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Conference Object Citation - WoS: 13A Decentralized Application for Secure Messaging in a Trustless Environment(Ieee, 2018) Abdulaziz, Mohamed; Culha, Davut; Yazici, AliBlockchain technology has been seeing widespread interest as a means to ensure the integrity, confidentiality and availability of data in a trustless environment. They are designed to protect data from both internal and external cyberattacks by utilizing the aggregated power of the network to resist malicious efforts. In this article, we will create our own decentralized messaging application utilizing the Ethereum Whisper protocol. Our application will be able to send encrypted messages both securely and anonymously. We will utilize the Ethereum platform to deploy our blockchain network. This application would be resistant to most suppression tactics due to its distributed nature and adaptability of its communication protocol.Conference Object Citation - WoS: 7Successful Requirement Elicitation by Combining Requirement Engineering Techniques(Ieee, 2008) Mishra, Deepti; Mishra, Alok; Yazici, AliThe role of customers and other stakeholders is becoming increasingly significant during requirement engineering activities. Methods of eliciting requirements are now more co-operative. There are many techniques to obtain requirements from customers. Selecting the right techniques according to the characteristics of the project is very important. In some complex problems, combination of requirement engineering techniques should be applied for efficient and successful requirement engineering process. In this paper, we have presented the application of combination of requirement engineering techniques for a real life complex project (Supply Chain Management) with higher requirements volatility developed in a small scale software development organization, This will help in understanding requirements elicitation for such kind of complex software and facilitate in selecting the appropriate techniques towards getting the consistent and complete requirements.Conference Object Informatics Engineering Education in Turkey and Expectations of Software Industry(Ieee, 2018) Yazici, Ali; Mishra, Alok; Karakaya, Ziya; Ustunkok, TolgaIn this study, using the OSYM data, the number of intakes in Informatics Engineering programs in Turkey, accreditation data and the medium of instruction of the program are summarized for the years 2016 and 2017. In addition, the software sector's expectations from the informatics engineering graduates are reassessed based on the academic studies. The developed knowledge-skill gap set was used to evaluate the situation in Turkish informatics engineering programs. Sector expectations are discussed in the context of 2017-2019 Turkey Software Sector Strategy and Action Plan prepared by the Ministry of Science, Industry and Technology of Turkey and some proposals are made for the academia. As a result, it was observed that the expectations of the software industry were similar in all studies. Additionally, the expectations were changed in the direction of developing technologies and this change should be reflected in the informatics engineering programs.Conference Object A Casestudy of Data Models in Data Warehousing(Ieee, 2008) Mishra, Deepti; Yazici, Ali; Basaran, Beril PinarData warehousing (DFV) provides an excellent approach in transforming operational data into useful and reliable information to support the decision making process in any organization. In this paper, a case study is performed to implement a DW. This case-study is used to describe and compare various conceptual and logical design models for data warehousing. This comparison is done to find which of the conceptual and logical data models are more appropriate for implementing data warehouse for sales and shipping system.Conference Object Perceptions, Expectations and Implementations of Big Data in Public Sector(Ieee, 2018) Dogdu, Erdogan; Ozbayoglu, Murat; Yazici, Ali; Karakaya, ZiyaBig Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted in huge inflows of streaming data coming from variety of sources, ranging from financial streaming data to social media tweets, or wearable health gadgets to drone flight logs. The processing and analysis of such data is a difficult task, but as appointed by many IT experts, it is crucial to have a Big Data Implementation plan in today's challenging industry standards. In this study, we performed a survey among IT professionals working in the public sector and tried to address some of their implementation issues and their perception of Big Data today and their expectations about how the industry will evolve. The results indicate that most of the public sector professionals are aware of the current Big Data requirements, embrace the Big Data challenge and are optimistic about the future.Conference Object Citation - WoS: 28A Comparison of Stream Processing Frameworks(Ieee, 2017) Karakaya, Ziya; Yazici, Ali; Alayyoub, MohammedThis study compares the performance of Big Data Stream Processing frameworks including Apache Spark, Flink, and Storm. Also, it measures the resource usage and performance scalability of the frameworks against a varying number of cluster sizes. It has been observed that, Flink outperforms both Spark and Storm under equal constraints. However, Spark can be optimized to provide the higher throughput than Flink with the cost of higher latency.Conference Object The Romberg-Like Parallel Numerical Integration on a Cluster System(Ieee, 2009) Yazici, AliIn this paper, an approximation of a double integral over a triangular region using a Romberg-like buffered extrapolation technique is considered. A master-worker algorithm organization was developed and implemented using the Message Passing Interface (MPI) paradigm which aims at computing the function f(x,y) at the nodes of the triangle by the worker processes in parallel. The algorithm is implemented on a Sun Cluster consisting of 8xX2200 Sun Fire dual core processors using Sun's OpenMPI message passing environment. Here, the Sun Studio Performance Analyzer is utilized to display the runtime behavior of the processes and CPU's involved in the computations. A simple model is developed to predict the speed-up factor.Conference Object Systematic Mapping for Big Data Stream Processing Frameworks(Ieee, 2016) Alayyoub, Mohammed; Yazici, Ali; Karakaya, ZiyaThere has been lots of discussions about the choice of a stream processing framework (SPF) for Big Data. Each of the SPFs has different cutting edge technologies in their steps of processing the data in motion that gives them a better advantage over the others. Even though, the cutting edge technologies used in each stream processing framework might better them, it is still hard to say which framework bests the rest under different scenarios and conditions. in this study, we aim to show trends and differences about several SPFs for Big Data by using the Systematic Mapping (SM) approach. To achieve our objectives, we raise 6 research questions (RQs), in which 91 studies that conducted between 2010 and 2015 were evaluated. We present the trends by classifying the research on SPFs with respect to the proposed RQs which can help researchers to obtain an overview of the field.
