Xiaojian Liu
National University of Defense Technology
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Featured researches published by Xiaojian Liu.
ieee international conference on cloud computing technology and science | 2010
Xiaojian Liu; Yi Ren; Huadong Dai
For high availability systems, it is desirable to fix discovered operating system security holes and other bugs, and do performance improvements without rebooting. However, the way that commodity operating systems are implemented sometimes makes online patching rather difficult, especially when the code to be updated is frequently used by the kernel. For commodity OS, hot update may have to be aborted due to not finding a safe point, even if there do exist occasions that those codes are not in use. After analyzing the difficulties faced when detecting a commodity OS’ quiescent state, this article proposes using reference counting copy to dynamically monitor the code execution status, which can trigger the online patching whenever safe point is reached. In principle, the proposed approach is applicable to all the legacy operating systems that support dynamically loading kernel modules, while minor changes will improve the performance and decrease implementation complexity. Based on Ksplice, a working prototype, SPOTOS, is implemented on Linux 2.6. SPOTOS has the advantage of dynamically monitoring the execution status of all the functions that are to be updated. Experiments on network communication are conducted, and the results prove the effectiveness and efficiency of our approach.
ieee international conference on cloud computing technology and science | 2010
Xiaojian Liu; Yi Ren; Huadong Dai
In high performance computing, it is desirable for threads to communicate with each other without incurring nonessential mutual exclusion. Various non-blocking mechanisms are proposed in the literature. However, the previous studies have the problem of message overwritten or repeatedly read. And none of them can handle the dispatcher/workers processing model well. Utilizing the primitive Compare and Swap, which can be executed atomically on most hardware platforms, the Enhanced Nonblocking Buffer (ENBB) mechanism described in this article is free of these drawbacks. The algorithms and their proofs are also presented. Lastly, experiments show the ENBB mechanism is both bug-free and high performance. Keywordsconcurrent programming, mutual exclusion, blocking, producer, consumer
Archive | 2012
Huadong Dai; Jianbo Guan; Xiaojian Liu; Yi Ren; Yusong Tan; Qingbo Wu
Archive | 2010
Xiaodong Yi; Xiaojian Liu; Weihua Zhang; Yusong Tan; Huadong Dai; Qingbo Wu; Jinzhu Kong
Archive | 2010
Xiaodong Yi; Yusong Tan; Xiaojian Liu; Weihua Zhang; Huadong Dai; Qingbo Wu; Jinzhu Kong
collaborative computing | 2012
Yi Ren; Ling Liu; Xiaojian Liu; Jinzhu Kong; Huadong Dai; Qingbo Wu; Yuan Li
Archive | 2010
Weihua Zhang; Xiaojian Liu; Xiaodong Yi; Yusong Tan; Qingbo Wu; Huadong Dai; Jinzhu Kong
Archive | 2012
Ying Qin; Huadong Dai; Qingbo Wu; Xiaojian Liu; Jinzhu Kong; Yuejin Yan; Pan Dong
Archive | 2011
Qingbo Wu; Huadong Dai; Yuejin Yan; Jing Wang; Zhiwei Li; Xiaojian Liu; Xiaodong Yi; Pan Dong
Archive | 2012
Ying Qin; Xiaojian Liu; Huadong Dai; Qingbo Wu; Jinzhu Kong; Yuejin Yan