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10th IEEE/ACM international Symposium on Cluster, Cloud, and Grid computing, CCGrid 2010

作者： LeBlanc, Troy P. Subhlok, Jaspal Gabriel, Edgar Department of Computer Science University of Houston Houston TX 77204 United States

ISBN: (纸本)9781424469871

Idle desktops have been successfully used to run sequential and master-slave task parallel codes on a large scale in the context of volunteer computing. However, execution of message passing parallel programs in such environments is challenging because a pool of nodes to execute an application may have architectural and operating system heterogeneity, can include widely distributed nodes across security domains, and nodes may become unavailable for computation frequently and without warning. The VolPEx (parallel Execution on Volatile Nodes) tool set is building MPI support in such environments based on selective use of process redundancy and message logging. However, addressing this challenge requires tradeoffs between performance, portability, and usability. The paper introduces a robust MPI library that is designed to be highly portable across heterogeneous architectures and operating systems. This VolpexPyMPI library is built with Python, works with Linux and Windows platforms and accepts user level MPI programs written in C or FORTRAN. The performance of VolpexPyMPI is compared with a traditional C based implementation of MPI. The paper examines in detail the tradeoffs of these usability focused and performance focused approaches. © 2010 IEEE.

关键词： Application programs

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Communicating While computing [distributed mobile cloud computing over 5G heterogeneous networks]

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IEEE SIGNAL PROCESSING MAGAZINE 2014年第6期31卷 45-55页

作者： Barbarossa, Sergio Sardellitti, Stefania Di Lorenzo, Paolo Univ Roma La Sapienza Rome Italy IEEE New York NY USA

Current estimates of mobile data traffic in the years to come foresee a 1,000 increase of mobile data traffic in 2020 with respect to 2010, or, equivalently, a doubling of mobile data traffic every year. This unprecedented growth demands a significant increase of wireless network capacity. Even if the current evolution of fourth-generation (4G) systems and, in particular, the advancements of the long-term evolution (LTE) standardization process foresees a significant capacity improvement with respect to third-generation (3G) systems, the European Telecommunications Standards Institute (ETSI) has established a roadmap toward the fifth-generation (5G) system, with the aim of deploying a commercial system by the year 2020 [1]. The European Project named ?Mobile and Wireless Communications Enablers for the 2020 Information Society? (METIS), launched in 2012, represents one of the first international and large-scale research projects on fifth generation (5G) [2]. In parallel with this unparalleled growth of data traffic, our everyday life experience shows an increasing habit to run a plethora of applications specifically devised for mobile devices, (smartphones, tablets, laptops)for entertainment, health care, business, social networking, traveling, news, etc. However, the spectacular growth in wireless traffic generated by this lifestyle is not matched with a parallel improvement on mobile handsets? batteries, whose lifetime is not improving at the same pace [3]. This determines a widening gap between the energy required to run sophisticated applications and the energy available on the mobile handset. A possible way to overcome this obstacle is to enable the mobile devices, whenever possible and convenient, to offload their most energy-consuming tasks to nearby fixed servers. This strategy has been studied for a long time and is reported in the literature under different names, such as cyberforaging [4] or computation offloading [5], [6]. In recent years, a strong impul

关键词： Distribute Heterogeneous networks Cloud computing Mobile COMMUNICATING

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A cooperative intrusion detection system framework for cloud computing networks

A cooperative intrusion detection system framework for cloud...

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international Workshop on Scheduling and Resource Management for parallel and distributed Systems

作者： Lo, Chi-Chun Huang, Chun-Chieh Ku, Joy Institute of Information Management National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9780769541570

Cloud computing provides a framework for supporting end users easily attaching powerful services and applications through Internet. To provide secure and reliable services in cloud computing environment is an important issue. One of the security issues is how to reduce the impact of denial-of-service (DoS) attack or distributed denial-of-service (DDoS) in this environment. To counter these kinds of attacks, a framework of cooperative intrusion detection system (IDS) is proposed. The proposed system could reduce the impact of these kinds of attacks. To provide such ability, IDSs in the cloud computing regions exchange their alerts with each other. In the system, each of IDSs has a cooperative agent used to compute and determine whether to accept the alerts sent from other IDSs or not. By this way, IDSs could avoid the same type of attack happening. The implementation results indicate that the proposed system could resist DoS attack. Moreover, by comparison, the proposed cooperative IDS system only increases little computation effort compared with pure Snort based IDS but prevents the system from single point of failure attack. © 2010 IEEE.

关键词： Denial-of-service attack

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Efficient Strategies for Many-task Frequent Pattern Mining in Cloud computing Environments

Efficient Strategies for Many-task Frequent Pattern Mining i...

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IEEE international conference on Systems, Man and Cybernetics

作者： Lin, Kawuu W. Luo, Yu-Chin Natl Kaohsiung Univ Appl Sci Dept Comp Sci & Informat Engn Kaohsiung 807 Taiwan

ISBN: (纸本)9781424465880

The goal of data mining is to discover the hidden useful information from large databases. Mining frequent patterns from transaction databases is an important problem in data mining field. As the size of database increases, the computation time and the required memory increase severely. parallel and distributed computing techniques have attracted extensive attentions on the ability to manage and compute the significant amount of data in the past decades. The difficulty of mining large database launched the research of designing parallel and distributed algorithms to solve the problem. However, most of the past studies did not focus on the many-task issue that is very important, especially in cloud computing environments. In cloud computing environments, application is provided as service like Google search engine, meaning that it will be used by many users at the same time. In this paper, we propose a set of strategies for many-task frequent pattern mining. Through empirical evaluations on various simulation conditions, the proposed strategies deliver excellent performance in terms of execution time.

关键词： Data mining cloud computing association rule mining frequent pattern mining

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VON/KVM: A high performance virtual overlay network integrated with KVM

VON/KVM: A high performance virtual overlay network integrat...

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2010 international conference on Apperceiving computing and Intelligence Analysis, ICACIA 2010

作者： Tang, Yuan Li, Jian-Ping School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China International Centre for Wavelet Analysis and Its Applications Logistical Engineering University Chongqing 400016 China

ISBN: (纸本)9781424480265

The virtual computing environments integrated with virtual machines (VMs) and virtual overlay ne tworks play an important role in distributed computing and cloud computing. Overlay network with a layer 2 abstraction provides a powerful model for virtualized wide-area distributed computing resources on collections of virtual machines (VMs). However, the performance of existing virtual overlay network can not support the high-performance distributed computing. In this paper, we describe the design and implementation of a virtual overlay network system that has negligible latency and bandwidth in LAN networks. Our system, VON/KVM, is integrated with KVM (Kernel-based Virtual Machine), an open-sourced virtual machine monitor (VMM). VON/KVM achieves native performance and negligible overheads on 1 Gbps Ethernet networks. © 2010 IEEE.

关键词： Overlay networks

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Rupeas: Ruby powered event analysis DSL

Rupeas: Ruby powered event analysis DSL

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international conference on Networked Sensing Systems

作者： Woehrle, Matthias Plessl, Christian Thiele, Lothar Computer Engineering and Networks Lab ETH Zurich Switzerland Paderborn Center for Parallel Computing University of Paderborn Germany

ISBN: (纸本)9781424479108

Wireless Sensor networks (WSNs) are unique embedded computer systems for distributed sensing of a dispersed phenomenon. As WSNs are deployed in remote locations for longterm unattended operation, assurance of correct functioning of the system is of prime concern. Thus, the design and development of WSNs requires specialized tools to allow for testing. To this end, we present a novel language, Rupeas, for analyzing WSNs based on collected events during system operation. Rupeas is independent from test specifics and thus generally applicable for analyzing event logs of WSN test executions. © 2010 IEEE.

关键词： Wireless sensor networks

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parallel sorting on Recursive Dual-Nets

Parallel sorting on Recursive Dual-Nets

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11th international conference on parallel and distributed computing, Applications and Technologies, PDCAT 2010

作者： Li, Yamin Peng, Shietung Chu, Wanming Department of Computer Science Hosei University Tokyo 184-8584 Japan Department of Computer Hardware University of Aizu Aizu-Wakamatsu 965-8580 Japan

ISBN: (纸本)9780769542874

In this paper, we propose an algorithm for parallel sorting on Recursive Dual-Net with an m-cube (Qm) as its base network. The Recursive Dual-Net RDNκ(Qm) for k > 0 has 2 2κm+2κ-1 nodes and m+ κ links per node. The proposed sorting algorithm is based on the bitonic sorting. In an RDN κ(Qm), assume that each node holds a single data item, the sorting algorithm runs in O((m2κ)2) computation steps and O((km2κ)2) communication steps. © 2010 IEEE.

关键词： Interconnection networks (circuit switching)

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High resolution program flow visualization of hardware accelerated hybrid multi-core applications 10

High resolution program flow visualization of hardware accel...

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10th IEEE/ACM international Symposium on Cluster, Cloud, and Grid computing, CCGrid 2010

作者： Hackenberg, Daniel Juckeland, Guido Brunst, Holger Technische Universität Dresden 01062 Dresden Germany

ISBN: (纸本)9781424469871

The advent of multi-core processors has made parallel computing techniques mandatory on main stream systems. With the recent rise of hardware accelerators, hybrid parallelism adds yet another dimension of complexity to the process of software development. This article presents a tool for graphical program flow analysis of hardware accelerated parallel programs. It monitors the hybrid program execution to record and visualize many performance relevant events along the way. Representative real-world applications written for both IBM's Cell processor and NVIDIA's CUDA API are studied exemplarily. To the best of our knowledge, this approach is the first that visualizes the parallelism in hybrid multi-core systems at the presented level of detail. © 2010 IEEE.

关键词： parallel processing systems

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An algorithm to construct FP-Tree on VODCA

An algorithm to construct FP-Tree on VODCA

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2010 international conference on Intelligent Computation Technology and Automation, ICICTA 2010

作者： Tong, Yongmu Zheng, Xiaoyan Tianjin University of Technology and Education Tianjin 300222 China

ISBN: (纸本)9780769540771

To construct FP-Tree in mining frequent pattern, we propose a parallel algorithm CFPV (Construct FP-Tree on VODCA) for construct FP-Tree. This method is based on a new parallel computing environment on the distributed shared memory, called View-Oriented, distributed, Cluster-based Approach to parallel computing (VODCA). It discusses the fact of views division and the results when generate FP-Tree on VODCA, and discusses the dynamic task allocation strategy of the algorithm. The experimental results prove the correctness and effectiveness of CFPV algorithm. © 2010 IEEE.

关键词： Cluster computing

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A robust and fault-tolerant distributed intrusion detection system

A robust and fault-tolerant distributed intrusion detection ...

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international conference on parallel distributed and Grid computing

作者： Sen, Jaydip Innovation Lab. Tata Consultancy Services Ltd. Kolkata India

ISBN: (纸本)9781424476725

Since it is impossible to predict and identify all the vulnerabilities of a network, and penetration into a system by malicious intruders cannot always be prevented, intrusion detection systems (IDSs) are essential entities for ensuring the security of a networked system. To be effective in carrying out their functions, the IDSs need to be accurate, adaptive, and extensible. Given these stringent requirements and the high level of vulnerabilities of the current days' networks, the design of an IDS has become a very challenging task. Although, an extensive research has been done on intrusion detection in a distributed environment, distributed IDSs suffer from a number of drawbacks e.g., high rates of false positives, low detection efficiency etc. In this paper, the design of a distributed IDS is proposed that consists of a group of autonomous and cooperating agents. In addition to its ability to detect attacks, the system is capable of identifying and isolating compromised nodes in the network thereby introducing fault-tolerance in its operations. The experiments conducted on the system have shown that it has high detection efficiency and low false positives compared to some of the currently existing systems. © 2010 IEEE.

关键词： Intrusion detection

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