Browsing by Author "Arı, İsmail"
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Analysis of ALTO protocol over P2P networks
Kökten, Koray (2012-10)Currently, for distributed applications such as Peer-to-Peer (P2P) and Content Delivery Networks (CDNs), the most important challenge is to determine the optimal peer or node selection process, since it sometimes causes ... -
Application-based scheduling for indoor femtocell networks
Mungan, Devin (2013-01)This thesis is concerned with designing a QoS-enabled, application-based scheduler for indoor femtocell networks. For this purpose, a novel scheduler is proposed which takes into account the quality of service (QoS) ... -
Associative and frequentist opponent modeling approaches in automated bilateral negotiations
This thesis mainly focuses on the problem of learning opponent's preferences during the negotiation in bilateral automated negotiation in which agents negotiate with each other to reach an agreement. Accordingly, it addresses ... -
Büyük veri problemlerine çözüm olarak veri akış madenciliği
Ölmezoğulları, Erdi; Arı, İsmail; Çelebi, Ö. F.; Ergüt, S. (IEEE, 2013)Günümüzde bilişim dünyası faydalı bilgiye ulaşma yolunda “büyük veri” problemleri (verinin kütlesi, hızı, çeşitliliği, tutarsızlığı) ile baş etmeye çalışmaktadır. Bu makalede, büyük veri akışları üzerinde İlişkisel Kural ... -
Cost minimization in function-as-a-service computing
Cost in Function-as-a-Service computing is influenced by a number of factors. One of these factors is the amount of memory reserved during the deployment of serverless functions. Reservation of an excessive amount increases ... -
The costs and benefits of turning data into information using big data systems
Koca, Melih (2014-08)This thesis explains problems of and solutions for storing and processing big volumes and streaming types of data in a cost-e ective way for enterprise companies. There are several problems like operational, infrastructural ... -
Data stream analytics and mining in the cloud
Arı, İsmail; Ölmezoğulları, Erdi; Çelebi, Ö. F. (IEEE, 2012)Due to prevalent use of sensors and network monitoring tools, big volumes of data or “big data” today traverse the enterprise data processing pipelines in a streaming fashion. While some companies prefer to deploy their ... -
Democratization of HPC cloud services with automated parallel solvers and application containers
Muhtaroğlu, Nitel; Arı, İsmail; Kolcu, Birkan (Wiley, 2018-11-10)In this paper, we investigate several design choices for HPC services at different layers of the cloud computing architecture to simplify and broaden its use cases. We start with the platform-as-a-service (PaaS) layer and ... -
Democratization of runtime verification for internet of things
İnçki, Koray; Arı, İsmail (Elsevier, 2018-05)Internet of Things (IoT) devices have gained more prevalence in ambient assisted living (AAL) systems. Reliability of AAL systems is critical especially in assuring the safety and well-being of elderly people. Runtime ... -
Design and implementation of a cloud computing service for finite element analysis
Arı, İsmail; Muhtaroğlu, Nitel (Elsevier, 2013-06)This paper presents an end-to-end discussion on the technical issues related to the design and implementation of a new cloud computing service for finite element analysis (FEA). The focus is specifically on performance ... -
Design and implementation of a data stream management system with advanced complex event processing capabilities
Ölmezoğulları, Erdi (2013-06)The world has seen proliferation of data stream applications over the last years. These applications include computer network monitoring, Radio Frequency Identication (RFID)-based supply chain and traffic management systems, ... -
Digital oil refinery: utilizing real-time analytics and cloud computing over industrial sensor data
Khodabakhsh, Athar (2018-12-14)This thesis addresses big data challenges seen in large-scale, mission-critical industrial plants such as oil refineries. These plants are equipped with heavy machinery (boilers, engines, turbines, etc.) that are continuously ... -
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing
Liu, M.; Rundensteiner, E.; Greenfield, K.; Gupta, C.; Wang, S.; Arı, İsmail; Mehta, A. (ACM, 2011-06-12)Many modern applications, including online financial feeds, tag-based mass transit systems and RFID-based supply chain management systems transmit real-time data streams. There is a need for event stream processing technology ... -
E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies
Liu, M.; Rundensteiner, E. A.; Greenfield, K.; Gupta, C.; Wang, S.; Arı, İsmail; Mehta, A. (IEEE, 2010)Many modern applications including tag based mass transit systems, RFID-based supply chain management systems and online financial feeds require special purpose event stream processing technology to analyze vast amounts ... -
Fast, secure, and remote multiboot of FPGAs
Yıldız, Abdullah (2012-09)The purpose of this thesis is to develop an efficient framework to implement secure FPGA-based (Field Programmable Gate Array) systems. An FPGA is a reconfigurable device that has the ability to adapt the hardware during ... -
Fault masking as a service
Gülcü, Koray (2013-01)In service-oriented architectures, composite services depend on a set of partner services to perform their tasks. These partner services may become unavailable due to system and/or network faults, leading to an increased ... -
Finding event correlations in federated wireless sensor networks
Arı, İsmail; Çelebi, Ömer Faruk (IEEE, 2011)Event correlation engines help us find events of interest inside raw sensor data streams and help reduce the data volume, simultaneously. This paper discusses some of the challenges faced in finding event correlations over ... -
Finecloud: Fine-grained cloud service advisory using machine learning
Orhun, Yasemin; İstanbullu, Yiğit; Arı, İsmail (IEEE, 2022)Motivated by real customer problems, we investigated utilization of cloud services at different layers including infrastructure (IaaS), application services (PaaS) and databases (DaaS). We found several issues such as ... -
Finite element analysis in a cloud computing environment
Muhtaroğlu, Nitel (2019-01-04)In this thesis, the challenges faced and lessons learned while establishing a large-scale high performance cloud computing service that enables online mechanical structural analysis and many other scientific applications ... -
Forecasting multivariate time-series data using LSTM and mini-batches
Khodabakhsh, Athar; Arı, İsmail; Bakır, M.; Alagoz, S. M. (Springer, 2020)Multivariate time-series data forecasting is a challenging task due to nonlinear interdependencies in complex industrial systems. It is crucial to model these dependencies automatically using the ability of neural networks ...
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