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3rd International symposium on Advances in Informatics, Electronics and Education, ISAIEE 2022

作者： Shen, Jiali Tianjin University of Technology Tianjin China

ISBN: (纸本)9781665463577

In the current era of big data, the rapid development of network technology and hardware equipment leads to exponential data growth. However, under the challenge of massive data, there are still some problems in the field of data mining, such as low efficiency of algorithm execution, insufficient parallel optimization of algorithms and poor usability of data mining platforms. This paper focuses on parallel data mining algorithms and parallel data mining tools. Based on Spark as a programming model and processing engine, a distributed parallel data mining scheduling framework is designed and implemented based on Hadoop and Spark, which can meet the needs of users for mining and analyzing large data sets. The scheduling system implements common data mining algorithms such as classification, prediction, clustering and data preprocessing, and can complete data mining modeling by visual drag and drop algorithm program. © 2022 ieee.

关键词： Big data

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3rd ieee International Workshop on Extreme-Scale Storage and Analysis (ESSA 2022)

3rd IEEE International Workshop on Extreme-Scale Storage and...

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ieee International symposium on parallel and distributed processing Workshops and Phd Forum (IpdpsW)

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3rd ieee International Workshop on Extreme-Scale Storage and Analysis (ESSA 2022)

Proceedings - 2022 IEEE 36th International Parallel and Dist...

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Proceedings - 2022 ieee 36th International parallel and distributed processing symposium Workshops, IpdpsW 2022 2022年 1098-1099页

作者： Tatebe, Osamu Antoniu, Gabriel University of Tsukuba Japan Inria France

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Message from the PDSEC-22 Workshop Chairs

Message from the PDSEC-22 Workshop Chairs

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ieee International symposium on parallel and distributed processing Workshops and Phd Forum (IpdpsW)

作者： Sabine Roller Peter Strazdins Raphaë l Couturier Neda Ebrahimi Pour Suzanne Michelle Shontz Thomas Rauber Gudula Runger Laurence T. Yang German Aerospace Center Dresden Germany The Australian National University Australia University Bourgogne Franche-Comte France University of Kansas USA University of Bayreuth Germany Chemnitz University of Technology Germany St. Francis Xavier University Canada

ISBN: (数字)9781665497473

ISBN: (纸本)9781665497480

Welcome to the 23nd ieee International Workshop on parallel and distributed Scientific and Engineering Computing (PDSEC-22), held virtually on June 3rd, 2022 in Lyon, France, in conjunction with the 36th ieee Inter-national parallel and distributed processing symposium (Ipdps 2022). This year, the workshop as Ipdps took place virtually due to the covid-19 pandemic.

关键词： COVID-19 distributed processing Pandemics Conferences Engineering computing

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The 3rd Workshop on Scalable Networks for Advanced Computing Systems (SNACS2021)

2021 IEEE International Parallel and Distributed Processing ...

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2021 ieee International parallel and distributed processing symposium Workshops, IpdpsW 2021 - In conjunction with ieee Ipdps 2021 2021年 826-826页

作者： Groves, Taylor Dosanjh, Matthew Grant, Ryan Lawrence Berkeley National Laboratory United States Sandia National Laboratories

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Two Elementary Instructions make Compare-and-Swap 33

Two Elementary Instructions make Compare-and-Swap

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33rd ieee International parallel and distributed processing symposium (Ipdps)

作者： Khanchandani, Pankaj Wattenhofer, Roger Swiss Fed Inst Technol Distributed Comp Grp Zurich Switzerland Swiss Fed Inst Technol Informat Technol & Elect Engn Dept Zurich Switzerland

ISBN: (纸本)9781728112473;9781728112466

Herlihy showed that multiprocessors must support advanced atomic objects, such as compare and-swap, to be able to solve any arbitrary synchronization task among any number of processes (Herlihy, 1991). Elementary objects such as read-write registers and fetch-and-add are fundamentally limited to at most two processes with respect to solving an arbitrary synchronization task. Later, it was also shown that simulating an advanced atomic object using elementary objects is impossible. However, Ellen et al. observed that the above impossibility assumes computation by synchronization objects instead of synchronization instructions applied on memory locations, which is how the actual multiprocessors compute (Ellen et al., 2016). Building on that observation, we show that two elementary instructions, such as max-write and half-max, can be much better than the advanced compare-and-swap instruction. Concretely, we show the following. 1. Half-max and max-write instructions are elementary, i.e., have consensus number one. 2. Half-max and max-write instructions can simulate compare-and-swap instruction in O(1) steps. 3. For a pipelined butterfly interconnect, concurrent throughput of half-max and max-write instructions exceeds the concurrent throughput of compare-and-swap by a factor n - the number of processes. 4. The family of instructions max-write-or-circle dot are also elementary, where circle dot is a commutative and an associative operation. 5. It takes Omega(log n) steps to simulate max-write-or-add using compare-and-swap but O(1) steps to simulate compare-and-swap using max-write-or-add and half-max. (C) 2020 Elsevier Inc. All rights reserved.

关键词： Wait-free synchronization Compare-and-swap Consensus numbers Half-max Max-write

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Two Elementary Instructions make Compare-and-Swap

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JOURNAL OF parallel AND distributed COMPUTING 2020年 145卷 176-187页

作者： Khanchandani, Pankaj Wattenhofer, Roger Swiss Fed Inst Technol Distributed Comp Grp Zurich Switzerland Swiss Fed Inst Technol Informat Technol & Elect Engn Dept Zurich Switzerland

关键词： Wait-free synchronization Compare-and-swap Consensus numbers Half-max Max-write

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Scheduling Bag-of-Task-Chains in distributed Systems 14

Scheduling Bag-of-Task-Chains in Distributed Systems

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14th ieee International symposium on Autonomous Decentralized Systems (ISADS) / 3rd International Workshop on Service Assurance in System Wide Information Management (SASWIM)

作者： Stavrinides, Georgios L. Karatza, Helen D. Aristotle Univ Thessaloniki Dept Informat Thessaloniki 54124 Greece

ISBN: (纸本)9781728116723

distributed resources required for processing complex parallel applications are becoming larger in scale day-by-day. They need to be used efficiently in order to provide Quality of Service (QoS). Therefore, resource allocation and scheduling are of paramount importance. In this paper we investigate issues involved with the scheduling of parallel jobs that are bag-of-task-chains in distributed systems. Two task-chain scheduling techniques in two different cases of resource allocation are studied. The performance of the task-chain scheduling algorithms is evaluated via simulation, under different cases of system workload. The experimental results show that the performance of the task-chain scheduling strategies depends on the employed resource allocation techniques.

关键词： bag-of-task-chains scheduling simulation distributed systems performance

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Efficient CQI Estimation for Synchronized ABS Configuration in HetNet

Efficient CQI Estimation for Synchronized ABS Configuration ...

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ieee International symposium on parallel and distributed processing with Applications and ieee International Conference on Ubiquitous Computing and Communications (ISPA/IUCC)

作者： Yupeng Wang Junyan Kang Lening Wang College of Electronic and Information Engineering Shenyang Aerospace University Shenyang China FLIGHT INSPECTION CENTER OF CAAC Beijing China

ISBN: (纸本)9781728152103

In Heterogeneous Networks (HetNets), User Equipments(UEs) in pico cells may suffer from significant co-channel interference from macro stations. The 3rd Generation Partnership Project (3GPP) organization has proposed the concept of Almost Blank Subframe (ABS) so as to reduce the interference of macro stations to pico UEs. Addressing the problem that the introduction of ABS makes it impossible for pico UEs to correctly obtain channel conditions on different subframes, this paper proposes an efficient scheme based on a variable parameter Lambda report and Lambda estimation to derive Channel Quality Indicator (CQI). The method is applicable to the ABS and non-Almost Blank Subframe (non-ABS). It compensates the non-restricted measured CQI with different offsets, based on ABS density and ratio of interference levels from macro cells and pico cells to obtain CQI on different subframes. Simulation and analytical results show that our proposed scheme can achieve approximately 59% gain over the 3GPP system and reduce report overhead significantly without inducing penalties on throughput.

关键词： 3G mobile communication cochannel interference picocellular radio wireless channels Cochannel interference wireless channels DDX41 gene Antilock Braking Systems ABS resins door bucks 3G mobile communication picocell macro commands order of interference 3GPP

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distributed Resource Sharing in Fog-assisted Big Data Streaming

Distributed Resource Sharing in Fog-assisted Big Data Stream...

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ieee International Conference on Communications (ICC) / Wireless Communications symposium / 3rd Workshop on Optical Wireless Communications (OWC)

作者： Yin, Bo Shen, Wenlong Cheng, Yu Cai, Lin X. Li, Qing IIT Dept Elect & Comp Engn Chicago IL 60616 USA Symantec Corp Mountain View CA USA

ISBN: (纸本)9781467389990

Fog computing is a promising architectural pattern to reduce the amount of data that is transferred to the cloud for processing and analysis. In this paper, we study fog-assisted data streaming scenario in which fog nodes at the network edge share their spare resources to help pre-process raw data of applications hosted in the cloud. A distributed resource sharing scheme is presented where the software defined network (SDN) controller dynamically adjusts the volume of application data that will be directed to fog nodes for pre-processing. The SDN controller makes decisions by coordinating fog nodes and cloud platform to collaboratively solve a social welfare maximization problem. Based on a hybrid alternating direction method of multipliers (H-ADMM) algorithm, computation burden for solving the optimization problem is fully distributed to fog nodes, cloud platform and SDN controller, where local variables of fog nodes are updated in parallel. With proper design of message exchange pattern, the communication overhead of the coordination to SDN controller grows smoothly with increasing number of participating fog nodes.

关键词： Resource management Cloud computing Big Data Convex functions Algorithm design and analysis Optimization Silicon

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