Call For Papers

 

As the data center workload exhibits plenty of diversities and totally different behaviors in comparison with traditional HPC and desktop workloads, more and more researchers are realizing the significant mismatch between existing data center hardware platform and their workloads. The designers of data center server need to understand the behaviors of such dynamically changing workloads, identify their common requirements and predict their trends. On the other hand, data center system is facing more and more pressures from the power consumption, cost control, as well as the area limitation. The goal of this workshop is to bring together academic researchers and industry practitioners to share their insights from data center workloads, exchange their understanding on the common behaviors and potential trends of such real workloads, and discuss the possible explorations on architectural innovations for future data center system. So the topic of this round workshop is about efficient data center system, the scope of which covers the power efficiency, cost efficiency and space efficiency etc.

 

This workshop in a series is about data center system. This is the 3rd one, which is focus on the workload analysis and architecture exploration for data center server. The 1st round held in conjunction with HPCA 2012 specialized its topic on the Micro-Server system. And the 2nd round held in conjunction with HPCA 2013 is focus on data center infrastructure, cloud deployment and DC application analysis.

 

Topics of interest include but are not limited to:

  • Big data related topics, e.g., workload analysis, big data system design etc.
  • Virtualization platform in data center system
  • Power efficient data center system architecture
  • High density data center server
  • Cost effective data center architecture
  • Security architecture for data center server
  • Efficient processor architecture for data center server
  • Hybrid system architecture and related software issues (scheduling, programming etc)
  • New architecture exploration inspired by emerging techniques, such as storage class memory, and on-chip optics etc.

 

We encourage both industry and academic researchers to submit their research. Preliminary results of interesting ideas and work-in-progress are welcome. Submissions that are likely to generate vigorous discussion will be favored!

Advanced Program

 

 

14:00-14:05, Opening remark, Rui Hou, ICT

 

Session 1: Invited talk

14:05-14:35, Andrew Yu, Senior Director of Big Data R&D at VMware

Topic: Software-defined infrastructure for Big Data

Abstract:

Big data is transforming the cloud as it moves from web giants into the enterprise. As IT deals with the pressure to juggle multiple workload types, and do it with increasing operational and capital efficiency, all eyes turn to the platform. Today’s infrastructure must be architected as a common software-defined platform that supports the key workload components for today's and tomorrow’s big data systems. Specifically, we must plan now to accommodate explosive growth and the need for robust storage, networking and security. In this talk, Andrew will discuss VMware's vision for software-defined infrastructure and the challenges and strategy for supporting Big Data workloads in such an environment.

 

14:35-15:05, Krishna Malladi, Senior Memory Architect, Samsung Semiconductors

Topic: Building next generation server systems

Abstract:

Massive modern internet services like search, e-commerce, social networks, databases, analytics, and video rely on server advancements to seamlessly scale their services to millions of users with demands for 100% uptime and sub-second response latencies. However, such services also place high demands on the underlying systems. While server “scale-up” has become increasingly difficult due to process scaling and challenges, server “scale out” has implications for provisioning costs, power and cooling infrastructure. In the current talk, we will see that memory and storage systems are central to addressing the datacenter system challenges. We will also explore the unique interaction of these systems with applications and explore opportunities to use it for making large-scale systems more efficient. Next, we will investigate some of the challenges of DRAM and flash in detail and understand how new memory architectures can help us climb over the limitations. Finally, we will discuss the high potential of emerging new memory technologies in realizing next generation server platforms.

 

15:05-15:30, Tea break

 

Session 2: Paper session

15:30-16:00: Titan: A FPGA based evaluation system for data center server, Ke Zhang, Yisong Chang, Jianbo Dong

16:00-16:30: Running hadoop in virtualized system, Tao Jiang, Zhiying Jiang, Xinhui Li, Rui Hou

 

Organizers

 

Rui Hou (Associate Professor), Institute of Computing Technology, Chinese Academy of Sciences.

 

Jian Li (Research Staff Member), IBM Research, Austin.

 

Michael C. Huang (Associate Professor), University of Rochester.

 

Guangdeng Liao (Senior Staff), Samsung Research.

 

Xinhui Li (Senior Technology Staff Member), VMware China.

Paper Submission

 

In case of the template, please find it from HPCA “Paper submission” webpage.

And please use the following link to submit your paper:

https://www.easychair.org/conferences/?conf=edcs3

Important Dates

 

 

Abstract / Paper Submission

January 15, 2014, 11:59 PM EST

January 22, 2014, 11:59 PM EST (extended)

Author Notification January 28, 2014, 11:59 PM EST
Final Paper Submission January 31, 2014, 11:59 PM EST
Workshop February 15, 2014, Afternoon

 

 
 
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