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| 1 | Energy efficient virtual ma-chine placement algorithm with balanced and improved resource utili-zation in a data center 显示文摘 | Li Xin Qian Zhuzhong Lu Sanglu | 2013 | Mathematical and Computer Model-ling2013，58，56： | 1 |
| 2 | Towards energy-efficient storage placement in large scale sensor networks显示文摘 | Lei XIE Sanglu LU Yingchun CAO Daoxu CHEN | 2014 | Frontiers of Computer Science2014，8，3： | 1 |
| 3 | The optimization of replica distribution in the unstructured overlays显示文摘Replication is a widely used technique in unstructured overlays to improve content availability or system performance. A fundamental question often addressed by previous work focused on: how many replicas ought to be allocated for each data item given the fixed query rates and limited storage capability? In this paper, we have put forth two optimal replica distributions to achieve the highest success rate and the lowest message consumption. Especially, we have investigated the influence of item size on replica distribution. Our results show that Square-Root Replication, which is traditionally considered to be optimal, is not always the best choice. Our study offers a new deep understanding of resource managment in self-organized unstructured overlays. | FENG GuoFu LI WenZhong LU SangLu CHEN DaoXu BUYYA Rajkumar | 2012 | Science China(Information Sciences)2012，55，3： | 1 |
| 4 | A truthful QoS-aware spectrum auction with spatial reuse for large- scale networks 显示文摘 | Wang Qinhui Ye Baoliu Lu Sanglu | 2014 | IEEE Transactions on Parallel and Distributed Systems2014，25，10： | 1 |
| 5 | RER: A Replica Efficiency Based Replication Strategy显示文摘 | FENG Guofu ZHANG Jincheng LU Sanglu CHEN Guihai CHEN Daoxu | 2008 | Chinese Journal of Electronics2008，17，4： | 0 |
| 6 | Golden age:on multi-source software update propagation in pervasive networking environments显示文摘With the development of Internet technology,a large portion of computer softwares appear to run in a network-oriented,distributed-deployed,and self-evolving manner.The emerging wireless communication technologies broaden the usage of software in mobile platforms,enabling the pervasive computing paradigm,where people can access information/service anytime and anywhere with portable devices.In the pervasive networking environment where mobile devices operate on the ad hoc mode and communicate with each other opportunistically without wireless infrastructures,distributing the evolving software updates to a set of mobile terminals is a challenging task.In this paper,we address the problem of distributing multiple software updates in pervasive networks with storage and bandwidth constraints,and propose age-based solutions to tackle this problem.The basic idea is to introduce different age-based priority mechanisms for propagation decision making in order to resolve the contention of wireless bandwidth and storage buffer.We investigate a number of update propagation strategies including random spread,youngest age,and golden age.Mathematical models are derived to analyse the performance of the proposed strategies.It is shown that the golden age strategy has the burst effect,which could be used to enhance the efficiency of software update distribution.The principles for choosing golden age values are proposed aiming to optimize different utility metrics.Extensive simulations under various network parameters show that the golden age strategy outperforms other strategies for multi-source software updates propagation. | LI WenZhong FU XiaoMing CHAN Edward LU SangLu CHEN DaoXu | 2013 | Science China(Information Sciences)2013，56，8： | 0 |
| 7 | Stabilizing and boosting I/O performance for file systems with journaling on NVMe SSD显示文摘Many journaling file systems currently use non-volatile memory-express(NVMe) solid-state drives(SSDs) as external journal devices to improve the input and output(I/O) performance. However,when facing microwrite workloads, which are typical of many applications, they suffer from severe I/O fluctuations and the NVMe SSD utilization is extremely low. The experimental results indicate that this phenomenon arises mainly because writing back data to backend file systems on hard disk drives is much slower than journal writing, causing journal writing to frequently freeze because of the two-phase mechanism.We, therefore, propose a merging-in-memory(MIM) acceleration architecture to stabilize and boost the I/O performance for such journaling file systems. MIM employs an efficient data structure of hash-table-based multiple linked lists in memory, which not only merges random microwrites into sequential large blocks to speed up writebacks but also provides additional gains in terms of reducing the frequency of write addressing and object opening and closing. Using a prototype implementation in Ceph File Store, we experimentally show that MIM not only eliminates severe fluctuations but also improves the I/O operations per second by roughly 1×–12× and reduces the write latency by 75%–98%. | Lin QIAN Bin TANG Baoliu YE Jianyu WU Xiaoliang WANG Sanglu LU | 2022 | Science China(Information Sciences)2022，65，3： | 0 |
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