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An efficient Intelligent Cache Replacement Policy Suitable for PACS

Yinyin Wang, School of Computer Science and Engineering, Nanjing University of Science and Technology, China, Yuwang Yang, Qingguang Wang
2021 International Journal of Machine Learning and Computing  
An efficient intelligent cache replacement policy suitable for picture archiving and communication systems (PACS) was proposed in this work.  ...  By combining the Support vector machine (SVM) with the classic least recently used (LRU) cache replacement policy, we have created a new intelligent cache replacement policy called SVM-LRU.  ...  into the target database, which lays the basis for later data analysis and data mining [16] , [17] .  ... 
doi:10.18178/ijmlc.2021.11.3.1043 fatcat:4442byh4lbctpagvvfsml3heg4

Smart Caching Based on Mobile Agent of Power WebGIS Platform

Xiaohui Wang, Kehe Wu, Fei Chen
2013 The Scientific World Journal  
mobile agent, and cache data model.  ...  The experimental results showed that, with the same hardware environment, the response time of WebGIS with and without caching model increased as data capacity growing, while the larger the data was, the  ...  for Level cache, namely, the client cache. (6) Cache Mode (CM): CM = {cm 1 and cm 2 , cubic CM}, where cm 1 stand for memory cache whose cache efficiency is high and is difficult to share and maintain;  ... 
doi:10.1155/2013/757182 pmid:24288504 pmcid:PMC3830887 fatcat:7xa4r67oancgblo4gsevievsg4

Deploying in-network caches in support of distributed scientific data sharing [article]

Alex Sim, Ezra Kissel, Chin Guok
2022 arXiv   pre-print
The importance of intelligent data placement, management, and analysis has become apparent as scientific data volumes across the network continue to increase.  ...  We include thoughts on possible future deployment models involving caching node installations at the edge along with methods to scale our approach.  ...  The system has been used by the CMS collaboration for real CMS data analysis as part of the Caltech and UCSD Tier-2 center production infrastructure.  ... 
arXiv:2203.06843v1 fatcat:lwk26kboezgyzlqfp762ui43ou

Smart caching at CMS: applying AI to XCache edge services

CMS Collaboration
2019 Zenodo  
In this talk we propose to develop a flexible and automated AI environment for smart management of the content of clustered cache systems, to optimize hardware for the service and operations for maintenance  ...  adaptation of QoS, intelligent data deployment based on cost driven metrics.  ...  all CMS analysis workflow data @ CERN MONIT hdfs a.  ... 
doi:10.5281/zenodo.3598799 fatcat:g3j6k63dwrad5jnbmnob3xj5bi

The CMS Data Management System

M Giffels, Y Guo, V Kuznetsov, N Magini, T Wildish
2014 Journal of Physics, Conference Series  
The data management elements in CMS are scalable, modular, and designed to work together.  ...  The data management elements in CMS are scalable, modular, and designed to work together.  ...  Therefore a further attempt was made to build native support for keyword queries on top of DAS-QL, see [21] . DAS operates as an intelligent cache in front of CMS data-services.  ... 
doi:10.1088/1742-6596/513/4/042052 fatcat:6ja6j6b5ovhnzflpi2qogkvqy4

Data Management of On-Line Partial Discharge Monitoring Using Wireless Sensor Nodes Integrated with a Multi-Agent System

P. C. Baker, S. D. J. McArthur, M. Judd
2007 2007 International Conference on Intelligent Systems Applications to Power Systems  
This paper presents an approach to the management of partial discharge data through the use of embedded monitoring techniques running on wireless sensor nodes.  ...  This method is illustrated by a case study on partial discharge monitoring data from an ageing HVDC reactor.  ...  To date, the state-ofthe-art in monitoring systems is able to manage data at the substation level, but there have been no publications regarding the management of this data at the device level.  ... 
doi:10.1109/isap.2007.4441665 fatcat:xykt5fm64nag3c765no562c4em

CMS Workflow Execution Using Intelligent Job Scheduling and Data Access Strategies

Khawar Hasham, Antonio Delgado Peris, Ashiq Anjum, Dave Evans, Stephen Gowdy, José M. Hernandez, Eduardo Huedo, Dirk Hufnagel, Frank van Lingen, Richard McClatchey, Simon Metson
2011 IEEE Transactions on Nuclear Science  
In this paper, we propose a pilot job based infrastructure that has intelligent data reuse and job execution strategies to minimize the scheduling, queuing, execution and data access latencies.  ...  The turnaround times of these workflows are often affected by various latencies such as the resource discovery, scheduling and data access latencies for the individual workflow processes or actors.  ...  Examples of such an analysis include the CMS Tier0 workflows [2] that process the CMS data at CERN.  ... 
doi:10.1109/tns.2011.2146276 fatcat:sax2bk5jabh77f2bbug73paw34

LR-LRU: A PACS-Oriented Intelligent Cache Replacement Policy

Yinyin Wang, Yuwang Yang, Chen Han, Lei Ye, Yaqi Ke, Qingguang Wang
2019 IEEE Access  
An intelligent cache replacement policy suitable for picture archiving and communication systems (PACS) was proposed in this work.  ...  By combining the logistic regression (LR) algorithm with the classic least recently used (LRU) cache replacement policy, we have created a new intelligent cache replacement policy called LR-LRU.  ...  IR = (PM-CM) CM × 100% (14) As a whole, the LR-LRU policy is superior to all other policies in terms of BHR, at all cache sizes.  ... 
doi:10.1109/access.2019.2913961 fatcat:fiklhu2qlze6djjfqj7oltb6yq

Guest Editors' Introduction: Special Issue on Storage for the Big Data Era

Vlado Stankovski, Radu Prodan
2018 Journal of Grid Computing  
Their study entitled "Dataset Popularity Prediction for Caching of Compact Muon Solenoid (CMS) Big Data" is centered around the data collections, simulation and analysis activities of the CMS experiment  ...  Introduction Following decades of progress in computer science, we are at the beginning of a new Big Data Era that poses significant requirements for the management and storage of data.  ... 
doi:10.1007/s10723-018-9439-1 fatcat:gqvgzigve5g2hn7pqpfxvhlqsu

SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis [article]

Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2021 arXiv   pre-print
In this paper, we design a holistic semantics-aware optimization for data-intensive applications using hybrid program analysis} (SODA) to assist programmers to tune performance issues.  ...  management, operation reordering, and element pruning, respectively.  ...  Therefore, an intelligent cache management mechanism using hybrid program analysis is needed to manage memory for efficiency.  ... 
arXiv:2107.11536v1 fatcat:uldjplqznnbd5a76aw6miai634

Exploiting Apache Spark platform for CMS computing analytics [article]

Marco Meoni, Valentin Kuznetsov, Luca Menichetti, Justinas Rumševičius, Tommaso Boccali, Daniele Bonacorsi
2017 arXiv   pre-print
Here we present evaluation of Apache Spark platform for CMS needs.  ...  We discuss two main use-cases CMS analytics and ML studies where efficient process billions of records stored on HDFS plays an important role.  ...  , in visualization dashboards; • Intelligent data placement based on modeling (via ML) and predicting popular CMS datasets to be used in analysis jobs.  ... 
arXiv:1711.00552v1 fatcat:3nsglxkl2zc2dfvlwhab73prci

SONAR: Towards User-centric Social Network Analysis and Visualization

Christian Hutter, Bjorn-Oliver Hartmann, Klemens Bo;hm, Till Heistermann, Kevin-Simon Kohlmeyer, Reno Reckling, Martin Reiche, David Soria Parra
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
In this paper, we introduce SONAR, an open source Web application for user-centric SNA.  ...  Existing tools for SNA do not allow a user-centric analysis of the social neighborhood, i.e., the subgraph of the user's friends and friends of a friend.  ...  Further, users have individual information needs and want to specify which CM are used for the analysis.  ... 
doi:10.1109/wi-iat.2010.67 dblp:conf/webi/HutterHBHKRRP10 fatcat:u5rwfr7r4jd3ba4qxf326pvo3e

QoE-Driven DASH Video Caching and Adaptation at 5G Mobile Edge

Chang Ge, Ning Wang, Severin Skillman, Gerry Foster, Yue Cao
2016 Proceedings of the 2016 conference on 3rd ACM Conference on Information-Centric Networking - ACM-ICN '16  
Towards this end, we introduce a two-dimensional user Quality-of-Experience (QoE)-driven algorithm for making caching / replacement decisions based on both content context (e.g., segment popularity) and  ...  In order to support such MECassisted DASH video adaptation, the MEC server needs to locally cache the most popular content segments at the qualities that can be supported by the current network throughput  ...  The authors would also like to acknowledge the support of the University of Surrey's 5G Innovation Centre (5GIC) ( members for this work.  ... 
doi:10.1145/2984356.2988522 dblp:conf/acmicn/0001WSFC16 fatcat:reqlrlnoxnc2ficxvqtllnu6za

Management of scalable video streaming in information centric networking

Saeed Ullah, Kyi Thar, Choong Seon Hong
2016 Multimedia tools and applications  
In this paper, we are proposing a mechanism for cache management and request forwarding policies for scalable video streaming in ICN.  ...  By managing the cache space intelligently we can improve network's performance and increase users' Quality of Experience (QoE).  ...  If RT T i is in γ k range router set the Cache Marker (CM) value in P I T to 1. The Data chunk will be considered for caching in only those routers where the CM column's value in P I T is set to 1.  ... 
doi:10.1007/s11042-016-4008-8 fatcat:g3zejerxajgebgvwkgwimzb4mq

Advancements in data management services for distributed e-infrastructures: the eXtreme-DataCloud project

Daniele Cesini, Giacinto Donvito, Alessandro Costantini, Fernando Aguilar Gomez, Doina Cristina Duma, Patrick Fuhrmann, Lukasz Dutka, Matthew Viljolen, Serena Battaglia, Vincent Poireau, Luca Dell'Agnello, Oliver Keeble (+8 others)
2019 EPJ Web of Conferences  
Lasting for 27 months and combining the expertise of eight large European research organisations, the project aims at developing scalable technologies for federating storage resources and managing data  ...  XDC is aimed at implementing data management scalable services, combining already established data management and orchestration tools, to address the following high level topics: policy driven data management  ...  As the European XFEL started in Sep 2017, this process is not yet in place, so the XDC work will be an integral part of setting up the data analysis chain for the collaboration with the Moscow Kurchatov  ... 
doi:10.1051/epjconf/201921404044 fatcat:pulawhvhwjbzxl7wibyawgrzlm
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