Mountain View, California, United States
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Licenses & Certifications

Publications

Courses

  • Advanced Cloud Computing

    15-719

  • Algorithms, Part I

    Coursera

  • Algorithms: Design and Analysis, Part 1

    Coursera

  • Cloud Computing(AWS)

    15-619

  • Data Communications and Computer Networks

    -

  • Data Structures

    -

  • Distributed System

    15-640

  • How to Write Fast Code(Parallel Computing)

    18-645

  • Introduction to Computer System

    15-513

  • Java Smart Phone Developemnt(Android)

    18-641

  • Linear Algebra

    -

  • Machine Learning

    Coursera

  • Microcomputer System Design and Application

    -

  • Object-Oriented Programming

    -

  • Principle and Interface Technology of Microprocessors

    -

  • Principles of Software Construction: Objects, Design, and Concurrency

    15-214

  • Probability and Mathematical Statistics

    -

  • Programming Mobile Applications for Android Handheld Systems: Part 1

    Coursera

  • Service Oriented Computing(Web Services)

    18-655

  • Signals and Systems

    -

  • Software Technology

    -

  • Storage System

    18-746

Projects

  • Android Game Development

    • Developed a simple Android game with the music and history record named 2048 from scratch.
    • Implemented gesture recognition simply and used SharedPreferences to store data.
    • Skills: Java, Android, UI Design, Testing.

  • CloudFS - A Cloud-Backed Hybrid File System

    -

    • Designed and implemented a FUSE based filesystem which integrates solid state devices (SSDs) and Cloud storage services (Amazon S3, etc.)
    • Support size based data placement: small data objects are placed on the SSD and large data objects are placed on the Cloud
    • Support block level deduplication: divide data objectss into segments using Rabin fingerprinting. The segments will be deduplicated before being stored to cloud.
    • Support snapshots: user can create, delete and restore…

    • Designed and implemented a FUSE based filesystem which integrates solid state devices (SSDs) and Cloud storage services (Amazon S3, etc.)
    • Support size based data placement: small data objects are placed on the SSD and large data objects are placed on the Cloud
    • Support block level deduplication: divide data objectss into segments using Rabin fingerprinting. The segments will be deduplicated before being stored to cloud.
    • Support snapshots: user can create, delete and restore snapshots of CloudFS. Snapshots are also deduplicated.

  • Fault-tolerant "Quick Fire"​ Application with PAXOS

    -

    • Implemented PAXOS protocol on RPC-based backend storage servers to ensure distributed consensus, and tolerate up to half server failures, and created a simple game application based on PAXOS.
    • Used heart beat to detect node failure, and launches a replacement node which automatically recovers data from other nodes.

    Other creators
  • Flash Translation Layer (FTL) for SSD

    -

    • Designed and implemented a flash translation layer (FTL) for an emulated solid state drive (SSD)
    • Support address translation with logging: translate LBA to PBA with the help of log-reservation block
    • Support garbage collection: perform cleaning if a log-reservation block is full to reclaim space
    • Support wear leveling: wear all blocks as evenly as possible to extend lifetime of SSD

  • Intelligent Scheduling on YARN

    -

    Set up KVM on five physical super computer. Launch different number of VMs with totally different resources allocated to each. Install Yarn on all these VMs and run self-implemented scheduler to schedule MPI and GPU jobs on that.

    • Built a virtual machine-based cloud with Hadoop YARN deployed.
    • Designed and implemented a YARN scheduler to perform heterogeneity-aware, placement preference-aware and hard/soft constraints-aware scheduling for MPI and GPU jobs.
    • Designed a N-step…

    Set up KVM on five physical super computer. Launch different number of VMs with totally different resources allocated to each. Install Yarn on all these VMs and run self-implemented scheduler to schedule MPI and GPU jobs on that.

    • Built a virtual machine-based cloud with Hadoop YARN deployed.
    • Designed and implemented a YARN scheduler to perform heterogeneity-aware, placement preference-aware and hard/soft constraints-aware scheduling for MPI and GPU jobs.
    • Designed a N-step search greedy algorithm to minimize average completion time of all jobs.
    • Design test trace files used to define the applications that will be scheduled by YARN.

    Other creators
  • Juicy Meeting, an event and location based social app on Android

    -

    A social application, focuses on notifying events based on client’s location and creating group chats only during the activities.
    • Utilized Google Map API to calculate the distance between the event and client, also show the location map.
    • Displayed large bitmaps efficiently through processing bitmaps off the UI thread and caching bitmaps.
    • Created RESTful API and implemented web services for local(SQLite) and remote(AWS) use.
    • Implemented a socket chat server to handler…

    A social application, focuses on notifying events based on client’s location and creating group chats only during the activities.
    • Utilized Google Map API to calculate the distance between the event and client, also show the location map.
    • Displayed large bitmaps efficiently through processing bitmaps off the UI thread and caching bitmaps.
    • Created RESTful API and implemented web services for local(SQLite) and remote(AWS) use.
    • Implemented a socket chat server to handler client requests and forward messages
    • Demo: https://youtu.be/0cc3D6n9pi0

    Other creators
    See project
  • Twitter Analytics Web Service Based on Cloud Computing

    -

    A Web Service for supporting high-throughput analytical queries on large twitter dataset.
    • Implemented high throughput web service using AWS offerings including EC2, ELB and CloudWatch.
    • Performed data extract, transform and load process on over 1TB dataset using MapReduce.
    • Conducted MySQL and HBase schema design and performance tuning, achieved top 5% performance.

    Other creators
  • Workflow-Centric Scientific Social Network of Apache

    -

    • Designed interfaces between frontend and backend based on requirements.
    • Implemented backend functions including Subscription, Friends, Tag, etc. with Play Framework.
    • Code is being merged into Apache Code Base.
    • URL: http://einstein.sv.cmu.edu:9041

    Other creators
    See project
  • Knowledge Labs(A web application built at HackingEDU)

    -

    A Web Application with front-end and back-end, to find your inner passion for learning, and assist you in finding your future career.
    • Designed and implemented a RESTful API using java Servlet and developed a responsive web UI using Bootstrap and jQuery.
    • Built a visible tree-like system to represent the relationship between courses and possible careers.
    • Utilized APIs such as IBM BlueMix and Backand to handle the backend services, Course Hero to deal with course information.

    Other creators
    See project
  • Rotating LED Display

    -

    • Developed a rotating display based on MCU F020 in C language, and with infrared remote control, electric machinery, two-color LED and so on.
    • Implemented an adaptive display algorithm, which made the display time match the changeable rotational speed.

    Other creators
  • Simulation for plasmonic light-emission enhancement with metal nanoparticles in visible range and near- infrared range

    -

    • Simulated for plasmonic light-emission enhancement with metal nanoparticles by FDTD.
    • Designed metal nanostructures based on Si and got 12-fold enhancement of light emitting in the near-infrared.

    Other creators
    • Liang Xia

Honors & Awards

  • Excellent Graduate of Zhejiang University

    -

    Honor for top 15% graduates in Zhejiang University

  • Five-star Volunteer in Zhejiang University(450hr+)

    -

    Honor for students who work as a volunteer for more than 250 hours

Languages

  • English

    Full professional proficiency

  • Chinese

    Native or bilingual proficiency

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