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Local labeling and resource allocation using preprocessing [chapter]

Hagit Attiya, Hadas Shachnai, Tami Tamir
1994 Lecture Notes in Computer Science  
This algorithm suggests e cient solution for the resource allocation problem.  ...  Speci cally, it is shown that a processor needs to know its (logn= loglog n)-neighborhood in order to pick a label. Finally, we derive some results for the resource allocation problem.  ...  Acknowledgments: We would like to thank Roy Meshulam for bringing Erd os' Theorem to our attention and for pointing out the existence of graphs with t(G) = (log n= log log n).  ... 
doi:10.1007/bfb0020434 fatcat:3ajdmaokxnacppimwc4fijrali

Local Labeling and Resource Allocation Using Preprocessing

Hagit Attiya, Hadas Shachnai, Tami Tamir
1999 SIAM journal on computing (Print)  
This algorithm suggests e cient solution for the resource allocation problem.  ...  Speci cally, it is shown that a processor needs to know its (logn= loglog n)-neighborhood in order to pick a label. Finally, we derive some results for the resource allocation problem.  ...  Acknowledgments: We would like to thank Roy Meshulam for bringing Erd os' Theorem to our attention and for pointing out the existence of graphs with t(G) = (log n= log log n).  ... 
doi:10.1137/s0097539795285643 fatcat:2los2a6oercixp2gcreze6z4re

Page 640 of Mathematical Reviews Vol. , Issue 2000a [page]

2000 Mathematical Reviews  
allocation using preprocessing.  ...  ., 1443, Springer, Berlin, 1998].” 2000a:68028 68Q10 68M10 68P05 68R10 68W10 Attiya, Hagit (IL-TECH-C; Haifa); Shachnai, Hadas (IL-TECH-C; Haifa); Tamir, Tami (IL-TECH-C; Haifa) Local labeling and resource  ... 

Page 3735 of Mathematical Reviews Vol. , Issue 96f [page]

1996 Mathematical Reviews  
resource allocation using preprocessing.  ...  Also, an approximation algorithm for the resource allocation problem is developed that requires Q(logn/loglogn) communication rounds and produces schedules with good bounds on the response time.  ... 

Bandwidth Allocation Mechanism based on Users' Web Usage Patterns for Campus Networks

Rolysent Paredes, Ariel M Sison, Ruji P Medina
2022 International Journal of Communication Networks and Information Security  
The limited bandwidth resource and continuous growth of users make the IT managers think on the strategies concerning bandwidth allocation.  ...  These are the preprocessing of the weblogs, class labeling of the dataset, computation of the feature subspaces, training for the development of the ANN for LDA/GSVD algorithm, visualization, and bandwidth  ...  Literature Review Allocating Bandwidth is concerned with a vital question on how much resource should be allotted to the network's user and flow, in such a way that there is a fair and efficient use of  ... 
doi:10.17762/ijcnis.v10i2.3400 fatcat:w4d47eomdfdkdcvdsfb4tlp3fe

Predictive System for Medical Emergency and Admissions Control

The ED overcrowding can be reduced by predicting the future of patient's admission using Machine Learning and making the resources available beforehand.  ...  This technique help us to learn, analyze and predicting the future results.  ...  Machine (Kernel linear).The method could be used to manage daily routines in EDs such as capacity planning and resource allocation.  ... 
doi:10.35940/ijitee.a1008.1191s19 fatcat:fl7ehxwwunctbmxyfap4bhvdjm

Efficient Hybrid framework for parallel Resource and task scheduling in the Map reduce programming

S. Hemalatha, S. Valarmathi
2016 2016 International Conference on Computer Communication and Informatics (ICCCI)  
The parallel scheduler is modeled for resource and task using particle swarm optimization to manage the assignments of map and reduce task.  ...  The Resource management is carried to manage a resource slot which reduces the consumption of energy when running the application achieves optimal schedules.  ...  The local node manager runs on slave node which is responsible for allocating and launching resources for each task.  ... 
doi:10.1109/iccci.2016.7479961 fatcat:zogbemfth5ejpcvznymb2brf7i

Adaptive Resource Allocation Neural Network-Based Mammogram Image Segmentation and Classification

P. Indra, G. Kavithaa
2022 Intelligent Automation and Soft Computing  
This work presents an efficient computer-assisted method for breast cancer classification of digital mammograms using Adaptive Resource Allocation Network (ARAN).  ...  At first, breast cancer images were taken as input, preprocessing step is utilized to eliminate the noise and unimportant data from the image utilizing a Butterworth filter.  ...  The centers and widths are relatively new using the Adaptive Resource Allocation Neural Network to creating a tight set and wellseparated clusters.  ... 
doi:10.32604/iasc.2022.025982 fatcat:eao74iernjai3otgxkdyvcdal4

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing [article]

Tianfeng Liu
2021 arXiv   pre-print
Finally, careful resource isolation reduces contention between different data preprocessing stages.  ...  By a co-design of caching policy and the order of sampling, we find a sweet spot of low overhead and high cache hit ratio.  ...  We further optimize the resource allocation of data preprocessing using profiling-based resource isolation.  ... 
arXiv:2112.08541v1 fatcat:kzel63n3ircqdpcuie2d4jd7y4

Efficient Virtual Resource Allocation in Mobile Edge Networks Based on Machine Learning

Li Li, Yifei Wei, Lianping Zhang, Xiaojun Wang
2020 Journal of Cyber Security  
We develop the caching and communicating resource virtualization in virtual layer, and formulate the dynamic resource allocation problem into a reinforcement learning model, with the proposed self-adaptive  ...  This paper investigates how to intelligently use the caching and computing capabilities of edge nodes/cloudlets through the use of artificial intelligence-based policies.  ...  For example, edge computing can significantly benefit IoTrelated services by using the computing ability of local equipment to preprocess data, while edge storage can reduce network latency for video steaming  ... 
doi:10.32604/jcs.2020.010764 fatcat:dtbfbf4r2zbcngo3eunbcs36iu

A streamable large-scale clinical EEG dataset for Deep Learning [article]

Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael Milham, Arnaud Delorme
2022 arXiv   pre-print
We demonstrate a use case integrating this framework, and discuss why providing such neuroinformatics infrastructure to the community is critical for future scientific discoveries.  ...  We are publishing the first large-scale clinical EEG dataset that simplifies data access and management for Deep Learning.  ...  Expanse supercomputer time was provided via XSEDE allocations and NSG (the Neuroscience Gateway).  ... 
arXiv:2203.02552v2 fatcat:grtkcg4hjne4tkvsso6qct4mzu

Qos online routing and mpls multilevel protection: a survey

J.L. Marzo, E. Calle, C. Scoglio, T. Anjali
2003 IEEE Communications Magazine  
In this article, an introduction of several label switch path backup types and their pros and cons are pointed out. The creation of an LSP involves a routing phase, which should include QoS aspects.  ...  Several ideas on how these actual technologies could be applied together are presented and compared.  ...  ACKNOWLEDGMENTS This was supported in part by the Spanish Government (CICYT: TEL99-0976) and NASA Goddard.  ... 
doi:10.1109/mcom.2003.1235604 fatcat:wwtxt6e6dbe4ddxyyth3gfxfe4

Improvement in the Efficiency of a Distributed Multi-Label Text Classification Algorithm Using Infrastructure and Task-Related Data

Martin Sarnovsky, Marek Olejnik
2019 Informatics  
Various paradigms and technologies are already widely used, but many of them are lacking when it comes to the optimization of resource usage.  ...  The solutions are experimentally evaluated in a scenario where a distributed tree-based multi-label classifier is built based on two standard text data collections.  ...  Authors in [29] solve the problem of task assignment and resource allocation in distributed systems using a genetic algorithm.  ... 
doi:10.3390/informatics6010012 fatcat:xfq6hiamdjca7eivhrkz2bqgtm

Engineering change protocols for behavioral and system synthesis

D. Kirovski, M. Drinic, M. Potkonjak
2005 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  
As a result, in both preand post-processing for EC, classical synthesis algorithms can be used to enable flexibility and perform the correction process.  ...  Initially, in a synthesis preprocessing step, the original design specification is augmented with additional design constraints which ensure flexibility for future correction.  ...  Allocation determines the type and quantity of resources such as storage units, functional units, and interconnect units used in a data path.  ... 
doi:10.1109/tcad.2005.850898 fatcat:lvugjgz3czclxjmhogjnf3covi

EMC: Emotion-aware mobile cloud computing in 5G

Min Chen, Yin Zhang, Yong Li, Shiwen Mao, Victor C.M. Leung
2015 IEEE Network  
Resource-Limited Feedback -Nowadays, the usage patterns of mobile phones such as call logs and SMS logs, as well as environmental data collection assisted by the smartphone's built-in sensors, have been  ...  However, the inference accuracy of emotion recognition is either limited by the small scale data collected by smartphones, or dependent on labor-intensive manual labeling processes, which limit the provisioning  ...  resource allocation under dynamic mobile network environments.  ... 
doi:10.1109/mnet.2015.7064900 fatcat:sxxr4kvodbf2vkitlyk57iwgne
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