[PDF] Top 20 Efficient Stream Analysis and its Application to Big Data Processing
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Efficient Stream Analysis and its Application to Big Data Processing
... applied to any other data issued from distributed applications such as social networks or sensor ...time analysis of large streams with small capacities in terms of storage and ... Voir le document complet
147
DABS-Storm: A Data-Aware Approach for Elastic Stream Processing
... like its predecessor Autoscale [24], Autoscale+ anticipates potential congestion of operators through stream and operator monitoring 3 ...according to time series analysis ...the ... Voir le document complet
39
NAMB: A Quick and Flexible Stream Processing Application Prototype Generator
... of Big Data is nowadays established, both in industry and research fields, especially stream processing for its capability to analyze continuous data streams ... Voir le document complet
11
Time warp invariant dictionary learning for time series clustering: application to music data stream analysis
... access to the music content of nearly 40 million licensed tracks. deezer data, for which we have no ground truth, give the description of streaming data of music albums, randomly selected among 10 5 ... Voir le document complet
17
Dual-Paradigm Stream Processing
... but to sacrifice either latency or throughput, or use two individual frameworks with considerable capital and operational ...handle stream data volatility, e.g., data burst ...a ... Voir le document complet
11
On the Cost of Acking in Data Stream Processing Systems
... ackers, to manage the status of the tuples, and designed to be lightweight ...tree and the ackers are able to update step-by-step the completion status of each tuple running in the ... Voir le document complet
11
Efficient Key Grouping for Near-Optimal Load Balancing in Stream Processing Systems
... by stream processing frame- works to simplify the development of parallel stateful opera- ...a stream of tuples is partitioned in several disjoint sub-streams depending on the values con- ... Voir le document complet
14
End-to-end Energy Models for Edge Cloud-based IoT Platforms: Application to Data Stream Analysis in IoT
... generating its own energy and storing the surplus energy into batteries ...Due to its limited computing resources, the edge Cloud cannot support huge amounts of processing that needs ... Voir le document complet
22
Data Pre-Processing and Intelligent Data Analysis
... 3.1.2 Data Ordering The most common forms of data ordering are in applications where data are stored in relational or network database management ...is to organize data in proper ... Voir le document complet
29
KerA : A Unified Ingestion and Storage System for Scalable Big Data Processing
... on processing lots of data in a JVM means storing them as objects on the heap, this approach has a few notable drawbacks, as also mentioned in ...order to avoid use-case specific tuning of the system ... Voir le document complet
163
When FPGA-Accelerator Meets Stream Data Processing in the Edge
... node and other Edge servers equipped with several FPGA cards play the role of worker ...FPGAs and uses an Accelerator-prioritized Scheduler to perform task ...listening to the job assignments ... Voir le document complet
13
Convergence of a normed eigenvector stochastic approximation process and application to online principal component analysis of a data stream
... Keywords: Big Data, Data Stream, Online Estimation, Principal Component Analysis, Stochastic Ap- ...Introduction Data stream factorial analysis is de…ned as the ... Voir le document complet
20
Secure Processing of Stream Cipher Encrypted Data Issued from IOT: Application to a Connected Knee Prosthesis
... party to process stream ciphered data. Its originality stands on a cryptosystem conversion (CrC) and a data pack- ing ...encrypted data into homomorphic encrypted ... Voir le document complet
5
Efficient Big Data Processing on Large-Scale Shared Platforms ˸ managing I/Os and Failure
... of data movements for the application performance, data locality has become a major focus in Big Data ...in Big Data systems are mainly accommodated with locality-oriented ... Voir le document complet
130
TurboSream: Towards Low-Latency Data Stream Processing
... computation, data stream processing, inter-operator latency, IPC, operator placement ...scientific and industrial applications for doing real-time analysis on high throughput ... Voir le document complet
12
Big data analysis in the field of transportation
... reader to [Fraley and Raftery, 2002; Bouveyron and Brunet-Saumard, 2014; Mc- Nicholas, 2016a,b; Grün, 2018] for recent surveys on existing approaches (see also [McLachlan and Peel, 2004; ... Voir le document complet
147
Group Mutual Exclusion to Scale Distributed Stream Processing Pipelines
... referred to as the con- genial talking philosophers (CTP) problem [20], [22], ...process) and other classical concurrency problems such as readers/writers ...algorithms to solve the prob- lem ... Voir le document complet
11
Adaptive Air Traffic with Big Data Analysis
... plan and don’t copy another ...order to improve aided-decision for controllers and ...the big-data element of our research by presenting what kind and volume of data we ... Voir le document complet
8
Local binary pattern and its variants: application to face analysis
... (2) To take the variability of the performance into account, this procedure is re- peated 100 times on the JAFFE database and 30 times on the YaleB and ORL ...1 and then R = 2 are tested. The ... Voir le document complet
10
Adaptive Air Traffic with Big Data Analysis
... plan and don’t copy another ...order to improve aided-decision for controllers and ...the big-data element of our research by presenting what kind and volume of data we ... Voir le document complet
9
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