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MR-COF:A Genetic MapReduce Configuration Optimization Framework

MR-COF:A Genetic MapReduce Configuration Optimization Framew...

The 7th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

作者： Chao Liu Deze Zeng Hong Yao Chengyu Hu Xuesong Yan Yuanyuan Fan China Services Computing Technology and System Lab and Cluster and GridComputing Lab Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhan 430074China

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing *** has many configuration parameters,some of which are crucial to the performance of MapReduce *** practice,these parameters... 详细信息

ISBN: (纸本)9783319271392

关键词： Mapreduce Massive data processing Parameter configuration Performance optimization Search algorithm

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Dependability Analysis for Fault-Tolerant Computer systems Using Dynamic Fault Graphs

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China Communications 2014年第9期11卷 16-30页

作者： ZHAO Feng JIN Hai ZOU Deqing QIN Pan Services Computing Technology and System Lab & Cluster and Grid Computing Lab School of Computer Scienceand Technology Huazhong University of Science and Technology Wuhan 430074 Hubei Province P. R. China

Dependability analysis is an important step in designing and analyzing safety computer systems and protection *** multi-processor and virtual machine increases the system faults' complexity,diversity and dynamic,in particular for software-induced failures,with an impact on the overall ***,it is very different for safety system to operate successfully at any active phase,since there is a huge difference in failure rate between hardware-induced and softwareinduced *** handle these difficulties and achieve accurate dependability evaluation,consistently reflecting the construct it measures,a new formalism derived from dynamic fault graphs(DFG) is developed in this *** exploits the concept of system event as fault state sequences to represent dynamic behaviors,which allows us to execute probabilistic measures at each timestamp when change *** approach automatically combines the reliability analysis with the system *** this paper,we describe how to use the proposed methodology drives to the overall system dependability analysis through the phases of modeling,structural discovery and probability analysis,which is also discussed using an example of a virtual computing system.

关键词： fault-tolerant system depend-ability analysis dynamic fault-graph structural link probability forecast

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An Efficient and Robust One-TimeMessage Authentication CodeScheme using Feature Extraction of Iris in Cloud computing

An Efficient and Robust One-TimeMessage Authentication CodeS...

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2014 International Conference on Cloud computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)

作者： Mohammed Abdulridha Hussain ZaidAmeen Abduljabbar Deqing Zou Hai Jin Ali A.Yassin ZaidAlaa Hussien Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scien 1Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scie University of Basrah BasrahIraq Cluster and Grid Computing Lab Services Computing Technology and System Lab School of Computer Scien

Cloud computing suffers from a number of problems in terms of security *** and integrity play an important role in the security field and numerous concerns have been raised to recognizeor protect any tampering with exchanges of text between two entities(sender and receiver)within the cloud *** schemes in this area can be vulnerable to well known methods of attack such as replay attack,forgery attack,dictionary,insider,and modification attacks.A robust scheme is therefore required to detect or prevent any modification or manipulation of a message during *** this paper,we propose a new message authentication code(MAC)based on feature extraction of the user's iris in order to assure the integrity of the user's *** are extracted from the user's iris to generate a message code for each user's login and to prohibit malicious attacks such as replay,forgery and insider *** proposed scheme enjoysseveral important security attributes such as a user's one time bio-key,robust message anonymity,data integrity for a user's message,phase key agreement,bio-key management,and one time message code for each user's ***,our security analysis and experimental results demonstrate and prove the invulnerability and efficiency of our proposed scheme.

关键词： Cloud computing Iris Features Extraction One Time Bio-key One Tim Message Authentication Code MAC.

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Secure and Efficient Data Integrity Based on Iris Features in Cloud computing

Secure and Efficient Data Integrity Based on Iris Features i...

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International Conference on Security technology, SECTECH

作者： Salah H. Abbdal Hai Jin Deqing Zou Ali A. Yassin Services Computing Technologyt and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China

Cloud computing aids users to outsource their data in the cloud remotely to prevent them from burdens of local storage and maintenance. Users no longer have possession and control of these data. This property brings many new security challenges like unauthorised entities and correctness of stored data. In this paper, we focus on the problem of ensuring the integrity of data stored in the cloud. We propose a method which combines biometric and cryptography techniques in a cost-effective manner for data owners to gain trust in the cloud. We present efficient and secure integrity based on the XOR operation and iris feature extraction as the strong factors. This work gives the cloud user more confidence in detecting any block that has been changed. Additionally, our proposed scheme employs user's iris features to secure and integrate data in a manner difficult for any internal or external entity to take or compromise it. Extensive security and performance analysis show that our scheme is highly efficient and provably secure.

关键词： Cloud computing Servers Security Iris Iris recognition Feature extraction

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SDPMN: Privacy Preserving MapReduce Network Using SDN

SDPMN: Privacy Preserving MapReduce Network Using SDN

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International Conference on Cloud computing and Big Data (CCBD)

作者： He Li Hai Jin Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781479966226

MapReduce is a popular programming model and an associated implementation for parallel processing big data in the distributed environment. Since large scaled MapReduce data centers usually provide services to many users, it is an essential problem to preserve the privacy between different applications in the same network. In this paper, we propose SDPMN, a framework that using software defined network (SDN) to distinguish the network between each application, which is a manageable and scalable method. We design this framework based on the existing SDN structure and Hardtop networks. Since the rule space of each SDN device is limited, we also propose the rule placement optimization for this framework to maximize the hardware supported isolated application networks. We state this problem in a general MapReduce network and design a heuristic algorithm to find the solution. From the simulation based evaluation, with our algorithm, the given network can support more privacy preserving application networks with SDN switches.

关键词： Privacy Ports (Computers) Data privacy Network topology Virtualization IP networks Heuristic algorithms

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esDMT: Efficient and scalable deterministic multithreading through memory isolation

esDMT: Efficient and scalable deterministic multithreading t...

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International Conference on Parallel and Distributed systems (ICPADS)

作者： Jie Sun Xiaofei Liao Long Zheng Hai Jin Yu Zhang School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Services Computing Technology and System Lab Cluster and Grid Computing Lab

Deterministic multithreading (DMT) system is well-known to eliminate the harmful program behaviors caused by nondeterminism, i.e., always proceeding the program execution into the same thread schedule for the same given input. To achieve this goal, two kinds of schedules are enforced by existing DMT systems. 1) A mem-based schedule ensures the determinism with the total order of the shared memory accesses, and 2) A sync-based schedule makes it by only enforcing the total order of the synchronization operations. Mem-schedule achieves full determinism but suffers from prohibitive overhead; while sync-schedule mitigates this overhead but cannot ensure the determinism for the race schedules, i.e., part determinism. Much recent research is devoted to the hybrid schedule combining the determinism of mem-schedule and efficiency of sync-schedule. However, they suffer from the practicability and scalability problems due to the defects of their technical characteristics, such as trace collection in advance and huge schedule memoization. To address the above problem, this paper proposes esDMT, an efficient and scalable DMT system using a new technique of memory isolation. It can improve the efficiency by proceeding the execution of each thread in parallel within its private virtual memory, and defers the determinism guarantee by updating private memory into shared memory in a deterministic order according to deterministic lock algorithm, thus further reducing the overhead of inter-thread waiting. In contrast to the previous hybrid work avoiding the nondeterminism of race schedules offline based on the enormous historical records, our key insight is to eliminate the nondeterminism of race schedules online at runtime. Our experimental results on PARSEC benchmarks show that esDMT eliminates the nondeterminism successfully, almost gains the same performance as the sync-schedule (with

关键词： Instruction sets Schedules Synchronization Scalability Clocks Computer crashes Runtime

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FDKeeper: A quick and open failure detector for cloud computing system

FDKeeper: A quick and open failure detector for cloud comput...

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2014 7th International C Conference on Computer Science and Software Engineering, C3S2E 2014

作者： Wang, Fengwei Jin, Hai Zou, Deqing Qiang, Weizhong Services Computing Technology and System Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781450327121

Failure detection is a basic service for building dependable cloud computing system. Unfortunately, the natural complexity of cloud computing system makes failure detectors much harder to build. In this work, we present the design, implementation, and evaluation of FDKeeper, a failure detector for cloud computing system with several features. First, FDKeeper is a failure detector with short detection time, high accuracy and low disruption. Second, FDKeeper is scalable, with communication cost and number of manager nodes scaling linearly with the number of physical nodes, which makes FDKeeper very suitable for large-scale cloud computing system. Third, FDKeeper provides a protocol for failure detection among many cloud computing systems. FDKeeper achieves these features by providing a layered failure detection mechanism, a cluster architecture and a cloud failure detection protocol. The evaluation results show that the detection time for app/kernel layer is less than 600 milliseconds, and 2 seconds for vmm/hardware layer, the accuracy is 100% for all layers, and the disruption is less than 0.27 times per year. As for scalability, the theoretical analysis and experimental results show that there is a linear relationship between the number of nodes used to accomplish the failure detection and the number of nodes in the computing systems, and the growth factor is less than 0.001. Thus we believe FDKeeper is the first failure detector that is fast, reliable, scalable, and viable. As such, it could change the way that a dependable cloud computing system is built. © 2014 ACM.

关键词： Cloud computing

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A Secure Synchronized Reading system over Time-Critical Online Contests

A Secure Synchronized Reading System over Time-Critical Onli...

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IEEE International Conference on Communications

作者： Wei Wang Peng Xu Hui Li Laurence Tianruo Yang Key Lab of Cloud Computing Technology Peking University Shenzhen China Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Embedded and Pervasive Computing Lab Huazhong University of Science and Technology Wuhan China

The time-critical online contest environment calls for an elegant and precise management system to start a contest online. The management system should simultaneously follow three rules of security that are confidentiality, anonymity and fairness. We present in this paper a novel system named Secure Synchronized Reading (SSR) system as well as its corresponding security model according to the three rules. SSR can evoke a synchronized start for all competitors in a contest at the intended time by employing a Randomness-reused Identity-Based Encryption (RIBE) scheme. It can avoid huge differences among delivery delays of heterogeneous competitors and any false start by an adverse competitor. Consequently when an online contest begins, the SSR system performs quasi real-time with ignorable communication delays in the security model. As a complement, the analysis on the provable security of SSR is given finally, as well as a further analysis on the achievement of synchronization.

关键词： Synchronization Encryption Delays Real-time systems Identity-based encryption

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Near-duplicate detection using GPU-based simhash scheme

Near-duplicate detection using GPU-based simhash scheme

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International Conference on Smart computing (SMARTCOMP)

作者： Xiaowen Feng Hai Jin Ran Zheng Lei Zhu Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Information & Communication Company of Hunan Electric Power Corporation Changsha Hunan China

ISBN: (纸本)9781479957125

With the rapid growth of data, near-duplicate documents bearing high similarity are abundant. Elimination of near-duplicates can reduce storage cost and improve the quality of search indexes in data mining. A challenging problem is to find near-duplicate records in large-scale collections efficiently. There have already been several efforts on implementing near-duplicate detection on different architectures. In this paper, a new implementation, using a special hash function namely simhash, is proposed to identify near-duplicate documents on CUDA enabled devices. Two mechanisms are designed to achieve higher performance, including swapping and dynamic allocating. Experimental results show that our parallel implementation outperforms the serial CPU version, achieving up to 18 times.

关键词： Graphics processing units Fingerprint recognition Instruction sets Hamming distance Dynamic scheduling Kernel Computer architecture

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GIRAFFE: A scalable distributed coordination service for large-scale systems 16

GIRAFFE: A scalable distributed coordination service for lar...

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16th IEEE International Conference on cluster computing, cluster 2014

作者： Shi, Xuanhua Lin, Haohong Jin, Hai Zhou, Bing Bing Yin, Zuoning Di, Sheng Wu, Song Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology China Centre for Distributed and High Performance Computing School of Information Technologies University of Sydney Australia GraphSQL Inc. Australia INRIA Argonne National Laboratory United States

ISBN: (纸本)9781479955480

The scale of cloud services keeps increasing over time, significantly introducing huge challenges in system manageability and reliability. Designing coordination services in cloud is the right track to solve the above problems. However, existing coordination services (e.g., Chubby and ZooKeeper) only perform well in read-intensive scenario and small ensemble scales. To this end, we propose Giraffe, a scalable distributed coordination service. There are three important contributions in our design. (1) Giraffe organizes coordination servers using interior-node-disjoint trees for better scalability. (2) Giraffe employs a novel Paxos protocol for strong consistency and fault-tolerance. (3) Giraffe supports hierarchical data organization and in-memory storage for high throughput and low latency. We evaluate Giraffe on a high performance computing test-bed. The experimental results show that Giraffe gains much better write performance than ZooKeeper when server ensemble is large. Giraffe is nearly 300% faster than ZooKeeper on update operations when ensemble size is 50 servers. Experiments also show that Giraffe reacts and recovers more quickly than ZooKeeper against node failures. © 2014 IEEE.

关键词： Distributed cloud

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