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Cause-effect Graphing Technique: A Survey of Available Approaches and Algorithms

Cause-effect Graphing Technique: A Survey of Available Appro...

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/distributed computing (SNPD)

作者： Ehlimana Krupalija Emir Cogo Šeila Bećirović Irfan Prazina Ingmar Bešić Faculty of Electrical Engineering University of Sarajevo Sarajevo Bosnia and Herzegovina

Cause-effect graphs are often used as a method for deriving test case suites for black-box testing different types of systems. This paper represents a survey focusing entirely on the cause-effect graphing technique. A comparison of different available algorithms for converting cause-effect graph specifications to test case suites and problems which may arise when using different approaches are explained. Different types of graphical notation for describing nodes, logical relations and constraints used when creating cause-effect graph specifications are also discussed. An overview of available tools for creating cause-effect graph specifications and deriving test case suites is given. The systematic approach in this paper is meant to offer aid to domain experts and end users in choosing the most appropriate algorithm and, optionally, available software tools, for deriving test case suites in accordance to specific system priorities. A presentation of proposed graphical notation types should help in gaining a better level of understanding of the notation used for specifying cause-effect graphs. In this way, the most common mistakes in the usage of graphical notation while creating cause-effect graph specifications can be avoided.

关键词： Systematics Software algorithms Closed box Focusing Real-time systems Software tools Usability

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Dynamic Data Layout Optimization for High Performance Parallel I/O

Dynamic Data Layout Optimization for High Performance Parall...

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international conference on High Performance computing

作者： Everett Neil Rush Bryan Harris Nihat Altiparmak Ali Şaman Tosun Department of Computer Eng. & Computer Science University of Louisville KY Department of Computer Science University of Texas at San Antonio TX

Storage performance bottlenecks are one of the major threats limiting the scalability of I/O intensive applications. Parallel storage systems have the potential to alleviate I/O bottlenecks through concurrent operation of independent storage components if a parallelism-aware data layout can be continuously guaranteed. Existing systems use one-layout-fits-all data placement strategy that frequently results in sub-optimal I/O parallelism. Guided by association rule mining, graph coloring, bin packing, and network flow techniques, this paper proposes a general framework for self-optimizing parallel storage systems, with the goal of continuously providing a high-degree of I/O parallelism that is robust to changes in the parallel access patterns of applications and the coexistence of applications with different parallel access characteristics. Evaluation results indicate that the proposed framework is highly successful in adjusting to skewed parallel access patterns for both traditional hard disk drive (HDD) based storage arrays and solid-state drive (SSD) based all-flash arrays. In addition to the storage arrays, the proposed framework is sufficiently generic to be tailored to various other parallel storage scenarios including but not limited to key-value stores, parallel/distributed file systems, and internal parallelism of SSDs.

关键词： Correlation Layout Parallel processing Monitoring Optimization Data mining distributed databases

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Designing a Middleware API for Building Private IaaS Cloud Architectures

Designing a Middleware API for Building Private IaaS Cloud A...

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international conference on distributed computing systems Workshop

作者： Gabriel Loewen Michael Galloway Susan Vrbsky Department of Computer Science The University of Alabama Tuscaloosa Alabama

One of the core components in building a cloud infrastructure is the development of a middleware solution, which allows for ease in resource management. Middleware solutions for IaaS cloud architectures are responsible for managing the instantiation of virtual machine images, constructing persistent storage volumes, providing node-to-node message passing for metadata retrieval, and more. Our reasoning for developing a new cloud middleware API is to address issues that we have encountered in current cloud middleware solutions, which are centered upon ease of deployment and ease interfacing with the system. In this paper we present a cloud middleware API that we have developed to be used in building a private IaaS cloud architecture, and we compare our implementation with that of open source general purpose IaaS cloud architectures currently available.

关键词： Cloud computing Computer architecture Virtual machining Head Magnetic heads Resource management

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FedQL: A framework for federated queries processing on rdF stream and relational data 23rd

FedQL: A framework for federated queries processing on RDF s...

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23rd international conference on Database systems for Advanced Applications, DASFAA 2018

作者： Rao, Guozheng Zhao, Bo Zhang, Xiaowang Feng, Zhiyong School of Computer Science and Technology Tianjin University Tianjin300350 China School of Computer Software Tianjin University Tianjin300350 China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin300350 China

ISBN: (纸本)9783319914541

In this paper, we present a framework (FedQL) for processing rdF stream and relational data in a federal way. Firstly, we introduce a formalization of our federated query language by conjunction of continuous queries and SQL queries. Secondly, we present a white-box-based framework to separate query processing from query executing. The framework mainly includes three modules, namely, Query processor, Data transformer, and SPARQL query execution. Finally, we implement FedQL built on C-SPARQL and MySQL by employing three centralized SPARQL engines (e.g. Jena, rdF-3X, and gStore) and one distributed SPARQL engine (e.g. TriAD) in an adaptive way and evaluate FedQL on a real-world dataset. The experimental results show that FedQL is efficient and effective in processing rdF stream and relational data in a federal way. © Springer international Publishing AG, part of Springer Nature 2018.

关键词： Engines

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The Glasgow Raspberry Pi Cloud: A Scale Model for Cloud computing Infrastructures

The Glasgow Raspberry Pi Cloud: A Scale Model for Cloud Comp...

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international conference on distributed computing systems Workshop

作者： Fung Po Tso David R. White Simon Jouet Jeremy Singer Dimitrios P. Pezaros School of Computing Science University of Glasgow UK

Data Centers (DC) used to support Cloud services often consist of tens of thousands of networked machines under a single roof. The significant capital outlay required to replicate such infrastructures constitutes a major obstacle to practical implementation and evaluation of research in this domain. Currently, most research into Cloud computing relies on either limited software simulation, or the use of a testbed environments with a handful of machines. The recent introduction of the Raspberry Pi, a low-cost, low-power single-board computer, has made the construction of a miniature Cloud DCs more affordable. In this paper, we present the Glasgow Raspberry Pi Cloud (PiCloud), a scale model of a DC composed of clusters of Raspberry Pi devices. The PiCloud emulates every layer of a Cloud stack, ranging from resource virtualisation to network behaviour, providing a full-featured Cloud computing research and educational environment.

关键词： Computational modeling Cloud computing Servers Containers Computer architecture Linux

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Reactive visual design and control of distributed industrial instrumentation systems

IECON Proceedings (Industrial Electronics Conference)

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IECON Proceedings (Industrial Electronics conference) 1997年 1卷 252-257页

作者： Bogunovic, Nikola Tulac, Sanjin R. Boskovic Inst Zagreb Croatia

Existing visual engineering environments for design and control of reconfigurable industrial instrumentation systems tend to overlook the importance of the present-day heterogeneous distributed computing infrastructure. In this paper we define a virtual distributed instrument (VDI), over a computer network, as a collection of process interface devices, data acquisition and processing software modules, and a central virtual front panel (VFP). The complexity of the VDI visual design and control is tackled by decoupling the technique of programming individual task modules from the technique of configuring modules into a complete instrumentation system and the VFP design. The task module design is still based on the low level programming paradigm, while the VDI configuration and the VFP design is based on a novel, multifaceted, graphical editor, and an underpinning distributed application manager (DAM). The paper sets out the basic principles adopted in the VDI design and control, and analyses some specific system constraints.

关键词： distributed computer systems

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A Cooperative Repair Scheme for MSR Codes with Two Erasures and Small Finite Field

A Cooperative Repair Scheme for MSR Codes with Two Erasures ...

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international conference on Communication Technology (ICCT)

作者： Yajuan Liu Han Cai Xiaohu Tang The Information Security and National Computing Grid Laboratory Southwest Jiaotong University Chengdu China

In large-scale distributed storage systems, the repair bandwidth, i.e., the amount of data downloaded for failures, is one of the most important factors that determines the performance of the system. In this paper, we design a novel cooperative repair scheme, specifically, for Zigzag MSR codes with optimal repair bandwidth, enabling the repair of any $h=2$ failed nodes. To the best of our knowledge, this is the first cooperative repair scheme for Zigzag MSR codes. In contrast to the previous cooperative repair MSR codes, our scheme extremely reduces the size of finite field to $\mathbb{F}_{q} \leq n+1$ .

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Computation Offloading Based on Deep Reinforcement Learning for UAV-MEC Network 1

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23rd international conference on Algorithms and Architectures for Parallel Processing (ICA3PP)

作者： Wan, Zheng Luo, Yuxuan Dong, Xiaogang Jiangxi Univ Finance & Econ Nanchang Jiangxi Peoples R China

ISBN: (数字)9789819708598

ISBN: (纸本)9789819708581;9789819708598

The existing MEC technology is not suitable for the situations where the number of Mobile Users (MUs) increases explosively or network facilities are sparsely distributed, and general MEC solutions cannot fully address the MU emergency communication and task offloading requirements in post disaster emergency communication networks. Unmanned Aerial Vehicle (UAV) can play an important role in wireless systems because it can be flexibly deployed to quickly help disaster areas improve signal coverage and restore communication quality, enabling MUs in disaster areas to unload tasks normally. This article investigates the deployment of UAV-MEC systems in emergency situations of network communication interruption in the region after a disaster, and studies the optimization strategy for task offloading in edge environments. Based on the relevant advantages of UAV and MEC technology, we have constructed a UAV-MEC system model for emergency disaster relief scenarios. Under the constraints of UAV flight trajectory and MU calculation mode, the problem of minimizing the total system delay is formulated. Due to the non convexity of this problem, there are high-dimensional state spaces and continuous action spaces, making it difficult to find the optimal solution. This article proposes a Split DQN (SDQN) algorithm based on Reinforcement Learning (RL) and uses it to solve optimization problems. The results of simulation experiments show that our proposed SDQN algorithm can approach the global optimal solution of the optimization problem more closely than the benchmark algorithm, and thus reduce the total system delay. Thus, it is an effective optimization decision-making scheme.

关键词： Mobile edge computing Unmanned Aerial Vehicle Reinforcement learning

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A Blockchain-driven Architecture for Usage Control in Solid

A Blockchain-driven Architecture for Usage Control in Solid

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international conference on distributed computing systems Workshop

作者： Davide Basile Claudio Di Ciccio Valerio Goretti Sabrina Kirrane Department of Computer Science Sapienza University of Rome Italy Department of Information Systems and Operations Vienna University of Economics and Business Austria

Decentralization initiatives like Solid and *** enable data owners to control who has access to their data and to stimulate innovation by creating both application and data markets. Once data owners share their data with others, though, it is no longer possible for them to control how their data are used. To address this issue, we propose a usage control architecture to monitor compliance with usage control policies. To this end, our solution relies on blockchain and trusted execution environments. We demonstrate the potential of the architecture by describing the various workflows needed to realize a motivating use case scenario for data markets. Additionally, we discuss the merits of the approach from privacy, security, integrateability, and affordability perspectives.

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Workflow Technology for Drug Discovery

Workflow Technology for Drug Discovery

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international conference on Grid and Pervasive computing workshops, GPC

作者： Liangying Luo Ruisheng Zhang Chunyan Zhang Xiaoliang Fan Lian Li Engineering Research Center of Open Source Software and Real-time Systems Ministry of Education Department of Information Science and Engineering Lanzhou University Lanzhou Gansu China

Grid computing can integrate huge services and resources across distributed, heterogeneous, dynamic virtual organizations, and provide tremendous computing power in parallel. Workflow technology enables the user to compose complex Grid applications on distributed heterogeneous and unreliable hardware resources without taking care of lower level details. The drug discovery process almost comprises a number of sub processes, in which various software to be invoked, complex computing and huge amounts of data analyze are involved. Scientific workflow is the process of combining data and processes into a configurable, structured set of steps that implement semi-automated. distributed processing and parallel computing capacity can improve the Computational efficiency. Therefore, the problems in drug discovery can be solved using the workflow technology. This paper discusses the problem on drug discovery process and presents how to utilize workflow in our eSOC System to resolve the three most important issues in drug discovery.

关键词： Pharmaceutical technology Drugs Grid computing Concurrent computing distributed computing Application software Hardware Data analysis distributed processing Parallel processing

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