本文選題：SaaS　切入點(diǎn)：多租戶　出處：《山東大學(xué)》2014年碩士論文

【摘要】：SaaS是通過(guò)因特網(wǎng)向外界提供服務(wù)的軟件運(yùn)營(yíng)模式,利用多租戶技術(shù)支持靈活性租賃和按需定制,作為二十一世紀(jì)云服務(wù)平臺(tái)中的全新型應(yīng)用交付模式,越來(lái)越受到各企業(yè)的追捧。 SaaS平臺(tái)多采用副本技術(shù)提高節(jié)點(diǎn)冗余度,以保障多租戶數(shù)據(jù)的可靠性與可用性。當(dāng)一些數(shù)據(jù)副本出現(xiàn)故障或失敗時(shí),剩余副本能夠繼續(xù)提供服務(wù),以便更好地保護(hù)租戶數(shù)據(jù),提高系統(tǒng)容錯(cuò)性和數(shù)據(jù)可用性。 引入副本技術(shù)將會(huì)產(chǎn)生一系列新問(wèn)題：1)傳統(tǒng)的數(shù)據(jù)副本模型，，無(wú)法針對(duì)多租戶數(shù)據(jù)即共享又隔離的存儲(chǔ)特征,設(shè)計(jì)動(dòng)態(tài)副本管理模型,更不能適時(shí)定位多租戶共享架構(gòu)的副本單位,來(lái)適應(yīng)不同租戶的SLA；2)多租戶數(shù)據(jù)請(qǐng)求消息,在不同的時(shí)間間隔內(nèi),數(shù)據(jù)請(qǐng)求消息到達(dá)的個(gè)數(shù)沒(méi)有必然的聯(lián)系,這種多租戶數(shù)據(jù)請(qǐng)求特征無(wú)法使用傳統(tǒng)的基于歷史數(shù)據(jù)的預(yù)測(cè)機(jī)制來(lái)計(jì)算多租戶數(shù)據(jù)副本數(shù)量。3)由于無(wú)法撲捉多租戶數(shù)據(jù)的特征,現(xiàn)有的副本放置策略,很難保證副本節(jié)點(diǎn)間良好通訊及減少分布式事務(wù)的發(fā)生概率。隨著多租戶數(shù)據(jù)的運(yùn)行,租戶數(shù)據(jù)和租戶數(shù)量在不斷增加,現(xiàn)有的數(shù)據(jù)副本調(diào)整策略,很難適應(yīng)多租戶共享數(shù)據(jù)的熱點(diǎn)分布,不能及時(shí)合理地進(jìn)行數(shù)據(jù)副本的調(diào)整,解決熱點(diǎn)瓶頸,提高數(shù)據(jù)可用性。 針對(duì)以上問(wèn)題,本文首先探討了SaaS軟件交付平臺(tái)的多租戶副本模式,提出面向租戶的動(dòng)態(tài)副本管理框架,并針對(duì)多租戶數(shù)據(jù)特征,提出適合多租戶數(shù)據(jù)的副本數(shù)量預(yù)測(cè)、放置與調(diào)整機(jī)制。本文的主要貢獻(xiàn)如下： (1)針對(duì)多租戶數(shù)據(jù)存儲(chǔ)特征,提出一種面向多租戶的動(dòng)態(tài)副本管理模型,解決了多租戶數(shù)據(jù)共享寬表存儲(chǔ)模式下的副本管理問(wèn)題。 本文綜合多租戶數(shù)據(jù)副本管理所需功能,深入探討動(dòng)態(tài)數(shù)據(jù)副本管理模式,設(shè)計(jì)出依附于SaaS軟件交付平臺(tái)的多租戶數(shù)據(jù)副本動(dòng)態(tài)管理框架,并給出框架中各組件之間關(guān)系以及各組件在多租戶數(shù)據(jù)請(qǐng)求消息訪問(wèn)過(guò)程中所起的作用。本文還改進(jìn)傳統(tǒng)分布式網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu),提出分層網(wǎng)絡(luò)模型,解決了單點(diǎn)瓶頸,環(huán)形熱點(diǎn)問(wèn)題。 (2)針對(duì)多租戶數(shù)據(jù)請(qǐng)求消息分布現(xiàn)狀,提出基于消息隊(duì)列的租戶數(shù)據(jù)副本預(yù)測(cè)技術(shù),解決了無(wú)法完全依賴歷史數(shù)據(jù)預(yù)測(cè)租戶數(shù)據(jù)副本數(shù)量的問(wèn)題,提高了租戶數(shù)據(jù)副本管理的準(zhǔn)確性和高效性。 本文首先分析多租戶數(shù)據(jù)節(jié)點(diǎn)在云平臺(tái)環(huán)境中的故障率,在保證多租戶數(shù)據(jù)可用性的前提下,計(jì)算出平臺(tái)運(yùn)行初期的最低副本數(shù)量閾值。接著深入研究多租戶數(shù)據(jù)請(qǐng)求消息的分布情況,得出請(qǐng)求消息的概率分布。然后采用面向多租戶數(shù)據(jù)請(qǐng)求消息的消息隊(duì)列模型,計(jì)算出平臺(tái)所需的接近最優(yōu)的副本數(shù)量。 (3)在面向多租戶的動(dòng)態(tài)副本管理框架的基礎(chǔ)上,提出多租戶數(shù)據(jù)副本放置與調(diào)整算法,解決了因不合理數(shù)據(jù)放置與調(diào)整引起的租戶數(shù)據(jù)傾斜、節(jié)點(diǎn)間通訊阻塞、分布式事務(wù)增加等問(wèn)題。 本文根據(jù)多租戶數(shù)據(jù)存儲(chǔ)結(jié)構(gòu)的共享特征,提取影響租戶數(shù)據(jù)放置與調(diào)整的因子,統(tǒng)籌計(jì)算出適合租戶數(shù)據(jù)副本放置的節(jié)點(diǎn)位置。并進(jìn)一步通過(guò)消息過(guò)濾,消息隊(duì)列優(yōu)化與輪轉(zhuǎn),消息響應(yīng)時(shí)間監(jiān)聽(tīng)方式進(jìn)行三階段數(shù)據(jù)副本調(diào)整,以保證及時(shí)并適時(shí)地進(jìn)行租戶副本調(diào)整,降低出現(xiàn)租戶數(shù)據(jù)可用性不能滿足的概率。 本文提出依附于SaaS軟件交付平臺(tái)的多租戶數(shù)據(jù)副本管理框架,通過(guò)預(yù)測(cè)數(shù)據(jù)副本數(shù)量,統(tǒng)籌放置數(shù)據(jù)副本,及時(shí)調(diào)整副本數(shù)據(jù),降低不滿足租戶可用性要求、租戶分布式事務(wù)、額外副本調(diào)整發(fā)生的概率,減少節(jié)點(diǎn)間通訊費(fèi)用,節(jié)省系統(tǒng)資源,平衡系統(tǒng)負(fù)載,提高租戶數(shù)據(jù)可用性。
[Abstract]:SaaS is a software operation mode that provides services through the Internet to the outside world. It uses multi tenant technology to support flexible leasing and on-demand customization, and is a new mode of application delivery in the cloud service platform in twenty-first Century. It is attracting more and more attention from all enterprises.
SaaS platform uses copy technology to improve the node redundancy, in order to ensure the reliability and usability of multi tenant data. When some data replica failure or failure, the remaining copies can continue to provide services, in order to better protect the tenants' data, improve the system fault tolerance and data availability.
The introduction of replica technology will produce a series of new problems: 1) a copy of the data model of the traditional storage characteristics to multi tenant data sharing and isolation, the design of dynamic replica management model, not timely positioning multi tenant sharing architecture a copy of the unit, to adapt to different tenants SLA; 2) multi tenant data request message and in different time intervals, not necessarily related to the number of data request message arrives, the multi tenant data request features are not available in traditional prediction mechanism based on historical data to calculate the multi tenant data copy number.3) due to the inability to capture characteristics of multi tenant data placement strategy, the existing copy is very difficult ensure good communication between the replica node and the probability of occurrence of the reduced distributed transaction. With multi tenant data operation, the number of tenants and tenants in the data increases, a copy of the data transfer current The whole strategy is difficult to adapt to the hot distribution of multi tenant sharing data. It can not adjust the data copy in time and reasonably, solve the hot spot bottleneck and improve the availability of data.
To solve the above problems, this paper first discusses the SaaS software delivery platform of multi tenant copy mode, put forward dynamic replica management framework for tenants, and for the multi tenant data characteristics, put forward the suitable number of copies of the multi tenant data prediction, placement and adjustment mechanism. The main contributions are as follows:
(1) for multi tenant data storage characteristics, a multi tenant dynamic replica management model is proposed, which solves the problem of replica management in multi tenant data sharing and wide table storage mode.
The multi tenant data replica management functions for the in-depth study of dynamic data replication management mode, designed the attachment delivery platform in SaaS software multi tenant data copy dynamic management framework, and gives the framework of relationship between various components and components in the rent according to the number of request messages in the process of visiting the role. The improvement of the traditional distributed network topology, the layered network model, solves the single point bottleneck, the annular hot issue.
(2) in view of the current situation of multi tenant data request message distribution, a message queue based tenant data replication prediction technology is proposed, which solves the problem that the number of replica data can not be completely dependent on historical data, and improves the accuracy and efficiency of tenant data replica management.
This paper first analyzes the multi tenant data node failures in the cloud platform in the environment of multi tenant rate, under the premise of ensuring the availability of data, calculate the minimum number of copies of the platform running initial threshold. Then we study the distribution of multi tenant data request message, the probability distribution of the request message. Then use the multi tenant data request message queue model, calculate the number of copies of the near optimal platform is required.
(3) on the basis of multi tenant dynamic replica management framework, a multi tenant data replica placement and adjustment algorithm is proposed, which solves the problem of tenant data skew due to unreasonable data placement and adjustment, communication blocking between nodes, and distributed transaction increase.
According to the features of sharing multi tenant data storage structure, extracting data placement and adjustment factor tenants, and calculate the node location for tenant data replicas. And further through message filtering, message queue optimization and rotation, the response time of news supervision adjusted data copy of the three stage, to ensure timely and timely for a copy of the tenant adjustment, reduces the probability of the occurrence of the availability of data can not meet the tenants.
This attachment multi tenant data replica management framework delivery platform in SaaS software, the prediction data copy number, and placed a copy of the data, timely adjust the copy of the data, reduce the availability requirements to meet the tenants, tenants distributed transactions, the probability of occurrence of the extra copy adjustment, reduce communication costs, save system resources, balance system load, improve the tenant data availability.

【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.09

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本文編號(hào)：1672556