The IAP Cornell Workshop on the Future of Cloud Computing was organized by Prof. Jose F. Martínez and conducted on Friday, May 3, 2019 in Upson Hall on the Cornell campus in Ithaca, NY.
Agenda - Videos of Presentations
8:00-8:30AM Pick-up – Coffee/Tea and Breakfast Food/Snacks
8:30-9:00AM Prof. Jose Martinez, Cornell, ECE, “PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services”
9:00-9:30AM Dr. Yang Seok Ki, Samsung, Sr. Director and Architect of Memory Solutions Lab, “Opportunities and Challenges in Computational Storage”
9:30-10:00AM Prof. Ken Birman, Cornell, Computer Science, “Using Derecho to Build Smart and Responsive Cloud Services for IoT Applications”
10:00-10:30AM Dr. Richard New, Western Digital, VP Engineering, “The Changing Landscape of Data – New Storage Device Technologies, Interface Models, and Storage Architectures”
10:30-11:00AM Lightning Round of Student Posters
11:00-12:30PM Lunch and Poster Viewing
12:30-12:50PM Prof. Hakim Weatherspoon, Cornell, Computer Science, “The Edge Supercloud: Blockchains for the Edge”
12:50-1:10PM Ed McLellan, Marvell, Distinguished Engineer, “Computing on the Mobile Edge”
1:10-1:30PM Prof. Robbert van Renesse, Cornell, Computer Science, “X-Containers: Breaking Down Barriers to Improve Performance and Isolation of Cloud Native Containers”
1:30-2:00PM H. K. Verma, Distinguished Engineer, Xilinx, “Database Acceleration using FPGAs”
2:00-2:20PM Prof. Kevin Tang, Cornell, ECE, “Towards Autonomous Fine-Grained Network Management”
2:20-3:00PM Break - Refreshments and Poster Viewing
3:00-3:20PM Prof. Christina Delimitrou, Cornell, ECE, “Leveraging Machine Learning to Improve Performance Predictability in Cloud Microservices”
3:20-3:40PM Dr. Jian Li, Huawei, Sr. Director of Research and Planning, “Case Studies of ICT Platform and Its Applications”
3:40-4:00PM Prof. Chris De Sa, Cornell, Computer Science, “Distributed Learning with Compressed Communication”
4:00-4:20PM Dr. Carole-Jean Wu, Facebook, “Machine Learning at Scale”
4:20-5:00PM Reception – Refreshments and Poster Awards
Presenter Abstracts and Bios
Ken Birman, Cornell, Using Derecho to Build Smart and Responsive Cloud Services for IoT Applications
Abstract: The Derecho platform was created to support a new generation of Internet-of-Things (IoT) applications with online machine-learning components. At cloud-scale, such applications require a new edge service ecosystem, which is a form of “smart memory”. Derecho, which is now fully implemented ( github.org/Derecho-Project), leverages persistent memory and RDMA to solve this problem with exceptional performance and scalability.
Bio: Ken Birman is the N. Rama Rao Professor of Computer Science at Cornell.
Christina Delimitrou, Cornell ECE, “Leveraging Machine Learning to Improve Performance Predictability in Microservices”
Abstract: Cloud applications have recently undergone a major redesign, switching from monolithic implementations to large numbers of loosely-coupled microservices. In this talk, I will discuss Seer, a new cloud performance debugging system that leverages deep learning techniques to improve the performance predictability of large-scale interactive microservices.
Bio: Christina Delimitrou is an Assistant Professor at Cornell University.
Chris De Sa, Cornell, “Distributed learning with compressed communication”
Abstract: Distributed machine learning involves many independent computers collaborating to train a model. This talk presents recent work on how the messages sent between machines can be compressed, decreasing the total time needed to train a model.
Bio: Chris De Sa is an Assistant Professor in the Computer Science department at Cornell University.
Yang Seok Ki, Samsung, “Opportunities and Challenges in Computational Storage”
Abstract: This talk introduces several approaches at Samsung in response to the growing needs for near-data processing and domain-specific architecture to enable better computing with lower power consumption.
Bio: Yang Seok Ki is a Sr. Director and architect of Memory Solutions Lab, Samsung Semiconductor Inc. America.
Jian Li, Huawei, “Case Studies of ICT Platform and Its Applications”
Abstract: This talk will address the challenges in scalability, performance, security, privacy, and usability issues in the ICT infrastructure.
Bio: Dr. Jian Li is a senior director of research and technology planning with Huawei Technologies.
Jose F. Martínez, Cornell, “PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services”
Abstract: We present PARTIES, a QoS-aware resource manager that enables multiple interactive services to share a node without QoS violations.
Bio: José Martínez is Professor of Electrical and Computer Engineering at Cornell.
Ed McLellan, Marvell, “Computing on the Mobile Edge”
Abstract: This presentation reviews 5G requirements and describes hardware and software solution options for edge computing infrastructure.
Bio: Ed McLellan is a Principal engineer at Marvell Semiconductor.
Richard New, Western Digital, “The Changing Landscape of Data”
Abstract: The talk will review emerging use cases and interface models for storage technologies, addressing inefficiencies in the common usage model for NAND SSDs.
Bio: Richard New has served as the vice president of research at Western Digital since 2016.
Kevin Tang, Cornell, “Towards Autonomous Fine-Grained Network Management”
Abstract: The talk examines opportunities for fine-grained network management to improve network performance.
Bio: Kevin Tang is an Associate Professor in ECE at Cornell University.
Robbert van Renesse, Cornell, “X-Containers: Breaking Down Barriers to Improve Performance and Isolation of Cloud-Native Containers”
Abstract: We propose X-Containers as a new security paradigm for isolating cloud-native containers.
Bio: Robbert van Renesse is a Research Professor in the Department of Computer Science at Cornell University.
H. K. Verma, Distinguished Engineer, Xilinx, “Database Acceleration using FPGAs”
Abstract: This talk provides a generic query offload acceleration architecture for PostgreSQL RDBMS.
Bio: HK Verma is a Distinguished Engineer at Xilinx, developing FPGA-based data center accelerators.
Hakim Weatherspoon, Cornell, “The Edge Supercloud: Blockchains for the Edge”
Abstract: This talk presents Vegvisir, a partition-tolerant blockchain for use in power-constrained IoT environments.
Bio: Hakim Weatherspoon is an Associate Professor in the Department of Computer Science at Cornell University.
Carole-Jean Wu, Facebook, “Machine Learning at Scale”
Abstract: This talk addresses system design challenges when scaling machine learning solutions to billions of edge devices.
Bio: Carole-Jean Wu is a Research Scientist at Facebook’s AI Infrastructure Research.