InfoCPS 2011 - 1st Workshop on Analysis and Control of Information Distillation Systems
Topics/Call fo Papers
InfoCPS: 1st International Workshop on Analysis and Control of Information Distillation Systems
An Emerging CPS Challenge
Chicago, IL, April 11, 2011
Background:
While the proliferation of embedded devices and sensors, afforded by Moore’s Law, promises an exponential explosion in the amount of digital data collected from the physical world, the human ability to process such data remains the same, growing merely at the rate of human evolution. This widening gap between the ability of technology to collect data and the human capacity to consume it heralds a new branch of cyber-physical computing, where the main goal is to distill myriads of physical data flows into manageable amounts of actionable information to support critical decision-making. Sensor data collection and aggregation networks, participatory sensing applications, crowd-sourcing, stream mining, and military data fusion are examples of distributed software systems that distill physical world data to enable actionable, timely decision-making. This workshop addresses new fundamental research challenges that emerge in cyber-physical computing in analysis and control of such large data-intensive software systems that interact with the physical world. It provides a forum to present and discuss new ideas, paradigms, theoretical foundations, and architectural support for analysis and control of emerging information distillation systems. Cross disciplinary ideas are especially welcome that blur traditional boundaries of sensor networks, embedded computing, data mining, control, information theory, and hybrid systems.
Topics:
Much of prior research on embedded and cyber-physical systems has been task or process centric. Task execution was analyzed and latency bounds or quality of service constraints were enforced. In contrast, interesting future challenges emerge from the data-centric nature of a growing category of cyber-physical systems, where information is the main abstraction and its quality to effectively support a multitude of tasks is a main optimization criterion. Quality of information bounds and constraints need to be met, and trade-offs between such constraints and resource requirements need to be understood. Understanding the emerging information distillation systems is an interdisciplinary effort that leverages expertise in multiple areas. Original submissions are solicited on (but are not restricted to) the following topics:
? Abstractions and quality metrics for data-centric cyber-physical computing
? Data provenance, privacy, trust, and other data concerns
? Theoretical foundations, latency, and performance bounds
? Control and optimization of information distillation
? Analysis of quality of information
? Data-centric applications and case-studies
? Data-centric resource management (energy, communication bandwidth, computation, in-network storage, etc.)
? Performance evaluation, experiences, and lessons learned
Organizing Committee:
Program Committee:
Program Co-Chairs:
Lance Kaplan (ARL)
Tarek Abdelzaher (UIUC)
General Chair:
Jiawei Han (UIUC)
Charu Aggarwal, IBM Research
Guohong Cao, PSU
Ramesh Govindan, USC
Jiawei Han, UIUC
Heng Ji, CUNY
Jie Liu, Microsoft Research
Daniel Mosse, Pittsburgh
Suman Nath, Microsoft Research
Raj Rajkumar, CMU
Mani Srivastava, UCLA
Radu Stoleru, Texas A&M
Eduardo Tovar, Polytechnic Institute of Porto
Important Dates:
Paper Submission Deadline:
Sun, Jan 30th, 2011 (11:59pm US Pacific Time)
Notification of Paper Acceptance:
Fri, March 4th, 2011
Camera Ready Paper Copy:
Fri, March 18th, 2011
Submission Guidelines and Review Procedure
Original submissions not previously or concurrently submitted to another peer-reviewed forum are solicited. Submissions must be at most 5 pages long in standard IEEE conference format (two column 10pt font). All submissions will receive a peer review by at least 3 reviewers. The program of the workshop will be determined at a virtual program committee meeting. The program will include selected contributed papers, invited talks or keynote, and a panel.
An Emerging CPS Challenge
Chicago, IL, April 11, 2011
Background:
While the proliferation of embedded devices and sensors, afforded by Moore’s Law, promises an exponential explosion in the amount of digital data collected from the physical world, the human ability to process such data remains the same, growing merely at the rate of human evolution. This widening gap between the ability of technology to collect data and the human capacity to consume it heralds a new branch of cyber-physical computing, where the main goal is to distill myriads of physical data flows into manageable amounts of actionable information to support critical decision-making. Sensor data collection and aggregation networks, participatory sensing applications, crowd-sourcing, stream mining, and military data fusion are examples of distributed software systems that distill physical world data to enable actionable, timely decision-making. This workshop addresses new fundamental research challenges that emerge in cyber-physical computing in analysis and control of such large data-intensive software systems that interact with the physical world. It provides a forum to present and discuss new ideas, paradigms, theoretical foundations, and architectural support for analysis and control of emerging information distillation systems. Cross disciplinary ideas are especially welcome that blur traditional boundaries of sensor networks, embedded computing, data mining, control, information theory, and hybrid systems.
Topics:
Much of prior research on embedded and cyber-physical systems has been task or process centric. Task execution was analyzed and latency bounds or quality of service constraints were enforced. In contrast, interesting future challenges emerge from the data-centric nature of a growing category of cyber-physical systems, where information is the main abstraction and its quality to effectively support a multitude of tasks is a main optimization criterion. Quality of information bounds and constraints need to be met, and trade-offs between such constraints and resource requirements need to be understood. Understanding the emerging information distillation systems is an interdisciplinary effort that leverages expertise in multiple areas. Original submissions are solicited on (but are not restricted to) the following topics:
? Abstractions and quality metrics for data-centric cyber-physical computing
? Data provenance, privacy, trust, and other data concerns
? Theoretical foundations, latency, and performance bounds
? Control and optimization of information distillation
? Analysis of quality of information
? Data-centric applications and case-studies
? Data-centric resource management (energy, communication bandwidth, computation, in-network storage, etc.)
? Performance evaluation, experiences, and lessons learned
Organizing Committee:
Program Committee:
Program Co-Chairs:
Lance Kaplan (ARL)
Tarek Abdelzaher (UIUC)
General Chair:
Jiawei Han (UIUC)
Charu Aggarwal, IBM Research
Guohong Cao, PSU
Ramesh Govindan, USC
Jiawei Han, UIUC
Heng Ji, CUNY
Jie Liu, Microsoft Research
Daniel Mosse, Pittsburgh
Suman Nath, Microsoft Research
Raj Rajkumar, CMU
Mani Srivastava, UCLA
Radu Stoleru, Texas A&M
Eduardo Tovar, Polytechnic Institute of Porto
Important Dates:
Paper Submission Deadline:
Sun, Jan 30th, 2011 (11:59pm US Pacific Time)
Notification of Paper Acceptance:
Fri, March 4th, 2011
Camera Ready Paper Copy:
Fri, March 18th, 2011
Submission Guidelines and Review Procedure
Original submissions not previously or concurrently submitted to another peer-reviewed forum are solicited. Submissions must be at most 5 pages long in standard IEEE conference format (two column 10pt font). All submissions will receive a peer review by at least 3 reviewers. The program of the workshop will be determined at a virtual program committee meeting. The program will include selected contributed papers, invited talks or keynote, and a panel.
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Last modified: 2011-01-11 14:45:50