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A two-tier heterogeneous network, comprised of a macrocell underlaid with flexible and uncoordinated femtocell network, provides an economically viable way to improve indoor coverage, users' QoS and the capacity of the whole cellular network. However, mutual interference between macrocell and femtocell limits capacity and leads to the problem of coexistence. This paper proposes a game theoretical...
In the large-scale geography information system application, the distributed file system is the key approach for data storage and retrieving, but the traditional distributed spatial index's efficiency is low. We present a dynamic pyramid Rtree(DPR) index for the massive geospatial files management, the method is based on the pyramid spatial index and Rtree index, which can be adjusted with the data...
Message-oriented middleware especially for message queue has been widely used in web applications and services. Performance and scalability are quite essential in these systems however they often become the bottleneck. Existing message queues are not able to scale out elastically very well. This paper presents a decentralized distributed architecture based on peer to peer model, in which we always...
Big Data boosts the development of data management and analysis in database systems but it also poses a challenge to traditional storages. Flash-based Solid State Disks (SSDs) are provided to deal with the new challenges brought by Big Data. However, SSD has the problem of read-write asymmetry due to the unique features of flash memory, which presents significant challenges in designing tree index...
Video is able to convey huge amount of information and it is now one of the most popular media of content service on Internet. After HTML5 emerged, supporting playing video files by using the "" tag becomes the new standard. Nowadays, most of the devices and browsers have already supports playing video online by HTML5 player. Unlike the traditional stream video service, the video tag in...
Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++...
Electronic records are playing more and more important role in the today's society. However, how to protect the electronic records' security is facing a big challenge, too. The traditional security model such as the PKI can't satisfy the security requirements again. In this paper, we propose a kind of new electronic records security model for long-term preservation, and we name this model PKI-d. In...
Key-value data store has been widely used in e-commerce systems. The availability issue, which means no data loss and continuous service to users, is quite essential in such systems. This paper presents a lightweight, highly available architecture of key-value data store. This architecture uses a Paxos-based replication protocol to make synchronous replications among replicas. The replication protocol...
Geographic information system is more and more widely used in our daily lives, it plays an increasingly important role in transportation, urban planning, and resource management. An effective testing method is required to ensure the correctness. At the same time, MongoDB can provide applications with lightweight scalability and high-performance data storage solutions. This paper uses CppUnit unit...
In this paper, we focus on evaluating different storage strategies of different kinds of data and their index stored in Punt Table. Punt Table is a NoSQL database designed for elastic objects storage. Punt Table uses a schema-free way to store and get the objects and builds indices to support querying the fields inside the objects. In order to achieve high throughput and low latency, Punt Table is...
The Web File Management System (WFMS) is a distributed file system, which is designed for frequency reading of various file sizes. It consists of one single master and multi data servers. We use blocks to store data, which contains different size of chunks. The block/chunk mechanism achieves nearly 100% utilization of block. We also design hot block to raise the reading speed of frequency blocks through...
Big Data boosts the development of data management and analysis in database systems but it also poses a challenge to traditional database. NoSQL databases are provided to deal with the new challenges brought by Big Data because of its high performance, storage, scalability and availability. In NoSQL databases, it is an essential requirement to provide scalable and efficient index services for real-time...
With the incredible popularity of cloud computing, the adoption of mass customization (MC) is significant for building a cloud computing system that could provide services provisioning in a manner of multi-tenancy. Because of lack of a standard architecture that supports MC development for cloud services, the existing metadata or model driven approaches have insufficient abilities to realize personalized...
Hybrid row-column storage model [1][4], a common database approach for both OLTP and OLAP, have attracted a lot of attention in the past few years. Previous works about hybrid row-column approach mainly focus on physical storage. In this paper, we propose the idea of Layout-Conscious Optimization(LCO), techniques that fully exploits possibilities and take advantages of hybrid row-column data layout...
We propose a dual hash tables algorithm which can realize the durable top-k search. Two hash tables are constructed to keep the core information, such as score and time in the inverted lists. We use the key-value relationships between the two hash tables to calculate the scores which measure the correlations between a keyword and documents, and search the versioned objects that are consistent in the...
For the massive remote image file's management, we build the file catalog system of data application based on the part whole ontology of spatial relation. The method is that we analyzed the attributed item of image metadata and calculated the weight for application, then build the catalog concept level relation, calculated the similitude degree of the image attributed item and catalogue node to build...
with the development of cloud computing technologies, big data processing is becoming more and more important. How to mine and analyze massive data is facing a very big challenge. In this paper, we proposed an efficient massive data mining and analysis framework Data Cloud on large clusters. The most important part of Data Cloud is the Rabbit. It is a kind of massive data mining and analysis processing...
With the development of internet communities, lots of social-computing intensive applications have been developed, such as the Google+, Twitter and Facebook so on. In this paper, we describe a semantic++ social search engine framework in the cloud. Our framework is composed by 8 parts. It includes: (1)semantic social search interface, (2)semantic parser, (3)semantic social rank, (4) semantic index...
With the development of IoT technologies, more and more medial sensors have been used to monitor people's health. In this paper, we design a kind of semantic medical monitoring system model in the cloud based on the IoT sensors. Lots of IoT sensors will accept the massive sensor data every time. All these massive sensor data will be stored in the HDFS and some information will be stored into the HUADING-S,...
Nowadays, the data-intensive applications and IoT applications have gained a very big development in the cloud environment. All these applications need to process massive data. How to process these massive data effectively is becoming very important in the cloud environment. In this paper, we designed an efficient massive data processing model in the cloud. This model can be used to process all kinds...
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