Store User Data Research Articles

Data placement approach for scalable online social networks

Online social networks are attracting more and more users. Faced with hundreds of millions of users, how to store user data in a scalable manner has become a hot issue of focus for both social service providers and researchers. Currently, distributed key value store is widely used; it places user data across multiple storage servers based on a hash approach. However, it results in a huge amount of communication traffic inside a data center, and is not conducive to the scale of social networks. By considering user interaction characteristics, this paper proposes a data placement approach that combines both social graph partitioning and data replication. Considering the network topologies of data centers, we design the data placement for specific topologies. Furthermore, we discuss the incremental adjustment for social network growth and the distributed implementation of the proposed algorithms. Finally, experiments on real world traces indicate that the proposed algorithms can effectively reduce internal communication traffic, thereby enhancing the scalability of online social networks.

Study on Internet Finance Credit Information Sharing Based on Block Chain Technology

With development of Big Data technology these years, Internet financial companies in China started trying using big data technology to do credit investigation instead of traditional methods. But there is some limitation and problem in terms of data acquisition channel, information asymmetry and data privacy protection, etc. Block chain, characterized in unalterability and decentralization comes into people's sight. This paper will introduce block chain technology, explore the use of block chain technology in Internet financial credit investigation, and put forward an internet financial credit data sharing model based on block chain, which mainly composed by the Fin-tech Federate Servers group (FFS), the user data storage structure and a distributed database system (DDBS). By combining DPoS and re-encryption technology, the model has the characteristics of non-tampering, authorized access and convenient accountability. Through this model, the user data is recorded by the trusted agent, encrypted by asymmetric encryption technology, and anchored to the chain of the block periodically.

Revamping data access privacy preservation method against inside attacks in wireless sensor networks

Despite more privacy preservation techniques available in wireless sensor networks (WSN), no modest technique dealt with compromised nodes. Among several applications, healthcare applications fit into WSNs environment for patient monitoring from work place, hospital and home. More predictable security threats are in healthcare applications against both outside and inside attacks. For example, data breach, access control, eavesdropping, modification, and impersonation are vulnerable. On hand clarifications protect the user’s personal information from the external attackers. But, they are unable to fight against compromised attacks internally by knowing all user data and security credentials. The existing premier cryptosystem is unable to protect the user’s data against compromised attacks. Also, WSNs provide flexible data aggregation structures and routing protocols to maintain end-to-end data privacy. In this proposal, a sensible approach is proposed to put off the inside attacks by many data servers to store user data. In this proposal, the paillier cryptosystem is used for distributing data to many data servers in a secured manner exclusively maintaining privacy. This proposal continues to preserve the data privacy only if any one of the data server is not compromised. A thorough security analysis and extensive simulations show that our protocol can ensure end-to-end privacy with low overhead for communication, memory and computation.

Design of Instant Messaging System of Multi-language E-commerce Platform

This paper aims at researching the message system in the instant messaging system based on the multi-language e-commerce platform in order to design the instant messaging system in multi-language environment and exhibit the national characteristics based information as well as applying national languages to e-commerce. In order to develop beautiful and friendly system interface for the front end of the message system and reduce the development cost, the mature jQuery framework is adopted in this paper. The high-performance server Tomcat is adopted at the back end to process user requests, and MySQL database is adopted for data storage to persistently store user data, and meanwhile Oracle database is adopted as the message buffer for system optimization. Moreover, AJAX technology is adopted for the client to actively pull the newest data from the server at the specified time. In practical application, the system has strong reliability, good expansibility, short response time, high system throughput capacity and high user concurrency.

Adaptive Data Placement for Improving Performance of Online Social Network Services in a Multicloud Environment

The existing online social network (OSN) services in a multiple-cloud (Multicloud) environment use replications to store user data for improving the service performance. However, it not only generates tremendous traffic for synchronization between data but also stores considerable redundant data, thus causing large storage costs. In addition, it does not provide dynamic load balancing considering the resource status of each cloud. As a result, it cannot cope with the degradation of performance caused by the resource contention. We introduce an adaptive data placement algorithm without the replications for improving the performance of the OSN services in the Multicloud environment. Our approach is designed to avoid server overhead using data balancing technique, which locates data from a cloud to another according to the amount of traffic. To provide acceptable latency delay, it also considers the relationship between users and the distance between user and cloud when transferring data. To validate our approach, we experimented with actual users’ locations and times of use collected from OSN services. Our findings indicate that this approach can reduce the resource contention by an average of more than 59%, reduce storage volume to at least 50%, and maintain the latency delay under 50 ms.

Passive wireless strain measurement based upon the Villari effect and giant magnetoresistance

A passive wireless radio frequency-identification (RFID) stress/strain sensor is presented. Stress is transformed into a change of magnetic field by utilizing an amorphous metal ribbon. This magnetic field change is measured by a giant magnetoresistance magnetic field sensor and converted into a digital value with a RFID chip for wireless access. Standard metal foil strain gauges have a gauge factor GF from around 2 to 5 and suffer from the disadvantage of a physically connected power supply and measurement equipment. For the presented sensor, a strain range of −10 μmm to 190 μmm results in a linear sensor response, a gauge factor of GF ≈ 245, and a detectivity of 4.10 nmm1Hz. The detectivity of the presented sensor is similar to the detectivity of a reference metal foil strain gauge. Due to low power consumption and easy signal analysis, this sensor is well suited for long term strain measurement inside closed spaces. RFID adds features like multiple tag detection, wireless passive operation and a user data storage.

Flexible Data Access Control Based on Trust and Reputation in Cloud Computing

Cloud computing offers a new way of services and has become a popular service platform. Storing user data at a cloud data center greatly releases storage burden of user devices and brings access convenience. Due to distrust in cloud service providers, users generally store their crucial data in an encrypted form. But in many cases, the data need to be accessed by other entities for fulfilling an expected service, e.g., an eHealth service. How to control personal data access at cloud is a critical issue. Various application scenarios request flexible control on cloud data access based on data owner policies and application demands. Either data owners or some trusted third parties or both should flexibly participate in this control. However, existing work hasn't yet investigated an effective and flexible solution to satisfy this demand. On the other hand, trust plays an important role in data sharing. It helps overcoming uncertainty and avoiding potential risks. But literature still lacks a practical solution to control cloud data access based on trust and reputation. In this paper, we propose a scheme to control data access in cloud computing based on trust evaluated by the data owner and/or reputations generated by a number of reputation centers in a flexible manner by applying Attribue-Based Encryption and Proxy Re-Encryption. We integrate the concept of context-aware trust and reputation evaluation into a cryptographic system in order to support various control scenarios and strategies. The security and performance of our scheme are evaluated and justified through extensive analysis, security proof, comparison and implementation. The results show the efficiency, flexibility and effectiveness of our scheme for data access control in cloud computing.

A Mobile Cloud Middleware to Support Mobility and Cloud Interoperability

With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.

A CLOUD STORAGE SYSTEM FOR SHARING DATA SECURELY WITH PRIVACY PRESERVATION AND FRAUD DETECTION

Cloud computing provides much-known services for storing user data over cloud server and it provides attention towards a broad set of technologies, rules and controls deployed to provide security for applications and data. As the more and more firm uses the cloud, security in cloud environment is becoming very important issue. It is much needed that companies should work with partners doing best practices of cloud security and which facilitate transparency for their solutions. Number of security solutions today depends on the authentication for security but it did not provide solution for the privacy problems while sharing data in the cloud environment. Data access request from the user itself may expose users’ private data no matter his request approved or not. So this becomes very important in sharing data in the cloud environment. In this paper we proposed a system which provides attention towards the above mentioned problem. In proposed system we used the concept of data anonymity for sending data access request to data owner and also provide the data auditing facility to detect fraud in the integrity of users shared data.

IMPROVING RESOURCE UTILIZATION IN INFRASTRUCTURAL CLOUD

In this paper, an introspective overview is made on the design aspects of (Software as Service) Cloud system by improving infrastructure utilization integrating different lease and scheduling techniques for user and resources to implement On-demand allocation of resources to the user. The primary aim of Cloud Computing is to provide mobility development of web-based application by means of early accessible tools and interfaces by using and manipulating infrastructure. Cloud-based services integrate global scattered resource, which offer its users different types of services without the difficulties and complications. In this paper main focus is on resource allocation to user, both Premium and Non-Premium with more priority to Premium user managing their effective utilization and providing security from data alteration and modification. In this paper a small protocol of cloud application is implemented adding security to it making the stored user data and information secure via the fraud detection system. Its main purpose is to improve utilization of infrastructure Cloud by providing On-demand availability of the resources to the users by reducing the expenses. Application are network based so that the business user free to use the services from anywhere that they choose using virtually any type of electronic device. Each application is pay-per-usage basis, allowing the business owner to predict their budget for the usage of number of application according to business need. This system offers a less expensive platform and infrastructure solution to improve the efficiency and elasticity of IT operations.

Rancang Bangun Layanan Cloud Computing Berbasis IaaS Menggunakan Virtualbox

Today, the growth of technology is very fast and a lot of technology that can facilitate users in helping their activity is made. A technology need a server to store both systems and users data. More users needed more servers to store user data. The server room became full and needed the extra space so that it required high cost to build the server and the server space itself. The purpose of this research is to create an IaaS based server virtualization that is connected to a router, switch, virtual client and administrator with VirtualBox application. The purpose of this research can be achieved by designing an appropriate research’s methodology. There are 5 stages of implementation/methodology in building virtualization server at this research which are the system definition, requirements specification, system configuration, system testing, and system analysis. First, phase of the definition system is by describing a system of early identification, system requirements and network topology on the implemented system. The second phase is the specification requirements to determine specifications hardware and software. The hardware consists of a computer with resources 8GB RAM and AMD Phenom II X6 as a processor. The software consists of VirtualBox and operating systems. The third stage is the system configuration to declare the source code in application on each server, routers and switches to perform the function of each device. The final stage is system testing and system analysis by checking the system is ready to use and works the best. Results in this research show IaaS-based server virtualization can be connected to display a web page on all clients through virtual switches and routers on a computer.

A New Model of Data Protection on Cloud Storage

This paper focuses on studying cloud storage data protection model and implementing encrypted storage of user data in double-key form. User data are encrypted with symmetric encryption algorithm and this secret key is encrypted with asymmetric encryption algorithm. The private key is managed and controlled by users. In this way, users guarantee the security of their own data with the sole private key. Providing effective protection for uploading and downloading of user data and good data storage and transmission support for cloud storage application through the data protection mechanism deployed at client, thus solving the biggest obstacle, i.e. security of cloud data in the application of cloud storage enterprises currently to a certain extent.

E-science infrastructures for molecular modeling and parametrization

E-science infrastructures are becoming the essential tools for computational scientific research. In this paper, we describe two e-science infrastructures: Science and Engineering Applications Grid (SEAGrid) and molecular modeling and parametrization (ParamChem). The SEAGrid is a virtual organization with a diverse set of hardware and software resources and provides services to access such resources in a routine and transparent manner. These essential services include allocations of computational resources, client-side application interfaces, computational job and data management tools, and consulting activities. ParamChem is another e-science project dedicated for molecular force-field parametrization based on both ab-initio and molecular mechanics calculations on high performance computers (HPCs) driven by scientific workflow middleware services. Both the projects share a similar three-tier computational infrastructure that consists of a front-end client, a middleware web services layer, and a remote HPC computational layer. The client is a Java Swing desktop application with components for pre- and post-data processing, communications with middleware server and local data management. The middleware service is based on Axis2 web service and MySQL relational database, which provides functionalities for user authentication and session control, HPC resource information collections, discovery and matching, job information logging and notification. It can also be integrated with scientific workflow to manage computations on HPC resources. The grid credentials for accessing HPCs are delegated through MyProxy infrastructure. Currently SEAGrid has integrated several popular application software suites such as Gaussian for quantum chemistry, NAMD for molecular dynamics and engineering software such as Abacus for mechanical engineering. ParamChem has integrated CGenFF (CHARMM General Force-Field) for molecular force-field parametrization of drug-like molecules. Long-term storage of user data is handled by tertiary data archival mechanisms. SEAGrid science gateway serves more than 500 users while more than 1000 users use ParamChem services such as atom typing and initial force-field parameter guess at present.

SplitX

There is a growing body of research on mechanisms for preserving online user privacy while still allowing aggregate queries over private user data. A common approach is to store user data at users' devices, and to query the data in such a way that a differentially private noisy result is produced without exposing individual user data to any system component. A particular challenge is to design a system that scales well while limiting how much the malicious users can distort the result. This paper presents SplitX , a high-performance analytics system for making differentially private queries over distributed user data. SplitX is typically two to three orders of magnitude more efficient in bandwidth, and from three to five orders of magnitude more efficient in computation than previous comparable systems, while operating under a similar trust model. SplitX accomplishes this performance by replacing public-key operations with exclusive-or operations. This paper presents the design of SplitX, analyzes its security and performance, and describes its implementation and deployment across 416 users.

Advocating an ethical memory model for artificial companions from a human-centred perspective

This paper considers the ethical implications of applying three major ethical theories to the memory structure of an artificial companion that might have different embodiments such as a physical robot or a graphical character on a hand-held device. We start by proposing an ethical memory model and then make use of an action-centric framework to evaluate its ethical implications. The case that we discuss is that of digital artefacts that autonomously record and store user data, where this data are used as a resource for future interaction with users.

Extraction, integration and analysis of alternative splicing and protein structure distributed information

BackgroundAlternative splicing has been demonstrated to affect most of human genes; different isoforms from the same gene encode for proteins which differ for a limited number of residues, thus yielding similar structures. This suggests possible correlations between alternative splicing and protein structure. In order to support the investigation of such relationships, we have developed the Alternative Splicing and Protein Structure Scrutinizer (PASS), a Web application to automatically extract, integrate and analyze human alternative splicing and protein structure data sparsely available in the Alternative Splicing Database, Ensembl databank and Protein Data Bank. Primary data from these databases have been integrated and analyzed using the Protein Identifier Cross-Reference, BLAST, CLUSTALW and FeatureMap3D software tools.ResultsA database has been developed to store the considered primary data and the results from their analysis; a system of Perl scripts has been implemented to automatically create and update the database and analyze the integrated data; a Web interface has been implemented to make the analyses easily accessible; a database has been created to manage user accesses to the PASS Web application and store user's data and searches.ConclusionPASS automatically integrates data from the Alternative Splicing Database with protein structure data from the Protein Data Bank. Additionally, it comprehensively analyzes the integrated data with publicly available well-known bioinformatics tools in order to generate structural information of isoform pairs. Further analysis of such valuable information might reveal interesting relationships between alternative splicing and protein structure differences, which may be significantly associated with different functions.

Social Networking and Cloud Computing: Precarious Affordances for the "Prosumer"

drive. Arguably, the World Wide Web has always functioned in this manner, though the easy-to-use qualifier might not apply. In the early days of the Web, a producer needed basic coding or mark-up literacies, such as knowl edge of HTML, to build a website. While some websites offered minimal engagement to the user, for the most part, they were static, read-only, and unidirectional nodes of information.1 In recent years, use of web-based plat forms that engage fuller participation, that rely on scaling a large user-base of prosumers (producer/consumers), and that solicit user-generated con tent has proliferated, ushering in social and as a part of everyday digital life.2 Social networking as a descriptor marks a huge range of personal ized cloud computing platforms and functions of interaction on the web. Cloud refers to the use of a network-based application that also handles user data storage. In other words, both the program and any documents, files, or data generated through this program all reside on the host's remote networked server and not on a user's own hard drive. Hugely popular instances of this sort of social and cloud computing are carried out on such sites as MySpace, Facebook, Flickr,YouTube, Twit ter, and Delicious.3 All of these platforms offer a variety of user controls that allow for the creation of personal networks, such as adding a friend, subscribing to a channel or feed, and following other users as well as options to subscribe to an RSS (Really Simple Syndication) feed directed at a reader.4 They also offer subplatforms, for activities such as blogging on a MySpace page, messaging users directly through the web interface or via cell phone-enabled SMS (Simple Message System) text messages, and incor porating various digital objects such as digital video and photos into a Tweet