Bugra gedik software engineering

Stream processing is a new computing paradigm that enables continuous and fast analysis of massive volumes of streaming data. Department of computer science at north carolina state university. Gabriela jacquessilva, bugra gedik, henrique andrade, kunlung wu, ravishankar k. Mehmet ali abbasoglu heeft 6 functies op zijn of haar profiel. Yuprofessor of computer science, university of illinons at chicago verified email at cs. Ted is a nonprofit devoted to spreading ideas, usually in the form of short, powerful talks 18 minutes or less. Publications and talks at technical events computer. Stream processing is a novel distributed computing paradigm that. How to become a software engineer software engineering.

Implementing a highvolume, lowlatency market data processing system on commodity hardware using ibm middleware conference paper january 2009 with 937 reads how we measure reads. Software engineering and management bachelors programme. The scope of the conference covers all topics relevant to eventbased computing ranging from those discussed in related disciplines e. Linkedin is the worlds largest business network, helping professionals like bugra gedik discover inside connections to recommended job. Linkedin is the worlds largest business network, helping professionals like bugra gedik. Most software engineers come from an engineering background, but there are also a substantial number of job descriptions that only require a computer science or information systems undergraduate degree. His research interests are in distributed dataintensive systems with. Dec 25, 2014 view bugra gediks professional profile on linkedin.

Video and image repositories, financial, and sensor data are just a few examples of such datasets in practice. His research interests are in the areas of manycore accelerators, onchip multiprocessing, computer architecture, heterogeneous architectures, cloud computing, gpu computing, and compiler optimizations. Debugging streaming applications is not trivial, since they are typically distributed across multiple nodes and handle large amounts of data. Iyer, a foundation for adaptive fault tolerance in software, proceedings of the 10th ieee international conference and workshop on the engineering of computerbased systems, 2003, pp. The system s declarative stream processing engine bugra gedik. Fundamentals stream processing application design systems and.

Us8949810b2 method for highperformance data stream. Mehmet ali abbasoglu software engineer uber linkedin. View bugra gozuyesil s profile on linkedin, the worlds largest professional community. Ted began in 1984 as a conference where technology, entertainment and design converged, and today covers almost all topics from science to business to global issues. Bugra s corner of the web homepage that contains research and personal information. Prior to that, he was an associate professor in the department of computer engineering. Software engineer at facebook, january 2016 present, menlo park, ca, usa. Reusable software infrastructure for stream processing. View the profiles of professionals named bugra on linkedin.

Us9158837b2 methods and apparatus for adaptive source. I conduct research in the general area of dataintensive distributed systems, with a particular focus on fast data and big data. From a calculus to an execution environment for stream processing nyu cs technical report tr2011945 robert soule. Efficient processing of streaming graphs for evolutionaware clustering m. Yuprofessor of computer science, university of illinons at chicagoverified email at cs.

Watson research center, currently a member of the software tools and techniques group. Elastic scaling for data stream processing semantic scholar. His research interests are in distributed dataintensive systems with a particular focus on fast data and big data. There are different approaches, such as practicing testbehavioral driven development along with using a continuous integration tool to aid with testing your code coverage, like jenkins, travis, etc. Linkedin is the worlds largest business network, helping professionals like bugra gedik discover inside connections to recommended job candidates, industry experts, and business partners. In order to make autoparallelization effective in practice, the.

Bugra gedik, bilkent university proceedings chair thomas heinze, sap. New technology combines gps benefits with privacy protection. Xiaolan j zhang, sujay parekh, bugra gedik, henrique andrade, kunlung wu. Bugra gediks homepage bilkent university computer engineering. Bugra gedik greater seattle area professional profile linkedin. Lowlatency timeportable realtime programming with exotasks. Workshop on software engineering methods in spreadsheets sems, pages 3940, may 2015.

Henrique andrade, bugra gedik, kunlung wu, philip s. Bugra gedik greater seattle area professional profile. Designed and implemented checkpointing and replication techniques for streaming applications. Bugra gedik, bilkent university proceedings chair thomas heinze, sap conference committee grand challenge chairs zbigniew jerzak, sap ag vincenzo gulisano, chalmers university of technology holger ziekow, university of applied sciences furtwangen demo and poster track chairs ioannis katakis, university of athens nesime tatbul, intel labsmit. In 2008, i was admitted to department of computer engineering in bilkent university with full scholarship. A modelbased framework for building extensible, high. Techniques for optimizing data stream processing are provided. Stirewalt has been accepted for the software engineering education track of icse 2007. Safe data parallelism for general streaming pdf, abstract, scott schneider, martin hirzel, bugra gedik, and kunlung wu. Fault injectionbased assessment of partial fault tolerance in stream processing applications. Crossover qa software engineering management from bugra. What are the best universities in germany for software.

This article addresses the profitability problem associated with autoparallelization of generalpurpose distributed data stream processing applications. Bibliography of software language engineering in generated hypertext is. Techniques are disclosed for adaptive source filtering and load shedding in such data stream processing systems. Language level checkpointing support for stream processing. These communities include digital signal processing, databases, operating systems, and complex event processing. Generic windowing support for extensible stream processing. Stream computing platforms, applications, and analytics ibm. During the module, you will have an opportunity to use a number of different software engineering tools, including process simulation tools, configuration management systems and requirements recording tools to address the software engineering challenges associated with realistic business problems. Bugra gedik in recent times, large highdimensional datasets have become ubiquitous. Fault injectionbased assessment of partial fault tolerance. The ones marked may be different from the article in the profile. Bugra gedik in this paper, we study partitioning functions for stream processing systems that employ stateful data parallelism to improve application throughput. Prior to that he was as a research staff member at the ibm thomas j.

In proceedings of the 4th symposium on sdn research sosr 18, march 2018. I was working on stream processingdistributed systems. At this time, there is no other language like spl in the industry that lets software engineers build streaming applications to analyze vast amounts of data. See the complete profile on linkedin and discover bugra s. From a calculus to an execution environment for stream. Autovectorization through code generation for stream processing applications. A complete introduction to building robust and reliable software beginning software engineering demystifies the software engineering methodologies and techniques that professional developers use to design and build robust. Ozturk is an adjunct professor in computer science department. Join facebook to connect with bugra gedik and others you may know.

Henrique andrade, bugra gedik, gabriela jacques da silva, rohit khandekar, vibhor kumar, mark. The techniques include employing a pattern, wherein the pattern facilitates splitting of one or more incoming streams and distributing processing across one or more operators, obtaining one or mote operators, wherein the one or more operators support at least one groupindependent aggregation and join operation on one or more. Cpu load shedding for binary stream joins springerlink. Phd student shaohua xie and professor eileen kraemer coauthored a paper with colleagues at michigan state university that will appear at icse 2008 international conference on software engineering, entitled a study of student strategies for the corrective maintenance of concurrent software, by scott d. Bugra gedik is an associate professor in the department of computer engineering, bilkent university, turkey. Department of computer science at north carolina state. Bugra berk kahraman founder your web project linkedin. Ik, bilkent university big data is revolutionizing how all sectors of our economy do business, including telecommunication, transportation, medical, and. Dec 11, 2007 computer scientists bugra gedik and ling liu explain that, while an orwellian society is not right around the corner, locationbased technologies have already raised major personal privacy issues. S degree in the same department working with assoc.

Traditional debugging techniques like breakpoints often rely on a stoptheworld approach, which may be useful for debugging. An extensible language for distributed stream processing. Prior to that, he was an associate professor in the department of computer. Various research communities have independently arrived at stream processing as a programming model for efficient and parallel computing. From a calculus to an execution environment for stream processing. Design and evaluation of a diagrammatic notation to aid in the understanding of concurrency concepts by shaohua xie, eileen kraemer, and r. Bugra gedik, gabriela jacquessilva, rohit khandekar, vibhore kumar. The following deadline information, conference acceptance rates, and journal impact factors are collected from the internet and may not be accurate. Mehmet ali heeft 6 functies op zijn of haar profiel. Ik, bilkent university big data is revolutionizing how all sectors of our economy do business, including telecommunication, trans. Autoparallelization involves locating regions in the applications data flow graph that can be replicated at runtime to apply data partitioning, in order to achieve scale. List of computer science publications by bugra gedik. View bugra gediks professional profile on linkedin.

Bugra gedik, henrique andrade, kunlung wu, philip s. The bachelors programme in software engineering and management will develop your social, technical, and management skills, all important for a successful career in any domain. For example, in one aspect of the invention, a method for use in filtering data in a distributed data stream processing system, wherein a server receives and processes one or more data streams from one or more data sources, comprises the steps of the server periodically re. Martin hirzel, henrique andrade, bugra gedik, gabriela jacques da silva, rohit khandekar, vibhor kumar, mark. For more information on how we build worldclass remote access teams or how to join us visit jobs subscribe to. In addition to many software engineering advantages such as consistent, uniform, and selfdocumented integration among the different parts of the system, we show intrinsic performance benefits to. Prior to that, he was an associate professor in the department of computer engineering, bilkent university, turkey.

View bugra baturay akaslans profile on linkedin, the worlds largest professional community. Bibliographic content of ieee transactions on services computing, volume 12. Searching for engineering software jobs in seattle. A scalable graph generation algorithm to sample over a given shell distribution bibtex m. Abdullah king saud university software engineering alshaer, ehab university of north carolina at charlotte computer and information science and engineering. Bugra gedik is currently the vp of engineering at unscrambl, inc. Check out the latest job opportunities on geekwork. Scaleup strategies for processing highrate data streams. Bugra gozuyesil customer solutions and logistics manager. Bugra gedik, chitra venkatramani, olivier verscheure, jeffrey david harris, john cox, william szewczyk, paul jones softw.

Martin hirzel, bugra gedik streams that compose using macros that oblige pepm, 2012. Visual debugging for stream processing applications. Proceedings of the 21st international conference on software engineering and knowledge engineering, pp. On the code generation side, we are actively working.

Stack overflow for teams is a private, secure spot for you and your coworkers to find and share information. Bibsleigh streams that compose using macros that oblige. As software engineering is a more systematic and rigorous form of software development, a baccalaureate program of study is absolutely essential. You will practice working in teams to gain experience in various roles important to your future career and to gain an understanding of the strength of a cohesive team. Were upgrading the acm dl, and would like your input. My main research interests include, but not limited to the areas of scalable graph analytics, graph processing middlewares, distributed systems and high performance computing. This is a question which is basically impossible to answer. Bibliography of software language engineering in generated hypertext. In addition to many software engineering advantages such as consistent, uniform, and. This cited by count includes citations to the following articles in scholar. Computer scientists bugra gedik and ling liu explain that, while an orwellian society is not right around the corner, locationbased technologies have. An extensible language for distributed stream processing martin hirzel and scott schneider, ibm thomas j. Scaleup strategies for processing highrate data streams in system s.

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