22 research outputs found
Growth of relational model: Interdependence and complementary to big data
A database management system is a constant application of science that provides a platform for the creation, movement, and use of voluminous data. The area has witnessed a series of developments and technological advancements from its conventional structured database to the recent buzzword, bigdata. This paper aims to provide a complete model of a relational database that is still being widely used because of its well known ACID properties namely, atomicity, consistency, integrity and durability. Specifically, the objective of this paper is to highlight the adoption of relational model approaches by bigdata techniques. Towards addressing the reason for this in corporation, this paper qualitatively studied the advancements done over a while on the relational data model. First, the variations in the data storage layout are illustrated based on the needs of the application. Second, quick data retrieval techniques like indexing, query processing and concurrency control methods are revealed. The paper provides vital insights to appraise the efficiency of the structured database in the unstructured environment, particularly when both consistency and scalability become an issue in the working of the hybrid transactional and analytical database management system
The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes
In the current context of Big Data, a multitude of new NoSQL solutions for
storing, managing, and extracting information and patterns from semi-structured
data have been proposed and implemented. These solutions were developed to
relieve the issue of rigid data structures present in relational databases, by
introducing semi-structured and flexible schema design. As current data
generated by different sources and devices, especially from IoT sensors and
actuators, use either XML or JSON format, depending on the application,
database technologies that store and query semi-structured data in XML format
are needed. Thus, Native XML Databases, which were initially designed to
manipulate XML data using standardized querying languages, i.e., XQuery and
XPath, were rebranded as NoSQL Document-Oriented Databases Systems. Currently,
the majority of these solutions have been replaced with the more modern JSON
based Database Management Systems. However, we believe that XML-based solutions
can still deliver performance in executing complex queries on heterogeneous
collections. Unfortunately nowadays, research lacks a clear comparison of the
scalability and performance for database technologies that store and query
documents in XML versus the more modern JSON format. Moreover, to the best of
our knowledge, there are no Big Data-compliant benchmarks for such database
technologies. In this paper, we present a comparison for selected
Document-Oriented Database Systems that either use the XML format to encode
documents, i.e., BaseX, eXist-db, and Sedna, or the JSON format, i.e., MongoDB,
CouchDB, and Couchbase. To underline the performance differences we also
propose a benchmark that uses a heterogeneous complex schema on a large DBLP
corpus.Comment: 28 pages, 6 figures, 7 table
Knowledge Capturing in Design Briefing Process for Requirement Elicitation and Validation
Knowledge capturing and reusing are major processes of knowledge management that deal with the elicitation of valuable knowledge via some techniques and methods for use in actual and further studies, projects, services, or products. The construction industry, as well, adopts and uses some of these concepts to improve various construction processes and stages. From pre-design to building delivery knowledge management principles and briefing frameworks have been implemented across project stakeholders: client, design teams, construction teams, consultants, and facility management teams. At pre-design and design stages, understanding the client’s needs and users’ knowledge are crucial for identifying and articulating the expected requirements and objectives. Due to underperforming results and missed goals and objectives, many projects finish with highly dissatisfied clients and loss of contracts for some organizations. Knowledge capturing has beneficial effects via its principles and methods on requirement elicitation and validation at the briefing stage between user, client and designer. This paper presents the importance and usage of knowledge capturing and reusing in briefing process at pre-design and design stages especially the involvement of client and user, and explores the techniques and technologies that are usable in briefing process for requirement elicitation
Energy Measurements of High Performance Computing Systems: From Instrumentation to Analysis
Energy efficiency is a major criterion for computing in general and High Performance Computing in particular. When optimizing for energy efficiency, it is essential to measure the underlying metric: energy consumption. To fully leverage energy measurements, their quality needs to be well-understood. To that end, this thesis provides a rigorous evaluation of various energy measurement techniques. I demonstrate how the deliberate selection of instrumentation points, sensors, and analog processing schemes can enhance the temporal and spatial resolution while preserving a well-known accuracy. Further, I evaluate a scalable energy measurement solution for production HPC systems and address its shortcomings.
Such high-resolution and large-scale measurements present challenges regarding the management of large volumes of generated metric data. I address these challenges with a scalable infrastructure for collecting, storing, and analyzing metric data. With this infrastructure, I also introduce a novel persistent storage scheme for metric time series data, which allows efficient queries for aggregate timelines.
To ensure that it satisfies the demanding requirements for scalable power measurements, I conduct an extensive performance evaluation and describe a productive deployment of the infrastructure.
Finally, I describe different approaches and practical examples of analyses based on energy measurement data. In particular, I focus on the combination of energy measurements and application performance traces. However, interweaving fine-grained power recordings and application events requires accurately synchronized timestamps on both sides. To overcome this obstacle, I develop a resilient and automated technique for time synchronization, which utilizes crosscorrelation of a specifically influenced power measurement signal. Ultimately, this careful combination of sophisticated energy measurements and application performance traces yields a detailed insight into application and system energy efficiency at full-scale HPC systems and down to millisecond-range regions.:1 Introduction
2 Background and Related Work
2.1 Basic Concepts of Energy Measurements
2.1.1 Basics of Metrology
2.1.2 Measuring Voltage, Current, and Power
2.1.3 Measurement Signal Conditioning and Analog-to-Digital Conversion
2.2 Power Measurements for Computing Systems
2.2.1 Measuring Compute Nodes using External Power Meters
2.2.2 Custom Solutions for Measuring Compute Node Power
2.2.3 Measurement Solutions of System Integrators
2.2.4 CPU Energy Counters
2.2.5 Using Models to Determine Energy Consumption
2.3 Processing of Power Measurement Data
2.3.1 Time Series Databases
2.3.2 Data Center Monitoring Systems
2.4 Influences on the Energy Consumption of Computing Systems
2.4.1 Processor Power Consumption Breakdown
2.4.2 Energy-Efficient Hardware Configuration
2.5 HPC Performance and Energy Analysis
2.5.1 Performance Analysis Techniques
2.5.2 HPC Performance Analysis Tools
2.5.3 Combining Application and Power Measurements
2.6 Conclusion
3 Evaluating and Improving Energy Measurements
3.1 Description of the Systems Under Test
3.2 Instrumentation Points and Measurement Sensors
3.2.1 Analog Measurement at Voltage Regulators
3.2.2 Instrumentation with Hall Effect Transducers
3.2.3 Modular Instrumentation of DC Consumers
3.2.4 Optimal Wiring for Shunt-Based Measurements
3.2.5 Node-Level Instrumentation for HPC Systems
3.3 Analog Signal Conditioning and Analog-to-Digital Conversion
3.3.1 Signal Amplification
3.3.2 Analog Filtering and Analog-To-Digital Conversion
3.3.3 Integrated Solutions for High-Resolution Measurement
3.4 Accuracy Evaluation and Calibration
3.4.1 Synthetic Workloads for Evaluating Power Measurements
3.4.2 Improving and Evaluating the Accuracy of a Single-Node Measuring System
3.4.3 Absolute Accuracy Evaluation of a Many-Node Measuring System
3.5 Evaluating Temporal Granularity and Energy Correctness
3.5.1 Measurement Signal Bandwidth at Different Instrumentation Points
3.5.2 Retaining Energy Correctness During Digital Processing
3.6 Evaluating CPU Energy Counters
3.6.1 Energy Readouts with RAPL
3.6.2 Methodology
3.6.3 RAPL on Intel Sandy Bridge-EP
3.6.4 RAPL on Intel Haswell-EP and Skylake-SP
3.7 Conclusion
4 A Scalable Infrastructure for Processing Power Measurement Data
4.1 Requirements for Power Measurement Data Processing
4.2 Concepts and Implementation of Measurement Data Management
4.2.1 Message-Based Communication between Agents
4.2.2 Protocols
4.2.3 Application Programming Interfaces
4.2.4 Efficient Metric Time Series Storage and Retrieval
4.2.5 Hierarchical Timeline Aggregation
4.3 Performance Evaluation
4.3.1 Benchmark Hardware Specifications
4.3.2 Throughput in Symmetric Configuration with Replication
4.3.3 Throughput with Many Data Sources and Single Consumers
4.3.4 Temporary Storage in Message Queues
4.3.5 Persistent Metric Time Series Request Performance
4.3.6 Performance Comparison with Contemporary Time Series Storage Solutions
4.3.7 Practical Usage of MetricQ
4.4 Conclusion
5 Energy Efficiency Analysis
5.1 General Energy Efficiency Analysis Scenarios
5.1.1 Live Visualization of Power Measurements
5.1.2 Visualization of Long-Term Measurements
5.1.3 Integration in Application Performance Traces
5.1.4 Graphical Analysis of Application Power Traces
5.2 Correlating Power Measurements with Application Events
5.2.1 Challenges for Time Synchronization of Power Measurements
5.2.2 Reliable Automatic Time Synchronization with Correlation Sequences
5.2.3 Creating a Correlation Signal on a Power Measurement Channel
5.2.4 Processing the Correlation Signal and Measured Power Values
5.2.5 Common Oversampling of the Correlation Signals at Different Rates
5.2.6 Evaluation of Correlation and Time Synchronization
5.3 Use Cases for Application Power Traces
5.3.1 Analyzing Complex Power Anomalies
5.3.2 Quantifying C-State Transitions
5.3.3 Measuring the Dynamic Power Consumption of HPC Applications
5.4 Conclusion
6 Summary and Outloo
An Investigation on Benefit-Cost Analysis of Greenhouse Structures in Antalya
Significant population increase across the world, loss of cultivable land and increasing demand for food put pressure on agriculture. To meet the demand, greenhouses are built, which are, light structures with transparent cladding material in order to provide controlled microclimatic environment proper for plant production. Conceptually, greenhouses are similar with manufacturing buildings where a controlled environment for manufacturing and production have been provided and proper spaces for standardized production processes have been enabled. Parallel with the trends in the world, particularly in southern regions, greenhouse structures have been increasingly constructed and operated in Turkey. A significant number of greenhouses are located at Antalya. The satellite images demonstrated that for over last three decades, there has been a continuous invasion of greenhouses on all cultivable land. There are various researches and attempts for the improvement of greenhouse design and for increasing food production by decreasing required energy consumption. However, the majority of greenhouses in Turkey are very rudimentary structures where capital required for investment is low, but maintenance requirements are high when compared with new generation greenhouse structures. In this research paper, life-long capital requirements for construction and operation of greenhouse buildings in Antalya has been investigated by using benefit-cost analysis study
9th International Conference on Business, Technology and Innovation 2020
Welcome to IC – UBT 2020
UBT Annual International Conference is the 9th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent advancements in different research fields, and provide them with a unique forum to share their experiences. It is also the place to support the new academic staff for doing research and publish their work in international standard level.
This conference consists of sub conferences in different fields like: Security Studies Sport, Health and Society Psychology Political Science Pharmaceutical and Natural Sciences Mechatronics, System Engineering and Robotics Medicine and Nursing Modern Music, Digital Production and Management Management, Business and Economics Language and Culture Law Journalism, Media and Communication Information Systems and Security Integrated Design Energy Efficiency Engineering Education and Development Dental Sciences Computer Science and Communication Engineering Civil Engineering, Infrastructure and Environment Architecture and Spatial Planning Agriculture, Food Science and Technology Art and Digital Media
This conference is the major scientific event of the UBT. It is organizing annually and always in cooperation with the partner universities from the region and Europe. We have to thank all Authors, partners, sponsors and also the conference organizing team making this event a real international scientific event.
Edmond Hajrizi, President of UBTUBT – Higher Education Institutio