Towards data cleaning in large public biological databases, Hamid Bagheri. PDF. Toward efficient online scheduling for large-scale distributed machine learning system, Menglu Yu. PDF. Medical image classification under class imbalance, Chuanhai Zhang. Theses/Dissertations from PDF Advanced Python Projects guide you to take the grand adventures in order to carving your name on the peak of the great Everest. We established majestic research development service to provide comprehensive solution for students and research philosophers by our experts across worldwide. Our major scope is to solve researchers and students problem with our innovative and inventive solutions In probability theory and statistics, the Laplace distribution is a continuous probability distribution named after Pierre-Simon blogger.com is also sometimes called the double exponential distribution, because it can be thought of as two exponential distributions (with an additional location parameter) spliced together back-to-back, although the term is also sometimes used to refer to the
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I am an Assistant Professor in the Computer Sciences Department at University of Wisconsin-Madison. I work on database distributed databases thesis and currently focus on 1 transactions and HTAP, 2 new hardware for databases, and 3 cloud-native databases. Please email me your CV if you are interested in working with me. Main Research Publications Students Teaching Service. Before joining UW-Madison, I was a Postdoctoral Associate in the database group at CSAILMIT working with Prof.
Michael Stonebraker and Prof. Samuel Madden. I completed my Ph. in Computer Science at MIT in working with Prof, distributed databases thesis. Srinivas Devadas. I earned my Bachelor of Science B. in from Institute of Microelectronics at Tsinghua UniversityBeijing, China. My research actively distributed databases thesis in three areas: I Transactions and HTAPII New hardware for databasesand III Cloud-native databases.
Below are some sample projects. Research Area I: Transactions and HTAP Scalable transaction processing on multicore CPUs : Computer architectures are moving towards manycore machines with dozens or even hundreds of cores on a single chip.
We develop new techniques for modern database management systems DBMSs to make transaction processing scalable for this level of massive parallelism. DBx [ code ][ VLDB'14 distributed databases thesis Scalability analysis of seven classic concurrency control protocols on a simulated core CPU. TicToc [ code ][ SIGMOD'16 ]: A scalable timestamp-based concurrency control protocol that resolves the timestamp allocation bottleneck through data-driven timestamp management, distributed databases thesis.
Taurus [ code ][ VLDB'20 ]: A lightweight parallel logging distributed databases thesis that avoids the central logging bottleneck by writing to multiple log streams. Bamboo [ code ][ SIGMOD'21 ]: An optimized two-phase locking 2PL protocol that mitigates hotspot overhead by releasing locks early during transaction execution.
Scalable distributed transaction processing : Online transaction processing OLTP DBMSs are increasingly deployed on distributed machines. Compared to a centralized systems, distributed DBMSs face new challenges including extra network latency, requirements of high availability and distributed commitment.
Sundial [ code ][ VLDB'18 ]: A distributed concurrency control protocol that is algorithmically similar to TicToc; Sundial integrates cache coherence and concurrency control into a unified protocol. STAR [ code distributed databases thesis VLDB'19 ]: A distributed DBMS where data replicas use asymmetric architectures e.
A transaction distributed databases thesis executed in the replica that delivers better performance. Aria also achieves higher throughput than previous deterministic DBMSs. Coco [ code ][ VLDB'21 ]: A distributed OLTP DBMS that mitigates the synchronization overhead of distributed commitment and data replication by committing transactions in epochs.
Research Area II: New Hardware for Databases GPU database : GPU is a promising solution for data analytics, driven by the rapid growth of GPU computation power, GPU memory capacity and bandwidth, and PCIe bandwidth. We investigate techniques that can fully unleash the power of GPU in online analytical processing OLAP databases.
Crystal [ code ][ SIGMOD'21 ]: A library that can run full SQL queries in GPU and saturate GPU memory bandwidth. Advanced network technologies : Network is a bottleneck in distributed databases. Emerging network technologies including RDMA, SmartNIC, and programmable switches support different levels of computation within the network and are promising in accelerating distributed databases. Active-memory [ VLDB'19 ]: Active-memory replication is a new high-availability scheme that leverages RDMA to directly update replica's memory and eliminate the computation overhead of log replay, distributed databases thesis.
Research Area III: Cloud-Native Databases Cloud-native data warehouse : Databases are moving to the cloud driven by desirable properties such as elasticity, high-availability, and cost competitiveness.
Modern cloud-native databases adopt a unique storage-disaggregation architecture, where the computation and storage are decoupled. This architecture brings new distributed databases thesis e. Cloud-DW [ VLDB'19 ]: Evaluation of several popular cloud-native data warehouse systems that have different architectures, distributed databases thesis.
PushdownDB [ code ][ ICDE'20 ]: A cloud-native OLAP distributed databases thesis that leverages AWS S3 Select to push down selection, projection, and aggregation to speedup query processing. FlexPushdownDB [ code ][ VLDB'21 ]: A cloud-native OLAP DBMS that combines caching and pushdown at a fine-granularity in a storage disaggregation architecture. Fletcher, Xiangyao Yu, Marten van Dijk, and Srinivas Devadas Integrity Verification for Path Oblivious-RAM Proceedings of the 17th IEEE High Performance Extreme Computing Conference HPECSeptember Ling Ren, Xiangyao Yu, Christopher W.
Fletcher, Marten van Dijk, and Srinivas Devadas Design Space Exploration and Optimization of Path Oblivious RAM in Secure Processors 40th International Symposium on Computer Architecture ISCAJun, distributed databases thesis, Yuan Lin Yeoh, Bo Wang, Xiangyao Yu, Tony Tae Hyoung Kim A 0. Hughes, distributed databases thesis, Nadathur Rajagopalan Satish Hardware Prefetcher for Indirect Access Patterns US Patent Granted, distributed databases thesis, USB2, June Thomas Moscibroda, Zhengping Qian, Mark Eugene Russinovich, Xiangyao Yu, distributed databases thesis, Jiaxing Zhang, Feng Zhao Service Allocation in a Distributed Computing Platform US Patent Granted, USB2, August Thesis Xiangyao Yu Logical Leases: Scalable Hardware and Software Systems through Time Traveling Ph.
Dissertation, September George M. Sprowls Awards for Best Ph. Thesis in Computer Science Xiangyao Yu An Evaluation of Concurrency Control with One Thousand Cores Master Thesis, February Here is a list of my teaching experiences at UW-Madison: CS Topics in Database Management SystemsFall CS Database Management Systems: Design and Implementation, Spring CS Topics in Database Management SystemsFall CS Design the Next-Generation DatabasesDistributed databases thesis Sprowls Award for Outstanding Ph.
Thesis PACT Best Paper Nomination CCS Best Student Paper Award Energy Initiative Fellowship Graduation with Honors from Tsinghua University NOCS Best Paper Nomination First Prize Winner, Challenge Cup, distributed databases thesis, Tsinghua University -- Comprehensive Scholarship at Tsinghua University Third Place in International Young Physicists' Tournament IYPT. SIGMOD SRCProgram Committee SIGMOD IndustryProgram Committee ICDEProgram Committee SIGMODProgram Committee ICDEProgram Committee VLDBProgram Committee SIGMODProgram Committee SIGMOD DemoProgram Committee VLDBProgram Committee SIGMODProgram Committee SIGMOD SRCProgram Committee VLDB DemoProgram Committee SOCCdistributed databases thesis, Program Committee DASFAAProgram Committee.
Xiangyao Yu Assistant Professor Database Group Computer Sciences DepartmentUniversity of Wisconsin-Madison yxy AT cs. edu RoomW. Dayton St, Madison WI [C.
Learn System design : How distributed datastore works(basics)?
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Nov 22, · TCSS Research Seminar in Distributed Systems (, max. 5) Discusses recent developments in distributed systems, focusing on applications and advancements in the areas of distributed systems, cloud computing, and networking. Primarily consists of reading papers and surveying the latest implementation methods, tools, and frameworks enabling Advanced network technologies: Network is a bottleneck in distributed databases. Emerging network technologies including RDMA, SmartNIC, and programmable switches support different levels of computation within the network and are promising in accelerating distributed databases. Thesis. Xiangyao Yu Logical Leases: Scalable Hardware and In probability theory and statistics, the Laplace distribution is a continuous probability distribution named after Pierre-Simon blogger.com is also sometimes called the double exponential distribution, because it can be thought of as two exponential distributions (with an additional location parameter) spliced together back-to-back, although the term is also sometimes used to refer to the
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