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XenMVM: Exploring Potential Performance of Multi-Core system in Virtual Machine Environment

XenMVM: Exploring Potential Performance of Multi-Core System...

引用

International Conference on Ubiquitous Information Technologies and Applications (ICUT)

作者： Zhiyuan Shao Jian Huang Hai Jin Kan Hu Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

In this work, we propose computing resource management system based on Xen VMM and multi-core system, called XenMVM. It adjusts the computing resource dynamically according to the actual workload generated by the applications running in the virtual machine to improve the resource utilization of the computer system. According to the shared L2 cache architecture of multi-core system, we propose the Underlying Layout Aware Scheduling (ULAS) which can schedule the virtual CPUs of virtual machines to the appropriate physical CPUs. The test result shows that ULAS can improve the performance about 4.5%~32.52%. Furthermore, to improve the whole performance of multiple virtual machines and meet the needs of specific jobs (i.e., urgent and I/O intensive) deployed in the virtual machines, a simplified method called Domain-based static priority is adopted in XenMVM. Using case studies we show that our proposal reduces the turnover time of the whole system by 20.45% compared with FCFS scheduling scheme.

关键词： Virtual machining Processor scheduling Program processors Multicore processing Scheduling Resource management

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Meld: A Real-Time Message Logic Debugging system for Distributed systems

Meld: A Real-Time Message Logic Debugging System for Distrib...

引用

IEEE Asia-Pacific Conference on services computing (APSCC)

作者： Xuping Tu Hai Jin Xuepeng Fan Jiang Ye Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

The largest difference between a distributed and a non-distributed system is that the former introduces network messages to the system. Network messages bring the scalability to a distributed system as well as complexity to it. Testing large-scale distributed systems is a great challenge, because some errors happen after a distributed sequence of events that involves machine and network failures. Meld is a checker that allows developers to specify expected message logic on a deployed distributed system, and that verifies these logics while the system is running. When Meld finds a problem it starts collecting more information that led to the problem, allowing developers to quickly find the root cause. Developers write message logics on Meld and Meld verifies them through analyzing the collected abstract of messages. By using binary instrumentation, Meld works almost transparently with debugged systems and can change logics to be checked at runtime. An evaluation with a deployed system shows that Meld can detect non-trivial correctness at runtime.

关键词： Servers Debugging Runtime Monitoring Computer bugs Receivers Payloads

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iDARE: Proactive Data Replication Mechanism for P2P VoD system

iDARE: Proactive Data Replication Mechanism for P2P VoD Syst...

引用

International Conference on Computer and Information technology (CIT)

作者： Xiaofei Liao Fan Zhang Hai Jin Linchen Yu Cluster and Grid Computing Laboratory Services Computing Technology and System Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China China University of Geoscience Wuhan China

Peer-to-peer (P2P) on-demand streaming systems inevitably suffer from peers churn that is the inherent dynamic characteristic of overlay network. With frequent peer departure, a large amount of media data cached on peer disk turns offline and unavailable, which becomes the major reason of heavy server load. To address the above issue, a new proactive data replication mechanism is proposed and implemented in existing P2P on-demand system GirdCast. Based on the new mechanism, peer can proactively replicate data chunks to stable cache servers for future sharing, when it has high possibility to leave the overlay. Two key heuristic algorithms are designed for departure prediction and replicated chunks selection. system trace driven simulation shows that the mechanism greatly decreases bandwidth load of media source server and improves the availability of chunks highly demanded but poorly provisioned by overlay peers.

关键词： Servers Peer to peer computing Media Availability Streaming media Bandwidth Distributed databases

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SHelp: Automatic Self-Healing for Multiple Application Instances in a Virtual Machine Environment

SHelp: Automatic Self-Healing for Multiple Application Insta...

引用

IEEE International Conference on Cluster computing

作者： Gang Chen Hai Jin Deqing Zou Bing Bing Zhou Weizhong Qiang Gang Hu Cluster and Grid Computing Laboratory Services Computing Technology and System Laboratory Huazhong University of Science and Technology Wuhan China Centre of Distributed and High Performance Computing School of Information Technologies University of Sydney NSW Australia

When multiple instances of an application running on multiple virtual machines, an interesting problem is how to utilize the fault handling result from one application instance to heal the same fault occurred on other sibling instances, and hence to ensure high service availability in a cloud computing environment. This paper presents SHelp, a lightweight runtime system that can survive software failures in the framework of virtual machines. It applies weighted rescue points and error virtualization techniques to effectively make applications by-pass the faulty path. A two-level storage hierarchy is adopted in the rescue point database for applications running on different virtual machines to share error handling information to reduce the redundancy and to more effectively and quickly recover from future faults caused by the same bugs. A Linux prototype is implemented and evaluated using four web server applications that contain various types of bugs. Our experimental results show that SHelp can make server applications to recover from these bugs in just a few seconds with modest performance overhead.

关键词： Virtual machining Databases Servers Buffer overflow Computer bugs Software Computer architecture

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A Hierachical VoIP system Based on Peer-to-Peer SIP: A Manageable Approach

A Hierachical VoIP System Based on Peer-to-Peer SIP: A Manag...

引用

International Conference on Computer and Information technology (CIT)

作者： Linchen Yu Xiaofei Liao Hai Jin Pengcheng Qin Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computer China University of Geoscience Wuhan China

Peer-to-Peer SIP is proposed to leverage Peer-to-Peer computing to control multimedia sessions in a decentralized manner. A lot of companies can be benefited if conventional SIP environment does not require the configuration and maintenance of central servers. However, existing P2PSIP systems put too much emphasis on the decentralization of SIP elements and the briefness of distribution. To some extent, P2PSIP system is manageable, but the control of the entire system is still relatively weak. In this paper, we propose a hierarchical P2PSIP system to address the manageable problems. Actual deployment and exhaustive simulations are performed to evaluate the performance of our P2PSIP schemes. Results indicate that the manageable approach not only solves the control liability problem, but also performs good reliability, scalability, and interoperability.

关键词： Servers Tin Reliability Protocols IP networks Authentication Registers

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Performance Modeling of Resource Failures in Grid Environments

Performance Modeling of Resource Failures in Grid Environmen...

引用

Japan-China Joint Workshop on Frontier of Computer Science and technology (FCST)

作者： Yongcai Tao Song Wu Lei Shi School of Information Engineering University of Zhengzhou Zhengzhou Henan China Services Computing Technology and System Laboratory Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China

Grid is susceptible to a number of software and hardware failures, so a deep understanding of and modeling the grid resource failures are a challenge and have significant influence on grid researching. However, due to various reasons such as commercial secret and security, it is difficult to obtain real historical logs of grids. Therefore, an accurate model of resource failures is critically useful. In the paper, through analyzing the grid log data, we detail the suitability of three potential statistical distributions for each data set: Weibull, Zipf's law and Pareto. Then, this paper develops a grid resource failure simulator. Finally, with the different failure patterns generated by the failure simulator, the paper evaluates several common scheduling algorithms used in grid systems.

关键词： Scheduling algorithm Weibull distribution Transient analysis Computational modeling User interfaces Distribution functions

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LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud

LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce...

引用

IEEE International Conference on Cloud computing technology and Science (CloudCom)

作者： Shadi Ibrahim Hai Jin Lu Lu Song Wu Bingsheng He Li Qi Cluster and Grid Computing Laboratory Services Computing Technology and System Laboratory Huazhong University of Science and Technology Wuhan China School of Computer Engineering Nanyang Technological University Singapore Information and Technology Department China Development Bank Beijing China

This paper investigates the problem of Partitioning Skew in MapReduce-based system. Our studies with Hadoop, a widely used MapReduce implementation, demonstrate that the presence of partitioning skew causes a huge amount of data transfer during the shuffle phase and leads to significant unfairness on the reduce input among different data nodes. As a result, the applications experience performance degradation due to the long data transfer during the shuffle phase along with the computation skew, particularly in reduce phase. We develop a novel algorithm named LEEN for locality-aware and fairness-aware key partitioning in MapReduce. LEEN embraces an asynchronous map and reduce scheme. All buffered intermediate keys are partitioned according to their frequencies and the fairness of the expected data distribution after the shuffle phase. We have integrated LEEN into Hadoop-0.18.0. Our experiments demonstrate that LEEN can efficiently achieve higher locality and reduce the amount of shuffled data. More importantly, LEEN guarantees fair distribution of the reduce inputs. As a result, LEEN achieves a performance improvement of up to 40% on different workloads.

关键词： Partitioning algorithms Distributed databases Cloud computing Performance evaluation Time factors Degradation Kernel

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VMDriver: A Driver-Based Monitoring Mechanism for Virtualization

VMDriver: A Driver-Based Monitoring Mechanism for Virtualiza...

引用

Reliable Distributed systems

作者： Guofu Xiang Hai Jin Deqing Zou Xinwen Zhang Sha Wen Feng Zhao Cluster and Grid Computing Laboratory Services Computing Technology and System Lab Huazhong University of Science and Technology Wuhan China Samsung Information Systems America Inc. San Jose CA USA

Monitoring virtual machine (VM) is an essential function for virtualized platforms. Existing solutions are either coarse-grained - monitoring in granularity of VM level, or not general - only support specific monitoring functions for particular guest operating system (OS). Thus they do not satisfy the monitoring requirement in large-scale server cluster such as data center and public cloud platform, where each physical platform runs hundreds of VMs with different guest OSes. In this paper, we propose VMDriver, a general and fine-grained approach for virtualization monitoring. The novel design of VMDriver is the separation of event interception point in VMM level and rich guest OS semantic reconstructions in management domain. With this design, variant monitoring drivers in management domain can mask the differences of guest OSes. We implement VMDriver on Xen and our experimental study shows that it introduces very small performance overhead. We demonstrate its generality by inspecting four aspects information about the target virtual machines with different guest OSes. The unified interface of VMDriver brings convenience to develop complex monitoring tools for distributed virtualization environment.

关键词： Monitoring Driver circuits Semantics Linux Kernel Malware

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Data Hiding in Virtual Machine Disk Images

Data Hiding in Virtual Machine Disk Images

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International Conference on Computer and Information technology (CIT)

作者： Yu Su Xiaofei Liao Hai Jin Tim Bell Cluster and Grid Computing Laboratory Services Computing Technology and System Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Department of Computer Science and Software Engineering College of Engineering University of Canterbury Christchurch New Zealand

Data hiding in computer system is an interesting and important research issue, which brings benefits for secret communication and watermarking. The development of virtual machine brings new potential for data hiding. In this paper we explore the potential for data hiding in virtual machine disk images, and especially hiding schemes that can be used with copy-on-write images. Besides being considered as a way for valid uses such as secret communication and watermarking, these schemes can be a warning against malicious intentions as well. Furthermore, it lays the foundation for a more thorough analysis of the whole virtual machine system for data hiding.

关键词： File systems Detectors Writing Virtual machining Linux Fats Virtual environment

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Real-Time Activity Recognition in Wireless Body Sensor Networks: From Simple Gestures to Complex Activities

Real-Time Activity Recognition in Wireless Body Sensor Netwo...

引用

IEEE International Conference on Embedded and Real-Time computing systems and Applications (RTCSA)

作者： Liang Wang Tao Gu Hanhua Chen Xianping Tao Jian Lu State Key Laboratory of Novel Software Technology Nanjing University China Department of Mathematics and Computer Science University of Southern Denmark Denmark Services Computing Technology and System Laboratory Huazhong University of Science and Technology China

Real-time activity recognition using body sensor networks is an important and challenging task and it has many potential applications. In this paper, we propose a real time, hierarchical model to recognize both simple gestures and complex activities using a wireless body sensor network. In this model, we first use a fast, lightweight template matching algorithm to detect gestures at the sensor node level, and then use a discriminative pattern based real-time algorithm to recognize high-level activities at the portable device level. We evaluate our algorithms over a real-world dataset. The results show that the proposed system not only achieves good performance (an average precision of 94.9%, an average recall of 82.5%, and an average real-time delay of 5.7 seconds), but also significantly reduces the network communication cost by 60.2%.

关键词： Real time systems Body sensor networks Acceleration Wireless communication Algorithm design and analysis Gesture recognition

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