08:30 – 08:35
Opening
Robert Birke and George Kesidis
08:35 – 10:00
Session I: Cloud Systems and Big Data
A Simple, Cost-effective Addressing and Routing Architecture for Fat-tree Based Datacenter Networks
Aqun Zhao (Beijing Jiaotong University, China and University of Victoria, Canada), Zhiyu Liu (Beijing Jiaotong University, China), Jianping Pan (University of Victoria, Canada) and Mangui Liang (Beijing Jiaotong University, China)
On Power Consumption Profiles for Data Intensive Workloads in Virtualized Hadoop Clusters
Basit Qureshi (Prince Sultan University, Saudi Arabia), Sultan Alwehaibi (Prince Sultan University, Saudi Arabia), Anis Koubâa (Polytechnic Institute of Porto, Portugal and Prince Sultan University, Saudi Arabia)
Efficient and Fair Scheduling of Placement Constrained Threads on Heterogeneous Multi-Processors
Jalal Khamse-Ashari (Carleton University, Canada), George Kesidis (Pennsylvania State University, USA), Ioannis Lambadaris (Carleton University, Canada), Bhuvan Urgaonkar (Pennsylvania State University, USA) and Yiqiang Zhao (Carleton University, Canada)
Simulated Annealing for Edge Partitioning
Hlib Mykhailenko (Université Côte d’Azur Inria, France), Giovanni Neglia (Université Côte d’Azur Inria, France) and Fabrice Huet (Université Côte d’Azur CNRS, France)
10:00 – 10:30
Coffee break
10:30 – 11:15
Keynote
Umakishore Ramachandran (Georgia Institute of Technology, USA)
Large-scale Situational Awareness with Camera Networks and Multimodal Sensing
11:15 – 12:00
Session II: Big Data and Cloud performance
Application Interference Analysis: Towards Energy-efficient Workload Management on Heterogeneous Micro-Server Architectures
Markus Hahnel (Technische Universität Dresden, Germany), Frehiwot Melak Arega (Technische Universität Dresden, Germany), Waltenegus Dargie (Technische Universität Dresden, Germany), Robert Khasanov (Technische Universität Dresden, Germany), Jeronimo Castrillon (Technische Universität Dresden, Germany)
Effect of Optimizing Java Deployment Artifacts on AWS Lambda
Hussachai Puripunpinyo (Workday and Oklahoma State University, USA) and M.H. Samadzadeh (Oklahoma State University, USA)