Ma Lerong

Work place: Beijing Institute of technology, School of Computer science and Technology, Beijing, 10081, China



Research Interests: Computational Learning Theory, Information Systems, Data Mining, Information Retrieval, Data Structures and Algorithms


Ma Lerong is an Associate professor in Yan'an University, China. Currently, he is pursuing his PhD in school of computer Science and Technology, BIT, Beijing, China. His Research interests are in Machine learning, data mining, and information retrieval.

Author Articles
Virtual Machine Monitor Indigenous Memory Reclamation Technique

By Muhammad Shams Ul Haq Lejian Liao Ma Lerong

DOI:, Pub. Date: 8 Apr. 2016

Sandboxing is a mechanism to monitor and control the execution of malicious or untrusted program. Memory overhead incurred by sandbox solutions is one of bottleneck for sandboxing most of applications in a system. Memory reclamation techniques proposed for traditional full virtualization do not suit sandbox environment due to lack of full scale guest operating system in sandbox. In this paper, we propose memory reclamation technique for sandboxed applications. The proposed technique indigenously works in virtual machine monitor layer without installing any driver in VMX non root mode and without new communication channel with host kernel. Proposed Page reclamation algorithm is a simple modified form of Least recently used page reclamation and Working set page reclamation algorithms. For efficiently collecting working set of application, we use a hardware virtualization extension, page Modification logging introduced by Intel. We implemented proposed technique with one of open source sandboxes to show effectiveness of proposed memory reclamation method. Experimental results show that proposed technique successfully reclaim up to 11% memory from sandboxed applications with negligible CPU overheads.

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