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5th international Conference on Information Technology - New Generations

作者： Guo Yu-Feng Li Qiong Liu Guang-Ming Cao Yue-Sheng Zhang Lei Natl Univ Def Technol Comp Inst Sch Comp Beijing Peoples R China

ISBN: (纸本)9780769530994

the technology of parallel 10 is one of the key technologies for high performance computer. Firstly, the 10 system of the newest Top500 typical machines will be introduced in this paper. Secondly, a new distributed shared parallel 10 system for high performance computer (DSPIO) will be put forward, and some key technologies implemented in the system 14411 be discussed Finally, a prototype system is built. the experiment results show that this architecture can offer high 10 bandwidth, good scalability, and suit for high performance computing very much.

关键词： parallel processing systems

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Caching Resource Allocation and Mobility Aware in Information-Centric Networking with Mobile Edge computing 18

Caching Resource Allocation and Mobility Aware in Informatio...

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18th IEEE Int Symp on parallel and distributed Proc with Applicat (ISPA) / 10th IEEE Int Conf on Big Data and Cloud Comp (BDCloud) / IEEE Int Symp on Social Comp and Networking (SocialCom) / IEEE Int Conf on Sustainable Comp and Commun (SustainCom)

作者： Khan, Daud Haopeng, Chen Din, Najamul Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China

ISBN: (纸本)9781665414852

the rapid rise in communication delay and the speed of downloading Wireless Communication devices with Fifth Generation Wireless Networks (5-G) wireless networks, mobile edge servers may use the high-speed local link to reduce the demand of their core networks by caching or prefetching content. the Information-Centric Networking (ICN) with Mobile Edge computing (MEC) aims to upgrade its system to overcome the lack of network capacity. the aim is to provide a network service that is more suitable today (particularly resource allocation and mobility) and resilient to interruptions and failures. Cache resource allocation and mobility is one of the problematic and realistically major issues of Information-Centric-Network and in Mobile Edge computing. though several studies have been optimized. A minimum consideration has been devoted to minimizing user energy consumption to improve caching efficiency and service quality. To address this deficiency, the focus of this study is optimized cache resource allocation for closer users and connected networks with minimum time delay and energy consumption considering mobility. For this reason, the problem of caching resource allocation (CRA) is divided into two subproblems: the problem of Base Station caching ability (BSCC) and the challenge of Request MAtching (RMAT). then we can one by one solve BSCC and RMAT and merge their CRA solutions.

关键词： Mobile Edge computing Resource Allocation Real-Time Caching and Mobility

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Aspect-Oriented Programming based building block platform to construct Domain-Specific Language for HPC application 36

Aspect-Oriented Programming based building block platform to...

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36th IEEE international parallel and distributed Processing symposium (IEEE IPDPS)

作者： Ishimura, Osamu Yoshimoto, Yoshihide Univ Tokyo Grad Sch Informat Sci & Technol Tokyo Japan

ISBN: (纸本)9781665497473

the world of HPC systems is changing to a more complicated system because the performance improvement of processors has been slowed down. One of the promising approaches is Domain-Specific Language (DSL), which provides a productive environment to create a high-efficient program without pain. However, existing DSL platforms themselves often lack portability and cost DSL developers great effort. To solve this issue, we propose an Aspect-Oriented Programming (AOP) based DSL constructing platform, enabling developers to build a DSL platform by combining Aspect modules. Aspect modules manage abstracted application flow, data structure, and memory access on our platform. therefore, developers can create any DSL platform whose target application has the attributes which HPC applications usually have, the abstraction assumes. this study implemented a prototype platform that can handle MPI and OpenMP layers. the prototype supports three types of applications (Structured-Grid, Unstructured-Grid, and Particle Simulation). then, we evaluated the overheads caused by achieving flexibility and productivity of the platform.

关键词： Domain-Specific Language Aspect-Oriented Programming High-Performance computing

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Analysis models for blind search in unstructured overlays

Analysis models for blind search in unstructured overlays

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5th IEEE international symposium on Network computing and Applications

作者： Wu, Bin Kshemkalyani, Ajay D. Univ Illinois Chicago IL 60612 USA

ISBN: (纸本)0769526403

Flooding and random walk are two basic mechanisms for blind search in unstructured peer-to-peer overlays. Although these mechanisms have been widely studied experimentally and via simulations, they have not been analytically modeled. Time overhead, message overhead, and success rate are often used as metrics for search schemes. this paper shows that node coverage is an important metric to estimate performance metrics such as the message efficiency, success rate, and object recall of a blind search. the paper then presents two simple models to analyze node coverage in random graph overlays. these models are useful to set query parameters, evaluate search efficiency, and to estimate object replication on a statistical basis.

关键词： distributed computer systems

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Large-scale DNA sequence assembly by using computing grid

Large-scale DNA sequence assembly by using computing grid

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5th international Conference on Grid and Cooperative computing (GCC 2006)

作者： Fang, Xiaoyong Luo, Zhigang Wang, Zhenghua Ding, Fan Natl Univ Def Technol Natl Lab Parallel & Distributed Proc Changsha 410073 Hunan Peoples R China

ISBN: (纸本)0769526950

DNA sequence assembly is a fundamental part of biological computing. However, most of the large-scale sequence assemblies require intensive computing power and huge storage. To speed up the assembly process, we here propose a method for large-scale DNA sequence assembly by using computing grid the central idea of our method is to first cluster the input of fragment set into many non-intersected subsets using k-mers and then to distribute them to all nodes of the grid-computing system. Our method has accuracy of more than 92% on the test data sets under the simulated grid-computing system but costing shorter time and lower storage. Our method can efficiently process large-scale DNA sequence assembly by taking advantage of huge storage and computing capacity of computing gird.

关键词： DNA sequences

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MC-SkyNet: Mobile-cloud dynamic partitioning for mobile cloud applications 19

MC-SkyNet: Mobile-cloud dynamic partitioning for mobile clou...

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ISCC 2014 Workshop - 5th IEEE international Workshop on Performance Evaluation of Communications in distributed Systems and Web based Service Architectures, PEDISWESA 2014

作者： Bayat, Navid Lutfiyya, Hanan Department of Computer Science University of Western Ontario Canada

ISBN: (纸本)9781479942770

Mobile devices have limited resources including short battery life, storage capacity and processor performance. this limits the applications that can run on it. Mobile applications can be partitioned so that some of the application runs on a cloud. this works well for applications with relatively little data to be transferred and that do not have a high level of interactiveness with the user. Challenges with applications that have large amounts of data to be transferred and have a high level interactiveness is the high latency incurred by the wired network and packet loss of the wireless network. A cloudlet is a resource-rich computer or cluster of computers that is connected to the Internet and is available for use by nearby mobile devices. A mobile application can be partitioned so that part of it runs on the cloudlet. In this paper, we present the MC-Skynet framework which introduces fine-grained offloading approach and support for runtime and dynamic partitioning of an application. this is different from previous approaches, in that MC-Skynet not only provides dynamic partitioning and offloading, but is also adaptive to the changes of the state of a cloudlet by introducing a cloudlet mesh network and self-learningg decision making module to estimate the offloading cost. © 2014 IEEE.

关键词： Mobile computing

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Utilizing dynamic data value localities in internal variables

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5th international Conference on parallel and distributed computing

作者： Hirasawa, S Hiraki, K Univ Tokyo Grad Sch Informat Sci & Technol Tokyo Japan

ISBN: (纸本)3540240136

An effective approach to accelerate applications is to execute them in parallel. there are value localities in values of program variables. Data value reuse is able to enhance performance in applications by canceling same calculations. We propose the use of data value reuse and speculative parallelism with software to execute existing sequential applications in parallel. this study profiles value localities that exist in method arguments of benchmark programs, and evaluates performance improvements by applying data value reuse and speculative parallelism.

关键词： value locality data value reuse automatic parallel execution

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the grandest challenge in distributed simulation 5

The grandest challenge in distributed simulation

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5th IEEE international Workshop on distributed Simulation and Real-Time Applications, DS-RT 2001

作者： Reynolds, Paul F. Drewry, Dasren MaSTRI/UVa

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A Workload-Specific Memory Capacity Configuration Approach for In-Memory Data Analytic Platforms 15

A Workload-Specific Memory Capacity Configuration Approach f...

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15th IEEE international symposium on parallel and distributed Processing with Applications (ISPA) / 16th IEEE international Conference on Ubiquitous computing and Communications (IUCC)

作者： Liang, Yi Chang, Shilu Su, Chao School of Systems Science Beijing Normal University Beijing P.R. China

ISBN: (纸本)9781538637906

Nowadays, in-memory data analytic platforms, such as Spark, are widely adopted in big data processing. the proper memory capacity configuration has been proved to be an efficient way to guarantee the workload performance in such platforms. Currently, Spark adopts the static way to configure the memory capacity for workloads based on user specifications. However, due to the lack of deep knowledge of the target platform and workload characteristics, nonexpert users often conservatively configure the memory capacity in an excessive way, which reduces the memory utilization significantly. On the other hand, as the memory requirements are quite different among diverse workloads, there is not the one-size-fits-all solution for memory capacity configuration. Aiming on these issues, we propose WSMC, a workload-specific memory capacity configuration approach for the Spark workloads, which guides users on the memory capacity configuration with the accurate prediction of the workload's memory requirement under various input data size and parameter settings. First, WSMC classifies the in-memory computing workloads into four categories according to the workloads' Data Expansion Ratio. Second, WSMC establishes a memory requirement prediction model with the consideration of the input data size, the shuffle data size, the parallelism of the workloads and the data block size. For the ad-hoc workload, WSMC can profile its Data Expansion Ratio with small-sized input data and decide the category that the workload falls into. Users can then determine the accurate configuration in accordance with the corresponding memory requirement prediction. through the comprehensive evaluations with SparkBench workloads, we found that, contrasting with the default configuration, configuration with the guide of WSMC can save over 40% memory capacity with the workload performance slight degradation (only 5%), and compared to the proper configuration found out manually, the configuration with the guide

关键词： Memory management Sparks Predictive models Task analysis Data models parallel processing Data analysis

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From global choreographies to verifiable efficient distributed implementations

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JOURNAL OF LOGICAL AND ALGEBRAIC MEthODS IN PROGRAMMING 2020年 115卷

作者： Jaber, Mohamad Falcone, Ylies Attie, Paul Khalil, Al-Abbass Hallal, Rayan El-Hokayem, Antoine Amer Univ Beirut Comp Sci Dept Beirut Lebanon Univ Grenoble Alpes CNRS INRIA Grenoble INPLab Informat Grenoble Grenoble France Augusta Univ Sch Comp & Cyber Sci Augusta GA USA

We define a method to automatically synthesize efficient distributed implementations from high-level global choreographies. A global choreography describes the execution and communication logic between a set of provided processes which are described by their interfaces. At the choreography level, the operations include multiparty communications, choice, loop, and branching. A choreography is master triggered: it has one master to trigger its execution. this allows us to automatically generate conflict-free distributed implementations without controllers. the behavior of the synthesized implementations follows the behavior of choreographies. In addition, the absence of controllers ensures the efficiency of the implementation and reduces the communication needed at runtime. Moreover, we define a translation of the distributed implementations to equivalent Promela versions. the translation allows verifying the distributed system against behavioral properties. We implemented a Java prototype to validate the approach and applied it to automatically synthesize micro-service architectures. We also illustrate our method on the automatic synthesis of a verified distributed buying system. (C) 2020 Elsevier Inc. All rights reserved.

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