Call For Papers [PDF] [DOC]
Since early days of computing systems, researchers and engineers have recognized the crucial role of Field Failure Data Analysis (FFDA) in characterizing the failure behavior of systems and guiding the design of error detection and recovery mechanisms. The information on spontaneous occurrences of systems/applications failures is usually collected in a variety of error logs. Analysis of this data can provide useful insight into understanding of error propagation patterns, enables identification of dependability bottlenecks, and quantification of metrics such as reliability, availability, or sensitivity to malicious attacks. Despite of the many studies analyzing failure data from variety of computing systems, a number of research and practical questions remain unanswered. For instance, it is well-understood that the quality of the analysis heavily depends on the quality of the available field failure data (i.e., system logs or failure reports). However, there are no commonly accepted criteria and/or methodologies to define how (what sources to use) to gather high quality data and how to process the data to obtain the meaningful unbiased results. Also, it is not clear whether traditional FFDA techniques are suitable to conduct the dependability evaluation of current and future generation systems, e.g., autonomic and/or ubiquitous systems, embedded systems, and mashup web applications.
Goals : This workshop aims to foster lively discussion and advance the state-of-the art in filed failure data analysis of current and future systems. The event provides an open forum to industry practitioners and academia to share experience and ideas on open issues and future trends in analyzing and using the field failure data.
The major areas of interest include, but are not limited to, the following:
- Methods, tools, and infrastructures for field data gathering and management
- Data formats and data archiving
- Methodologies and tools for failure data processing, e.g., efficient algorithms for data filtering and correlation analysis
- Failure data driven design of dependable systems and applications
- Challenges in collecting and analyzing failure data from emerging systems/applications, e.g., smart handheld devices or sensor networks
- Dependability evaluation using field data
Workshop Committee:
- Chair: Domenico Cotroneo, University of Napoli, Italy
- Co-Chair: Zbigniew Kalbarczyk, University of Illinois at Urbana-Champaign
- Bianca Schroeder, Carnegie Mellon University, USA
- Brendan Murphy, Microsoft Research,UK
- Marcello Cinque, Univ. of Naples Federico II
- Marco Vieira, University of Coimbra, Portugal
- Miroslaw Malek Humboldt University Berlin, Germany
- Paolo Lollini, University of Florence, Italy
- Brendan Murphy, Microsoft Research,UK
Submission Guidelines:
Please see the submission page for information.
Workshop Program: (pdf version)
- 8:00 am – 9:00 am Breakfast and Registration
- 9:00 am – 9:10 am Opening Remarks by
Isaac Woungang, Ryerson University, Canada;
Domenico Cotroneo, Federico II University of Naples, Italy - 9:10 am – 10:40 pm Session 1: [DNCMS] (Chair:
Isaac Woungang, Ryerson University, Canada)
Intrusion-Tolerant Group Management for Mobile Ad-Hoc Networks
Jonathan Kirsch (Johns Hopkins University, USA); Brian Coan (Telcordia Technologies, USA)
A Data Mining Based Approach to Reliable Distributed Systems
Michael Mock (Fraunhofer IAIS, Germany); Dennis Wegener (Fraunhofer IAIS, Germany)
PNETMAP: Virtual Network Implementation on a Partially-Known Physical Network
Cristian Ferent (State University of New York at Stony Brook, USA); Alex Doboli (State University of New York at Stony Brook, USA)
Developing Attack Defense Ideas for Ad Hoc Wireless Networks
Ruy De Oliveira (IFMT, Brazil); Bharat Bhargava (Purdue University, USA); Ed Wilson Tavares (IFMT, Brazil); Weichao Wang (UNC-Charlotte, USA); Mark Linderman (Air Force Research Lab, USA) - 10:40 am – 10:55 am Coffee Break
- 10:55 am – 11:55 am Keynote: "Detection of Collaborative Attacks and Cyber Defense", Bharat K. Bhargava, Purdue University, USA
- 11:55 am – 1:00 pm Lunch Break
- 1:00 pm – 2:40 pm Session 2: [DNCMS] (Chair:
Michael Mock, Fraunhofer IAIS, Germany)
Performance Evaluation of the Impact of Attacks on Mobile Ad hoc Networks
Malcolm Parsons (Technische Universität Darmstadt, Germany); Peter Ebinger (Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Germany)
Defending against Collaborative Packet Drop Attacks on MANETs
Weichao Wang (UNC-Charlotte, USA); Bharat Bhargava (Purdue University, USA); Mark Linderman (Air Force Research Lab, USA)
Improvement of Throughput Using Partially Node-disjoint Forward and Backward Paths for Mobile Ad Hoc Networks
Mario Takeuchi (Hiroshima City University, Japan); Eitaro Kohno (Hiroshima City University, Japan); Tomoyuki Ohta (Hiroshima City University, Japan); Yoshiaki Kakuda (Hiroshima City University, Japan)
A Neural Network Approach for Wireless Sensor Network Power Management
Ahmad Hosseingholizadeh (Ryerson University, Canada); Abdolreza Abhari (Ryerson University, Canada)
- 2:40 pm – 3:15 pm Coffee Break
- 3:15 pm – 4:15 pm Session 3: [F2DA] (Chair:
Domenico Cotroneo, Federico II University of Naples, Italy)
Improving FFDA of Web Servers through a Rule-Based Logging Approach
M. Cinque (University of Naples Federico II, Italy); R. Natella (University of Naples Federico II, Italy); A.Pecchia (University of Naples Federico II, Italy), S. Russo (University of Naples Federico II, Italy)
An Experimental Analysis of Open Source Software Reliability
Cobra Rahmani (University of Nebraska-Omaha, USA); Harvey Siy (University of Nebraska-Omaha, USA); Azad Azadmanesh (University of Nebraska-Omaha, USA)
Is RSSI a Reliable Parameter in Sensor localization Algorithms – An Experimental Study
Ambili Thottam Parameswaran (State University of New York at Buffalo, USA); Mohammad Iftekhar Husain (State University of New York at Buffalo, USA); Shambhu Upadhyaya (State University of New York at Buffalo, USA)
- 4:15 pm Wrap-up
List of Accepted Papers
- M. Cinque, R. Natella, A.Pecchia, S. Russo, Improving FFDA of Web Servers through a Rule-Based Logging Approach, University of Naples Federico II, Italy
- Cobra Rahmani, Harvey Siy, Azad Azadmanesh, An Experimental Analysis of Open Source Software Reliability, University of Nebraska-Omaha, U.S.
- Ambili Thottam Parameswaran, Mohammad Iftekhar Husain and Shambhu Upadhyaya. Is RSSI a reliable parameter in sensor localization algorithms – an experimental study, State University of New York at Buffalo, U.S.