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multi-level cache management of quantitative trading platform

APPLIED MATHEMATICS AND NONLINEAR SCIENCES 2021年第2期6卷 249-260页

作者： Lida, Zou Alterazi, Hassan A. Hdeib, Roaya Shandong Univ Finance & Econ Sch Comp Sci & Technol Jinan 250014 Peoples R China Univ Shandong Key Lab Machine Learning & Financial Data Min Jinan 250014 Peoples R China King Abdulaziz Univ Fac Comp & Informat Technol Informat Technol Dept Jeddah Saudi Arabia Appl Sci Univ Al Ekir Bahrain

With the rapid development of quantitative trading business in the field of investment, quantitative trading platform is becoming an important tool for numerous investing users to participate in quantitative trading. In using the platform, return time of backtesting historical data is a key factor that influences user experience. In the aspect of optimising data access time, cache management is a critical link Research work on cache management has achieved many referential results. However, quantitative trading platform has its special demands. (1) Data access of users has overlapping characteristics for time-series data. (2) This platform uses a wide variety of caching devices with heterogeneous performance. To address the above problems, a cache management approach adapting quantitative trading platform is proposed. It not only merges the overlapping data in the cache to save space but also places data into multi-level caching devices driven by user experience. Our extensive experiments demonstrate that the proposed approach could improve user experience up to >50% compared with the benchmark algorithms.

关键词： multi-level cache cache placement cached data merging user experience function quantitative trading platform

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A Data-sharing Aware and Scalable cache Miss Rates Model for multi-core Processors with multi-level cache Hierarchies 25

A Data-sharing Aware and Scalable Cache Miss Rates Model for...

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25th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS)

作者： Wang, Guangmin Ge, Jiancong Yan, Yunhao Ling, Ming Southeast Univ Natl ASIC Syst Engn Technol Res Ctr Nanjing Peoples R China

ISBN: (纸本)9781728125831

To mitigate the ever worsening "Power wall" and "Memory wall" problems, multi-core architectures with multi-level cache hierarchies have been widely used in modern processors. However, data sharing caused by the concurrent threads running on different cores and the "filter effects" of multi-level caches make the analytical cache modeling of such systems extremely complex. Prior models either ignore the data sharing or evaluate its effect with large simulation costs. In this paper, we propose a data-sharing aware and scalable analytical model for estimating the miss rates of the downstream shared cache in a multi-core environment. Our model uses probability derivations to quantify the data sharing effects based on the information of access address distributions for each core. Moreover, the proposed model can also be scalably integrated with upstream cache models without the time-consuming simulations of the cache architecture. We validate our analytical model against gem5 simulation results under 13 benchmarks from PARSEC benchmark suites. We compare the L2 cache miss rates with the results from gem5 under 8 hardware configurations including dual-core and quad-core architectures. The average absolute error is less than 2% for all configurations.

关键词： Analytical model multi-core processor Data sharing multi-level cache Reuse distance histogram

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A Real-Time Futures Information Processing Strategy Based on multi-level cache and multi-threading Cooperation

A Real-Time Futures Information Processing Strategy Based on...

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作者： Li-kai SU Center of Faculty Development & Educational Technology Guangdong University of Finances & Economics

Futures market data processing is a basic problem in the research of futures program trading. Because of the large amount of futures market data, there are many problems in the real-time data processing, such as high delay, low storage efficiency, poor stability and high input cost. In order to solve the above problems encountered in the development of futures program trading software, a non-blocking real-time market data processing strategy based on multi-level cache and multi-threaded collaboration is proposed and implemented, with the characteristic of low delay, high storage efficiency and low investment cost in market data processing, exhibits a high applicable value for the design of program trading software for small and medium-sized investment companies.

关键词： Futures program trading Real-time data processing multi-level cache multi-threaded collaboration

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A Data-Sharing Aware and Scalable cache Miss Rates Model for multi-Core Processors with multi-level cache Hierarchies

A Data-Sharing Aware and Scalable Cache Miss Rates Model for...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Guangmin Wang Jiancong Ge Yunhao Yan Ming Ling National ASIC System Engineering Technology Research Center Southeast University Nanjing China

ISBN: (纸本)9781728125848

关键词： Analytical model multi-core processor Data sharing multi-level cache Reuse distance histogram Data Sharing multi-core processors ANALYSIS MODELS Awareness cache memory miss rate absolute error Social Hierarchy cache miss

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multi-level cache System of Small Spatio-Temporal Data Files Based on Cloud Storage in Smart City

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Wuhan University Journal of Natural Sciences 2017年第5期22卷 387-394页

作者： XU Xiaolin HU Zhihua LIU Xiaojun College of Computer Science and Technology Hubei Normal University Computer School Huanggang Normal University

In this paper, we present a distributed multi-level cache system based on cloud storage, which is aimed at the low access efficiency of small spatio-temporal data files in information service system of Smart City. Taking classification attribute of small spatio-temporal data files in Smart City as the basis of cache content selection, the cache system adopts different cache pool management strategies in different levels of cache. The results of experiment in prototype system indicate that multi-level cache in this paper effectively increases the access bandwidth of small spatio-temporal files in Smart City and greatly improves service quality of multiple concurrent access in system.

关键词： Smart City spatio-temporal data multi-level cache small file

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Web Ontology based multi-level cache Simulator

Web Ontology based Multi-level CACHE Simulator

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International Conference on Communication, Computing and Digital Systems (C-CODE)

作者： Aftab, Fakhra Ismail, Muhammad Ali NED Univ Engn & Technol Dept Comp & Informat Syst Engn Karachi Pakistan

ISBN: (纸本)9781509044481

W3C Web Ontology Working Group developed Web Ontology language (OWL) for sharing and distributing semantically marked up ontologies for next generation Web. Simulation, on the other hand, is used to evaluate any proposed system under different configuration scenarios. In this paper, a new web ontology based multi-level cache Simulator is presented that is developed at NED University. It is a trace driven multi-level cache simulator implemented using modular approach. Its unique and significant feature is the Ontology Generation of cache model according to user's input that introduces the idea of online simulation, data portability and reusability. It is developed using Java Programming Language with OWL 2 API. The generated ontologies have been verified using standard reasoners.

关键词： Semantic Web Ontology Web Ontology language (OWL) Reasoning Simulation multi-level cache

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PAM: An Efficient Power-Aware multi-level cache Policy to Reduce Energy Consumption of Software Defined Network 1

PAM: An Efficient Power-Aware Multi-level Cache Policy to Re...

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International Conference on Industrial Networks and Intelligent systems(INISCOM)

作者： Meng, Xiaodong Zheng, Long Li, Li Li, Jie Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Key Lab Scalable Comp & Syst Shanghai 200240 Peoples R China

ISBN: (纸本)9781631900228

Nowadays energy consumption is one of the most significant aspects in Internet operations, where multi-level routing is widely used. In a typical hierarchical router cache structure, the upper level storage serves as a cache for the lower level, which forms a distributed multi-level cache system. In the past two decades, several classic LRU-based multi-level cache policies were proposed to improve the overall I/O performance of storage systems. However, few power-aware multi-level cache policies focus on the storage devices in the bottom level, which consume more than 27% energy of the whole system [20]. To address this problem, in this paper, we propose a novel Power-Aware multi-level cache (PAM) policy, which can reduce the energy consumption of storage devices with both high performance and high I/O bandwidth. In our PAM policy, a proper number of cold dirty blocks in the upper level cache are identified and selected to flush directly to the storage devices, which provides high probability to extend the duration time of data disks with standby status. Thus the energy consumption can be reduced. Simulation results show that, compared to the existing popular cache schemes such as PA-LRU, PB-LRU and Demote, PAM saves the power consumption by up to 15% under different I/O workloads, which improves the energy efficiency by up to 50.5%.

关键词： Storage System multi-level cache Energy Consumption I/O Performance Hint

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AMC: an adaptive multi-level cache algorithm in hybrid storage systems

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2015年第16期27卷 4230-4246页

作者： Cheng, Yuxia Chen, Wenzhi Wang, Zonghui Yu, Xinjie Xiang, Yang Zhejiang Univ Coll Comp Sci & Technol Hangzhou 310058 Zhejiang Peoples R China Deakin Univ Sch Informat Technol Burwood Vic 3125 Australia

Hybrid storage systems that consist of flash-based solid state drives (SSDs) and traditional disks are now widely used. In hybrid storage systems, there exists a two-level cache hierarchy that regard dynamic random access memory (DRAM) as the first level cache and SSD as the second level cache for disk storage. However, this two-level cache hierarchy typically uses independent cache replacement policies for each level, which makes cache resource management inefficient and reduces system performance. In this paper, we propose a novel adaptive multi-level cache (AMC) replacement algorithm in hybrid storage systems. The AMC algorithm adaptively adjusts cache blocks between DRAM and SSD cache levels using an integrated solution. AMC uses combined selective promote and demote operations to dynamically determine the level in which the blocks are to be cached. In this manner, the AMC algorithm achieves multi-level cache exclusiveness and makes cache resource management more efficient. By using real-life storage traces, our evaluation shows the proposed algorithm improves hybrid multi-level cache performance and also increases the SSD lifetime compared with traditional multi-level cache replacement algorithms. Copyright (c) 2015 John Wiley & Sons, Ltd.

关键词： hybrid storage solid state drive multi-level cache adaptive algorithm

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multi-level caching and data verification based on ethereum blockchain

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WIRELESS NETWORKS 2023年第2期29卷 713-727页

作者： Zhang, Qingzhe Li, Chunlin Du, Tianyu Luo, Youlong Wuhan Univ Technol Dept Comp Sci Wuhan 430063 Peoples R China Chongqing Jiaotong Univ Key Lab Hydraul & Waterway Engn Minist Educ Chongqing Peoples R China Chinese Acad Agr Sci Agr Informat Inst Key Lab Knowledge Min & Knowledge Serv Agr Conver Beijing 100081 Peoples R China

Ethereum realizes the application of programs on the blockchain through smart contracts and the peer-to-peer transmission of nodes through consensus mechanisms. In this paper, through smart contracts, cache nodes and three-level cache mechanism are proposed, so that users can efficiently obtain contents through three-level cache in a large-scale network environment to speed up response and reduce network burden;what's more, to ensure data integrity and accuracy in the untrusted public Ethereum blockchain, RSA&VT integrity verification methods are also introduced, and a large number of tree shapes are saved through IPFS under the chain structure to verify the content integrity, and only a small portion of the verification credentials and verification results are required to be transmitted in the network. Through experiments, it is proved that the request response time of the three-level caching mechanism is better than the ordinary FIFO cache;the performance of RSA&VT method is also better than the Signature scheme from bilinear maps.

关键词： Ethereum blockchain multi-level cache Data verification

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Hybrid multi-level cache Management Policy

Hybrid Multi-level Cache Management Policy

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4th International Conference on Communication Systems and Network Technologies (CSNT)

作者： Chikhale, Krupal Shrawankar, Urmila GH Raisoni Coll Engn Nagpur MS India

ISBN: (纸本)9781479930708

Recently, multi-level cache became more popular due to its better performance than single level cache. It is very useful in distributed and parallel systems where number of applications is running at a time. The data required by application program is easily available in the cache due to larger size of the cache. Until now, many multi-level cache management policies LRU-K [15], PROMOTE [1], DEMOTE [5] has been developed but still there is performance issue. The main difficulty of these policies is selecting a victim. In this paper, a new policy is suggested which uses compressed caching and selects a victim depending upon three factors. First is how many times the promotion or the demotion of the cache block has done, second is size of the cache block to be replaced, and the third is recency of the block in the cache memory[1]. This policy is expected to exhibit better hit ratio than all the previously existing multi-level cache management policies.

关键词： multi-level cache hints recency demote promote cache performance

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