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Experiences of Using Cassandra for Molecular Dynamics Simulations

Experiences of Using Cassandra for Molecular Dynamics Simula...

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Euromicro conference on Parallel, distributed and Network-Based Processing

作者： Roger Hernandez Cesare Cugnasco Yolanda Becerra Jordi Torres Eduard Ayguadé Barcelona Supercomputing Center Barcelona Spain Universitat Politècnica de Catalunya Barcelona Tech. Barcelona supercomputing Center Barcelona Spain

In response to the requirements of applications that work with large amounts of data, various NoSQL databases have appeared to deal specifically with these challenges. These systems have become popular in environments such as data analytics and OLTP, however these are not the only data-intensive applications that can benefit from these databases. In the life sciences domain, there are many applications that still use flat files as a medium to store data, and they see themselves very limited in terms of scalability and performance, as well as code complexity. We present an analysis on the viability of using these databases for applications with data demands that differ in some of the characteristics from what these systems were originally designed for. By using these databases, we can also observe that the design of the data model, queries and other configuration parameters can have a considerable impact on performance, thus we present examples of different data and system configurations to analyse their effects on performance. With the executions that are presented in this paper we can see performance gaps of a factor of up to almost 5 between using different models, queries and configuration parameters.

关键词： Data models Trajectory Time factors distributed databases Peer-to-peer computing Scalability

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Revealing Potential Performance Improvements by Utilizing Hybrid Work-Sharing for Resource-Intensive Seismic Applications

Revealing Potential Performance Improvements by Utilizing Hy...

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Euromicro conference on Parallel, distributed and Network-Based Processing

作者： Patrick Siegl Rainer Buchty Mladen Berekovic Chair for Chip Design for Embedded Computing (C3E) Technische Universität Carolo-Wilhelminazu Braunschweig

Heterogeneous system architectures are becoming more and more of a commodity in the scientific community. While it remains challenging to fully exploit such architectures, the benefits in performance and hybrid speed-up, by using a host processor and accelerators in parallel in a non-monolithic matter, are significant. Hereby, the energy efficiency is becoming an increasingly critical challenge for future high-performance computing (HPC) systems, which do want to exceed the Exascale barrier with several competing architecture concepts ranging from high-performance CPUs, combined with GPUs acting as floating-point accelerators, to computationally weak CPUs, paired with dedicated and highly-perform ant FPGA-based accelerators. In this paper, we realize and evaluate a hybrid computing approach based on a two-dimensional seismic streaming algorithm with several heterogeneous system architectures, including conventional HPC approaches based on powerful CPUs and GPUs. Furthermore, we elaborate the effort on an embedded system platform claiming to be a "mini supercomputer" [1]. Several CPU and accelerator combinations are utilized in a manual work-sharing manner with the aim of achieving significant performance speed-ups and a detailed energy-efficiency study. Based on roofline models and experimental evaluations, the paper provides an insight into the fact that hybrid computing is mostly unconditionally beneficial for balanced systems regarding the performance as well as the energy efficiency, aiding the programmer in the decision whether or not costly, manually tuned, homogeneous implementations are worthwhile.

关键词： Graphics processing units Computer architecture Partitioning algorithms Benchmark testing Instruction sets Computational modeling Performance evaluation

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Energy-efficient secure distributed storage in mobile cloud computing

Energy-efficient secure distributed storage in mobile cloud ...

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Iranian conference on Electrical Engineering (ICEE)

作者： Amir Afianian S. S. Nobakht M. B. Ghaznavi-Ghoushchi International campus Kharazmi University Shiraz Iran Dept. of EE. School of Engineering Shahed University Tehran Iran

In the mobile cloud computing, one of the main concerns is to preserve the confidentiality and integrity of the outsourced data. Trust relations always have been one of the key factors in designing a security architecture for outsourcing data in mobile cloud computing in order to offload some of the computation overhead like pre-encryptions to a third trusted party which in practical environment it is not a wise idea, especially when we have a security sensitive data. In this paper, we present a method to improve Rabin's IDA to further be used for secure dispersal of information by employing a lightweight energy-efficient pre-processing phase before application of the IDA. In the pre-processing phase, we produce a cipher key using a selfie picture taken by the user. Further we employ a method of key management such that in case of missing one file, there would be no way of reconstructing the file while relieving the user from key management complexities. Due to our method's low-energy consuming nature, it can be confidently used in mobile cloud computing.

关键词： Decision support systems Electrical engineering conferences Indexes

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Number of Tasks, not Threads, is Key

Number of Tasks, not Threads, is Key

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Euromicro conference on Parallel, distributed and Network-Based Processing

作者： Ashkan Tousimojarad Wim Vanderbauwhede School of Computing Science University of Glasgow

The concept of task already exists in many parallel programming models. Programmers express parallelism by defining tasks in their applications, and runtime libraries schedule tasks on threads. However, in many task-based parallel programming models, choosing the right number of threads is still key to performance. Hence, the onus is on the programmer to decide not only about the number of tasks, but also about the optimal number of threads in order to get good performance. In this paper, we aim to show that desirable performance can be achieved by only focusing on tasks. For this purpose, we compare a purely task-centric parallel programming model called GPRM with three popular approaches (OpenMP, Intel Cilk Plus, and TBB) on two modern many core systems, the Tilera TILEPro64 and Intel Xeon Phi, which have respectively 64 and 60 physical cores integrated into a single chip. We have chosen three benchmarks with different characteristics to show that a task-centric approach such as GPRM can facilitate parallel programming while it outperforms other models in most cases. It does so by controlling only the number of tasks, rather than having to tune the number of threads.

关键词： Benchmark testing Instruction sets Parallel processing Runtime Programming Libraries Kernel

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Infusing Cognition into distributed computing A new approach to distributed datacenters with self-managing services on commodity hardware (Virtualized or Not) 23

Infusing Cognition into Distributed Computing A new approach...

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23rd IEEE international conference on Enabling Technologies, Infrastructure for Collaborative Enterprises (WETICE)

作者： Mikkilineni, Rao Morana, Giovanni C3 DNA Inc Santa Clara CA 95054 USA C3 DNA Inc Catania Italy

ISBN: (纸本)9781479942497

The advent of virtualization technologies and cloud computing has improved application provisioning speed, resource utilization, fault-management, availability using auto-failover and performance optimization using auto-scaling in distributed computing environments. However, heterogeneous virtualization technologies offered by different service providers with disparate infrastructure and their orchestration and management systems have also increased the complexity of managing distributed applications and vendor lock-in. In this paper we utilize new computing, management and programming models introduced using the DIME network architecture to provide end to end service visibility and control across distributed physical or virtual infrastructure. Resulting decoupling of application and service transaction management from myriad distributed infrastructure management systems at run-time enables policy based, secure, service mobility across physical servers or virtual machines deployed in datacenters or public clouds. Using the new architecture we have implemented service self-repair, auto-scaling, live-migration and end-to-end service transaction security independent of server and network security mechanisms.

关键词： business processes service management distributed computing cloud computing cognition DIME network architecture (DNA) Cognitive Container

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A look at the future of autonomous connected vehicle systems 23

A look at the future of autonomous connected vehicle systems

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23rd international conference on Software Engineering and Data Engineering, SEDE 2014

作者： Ingram, John E. McGregor, John D. School of Computing Clemson University United States

ISBN: (纸本)9781880843963

As vehicles become more autonomous they will form connections to intelligent infrastructure such as traffic signals, information sources, and other vehicles. The connections among vehicles and supporting infrastructure are extended by connections to yet more vehicles and infrastructure, which will form large-scale webs distributed over wide physical areas. Our current research is intended to understand how these systems, of a scale beyond anything previously subjected to engineering analysis, are different and how we can influence their creation and evolution. In this study we apply the characteristics of ultralarge scale (ULS) systems to evolving intelligent transportation systems in an effort to find explanations for past behavior and indications of future directions. Our results provide additional questions to be explored in future investigations. © ISCA, SEDE 2014.

关键词： Vehicles

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Security of cloud computing environment

Security of cloud computing environment

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23rd international Business Information Management Association conference, IBIMA 2014

作者： Karajeh, Huda Maqableh, Mahmoud Masa'deh, Ra'ed Moh'd Taisir Computer Information Systems King Abdullah II School for Information Technology The University of Jordan P.O. Box 13761 Amman 11942 Jordan Management Information Systems Faculty of Business The University of Jordan Amman Jordan Management Information Systems Department School of Business The University of Jordan Jordan

ISBN: (纸本)9780986041921

Cloud computing is a new computing paradigm that benefit from the distributed resources to solve large scale computing problems. During the last few years, cloud computing has grown rapidly as promising business idea in the IT industry due to its characteristics such as cost reduction, flexibility, convenience, and scalability. Unfortunately, there are several issues reduce the cloud computing growth such as loss of security, privacy, and control. The security problem is considered a major factor that could prevent the development of cloud computing. In this paper, we explored the cloud computing classification, challenges, and opportunities. Moreover, we review and discuss the cloud computing security issues and accountability. We emphasize that although there are many security models were proposed to improve the cloud security, but there is no any currently available solution to handle all security issues. Therefore, the future research has to be focus on solving the security issues and an accountability mechanism has to be developed.

关键词： Cloud security

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A graph transformation-based approach for the validation of checkpointing algorithms in distributed systems 23

A graph transformation-based approach for the validation of ...

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23rd IEEE international conference on Enabling Technologies, Infrastructure for Collaborative Enterprises (WETICE)

作者： Khlif, Houda Kacem, Hatem Hadj Hernandez, Saul E. Pomares Eichler, Cedric Kacem, Ahmed Hadj Simon, Alberto Calixto Univ Sfax ReDCAD Lab FSEGS Sfax Tunisia Inst Nacl Astrofis Opt & Electr Puebla 72840 Mexico CNRS LAAS F-31400 Toulouse France Univ Toulouse LAAS F-31400 Toulouse France Univ Papaloapan UNPA Loma Bonita 68400 Oaxaca Mexico

ISBN: (纸本)9781479942497

Autonomic computing systems are oriented to prevente the human intervention and to enable distributed systems to manage themselves. One of their challenges is the efficient monitoring at runtime oriented to collect information from which the system can automatically repair itself in case of failure. Quasi-Synchronous Checkpointing is a well-known technique, which allows processes to recover in spite of failures. Based on this technique, several checkpointing algorithms have been developed. According to the checkpoint properties detected and ensured, they are classified into: Strictly Z-Path Free (SZPF), Z-Path Free (ZPF) and Z-Cycle Free (ZCF). In the literature, the simulation has been the method adopted for the performance evaluation of checkpointing algorithms. However, few works have been designed to validate their correctness. In this paper, we propose a validation approach based on graph transformation oriented to automatically detect the previous mentioned checkpointing properties. To achieve this, we take the vector clocks resulting from the algorithm execution, and we model it into a causal graph. Then, we design and use transformation rules oriented to verify if in such a causal graph, the algorithm is exempt from non desirable patterns, such as Z-paths or Z-cycles, according to the case.

关键词： Autonomic computing checkpointing algorithms distributed systems Graph Transformation Happened Before Relation Z-cycles Z-paths

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Fine-grained Data Partitioning Framework for distributed Database systems 23

Fine-grained Data Partitioning Framework for Distributed Dat...

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23rd international conference on World Wide Web (WWW)

作者： Xu, Ning Cui, Bin Minist Educ Key Lab High Confidence Software Technol Beijing Peoples R China Peking Univ Sch EECS Beijing Peoples R China

ISBN: (纸本)9781450327459

With the increasing size of web data and widely adopted parallel cloud computing paradigm, distributed database and other distributed data processing systems, for example Pregel and GraphLab, use data partitioning technology to divide the large data set. By default, these systems use hash partitioning to randomly assign data to partitions, which leads to huge network traffic between partitions. Fine-grained partitioning can better allocate data and minimize the number of nodes involved within a transaction or job while balancing the workload across data nodes as well. In this paper, we propose a novel prototype system, LuTe, to provide highly efficient fine-grained partitioning scheme for these distributed systems. LuTe maintains a lookup table for each partitioned data set that maps a key to a set of partition ID(s). We use a novel lookup table technology that provides low cost of reading and writing lookup table. LuTe provides transaction support and high concurrency writing with Multi Version Concurrency Control (MVCC) as well. We implemented a prototype distributed DBMS on Post-gresql and used LuTe as a middle -ware to provide fine-grained partitioning support. Extensive experiments conducted on a cluster demonstrate the advantage of the proposed approach. The evaluation results show that in comparison with other state-of-the-art lookup table salutations, our approach can significantly improve throughput by about 20% to 70% on TPC-C benchmark.

关键词： partitioning distributed systems lookup table

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Processing Big Data Graphs on Memory-Restricted systems 14

Processing Big Data Graphs on Memory-Restricted Systems

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23rd international conference on Parallel Architectures and Compilation Techniques (PACT)

作者： Harshvardhan Amato, Nancy M. Rauchwerger, Lawrence Texas A&M Univ Dept Comp Sci & Engn Parasol Lab College Stn TX 77843 USA

ISBN: (纸本)9781450328098

With the advent of big-data, processing large graphs quickly has become increasingly important. Most existing approaches either utilize in-memory processing techniques, which can only process graphs that fit completely in RAM, or diskbased techniques that sacrifice performance. Contribution. In this work, we propose a novel RAM-Disk hybrid approach to graph processing that can scale well from a single shared-memory node to large distributed-memory systems. It works by partitioning the graph into subgraphs that fit in RAM and uses a paging-like technique to load subgraphs. We show that without modifying the algorithms, this approach can scale from small memory-constrained systems (such as tablets) to large-scale distributed machines with 16, 000+ cores.

关键词： Parallel Graph Processing Out-of-Core Graph Algorithms Graph Analytics Big Data distributed computing

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