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2015 ieee 17th international Conference on High Performance computing and Communications (HPCC)

作者： Huang, Haifei Li, Jianxin Zhang, Richong Yu, Weiren Ju, Wuyang Beihang Univ Sch Comp Sci & Engn State Key Lab Software Dev Environm Beijing 100191 Peoples R China

ISBN: (纸本)9781479989379

Billions of microblogs are generated from many social medias such as Twitter and Weibo. How to make new microblogs available to the search engine immediately is a critical and challenging problem. Most existing studies generally put all terms' posting list together when building index, which leads to low index update performance and high query latency. In addition, time is a key feature of microblogs, and most applications including event detection only need most recent data. In this paper, we design a distributed online index system for temporal microblog data, named LiveIndex, which can significantly reduce the time cost of queries with specific time range, such as queries in event tracing. Firstly, our index is organized as time Range Partitions to reduce update cost. Secondly, In every partition, a hash table is used to map each term's posting list to corresponding sub-partition. Finally, to further reduce the index cost, we adopt an index chain to merge terms with the same posting list. the experiments on the real dataset demonstrate the effectiveness and efficiency of our proposed method.

关键词： Microblog Temporal Index time Range Partition

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the NetLogger methodology for high performance distributed systems performance analysis 7

The NetLogger methodology for high performance distributed s...

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7th international symposium on High Performance distributed computing

作者： Tierney, B Johnston, W Crowley, B Hoo, G Brooks, C Gunter, D Univ Calif Berkeley Lawrence Berkeley Lab Comp Sci Directorate Berkeley CA 94720 USA

ISBN: (纸本)0818685794

We describe a methodology that enables the real-time diagnosis of performance problems in complex high-performance distributed systems. the methodology includes tools for generating precision event logs that can be used to provide detailed end-to-end application and system level monitoring;a Java agent-based system for managing the large amount of lagging data;and tools for visualizing the log data and real-time state of the distributed system. We developed these tools for analyzing a high-performance distributed system centered around the transfer of large amounts of data at high speeds from a distributed storage sewer to a remote visualization client. However this methodology should be generally applicable to any distributed system. this methodology called NetLogger has proven invaluable for diagnosing problems in networks and in distributed systems code. this approach is novel in that it combines network, host, and application-level monitoring, providing a complete view of the entire system.

关键词： Data visualization

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A parallel distributed application of the wireless sensor network

A parallel distributed application of the wireless sensor ne...

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7th international Conference on High Performance computing and Grid in Asia Pacific Region (HPCAsia 2004)

作者： Khan, AI Isreb, M Spindler, RS Monash Univ Sch Networking Comp Clayton Vic 3199 Australia

ISBN: (纸本)076952138X

the paper describes the use of a wireless sensor network (WSN) for performing parallel pattern recognition computations. A complexity analysis indicates that the proposed algorithm is independent of the number of nodes and hence may scale up indefinitely with the network. It's shown that any material object once overlaid with a WSN, develops a latent associative memory, which enables the object to memorise some of its critical internal states for a real time comparison with those induced by the transient external conditions.

关键词： Wireless telecommunication systems

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CEMO : Cloud Edge Architecture Development for a Multi object Tracking 7

CEMO : Cloud Edge Architecture Development for a Multi Objec...

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7th international Conference on Platform Technology and Service (PlatCon)

作者： Seo, JiHyun Cha, Jaegeun Choi, Hyunhwa Jang, Sumin Kim, Daewon Kim, Sunwook Elect & Telecommun Res Inst ETRI Artificial Intelligence Res Lab Daejeon South Korea

ISBN: (纸本)9781665417662

Due to increase of video surveillance situation, advance of autonomous driving technology, and development of artificial neural network, the multi-object tracking (MOT) has been attracted attention in the computer vision community. Moreover, the importance of multi-input processing and real-time analysis is increasing with the need for fast processing of many videos. Modern multi-object trackers use sequential processing to input continuous frames of video and derive tracking trajectories for all objects mainly on a single server. When performing deep learning with high computation on a single server, latency inevitably occurs. the latency is the main reason that the tracker cannot meet the real-time requirements. Removing the number of operations to reduce latency will immediately lead to poor performance of tracker. Cloud edge computing is the best way to meet the real-time distributed requirements because it can solve the data transmission delay problem of traditional cloud computing and effectively cooperate between edge devices. In this paper, we propose a new system structure called Cloud Edge Multi object (CEMO) tracker for developing deep learning-based cloud-edge real-time video analysis applications. CEMO tracker is a container-based microservice structure that divides large application functions into small, independent units, and is a flexible architecture based on Kubernetes, a container orchestration platform. CEMO tracker, which can efficiently perform operations on simultaneous input, integrate the results and show them to users, is expected to solve multiple objects tracking problems efficiently through distributed cloud edge computing technology.

关键词： Cloud edge computing Multi object Tracking (MOT) Edge Devices Architecture development

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Locality-aware extension of π-Calculus to model self-organizing behavior in massively distributed embedded systems

Locality-aware extension of π-Calculus to model self-organi...

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2010 13th ieee international symposium on object/Component/Service-oriented real-time distributed computing Workshops, ISORC Workshops 2010

作者： Orfanus, Dalimir Janacik, Peter Wagner, Flávio Rech ABB Corporate Research Centre Oslo Norway Heinz Nixdorf Institute University of Paderborn Paderborn Germany Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil

ISBN: (纸本)9780769540382

Massively distributed Embedded Systems (MDES) such as Wireless Sensor Networks (WSN) are gaining increasing attention, since they enable a broad range of novel applications starting from monitoring oceans to exploring distant planets. WSNs consist of hundreds of nodes that have typically very limited recourses (computational, memory, energy, etc.) and are deployed in a dynamic environment, where they have to continuously adapt to new conditions. Due to the small-size requirement of the nodes, they are highly resource-constrained. Because of that, the amount of functionality that may be present in each node is limited. therefore, cooperation between nodes is needed in order to accomplish complex tasks. these facts turn the design of applications for WSNs into a challenge. A promising approach how to deal with it is to use the emergent self-organization metaphor. In this paper a new process algebra (PA) called "Locality-aware extension of π-Calculus" is presented. the algebra is one of several techniques included in a new design methodology for the design of self-organizing behavior in MDES. the method is based on π-Calculus and allows a high-level description of interactions among processes. As the most important characteristic of self-organization is the restriction of interactions to neighboring elements (localized interactions), we extend the π-Calculus with locality awareness, a necessary abstraction to allow the modeling of self-organization in MDES. To get full locality awareness in π-Calculus, we extended it with concepts for modeling spatiality, probability and time. Moreover, new types of channels are included to cover various types of communication such as distribution, broadcast and aggregation. In order to validate this new PA, we successfully model a self-organizing clustering algorithm for WSNs. © 2010 ieee.

关键词： Clustering algorithms

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distributed resource selection in grid using decision theory 07

Distributed resource selection in grid using decision theory

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7th ieee international symposium on Cluster computing and the Grid

作者： Nassif, Lilian Noronha Nogueira, Jose Marcos de Andrade, Flavio Vinicius Univ Fed Minas Gerais Belo Horizonte MG Brazil

ISBN: (纸本)9780769528335

Grid technology allows resource sharing among several entities, but selecting the best resource to run a specific job remains one of its main problems. the challenges for the best resource selection involve analysis of several factors such as prediction time to run a job, access restriction to resources, and cost to use resources. this paper presents a resource selection model using decision theory for combining these influential factors in the resource selection process. the model is based on a multi-attribute utility function that maximizes the user preference. this model forms part of a multi-agent system deploying distributed and parallel processing for job execution prediction, access policy verification, and resource selection models. All models of this paper were verified through experiments using real machines. they have presented appropriate functional behaviors and positive performance results.

关键词： Decision theory Predictive models Multiagent systems Costs Uncertainty Resource management Diversity reception Error probability Parallel processing Middleware

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A policy deployment model for the Ponder language 7

A policy deployment model for the Ponder language

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7th ieee/IFIP international symposium on Integrated Network Management, IM 2001

作者： Dulay, N. Lupu, E. Sloman, M. Damianou, N. Department of Computing Imperial College 180 Queen's Gate LondonSW7 2BZ United Kingdom

ISBN: (纸本)0780367197

Policies are rules that govern the choices in behaviour of a system. Security policies define what actions are permitted or not permitted, for what or for whom, and under what conditions. Management policies define what actions need to be carried out when specific events occur within a system or what resources must be allocated under specific conditions. there is considerable interest in the use of policies for the security and management of large-scale networks and distributed services. Existing policy work has focussed on specification, information models and application-specific policy enforcement. We address the important goal of providing a general-purpose deployment model for policies that is independent of the underlying policy enforcement mechanisms and can be employed in mixed policy environments. In this paper, we present a deployment model that is object-oriented and addresses the instantiation, distribution and enabling of policies as well as the disabling, unloading and deletion of policies. the model defines objects for policies, for domains, and for the policy enforcement agent and outlines the interactions needed between them. the model also caters for changes in the memberships of domains since such changes also effect policy enforcement. the model forms part of the run-time support for Ponder;a new policy language that combines structuring ideas from object-oriented languages with a common set of policy basic types. © 2001 ieee.

关键词： Quality management

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the real-time Systems Compiler: migrating event-triggered systems to time-triggered systems

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SOFTWARE-PRACTICE & EXPERIENCE 2011年第12期41卷 1491-1515页

作者： Scheler, Fabian Schroeder-Preikschat, Wolfgang Univ Erlangen Nurnberg Dept Comp Sci Distributed Syst & Operating Syst 4 Erlangen Germany

In this paper, we present a prototype of the real-time Systems Compiler (RTSC). the RTSC is a compiler-based tool that enables the migration from event-triggered to time-triggered real-time systems. this is achieved by replacing the real-time systems architecture of a given real-time system. the real-time systems architecture governs the structural properties of the white-box view of a real-time system: how are tasks attached to events and how are dependencies between different tasks implemented. the RTSC uses an abstraction called Atomic Basic Blocks (ABBs) to hide the real-time systems architecture and capture all relevant dependencies of an event-triggered system in a global ABB-graph. the RTSC automatically extracts that ABB-graph from an event-triggered real-time system given as source code, transforms that ABB-graph appropriately, and maps it to a statically computed schedule that could be executed by standard time-triggered real-time operating systems. Important temporal properties of the physical environment of the real-time system needed for that transformation are stored in a system model provided as additional input to the RTSC. Furthermore, we demonstrate the applicability of our approach and the operation of our prototype by transforming an event-triggered control application into a time-triggered equivalent. Copyright (C) 2011 John Wiley & Sons, Ltd.

关键词： real-time systems time-triggered systems event-triggered systems

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Scaling Service-oriented Applications into Geo-distributed Clouds

Scaling Service-oriented Applications into Geo-distributed C...

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ieee 7th international symposium on Service-oriented System Engineering (SOSE)

作者： Zhu, Jieming Zheng, Zibin Zhou, Yangfan Lyu, Michael R. Chinese Univ Hong Kong Dept Comp Sci & Engn Shatin Hong Kong Peoples R China Chinese Univ Hong Kong Shenzhen Res Inst Shenzhen Peoples R China Natl Univ Def Technol Sch Comp Sci Changsha Peoples R China

ISBN: (纸本)9780769549446;9781467356596

With the significant prevalence of cloud computing, more and more data centers are built to host and deliver various online services. However, a key challenge faced by service providers is how to scale their applications into geo-distributed data centers to improve application performance as well as minimizing the operational cost. While most existing deployment methods ignore the service dependencies in an application, this paper proposes a general dynamic service deployment framework to bridge this gap, in which a deployment manager and a local scheduler are designed to optimize data center selection and auto-scale the service instances in each data center respectively. More specifically, we formulate the deployment problem across multiple data centers as a compact minimization model, which can be solved efficiently by a genetic algorithm. To evaluate the performance of our approach, extensive experiments are conducted based on a large-scale real-world latency dataset. the experimental results show that our approach substantially outperforms the other existing methods.

关键词： Dynamic deployment service-oriented application geo-distributed clouds genetic algorithm

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Virtual Cloud Core: OpenCLWorkload Sharing Framework for Connected Devices

Virtual Cloud Core: OpenCLWorkload Sharing Framework for Con...

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ieee 7th international symposium on Service-oriented System Engineering (SOSE)

作者： Shih, Chi-Sheng Chen, Yu-Kai Chen, Joen Chang, Norman Natl Taiwan Univ Grad Inst Networking & Multimedia Dept Comp Sci & Informat Engn Embedded Syst & Wireless Networking Lab Taipei Taiwan Inst Informat Ind Taipei Taiwan

ISBN: (纸本)9780769549446;9781467356596

Many of earlier attempts on mobile cloud integrations aim on increasing stroage capacity of mobile devices, rather than its computation capacity. Traditional distributed computing model relies on static and reliable network connections to share workload among collaborative devices. the researches on pervasive and ubiqutious computing community enable collaborative computation to be conducted on connected computers. Similarly, it is limited to predefined computation services including predefined services and computation platforms. the computation resources in modern computation environment are heterogeneous and evolve over time. the aforementioned computation models do not make good use of such resources. We design and implement an extended OpenCL framework to federate the computation resources of mobile devices with cloud service so as to share its workload and shorten application response times. A virtual cloud core is attached to OpenCL context and can unify the computation between mobile devices and cloud services. the framework does not blindly off-load computation but take into account network capacity and load on connected servers so as to effectively share the load. It also allows a computation request to be conducted either on CPU on mobile device or GPU on connected servers. Our experiments show that the response time can be improved for up to 25 times with modern wireless network connection.

关键词： performance distributed systems operating systems performance distributed systems operating systems

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