A New Framework for Secure Cloud Data Storage

Nowadays, the classic technology calledcloud computing is very hot topic. It is widelydeveloped in various environments such asinformation technology, business and medical,etc. Cloud computing platform offers on-demandservices with elasticity, scalability on a simplepay-per-use manner. However, there are manychallenges about security and privacy for cloudinfrastructure. Because security and privacypreserving is very important task in cloudcomputing and still implemented with variousways. It is impossible to make complete cloudbasedinfrastructure without implementation ofsecurity policies. In this paper, we propose a newsecure cloud data storage with new DateTimebasedauditing system that implement for dataintegrity. We use Trusted-third Party (TTP) andCloud Service Provider (CSP)

Checkpoint/Restart System for Private Cloud Development

Cloud computing provides access to large pool of data, applications and computational resources. Many researchers have been proposed several open-source private cloud management frameworks (e.g., Eucalyptus, Nimbus, and OpenNebula). However, there is no fully automatic fault-tolerance support in private cloud development. In this paper, we propose a new fault-tolerant checkpoint/restart system for hierarchical private cloud. Checkpoint/restart is the simplest way to implement fault-tolerance system in large High Performance Computing (HPC) system. Checkpoint save an application state and restart resume an application execution using the last saved state, on the same machine, or on another machine. We also use Reed-Solomon erasure code to achieve high availability and durability of the checkpoint/restart system

A Scalable PC Cluster-based Cloud Storage System with Binary Weighted Tree Approach

The need and use of scalable storage oncloud has rapidly increased in last few years.Organizations need large amount of storage fortheir operational data and backups. To addressthis need, high performance storage servers forcloud computing are the ultimate solution, butthey are very expensive. Therefore we proposeefficient cloud storage system by usinginexpensive and commodity computer nodes.These computer nodes are organized into PCcluster as datacenter. Data objects aredistributed and replicated in a cluster ofcommodity nodes located in the cloud. In theproposed cloud storage system, the PC cluster islogically organized as a binary weighted tree. Itsupports the weighted allocation of data objectsand scalability. Moreover, it can be seen fromtheoretical analysis that the proposed system isable to scale and can adjust replica numbersaccording to failure probability and availability

Framework of knowledge base construction using Crowdsourcing Approach

This paper proposes a framework toconstruct a knowledge base by usingcrowdsourcing approach. The various inputshave been asserted into database interactively bycrowd of people via internet. The support oftravel information system which includes domainontology representing linked data betweentourist destinations and its attractions, availablehotels, transportation, food and others is anexample scenario. When a user who does notknow about Myanmar searches a local touristdestination, the system retrieves related linkeddata. Otherwise, users can contributeinformation if they found out some data ismissing, incomplete or not reliable. Theproposed system collects information frompeople who are from different professionals torefine the ontology. The system is intended tointroduce a method constructing the domainontology as well as to promote the Myanmartourism industry and contribute the socioeconomic development of the nation

Construction of Knowledge Base and Review Opinion Mining: Crowdsourcing Approach

This system proposes a framework forknowledge base construction by using crowdsourcingapproach. The travel related information is stored inknowledgebase by crowd of people via internet. Thesystem creates domain ontology presenting travelinformation support system which includes linkeddata between tourist destinations and its attractions,e hotels, transportation, food and others. As anexample scenario, when a user who does not knowabout Myanmar, searches a local tourist destination,the system retrieves related linked data. Many peoplefrom the crowd enter review comments which havebeen carried out review identification and store inreview database. After that, opinion mining is appliedfor processing review identification to produce travelopinion information to be updated in the ontology. Byusing this system, user gets useful travel relatedinformation and recommendations which has beencontributed by many people from differentperspectives. The system introduces a methoddeveloping the domain ontology and opinion miningwith the help of crowd of people in order to supportinformation for travelers

Ontology based Opinion Mining with Crowdsourcing Approach for Myanmar Travel Domain

Tourism Industry is a dynamic and competitivebusiness sector that requires updating informationcontinuously to meet customers’ satisfaction.In addition, the industry plays a vital role for the economicgrowth of the country which demands thecomprehensive local travel information. Therefore,construction of Myanmar travel domain is importantas it is enrich with ancient heritage and known formany natural tourist destinations. This paper proposesa crowd sourced method of creating an ontologywhich supports useful information retrieval togetherwith review opinions by applying opinion miningapproach. The main contribution of this paper is designingan ontology based on locations by accessingvaluable information and opinions. In addition, weintroduce opinion mining approach for analyzingusers’ opinions which can be used for refining ontology.Finally, we propose and implement the ontologybased opinion mining with crowdsourcing approachwhile constructing the Myanmar travel domain

I/O Traffic Management on PC-Cluster based Cloud Storage System

Cloud storage system architecture and design plays a vital role in the cloud computing infrastructure. Cloud storage system provides users to efficient storage space with elasticity feature. One of the challenges of cloud storage server is difficult to balance the providing huge elastic capacity of storage and investment of expensive cost for it. In order to solve this issue, we propose the low cost PC cluster based storage system architecture which can be activated to store a large amount of data and provide cost-effective for cloud storage user and present FP-growth algorithm for metadata prefetching method and Least Recently Used (LRU) replacement policy for caching to improve performance by reducing response time. According to the experimental testing, the storage can be utilized more than 90% of storage space and can significantly reduce the average response time