Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Thu 14 Nov 2019 14:00 - 14:20 at Hillcrest - Models and Logs Chair(s): Timo Kehrer

Execution logs record detailed runtime information of software systems and are used as the main data source for many tasks around software engineering. As modern software systems are evolving into large scale and complex structures, logs have become one type of fast-growing big data in industry. In particular, such logs often need to be stored for a long time in practice (e.g., a year), in order to analyze recurrent problems or track security issues. However, archiving logs consumes a large amount of storage space and computing resources, which in turn incurs high operational cost. Data compression is essential to reduce the cost of log storage. Traditional compression tools (e.g., gzip) work well for general texts, but are not tailed for execution logs. In this paper, we propose a novel and effective log compression method, namely logzip. Logzip is capable of extracting hidden structures from logs via fast iterative clustering and further generating coherent intermediate representations that can enable more effective compression. We evaluate logzip on five large log datasets of different types, with a total of 63.6 GB in size. The results show that, on average, logzip can save about half of the storage space over traditional compression tools. Meanwhile, the design of logzip is highly parallel and only incurs negligible overhead. In addition, we share the industrial experience of applying logzip in a global company.

Thu 14 Nov

Displayed time zone: Tijuana, Baja California change

13:40 - 15:20
Models and LogsResearch Papers / Demonstrations at Hillcrest
Chair(s): Timo Kehrer Humboldt-Universtit├Ąt zu Berlin
13:40
20m
Talk
Statistical Log Differencing
Research Papers
Lingfeng Bao Institute of Information Engineering, Chinese Academy of Sciences, Nimrod Busany Tel Aviv University, David Lo Singapore Management University, Shahar Maoz Tel Aviv University
Pre-print
14:00
20m
Talk
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
Research Papers
Jinyang Liu Sun Yat-Sen University, Jieming Zhu Huawei Noah's Ark Lab, Shilin He Chinese University of Hong Kong, Pinjia He ETH Zurich, Zibin Zheng Sun Yat-Sen University, Michael Lyu The Chinese University of Hong Kong
14:20
20m
Talk
Code-First Model-Driven Engineering: On the Agile Adoption of MDE Tooling
Research Papers
Artur Boronat University of Leicester
14:40
20m
Talk
Size and Accuracy in Model Inference
Research Papers
Nimrod Busany Tel Aviv University, Shahar Maoz Tel Aviv University, Yehonatan Yulazari Tel Aviv University
Pre-print
15:00
10m
Demonstration
PMExec: An Execution Engine of Partial UML-RT Models
Demonstrations
Mojtaba Bagherzadeh Queen's University, Karim Jahed Queen's University, Nafiseh Kahani Queen's University, Juergen Dingel Queen's University, Kingston, Ontario
Pre-print
15:10
10m
Demonstration
mCUTE: A Model-level Concolic Unit Testing Engine for UML State Machines
Demonstrations
Reza Ahmadi Queen's University, Karim Jahed Queen's University, Juergen Dingel Queen's University, Kingston, Ontario