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Annual jrebel report 2017
Annual jrebel report 2017








annual jrebel report 2017
  1. #Annual jrebel report 2017 update#
  2. #Annual jrebel report 2017 software#
  3. #Annual jrebel report 2017 code#

Back to the Future: Fault-tolerant Live Update with Time-traveling State Transfer. Cristiano Giuffrida, Calin Iorgulescu, Anton Kuijsten, and Andrew S.

annual jrebel report 2017

How Facebook pushes updates to its site every day.of the 10th ACM/IFIP/USENIX International Conference on Middleware (Middleware'09), November 2009. Why do upgrades fail and what can we do about it?: Toward dependable, online upgrades in enterprise system. of the 15th USENIX Security Symposium (USENIX Security'06), July-August 2006. N-variant systems: A secretless framework for security through diversity. Benjamin Cox, David Evans, Adrian Filipi, Jonathan Rowanhill, Wei Hu, Jack Davidson, John Knight, Anh Nguyen-Tuong, and Jason Hiser.of the 8th IEEE International Symposium on Fault Tolerant Computing (FTCS'78), June 1978.

#Annual jrebel report 2017 software#

N-version programming: A fault-tolerance approach to reliability of software operation. of the 29th International Conference on Software Engineering (ICSE'07), May 2007.

  • Haibo Chen, Jie Yu, Rong Chen, Binyu Zang, and Pen-Chung Yew.
  • of the 4th Workshop on Hot Topics in Software Upgrades (HotSWUp'12), June 2012. of the Conference on Programing Language Design and Implementation (PLDI'06), June 2006. Diehard: probabilistic memory safety for unsafe languages. In Proceedings of the 13th USENIX Conference on Hot Topics in Operating Systems, HotOS'13, pages 2-2, Berkeley, CA, USA, 2011. Operating system implications of fast, cheap, non-volatile memory. of the 4th European Conference on Computer Systems (EuroSys'09), March-April 2009. Ksplice: Automatic rebootless kernel updates. Programming ERLANG: software for a concurrent world. In European Conference on Object-Oriented Programming (ECOOP), July 2006. Modular software upgrades for distributed systems.
  • Sameer Ajmani, Barbara Liskov, and Liuba Shrira.
  • Our results show that MVEDSUa significantly reduces the update-time delay, imposes little overhead in steady state, and easily recovers from a We have used MVEDSUa to update several high-performance servers: Redis, Memcached, and VSFTPD. We have implemented this approach, which we call MVEDSUa, by extending the Kitsune DSU framework with Varan, a state-of-the-art MVE system. If the new version shows no problems after a warmup period, operators can make it permanent and discard the original version. This is safe because the MVE system keeps the state of both versions in sync. Unexpected divergences signal possible errors and roll back the update, which simply means terminating the updated version and reverting to the original version. Expected divergences are specified by the programmer using an MVE-specific DSL. Once the update completes, the MVE system monitors that the responses of both versions agree for the same inputs. To avoid delay in service, the update is applied to a forked copy while the original system continues to operate. This paper makes the key observation that both problems can be addressed by employing Multi-Version Execution (MVE). Furthermore, the time taken to dynamically apply the update may be unacceptable if it introduces a long delay in service.

    #Annual jrebel report 2017 code#

    Unfortunately, bugs in the update itself-whether in the changed code or in the way the change is introduced dynamically-may cause the updated software to crash or misbehave. Dynamic Software Updating (DSU) is a technique for patching stateful software without shutting it down, which enables both timely updates and non-stop service.










    Annual jrebel report 2017