ApSys 2014 - Asia-Pacific Workshop on Systems

5th Asia-Pacific Workshop on Systems (APSys 2014)
in conjunction with the 31st International Conference on Machine Learning (ICML 2014)
Beijing, China
June 25-26th, 2014
Overview
Building on the success of its 2010?2013 predecessors in New Delhi, India; Shanghai, China; Seoul, South Korea; and Singapore, APSys 2014 will continue to be a lively forum for systems researchers and practitioners across the world to meet, interact, and collaborate with their peers from the Asia/Pacific region. We take a broad view of computer systems, and solicit papers on topics such as:
● Operating systems
● Virtualization, including novel VM applications
● File and storage systems, including designs for new storage technologies
● Mobile and pervasive computing
● Cloud computing and data center management
● Distributed systems
● Networks, including wireless technologies
● Energy efficiency and green computing
● Measurement, monitoring and modeling
● Reliability, scalability, and fault-tolerance
● Security and privacy
● Embedded systems
● Systems for machine learning
● Machine learning for systems
Call for papers
[pdf version]: APSys14-Call-for-Papers
Submission Guidelines
Submissions should be six or fewer pages in length, formatted in standard ACM two-column conference style with 10-pt font size. A submission may present preliminary results, propose a new research direction, provide insightful retrospective, or offer a provocative viewpoint on an important systems topic. Papers will be selected based on their likelihood of generating insightful technical discussions at the workshop and influencing future systems research. Relevant attributes include originality, technical merit, clarity, and technical relevance. Accepted papers will appear in the proceedings of the workshop, which will be published in the ACM Digital Library. Consistent with standard scholarly practice, the authors should not have substantially similar work in review anywhere else.
Track for Interactions between Machine Learning and Systems
To leverage the coresidence with ICML’2014, APSys 2014 will feature a special track to explore synergies between the systems and machine learning communities. This track aims to accommodate timely research in building systems for machine learning and in using machine learning methodologies to solve systems problems. Authors may mark the “ML for Systems & Systems for ML track” option during submission. Submissions in this track will be reviewed by PC experts in related areas and their acceptance will be decided separately, applying the same standards of quality and scholarship used for papers submitted to the main track.