Snowlake is a multi-concept and powerful site template contains rich layouts with possibility of unlimited combinations & beautiful elements.
DDPS Lab Seminar
Our Seminar Topic Covers State-of-the-art Computer System Research
About
We hold seminars on topics such as distributed system, system for AI, serverless computing, large-scale platforms, and overall cloud computing.
The information on the seminar is as follows
- Every Thursday 12:00 - 13:30
- T-LAB(627), Future Hall, Kookmin University
- Topic: ATC, EuroSys, HPDC, SC 2023 Papers
If you want to participate in the seminar, please contact to professor Kyungyong Lee.
Schedule
| Date | Presenter | Topic | Link | Slide |
|---|---|---|---|---|
| 2024-11-20 | Jaeil Hwang | SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud | paper | ppt |
| 2024-11-13 | Yurim Kim | CoSpot: a cooperative VM allocation framework for increased revenue from spot instances | paper | ppt |
| 2024-11-06 | Seungwoo Jeong | ServerlessLLM: Low-Latency Serverless Inference for Large Language Models | paper | ppt |
| 2024-10-30 | Sungkyu Cheon | MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving | paper | ppt |
| 2024-09-11 | Junho Lim | CrossMapping: Harmonizing Memory Consistency in Cross-ISA Binary Translation | paper | ppt |
| 2024-09-04 | Seokhyeon Kang | CWASI: A WebAssembly Runtime Shim for Inter-function Communication in the Serverless Edge-Cloud Continuum | paper | ppt |
| 2024-08-29 | Kyunghwan Kim | ML Training with Cloud GPU Shortages: Is Cross-Region the Answer? | paper | ppt |
| 2024-08-22 | Jaeil Hwang | Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor | paper | ppt |
| 2024-07-18 | Sungkyu Cheon | Pyxis: Scheduling Mixed Tasks in Disaggregated Datacenters | paper | ppt |
| 2024-07-11 | Junho Lim | Nomad: Cross-Platform Computational Offloading and Migration in Femtoclouds Using WebAssembly | paper | ppt |
| 2024-07-04 | Seokhyeon Kang | FunLess: Functions-as-a-Service for Private Edge Cloud Systems | paper | ppt |
| 2024-06-20 | Kyunghwan Kim | Erlang: Application-Aware Autoscaling for Cloud Microservices | paper | ppt |
| 2024-06-13 | Jaeil Hwang | Can't Be Late: Optimizing Spot Instance Savings under Deadlines | paper | ppt |
| 2024-05-30 | Yoonseo Hur | CloudProphet: A Machine Learning-Based Performance Prediction for Public Clouds | paper | ppt |
| 2024-05-16 | Seungwoo Jeong | SpotServe: Serving Generative Large Language Models on Preemptible Instances | paper | ppt |
| 2024-05-02 | Sungkyu Cheon | DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud | paper | ppt |
| 2024-04-11 | Kyumin Kim | λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions | paper | ppt |
| 2024-04-04 | Viktoriya Mircheva | Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time | paper | ppt |
| 2024-03-28 | Junho Lim | ResPCT_fast checkpointing in non-volatile memory for multi-threaded applications | paper | ppt |
| 2024-03-21 | Seokhyeon Kang | How Far We’ve Come - A Characterization Study of Standalone WebAssembly Runtimes | paper | ppt |
| 2024-03-14 | Kyunghwan Kim | Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances | paper | ppt |
| 2024-03-07 | Jaeil Hwang | Monte Carlo Simulation-Based Robust Workflow Scheduling for Spot Instances in Cloud Environments | paper | ppt |
| 2024-02-29 | Yoonseo Hur | MAPLE: Microprocessor A Priori for Latency Estimation | paper | ppt |
| 2024-02-22 | Kyumin Kim | Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices | paper | ppt |
| 2024-02-01 | Sungkyu Cheon | FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing | paper | ppt |
| 2024-01-25 | Viktoriya Mircheva | LLM in a flash: Efficient Large Language Model Inference with Limited Memory | paper | ppt |
| 2024-01-18 | Junho Lim | Catalyzer: Sub-millisecond Startup for Serverless Computing with Initialization-less Booting | paper | ppt |
| 2024-01-04 | Seokhyeon Kang | Pushing Serverless to the Edge with WebAssembly Runtimes | paper | ppt |
| 2023-12-14 | Kyunghwan Kim | Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs | paper | ppt |
| 2023-11-30 | Jaeil Hwang | Fault-Tolerant Containers Using NiLiCon | paper | ppt |
| 2023-11-23 | Yoonseo Hur | Sizeless: Predicting the Optimal Size of Serverless Functions | paper | ppt |
| 2023-11-16 | Viktoriya Mircheva | DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion | paper | ppt |
| 2023-11-09 | Seungwoo Jeong, Sungkyu Cheon | Comparative Analysis of Inference Performance Using Web Assembly | ppt | |
| 2023-11-02 | Jaeil Hwang, Yoonseo Hur | Everything about Optimization2 | ppt | |
| 2023-10-26 | Junho Lim | Scalable Validation of Binary Lifters | paper | ppt |
| 2023-10-12 | Seungkyu Jung, Sungkyu Chun | WebAssembly | paper | ppt |
| 2023-10-05 | Seokhyeon Kang | Everything about Optimization | ppt | |
| 2023-09-14 | Kyumin Kim | Outsourcing Data Processing Jobs With Lithops | paper | ppt |
| 2023-08-31 | Kyunghwan Kim | Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays | paper | ppt |
| 2023-08-24 | Jaeil Hwang | Cloud Configuration Optimization for Recurring Batch-Processing Applications | paper | ppt |
| 2023-08-03 | Yoonseo Hur | DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks | paper | ppt |
| 2023-07-20 | Viktoriya Mircheva | Orca: A Distributed Serving System for Transformer-Based Generative Models | paper | ppt |
| 2023-07-13 | Junho Lim | Edge computing: the case for heterogeneous-ISA container migration | paper | ppt |
| 2023-07-06 | Seokhyeon Kang | Edge computing: the case for heterogeneous-ISA container migration | paper | ppt |
| 2023-06-29 | Kyunghwan Kim | SkyPilot: An Intercloud Broker for Sky Computing | paper | ppt |
| 2023-06-22 | Jaeil Hwang | Assessing the Current State of AWS Spot Market Forecastability | paper | ppt |
| 2023-06-15 | Yoonseo Hur | Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models | paper | ppt |
| 2023-06-08 | Viktoriya Mircheva | Transformer Model | ppt | |
| 2023-06-01 | Junho Lim | Fast in-memory CRIU for docker containers | paper | ppt |
| 2023-05-25 | Seokhyeon Kang | Towards a Multi-objective Scheduling Policy for Serverless-based Edge-Cloud Continuum | paper | ppt |
| 2023-05-18 | Kyunghwan Kim | Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs | paper | ppt |
| 2023-05-11 | Jaeil Hwang | Spot-on: A Checkpointing Framework for Fault-Tolerant Long-running Workloads on Cloud Spot Instances | paper | ppt |
| 2023-04-20 | Yoonseo Hur | Mobius: Fine Tuning Large-Scale Models on Commodity GPU Servers | paper | ppt |
| 2023-04-03 | Junho Lim | Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds | paper | ppt |
| 2023-03-20 | Seokhyeon Kang | Efficiently Improving the Performance of Serverless Applications with Microtask-based Scheduling | paper | ppt |
| 2023-03-13 | Kyunghwan Kim | Spot Virtual Machine Eviction Prediction in Microsoft Cloud | paper | ppt |
| 2023-03-06 | Jaeil Hwang | DeepAR: Probabilistic forecasting with autoregressive recurrent networks | paper | ppt |
| 2023-02-13 | Jaeghang Choi | HetSev: Exploiting Heterogeneity-Aware Autoscaling and Resource-Efficient Scheduling for Cost-Effective Machine-Learning Model Serving | paper | ppt |
| 2023-02-06 | Yoonseo Hur | MIGPERF: A Comprehensive BenchMark for deep learning training and inference workloads on Multi-Instance GPUS | paper | ppt |
| 2023-01-30 | Junage Park | SLO-Aware Inference Scheduler for Heterogeneous Processors in Edge Platforms | paper | ppt |
| 2023-01-16 | Jaeil Hwang | Estimating Cloud Application Performance Based on Micro-Benchmark Profiling | paper | ppt |
| 2023-01-02 | Kyunghwan Kim | Restoring Uniqueness in MicroVM Snapshots | paper | ppt |
| 2022-12-26 | Subin Park | Hermod: Principled and Practical Scheduling for Serverless Functions | paper | ppt |
| 2022-12-05 | Jaeghang Choi | Serving Machine Learning Inference Using Heterogeneous Hardware | paper | ppt |
| 2022-11-14 | Yoonseo Hur | Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training | paper | ppt |
| 2022-10-31 | Jungae Park | KCSS: Kubernetes container scheduling strategy | paper | ppt |
| 2022-10-17 | Jaeil Hwang | FarSpot: Optimizing Monetary Cost for HPC Applications in the Cloud Spot Market | paper | ppt |
| 2022-09-26 | Kyunghwan Kim | Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework | paper | ppt |
| 2022-08-29 | Subin Park | Differentiate Quality of Experience Scheduling for Deep Learning Inferences with Docker Containers in the Cloud | paper | ppt |
| 2022-08-22 | Jaeghang Choi | An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks | paper | ppt |
| 2022-08-08 | Yoonseo Hur | HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning | paper | ppt |
| 2022-08-01 | Unho Choi | Serverless Workflows for Containerised Applications in the Cloud Continuum | paper | ppt |
| 2022-07-18 | Jungae Park | A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices with Heterogeneous Hardware | paper | ppt |
| 2022-07-11 | Sungjae Lee | Locality-aware Load-Balancing For Serverless Clusters | paper | ppt |
| 2022-07-04 | Jaeil Hwang | How Not to Bid the Cloud | paper | ppt |
| 2022-06-27 | Subin Park | Scrooge: A Cost-Effective Deep Learning Inference System | paper | ppt |
| 2022-05-30 | Jaeghang Choi | Llama: A Heterogeneous & Serverless Framework for Auto-Tuning Video Analytics Pipelines | paper | ppt |
| 2022-05-23 | Yoonseo Hur | SRIFTY: SWIFT AND THRIFTY DISTRIBUTED NEURAL NETWORK TRAINING ON THE CLOUD | paper | ppt |
| 2022-05-02 | Unho Choi | Cartel: A System for Collaborative Transfer Learning at the Edge | paper | ppt |
| 2022-04-11 | Sohyeon Baek | Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training | paper | ppt |
| 2022-04-04 | Jungae Park | AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning | paper | ppt |
| 2022-03-21 | Jaeil Hwang | SpotWeb: Running Latency-sensitive Distributed Web Services on Transient Cloud Servers | paper | ppt |
| 2022-03-14 | Subin Park | Lorien: Efficient Deep Learning Workloads Delivery | paper | ppt |
| 2022-03-07 | Jaeghang Choi | MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms | paper | ppt |
| 2022-02-28 | Yoonseo Hur | Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs | paper | ppt |
| 2022-02-14 | Unho Choi | Couper: DNN Model Slicing for Visual Analytics Containers at the Edge | paper | ppt |
| 2022-02-07 | Sungjae Lee | RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances | paper | ppt |
| 2022-01-24 | Sohyeon Baek | Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training | paper | ppt |
| 2022-01-17 | Jungae Park | AI on the Edge: Characterizing AI-based IoT Applications Using Specialized Edge Architectures | paper | ppt |
| 2022-01-10 | Subin Park | Rafiki: Machine Learning as an Analytics Service System | paper | ppt |
| 2022-01-03 | Jaeghang Choi | Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving | paper | ppt |
| 2021-11-15 | Yoonseo Hur | Carbon Emissions and Large Neural Network Training | paper | ppt |
| 2021-11-08 | Sohyeon Baek | Amazon SageMaker Neo | ppt | |
| 2021-10-18 | Unho Choi | Cirrus: a Serverless Framework for End-to-end ML Workflows | paper | ppt |
| 2021-09-27 | Sungjae Lee | Tiresias: A GPU Cluster Manager for Distributed Deep Learning | paper | ppt |
| 2021-09-13 | Jungae Park | Towards Cloud-Edge Collaborative Online Video Analytics with Fine-Grained Serverless Pipeline | paper | ppt |
| 2021-08-30 | Subin Park | Interference-Aware Scheduling for Inference Serving | paper | ppt |
| 2021-08-23 | Jaeghang Choi | Characterizing the Deep Neural Networks Inference Performance of Mobile Applications | paper | ppt |
| 2021-08-09 | Yoonseo Hur | Horus : Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems | paper | |
| 2021-08-02 | Unho Choi | BigDL : A Distributed Deep Learning Framework for Big Data | paper | ppt |
| 2021-07-26 | Sungjae Lee | SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks | paper | ppt |
| 2021-07-19 | Jungae Park | Benchmarking TPU, GPU, and CPU Platforms for Deep Learning | paper | ppt |
| 2021-07-12 | Subin Park | Iteration Time Prediction for CNN in Multi-GPU Platform: Modeling and Analysis | paper | ppt |
| 2021-07-05 | Jaeghang Choi | INFaaS: A Model-less and Managed Inference Serving System | paper | ppt |
| 2021-06-28 | Yoonseo Hur | OFC: an opportunistic caching system for FaaS platforms | paper | |
| 2021-06-21 | Unho Choi | Finding the Right Cloud Configuration for Analytics Clusters | paper | ppt |
| 2021-05-31 | Sungjae Lee | RubberBand: Cloud-based Hyperparameter Tuning | paper | ppt |
| 2021-05-24 | Jungae Park | Serverless Linear Algebra | paper | ppt |
| 2021-04-26 | Yoonseo Hur | Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments | paper | |
| 2021-04-12 | Unho Choi | Improving the Accuracy, Adaptability, and Interpretability of SSD Failure Prediction Models | paper | ppt |
| 2021-04-05 | Taeseon Son | Early Exit에 대하여 | paper | ppt |
| 2021-03-29 | Sungjae Lee | Once for All: Train One Network and Specialize it for Efficient Deployment | paper | ppt |
| 2021-03-22 | Subin Park | Personalizing Session-Based Recommendations with Hierarchical Recurrent Neural Networks | paper | ppt |
| 2021-03-15 | Subin Park | Session-Based Recommendations with Recurrent Neural Networks | paper | ppt |
| 2021-03-08 | Jungae Park | Occupy the Cloud: Distributed Computing for the 99% | paper | ppt |
| 2021-02-22 | Jaeghang Choi | Wukong: a scalable and locality-enhanced framework for serverless parallel computing | paper | ppt |
| 2021-02-15 | Yoonseo Hur | Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors | paper | ppt |
| 2021-02-08 | Sungjae Lee | PaGraph: Scaling GNN Training on Large Graph via Computation-aware Caching | paper | ppt |
| 2021-02-01 | Unho Choi | Making Edge Computing Resilient | paper | ppt |
| 2021-01-18 | Taeseon Son | Elastic Parameter Server Load Distribution in Deep Learning Clusters | paper | ppt |
| 2021-01-11 | Yoonseo Hur | Dimensionality Reduction | ppt | |
| 2020-11-26 | Jungae Park | Stratus: Clouds with Microarchitectural Resource Management | paper | ppt |
| 2020-11-19 | Jueon Park | A Cloud Gaming Framework for Dynamic Graphical Rendering Towards Achieving Distributed Game Engines | paper | ppt |
| 2020-11-12 | Jaeghang Choi | Disaggregation and the Application | paper | ppt |
| 2020-11-05 | Unho Choi | No Reservations: A First Look at Amazon Reserved Instance Marketplace | paper | ppt |
| 2020-10-29 | Taeseon Son | Auto-sizing for Stream Processing Applications at LinkedIn | paper | ppt |
| 2020-10-15 | Sungjae Lee | Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems | paper | ppt |
| 2020-10-08 | Jungae Park | On the Impact of Isolation Costs on Locality-aware Cloud Scheduling | paper | ppt |
| 2020-09-24 | Taeseon Son | Apache Parquet | ppt | |
| 2020-09-17 | Jueon Park | A Cloud-native Architecture for Replicated Data Services | paper | ppt |
| 2020-09-10 | Jaeghang Choi | Towards Plan-aware Resource Allocation in Serverless Query Processing | paper | ppt |
| 2020-09-03 | Unho Choi | Securing RDMA for HIgh-Performance Datacenter Storage Systems | paper | ppt |
| 2020-08-26 | Taeseon Son | Resource Efficient Stream Processing Platform with Latency-Aware Scheduling Algorithms | paper | ppt |
| 2020-08-12 | Jungae Park | Serverless Boom or Bust? An Analysis of Economic Incentives | paper | ppt |
| 2020-08-05 | Sungjae Lee | Towards GPU Utilization Prediction for Cloud Deep Learning | paper | ppt |
| 2020-07-29 | Jueon Park | More IOPS for Less: Exploiting Burstable Storage in Public Clouds | paper | ppt |
| 2019-04-02 | Jeongchul Kim | SOCK : Rapid Task Provisioning with Serverless-Optimized Containers | paper | ppt |
| 2019-02-14 | Sungsoo Son | Dynamic Control of CPU Usage in a Lambda Platform | paper | ppt |
| 2019-01-30 | Jungae Park | μSuite: A Benchmark Suite for Microservices | paper | ppt |
| 2019-01-30 | Jisoo Min | Matrix Computations and Optimization in Apache Spark | paper | ppt |
| 2019-01-24 | Myungjun Son | Exploring Serverless Computing for Neural Network Training | paper | ppt |
| 2019-01-24 | Jeongchul Kim | Serverless Computing : One Step Forward, Two Steps Back | paper | ppt |
| 2019-01-17 | Hyunjune Kim | HoloClean: Holistic Data Repairs with Probabilistic Inference | paper | ppt |
| 2019-01-17 | Changwoo Lee | Machine Learning Winter School 2018 | paper | ppt |
| 2018-12-12 | Jeongchul Kim | BIGDATA 2018 | paper | ppt |
| 2018-10-09 | Hyunjune Kim | A Comparative Study of Containers and Virtual Machines in Big Data Environment | paper | ppt |
| 2018-10-02 | Sungsoo Son | Toward Cost-effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory | paper | ppt |
| 2018-09-18 | Changwoo Lee | Performance Evaluation of a MongoDB and Hadoop Platform for Scientific Data Analysis | paper | ppt |
| 2018-09-04 | Jeongchul Kim | Selecta: Heterogeneous Cloud Storage Configuration for Data Analytics | paper | ppt |
| 2018-08-02 | Sungsoo Son | Peeking Behind the Curtains of Serverless Platforms | paper | ppt |
| 2018-07-19 | Myungjun Son | CLOUD2018 & Lessons from OSG School 2018 | ppt | |
| 2018-07-05 | Jeongchul Kim | Improving spark application throughput via memory aware task co-location: a mixture of experts approach | paper | ppt |
| 2018-06-28 | Myungjun Son | Dione: Profiling spark applications exploiting graph similarity | paper | ppt |
| 2018-06-18 | Sungsoo Son | Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks | paper | ppt |
| 2018-03-28 | Jeongchul Kim | PerfOrator: eloquent performance models for Resource Optimization | paper | ppt |
| 2018-03-21 | Sungsoo Son | Performance Characterization and Acceleration of In-Memory File Systems for Hadoop and Spark Applications on HPC Clusters | paper | ppt |
| 2018-03-15 | Myungjun Son | Design of Experiments | paper | ppt |
| 2018-02-28 | Jeongchul Kim | WSDM CUP 2018 | paper | ppt |
| 2018-02-21 | Sungsoo Son | SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs | paper | ppt |
| 2018-01-24 | Myungjun Son | Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce | paper | ppt |
| 2018-01-17 | Sungsoo Son | Resource Elasticity for Large-Scale Machine Learning | paper | ppt |
| 2017-12-27 | Kyungyong Lee | Autonomic BigData Cloud Computing | ||
| 2017-10-30 | Myungjun Son | Predicting cloud performance for HPC applications: a user-oriented approach | paper | ppt |
| 2017-10-23 | Jeongchul Kim | boosting (ADAboosting and Gradient boosting) and random forest | ppt | |
| 2017-10-16 | Sungsoo Son | Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics | paper | |
| 2017-10-10 | Namhyun Kim | Random forest and decision tree | coursera | |
| 2017-09-19 | Myungjun Son | OpenCL and its application (Lessons from the summer accelerator school) | code | ppt |
| 2017-09-11 | Jeongchul Kim | Selecting the Best VM across Multiple Public Clouds: A Data-Driven Performance Modeling Approach | paper | ppt |
| 2017-08-31 | Sungsoo Son | Distributed matrix computation on Spark | paper | ppt |
| 2017-08-01 | Myungjun Son | Exploiting Matrix Dependency for Efficient Distributed Matrix Computation | paper | |
| 2017-07-18 | Namhyun Kim | Matrix multiplication on Sparkk | marlin CARMA | ppt |
| 2017-07-13 | Sara | Time series for spot instance price | ||
| 2017-06-12 | Myungjun Son | CPU and GPU orchestration | paper | ppt |
| 2017-05-22 | Namhyun Kim | Using Spark on GPUs | ||
| 2017-05-15 | Sara | C-Fuzzy Decision Tree | paper | ppt |
| 2017-05-08 | Myungjun Son | CherryPick | paper | ppt |
| 2017-05-01 | Jeongchul Kim | TensorFlow hands-on session | ppt | |
| 2017-04-17 | Kyungyong Lee | Autonomic BigData Cloud Computing | ||
| 2017-04-03 | Namhyun Kim | NeuralNet | textbook | |
| 2017-03-27 | Jeongchul Kim | TensorFlow | paper | |
| 2017-03-20 | Jeongchul Kim | TensorFlow | paper | ppt |
| 2017-03-13 | Myungjun Son | TR-Spark: Transient Computing for Big Data Analytics | paper | ppt |
| 2017-03-06 | Sara | Characterizing spot price dynamics in public cloud environments | paper | ppt |
| 2017-02-22 | Jeongchul Kim | SparkNet | paper youtube | ppt |
| 2017-02-08 | Myungjun Son | Spot instance for deep learning(DeepSpotCloud) | code | paper |
| 2017-02-01 | Sara | XGBoost | paper site | ppt |
| 2017-01-25 | Jeongchul Kim | Virtualization or Containerization? | link1 link2 | ppt |