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Many scientific experiments in Bioinformatics are executed as computational workflows. Frequently, it is necessary to re-run an experiment under the original circumstances in which it was run to recognize and validate it. Data provenance concerns the origin of data. Knowing the data source facilitates the understanding and analysis of the results, by detailing and documenting the history and the paths...
The paper proposes a methodology for the development of a marketing decision support system using Big Data technology and data mining techniques. The approach was inspired by the CRISP-DM methodology, which is not oriented towards Big Data projects. Therefore, we have modified this methodology with respect to the purpose and technological requirements of the project. The proposed methodology was tested...
Designing usable and secure software is hard without tool-support. Given the importance of requirements, CAIRIS was designed to illustrate the form tool-support for specifying usable and secure systems might take. While CAIRIS supports a broad range of security and usability engineering activities, its architecture needs to evolve to meet the workflows of these stakeholders. To this end, this paper...
The National Institute of Standards and Technology Network of Things (NoT) concept offers a framework to build a living NoT architecture using a graph theoretic approach. This architectural model captures system state dynamics in a way NoT typically supported in static architectural frameworks.
We propose caching mechanism in the form of a library named mysqlj capable of returning database results as an offline data file for further use by both server and client. The unique feature of this work & library is its transparency for developers and its versatility for use both at server and client level. The cache offloads application from querying database servers in the event valid data...
In this paper, a hardware resource management method based on virtualized modeling is designed for the problem of difficult hardware resource management in heterogeneous signal processing platform. Firstly, the hardware architecture of heterogeneous signal processing platform is introduced. Secondly, the hardware virtualization modeling method is given. Finally, the model of resource management based...
All organizations big or small need to manage their data effectively, both the structured data stored in operational databases and the unstructured data that is spread out across documents. As the data size grows, it becomes essential to move the data to a warehouse so that data is available for adhoc queries and analysis. This data repository of both useful data and documents along with meta data...
ERP application performance can be complicated, as it's ought to satisfy the prerequisite and desires of some of the greatest and most refined enterprises inside the world. Odoo is in vogue ERP application comes into picture, Odoo-ORM framework written in python. This paper concentrates on essential component of Odoo-ORM i.e. caching. Caching can be one of the important parts of an ORM application...
Polystores, i.e., data management systems that use multiple stores for different data models, are gaining popularity. We are developing a polystore-based system called AWESOME to support social data analytics. The AWESOME polystore can support relational, semistructured, graph and text data and houses a Spark computation engine to produce derived data during ingestion. ADIL, the data ingestion language...
Modern trends in the agriculture domain havemade people realize the importance of big data. The keychallenge of big data in agriculture is to identify theeffectiveness of big data analytics. Moreover, how big dataanalytics can be used to improve the productivity inagricultural practices. The purpose of the proposed researchis to reduce the technological gap between rural communitiesand information...
Every company stores more and more product data. Most of the data are not analyzed and possible findings cannot be used. But the utilization of existing knowledge can make the system development process more efficient. Therefore, this paper focuses on the data analysis of system architectures. It develops a concept to identify patterns between system architectures of different products in a database...
Data Centers (DCs) continue to become increasingly complex, due to comprising multiple functional entities (e.g. routing, orchestration). Managing the multitude of interconnected components in the DC becomes difficult and error prone, leading to slow service provisioning, lack of QoS support, etc. Moreover, the lack of simple solutions for managing the configuration and behavior of the DC components...
Data-driven research is increasingly ubiquitous and data itself is a defining asset for researchers, particularly in the computational social sciences and humanities. Entire careers and research communities are built around valuable, proprietary or sensitive datasets. However, many existing computation resources fail to support secure and cost-effective storage of data while also enabling secure and...
The Satellite Simulation Technology today is widely used by many famous space researching organizations in the world, almost each of them has its customized simulation system which has been contributing much on various of successful satellite designs, however, there hasn't been a generic framework to simplify complicated satellite design, this leads to significant investment on R & D costs, on...
Network Functions Visualization is focused on migrating traditional hardware-based network functions to software-based appliances running on standard high volume severs. There are a variety of challenges facing early adopters of Network Function Virtualizations; key among them are resource and service mapping, to support virtual network function orchestration. Service providers need efficient and...
Database-aided user association, where users are associated with data base stations (BSs) based on a database which stores their geographical location with signal-to-noise-ratio tagging, will play a vital role in the futuristic cellular architecture with separated control and data planes. However, such approach can lead to inaccurate user-data BS association, as a result of the inaccuracies in the...
NoSQL databases create tight coupling between data model, deployment topology, and application architecture, and so this technology selection must be one of the earliest architecture decisions. The NoSQL technology landscape is large and evolving rapidly, so architects need efficient and trusted design assistance to explore the solution space. Our solution was to create a queryable knowledge base,...
The current operation and development of National Defense M&S (Modeling & Simulation) virtual test application runs by FOM (Federation Object Model) type through HLA/RTI during simulation to interchange data. Simulation data interchanged by this method is one-shot data and won't be stored persistently. However, FOM typed data is in need of analysis, processing and reusability for the purpose...
Smart homes have gained attraction for several years in people's daily lives and are still increasing. They provide a fruitful foundation for the creation of social network services as they escort habits and regular activities of people at home, along their way or even at work. Smart homes and their current development stage are not only able to support people by intelligent functionality but also...
Age estimation from facial images is an important problem in computer vision and pattern recognition. Typically the goal is to predict the chronological age of a person given his or her face picture. It is seldom to study a related problem, that is, how old does a person look like from?the face photo? It is called apparent age estimation. A key difference between apparent age estimation and the traditional...
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