IEEE International Conference on Computer Communications
29 April - 2 May 2019 // Paris, France

Workshop on Big Data and Cloud Performance - Program

 The 9th International Workshop on Big Data and Cloud Performance (DCPerf’19)

Monday, 29 April, 2019 ● 13:30 – 18:30 ● Forum E

Cloud data centers are the backbone infrastructure for tomorrow's information technology. Their advantages are efficient resource provisioning and low operational costs for supporting a wide range of computing needs, be it in business, scientific or mobile/pervasive environments. Because of the rapid growth in user-defined and user-generated applications and content, the range of services provided at data centers will expand tremendously and unpredictably. Particularly, big data applications and services, e.g., social and environmental sensing, and IoT monitoring, present a unique class of challenges in the Cloud. In addition, the high volume of mixed workloads and the diversity of services offered render the performance optimization of data centers even more challenging. Moreover, important optimization criteria, such as scalability, reliability, manageability, power efficiency, area density, and operating costs, are often conflicting. The increasing mobility of users across geographically distributed areas adds another dimension to optimizing big data and cloud applications.

The goal of this workshop is to promote a community-wide discussion to identify suitable strategies to enable effective and scalable performance optimizations. We are looking for papers that present new techniques, introduce new methodologies, propose new research directions, or discuss strategies for resolving open performance problems for hosting big data analytics in the cloud.


Steering Committee:

Jiannong Cao (Hong Kong Polytechnic University, Hong Kong)

Alok Choudhary (Northwerstern University, USA)

Peter Muller (IBM Research Zurich Lab, Switzerland)

Martin Schmatz (IBM Research Zurich Lab, Switzerland)

Anand Sivasubramaniam (Penn State University, USA)

Larry Xue (Arizona State University, USA)


Technical Program Chairs:

Jia Rao (The University of Texas at Arlington, USA)

Christopher Stewart (The Ohio State University, USA)



13:30 – 13:35

Opening Session

Chairs: Jia Rao and Christopher Stewart


13:35 – 15:30

Keynote Session

Lydia Chen (TU Delft, Netherlands)
Efficient Resource Scheduling in Machine Learning Clusters
Chuan Wu (The University of Hong Kong, Hong Kong)


15:30 – 15:50

Coffee Break


15:50 – 17:10

Session 1: Distributed Clouds, Machine Learning, and Big Data Processing

EdgeDrive: Supporting Advanced Driver Assistance Systems using Mobile Edge Clouds Networks
Sumit Maheshwari (Rutgers University, USA), Wuyang Zhang (Rutgers University, USA), Ivan Seskar (Rutgers University, USA), Yanyong Zhang (Rutgers University, USA), Dipankar Raychaudhuri (Rutgers University, USA)  
RAFTing Over on Geo-Diverse Spot markets
Zichen Xu (Nanchang University, China), Christopher Stewart (The Ohio State University, USA), Jiacheng Huang (Nanchang University, China)
Exploring Deep Reinforcement Learning for Autonomous Powerline Tracking
Panin Pienroj (ETH Zurich and OZT Robotics, Switzerland), Sandro Schonborn (ABB Corporate Research, Switzerland), Robert Birke (ABB Corporate Research, Switzerland)
Efficient Estimation of Read Density when Caching for Big Data Processing
Sacheendra Talluri (Delft University of Technology & AtLarge Research, The Netherlands), Alexandru Iosup (Vrije Universiteit, The Netherlands)


17:10 – 18:30

Session 2: Datacenter and Cloud Resource Management

mWarp: Accelerating Intra-Host Live Container Migration via Memory Warping
Piush K Sinha (Binghamton University, USA), Spoorti S Doddamani (Binghamton University, USA), Hui Lu (Binghamton University, USA), Kartik Gopalan (Binghamton University, USA)
Dual Channel Adaptive Congestion Control for Datacenters
Cong Xu (HUAWEI Technologies, China), Boyan Tu (HUAWEI Technologies, China), Guoping Li (HUAWEI Technologies, China), Tingqiu Yuan (HUAWEI Technologies, China), Jiahai Yang (Tsinghua University, China)
Microburst Aware Congestion Control for Storage Traffic
Osamu Shiraki (Fujitsu Laboratories Ltd., Japan)
Rapid In-situ Profiling of Colocated Workloads
Jaimie Kelley (Denison University, USA), Nathaniel Morris (The Ohio State University, USA)


18:30 – 18:35

Closing Session 


Student Travel Grant Sponsors