RESEARCH PAPERS

nosql research papers



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New database architectures: Steps towards big data processing
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Also a typical shared-nothing parallel relational DBMS can be described by this architecture. Layers L1-L4 are present usually at each machine in a cluster. New columns can be added to these collections. Table 3 presents some significant representatives of NoSQLdatabases.

ROS meets Cassandra: Data Management in Smart Environments with NoSQL
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It should be remarked that the results of method getData are always returned with the Fortunately, the development of Cassandra is an ongoing process with improvements and new functionalities, so data or control commands, but there is much more data present in distributed

Evaluation of contemporary graph databases for efficient persistence of large-scale models
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2.2.1 Graph Databases As this paper presents an approach using graph-based NoSQLdatabases In the following sections we present our approaches for persisting and querying models that Note that the database supports querying of a model, insertion of a new model (from

Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores
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defined up front and extensible record stores allow the adhoc creation of new properties In this chapter, we introduce our method for schema extraction from a collection of JSON lineage information, lists that specify in which JSON documents the structural property is present.

NoSQL databases
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3When reading and evaluating Stonebraker's writings it has to be in mind that he Examples of these new markets include data warehouses, text management, and stream processing which now present evidence that the current architecture of RDBMSs is not even appropriate

Building Scalable Applications In the Cloud
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These situations present many new and unique challenges to application developers and systems architects I will also introduce a reference architecture that has been used by many RightScale database fails, a slave can be quickly promoted to become the new master using

Comparative study of NoSQL Document, Column Store Databases And Evaluation Of Cassandra
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This paper also presentsevaluation of cassandra for an industry specific use case and results are to respond to the query, giving you more assurance that the values present on each The slave periodically polls the master for any new operations and then performs them on its

Extracting Data from NoSQL Databases-A Step towards Interactive Visual Analysis ofNoSQL Data
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As a reaction to this, new types of DBMSs under the umbrella term NoSQL have become popular Section 3.3.3 presents a taxonomy of NoSQLdatabases Given a method to measure the similarity, or rather, dissimilarity or distance, between objects, this task can be formalized as

Serializable Snapshot Isolation in Shared-Nothing, Distributed Database Management Systems
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The TSO server handles these requests using modified-CommitRequest method. For the cost evaluation, we present a comparative evaluation between the new commit algorithm and the We demonstrate the correctness and scalability of our new algorithm by experiments.

On positioning traffic in nosql database systems by the use of particle swarm algorithm
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Ent1-means of busy period t1 and End1-idle time d1 on condition that system starts with n packets present. , Some new results for Creating learning sets for control systems using an evolutionary method, Lecture Notes in

Graph Database for Structured Radiology Reporting
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4 Validation and Analysis of the Graph Data Model This section presents the results of Future works will extend the present model to include a mechanism based on expert CP Langlotz, RadLex: a newmethod for indexing online educational materials., Radiographics: a review

New Query Rewriting Methods for Structured and Semi-Structured Databases
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Example 2.2 presents the result of nesting of an Emp object form the example 2.1 Figure 2.1 present the states of the QRES during the evaluation of the query 3+7 2*4. chapter 2.2.1) and the multiset of those values should be placed in the new section on top of the QRES.

MapReduce Based Implementation of Aggregate Functions on Cassandra
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to ensure high flexibility [6]. Cassandra has a peer to peer design that makes it easy to add new servers to Since, this way, more computational nodes can introduce to cluster to increasing the power [1 In their proposed method, they assigned a candidate code to a map Function.

Optimization Technique for Efficient Dynamic Query Forms with NoSQL
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Abstract: At present real world databases maintain large and heterogeneous data which contain This paper presents new system which uses the allowance of query by form Query recommendation for interactive database exploration [7], here introduce a collaborative approach

Hybrid methods for cyber security analysis: LDRD final report.
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Analysts can present new data to the analysis modules, resulting in either immediate or Abstract: The high-volume, low-latency world of network traffic presents significant obstacles for However, for these new approaches to become sustainable, new approaches to collaboration

Big Data leverages Cloud Computing opportunities
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Section 2 presents the two concepts involved (Big Data and Cloud Computing), summarizing the state In this chapter we will briefly present a new type of database NoSQL, used for domain will allow individuals, small and medium enterprises to benefit from this new trend that

A Dynamic Processing System for Sensor Data in IoT
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Section 4 presents the framework of the proposed processing system SDP. (1) Based on unified data model, data compression method employing PSO algorithm is present to reduce We first introduce the new concept of Observation (O for abbreviation), which is a data object

ATAM for NoSQL Database Selection
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Page 2. NewNoSQLdatabases offer more options to the database architect. This presentation will show how the Architecture Tradeoff Analysis Method (ATAM) can be applied to family stores, graph databases, and document databases) and then present examples

Big Data: Evaluating the Nature of data in Indian Corporate
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Notably in Indian organizations (across verticals like BFSI, Media Entertainment, Telecommunications, and Government) at present have more than 100 New York Times, 11 is efficiently able to meet its big data needs and is depicted through a scorecard method for

A Selection Method of Database System in Big data Environment: A Case Study From Smart Education Service in Korea.
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a basis, we exemplify the optimal DB management system (DBMS) and present its combination Through the following cast study, we introduce a database selection criteria in big data environment organization database administrators to think about how to use the new storage.

nosql 2014



Management of flexible schema data in RDBMSs: Opportunities and limitations for NoSQL
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1. ABSTRACT RDBMSs are designed to manage well-structured data requiring users to design a schema before storing and querying data. This is the 'schema first, data later approach. However, there are significant amount of unstructured data and semi-

Using open source NoSQL technologies in designing systems for delivering Electric Vehicle data analytics
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Abstract Advances in scientific research related to electric vehicles have led to generation of large amounts of data. This data is mainly logger data collected from various sensors in the vehicle and stored as flat files. It is predominantly unstructured and non-relational in

The SQL++ unifying semi-structured query language, and an expressiveness benchmark of SQL-on-Hadoop, NoSQL and NewSQL databases
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Abstract SQL-on-Hadoop, NewSQL and NoSQL databases provide semi-structured data models (typically JSON based) and respective query languages. Lack of formal syntax and semantics, idiomatic (non-SQL) language constructs and large variations in syntax,

ControVol: A Framework for Controlled Schema Evolution in NoSQL Application Development
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Abstract:Building scalable web applications on top of NoSQL data stores is becoming common practice. Many of these data stores can easily be accessed programmatically, and do not enforce a schema. Software engineers can design the data model on the go, a

Implementing Multidimensional Data Warehouses into NoSQL
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Abstract: Not only SQL (NoSQL) databases are becoming increasingly popular and have some interesting strengths such as scalability and flexibility. In this paper, we investigate on the use of NoSQL systems for implementing OLAP (On-Line Analytical Processing)

ROS meets Cassandra: Data Management in Smart Environments with NoSQL
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AbstractDistributed and smart environments can be seen as a distributed storage for data, information, and knowledge. Thus, one of the key challenges for future smart environments is the organization, access, and querying of this distributed storage, while allowing entities

Comparison of NoSQL and SQL Databases in the Cloud
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ABSTRACT In this paper, we examine the design, execution, and subsequent performance between traditional Relational Database Management Systems (RDBMS) and modern NoSQL Database Systems, when implemented on a cloud server. While significant

Experimental Validation as Support in the Migration from SQL Databases to NoSQLDatabases
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Abstract:NoSQL databases, also known Not only SQL databases, is a new type of databases that provides structures other than the tabular relations used in relational databases, for storage and retrieval data. This new databases are now a valuable asset to

Big Data: A Brief investigation on NoSQL Databases
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ABSTRACT As the usage of information technology has increased in the world, the Data generation from various resources has unexpectedly increased. The technology for handling the vast amount of data has not developed as compared to the data generation.

Relational vs. NoSQL Databases: A Survey
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Abstract:The huge growth in the Internet market and the emerging of the new web technologies and the trend toward what is called web 2.0 and recently web 3.0 come with a new challenges, new applications and new concepts such as NoSQL databases which is

A Comparison of NoSQL Time Series Databases
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During the last years NoSQL databases have been developed to ad-dress the needs of tremendous performance, reliability and horizontal scalability. NoSQL time series databases (TSDBs) have risen to combine valuable NoSQL properties with characteristics of time

On Scalability of Two NoSQL Data Stores for Processing Interactive Social Networking Actions
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Abstract This paper quantifies the scalability of a document store named MongoDB and an extensible store named HBase for processing simple operations using a social networking benchmark named BG (www. bgbenchmark. org). We report on the vertical and the

NoSQL Databases-Analysis, Techniques, and Classification
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Abstract In recent years in big data and real-time web applications, NoSQL database solutions are gaining popularity in handling massive increase in size of data storage. The design of traditional relational database management systems makes it difficult for them to

Schemaless NoSQL Data Stores–Object-NoSQL Mappers to the Rescue
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Abstract: NoSQL data stores are becoming increasingly popular in application development. These systems are attractive for developers due to their ability to handle large volumes of data, as well as data with a high degree of structural variety. Typically, NoSQL data stores

Transaction Processing System for NOSQL Cloud Database System
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Existing cloud database systems have been focused on scalability and availability than consistency. Consequently, the responsibility for data consistency rest upon application developers. However, according to [1], recently emerging applications such as online

Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency
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Rapid advances in high-throughput sequencing techniques have created interesting computational challenges in bioinformatics. One of them refers to management of massive amounts of data generated by automatic sequencers. We need to deal with the

Experimental evaluation of NoSQL databases
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ABSTRACT Relational databases are a technology used universally that enables storage, management and retrieval of varied data schemas. However, execution of requests can become a lengthy and inefficient process for some large databases. Moreover, storing

Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores
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Abstract: Although most NoSQL Data Stores are schema-less, information on the structural properties of the persisted data is nevertheless essential during application development. Otherwise, accessing the data becomes simply impractical. In this paper, we introduce an

Comparative study of NoSQL Document, Column Store Databases And Evaluation Of Cassandra
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ABSTRACT In the last decade, rapid growth in mobile applications, web technologies, social media generating unstructured data has led to the advent of various nosql data stores. Demands of web scale are in increasing trend everyday and nosql databases are

On positioning traffic in nosql database systems by the use of particle swarm algorithm
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Abstract:In this paper, application of particle swarm algorithm in positioning and optimization of traffic in NoSQL database is discussed. Sample system is modeled with independent 2-order hyper exponential input stream of packets and exponential service

Modified Bloom filter for high performance hybrid NoSQL systems
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Abstract. This article addresses problems of implementation of a modified Bloom filter as an additional module for mass data storage systems in supercomputers with hybrid CPU/GPU architecture. It is proposed to use a modified filter with counters, which makes it possible to

Database for Unstructured, Semistructured data-NoSQL
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Abstract-Since the rise of the web, the volume of data stored about users, objects, products and events has exploded. Data is also accessed more frequently, and is processed more intensively for example, social networks create hundreds of millions of customized, real-

Performance Evaluation of NoSQL Systems using YCSB in a resource Austere Environment
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ABSTRACT NoSQL is a database used to store high volume of data. NoSQL databases are horizontally scalable, distributed, open source and non-relational. High performance is a major concern for practically every data-driven system. NoSQL databases claim to deliver

Survey on NoSQL Database Technology
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Abstract: As one of the products of the big data era, NoSQL data base is used to solve the problem of the storage and process of the data. Intending to give references to NoSQL data base user, this paper discusses the theoretical basis and classification of NoSQL based

NoSQL Databases: New Millennium Database for Big Data, Big Users, Cloud Computing and Its Security Challenges
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Abstract The field of databases has emerged in last decades of years. New architectures try to meet the need to store more and more various kinds of diverse data. The current trend of Big Data (too diverse data, unstructured data, semi-structured data, fast changing data),

A Random Walk through the Dark Side of NoSQL Databases in Big Data Analytics
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Abstract: The massive growth of technology has greatly stimulated the need to generate data. Every day people and companies generate enormous amounts of data and this data may be structured, unstructured, semi-structured or a combination of all. This has called

Distributed Data Storage in NoSQL Databases
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This document contains the theoretical and practical background for the Distributed Data Storage in NoSQL Databases session of the Design for Dependability Laboratory Exercises course. The purpose of this session is to demonstrate the practical side of replication and

Teaching NoSQL with RavenDB and Neo4j
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Abstract There is a new trend towards polyglot persistence: the use of a variety of different data storage, including relational databases and NoSQL datastores, for different applications. This paper summarises the main categories of NoSQL datastores and

A CONVERGENCE OF NOSQL STORAGE SYSTEMS FROM CLOUDS TO SUPERCOMPUTERS
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ABSTRACT This work presents a convergence of distributed NoSQL storage systems in clouds and supercomputers. It specifically presents ZHT, a zero-hop distributed keyvalue store system, which has been tuned for the requirements of high-end computing systems.

SQL vs. NoSQL
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Abstract Chemical databases have been expanding rapidly both in complexity and amount. Traditional SQL approach for chemical databases has not been sufficient to meet changing requirements in data storage and retrieval. Flexible and schemaless data model of NoSQL

NoSQL OLTP Benchmarking: A Survey
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Page 1. Introduction Existing Benchmarks NoSQLMark Future Prospects References Discussion NoSQL OLTP 11/24 Page 35. Introduction Existing Benchmarks NoSQLMark Future Prospects References Discussion Wrap-Up Difficulties in Comparing NoSQL Datastores

Using the advantages of NoSQL databases
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Sažetak: Relational databases are one of the underlying parts of modern organizations. Need for system scalability and development of Web 2.0. applications are one of the main drivers for NoSQL (Not only SQL) database rise. Another type of motivation is represented

The Transition from RDBMS to NoSQL. A Comparative Analysis of Three Popular Non-Relational Solutions: Cassandra, MongoDB and Couchbase
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NoSQL databases were built in the need to deal with the increasing amount of complex data (Big Data), required in real-time web applications, and are mostly addressing some of these points: the focus on availability over consistency, horizontally scalable, distributed

Security-as-a-Service for Column Oriented NoSQL Databases in Cloud
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Abstract Database-as-a-service (DBaaS) or Database outsourcing in Cloud Computing supports data management on centralized Cloud servers. It provides a wide range of benefits such as multi-tenancy, resource sharing, scalability and many more. DBaaS has

A Security Requirements Perspective towards a Secured NOSQL Database Environment
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Abstract Security has been and still remains a very pertinent issue to consider in database management systems development especially those handling and storing large volumes of data. Most researches have focused on security at hardware level, Operating system level

Benchmarking Replication in NoSQL Data Stores
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Abstract The proliferation in Web 2.0 applications has increased both the volume, velocity, and variety of data sources which have exceeded the limitations and expected use cases of traditional relational DBMSs. Cloud serving NoSQL data stores address these concerns

The Research Study on DynamoDB–NoSQL Database Service
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Abstract--Reliability at massive scale is one of the biggest challenges we face as the operations in the e-commerce world keeps on expanding; even the slightest outage has significant financial consequences and impacts customer trust. The amazon.com platform

mongodb research papers



Introduction to mongodb
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Introduction to MongoDB Page 2. Page 3. Application PHP Linux Database Apache Page 4. Application PHP  Perl Linux Apache Page 20.

Design and Implementation of a MongoDB-based Log Processing System in Cloud Computing Environment
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SH Han, M Kim, H Lee ,dcslab.konkuk.ac.kr ABSTRACT Relational databases such as MySQL require strict schema structure, thus it makes it makes it difficult to handle unstructured data like banking log data. As the amount of data gets bigger, strict schema structure also has the potential problem that inhibits scalability 

An Algorithm for Transformation of Data from MySQL to NoSQL (MongoDB)
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ABSTRACT Relational databases have been the dominant model since 1980's, for storing, retrieving and managing data in computer industry. But relational databases do not fit into the current scenario and losing its importance due to fixed schema requirement and 

Point collection partitioning in MongoDB Cluster
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Parallel spatial database has seemed to become an inevitable trend of high performance spatial database development. Partitioning datasets in order to balanced loads among multi processors is an important ambition. However, spatial data has its own characteristics 

Sharded Parallel Mapreduce in Mongodb for Online Aggregation
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BRM Rao, A Govardhan ABSTRACT The Online Aggregation framework proposed to obtain the approximate results for the complex queries more quickly when compared to exact results using the aggregation. The Map Reduce context has evolved as one of the most commonly used parallel 

Modeling and Querying Data in MongoDB
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R Arora, RR Aggarwal ABSTRACT With the uninterrupted growth of data volumes, the storage of information, support and maintenance have become the biggest challenge. Relational database products fall behind to scaling the applications according to the incoming traffic. Due to huge data 

SQL Support over MongoDB using Metadata
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ABSTRACT New requirements are arising in environments where we have higher volumes of data with high operation rates, agile development and cloud computing. In recent years, a growing number of companies have adopted various types of nonrelational database, 


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