levels of access time, the p- center and p- median models are proposed, and a new neighborhood search function is defined, and a corresponding combination algorithm is designed. Because of the dynamic nature of user access mode and network state, a data replica adjustment strategy is proposed. Considering the current network state and storage node load, a data replica selection strategy based on simulated plant growth algorithm is designed to improve user access speed to medical data. Considering that users' reading and writing operations on different data replicas can lead to inconsistencies, a consistency maintenance strategy for data replicas is proposed to enable each data replica to respond to access requests. The update conflict of data replica is avoided by timestamp mechanism, and the system throughput and data access reliability are improved. Finally, the paper simulates the data replica management mechanism based on cloud storage. The performance evaluation results show that compared with the original data copy management mechanism, the mechanism designed in this paper can not only reduce the time delay of data access and network resource consumption, but also realize the load balancing of data copy. At the same time, the feasibility and reliability of data access are improved.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP333;TP391.44;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 劉田甜;李超;胡慶成;張桂剛;;云環(huán)境下多副本管理綜述[J];計(jì)算機(jī)研究與發(fā)展;2011年S3期

相關(guān)博士學(xué)位論文 前1條

1 秦進(jìn);多商品物流網(wǎng)絡(luò)設(shè)計(jì)相關(guān)優(yōu)化模型及算法研究[D];中南大學(xué);2006年

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本文編號(hào)：2343783