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Evaluation of an interactive-batch system network

W. S. Hobgood
1972 IBM Systems Journal  
Evaluation of an interactive-batch system network network linkages by W. S.  ...  Another type of fault— though not strictly an I/O error —occurs when the batch system interrupts the transmission of a data set from the interactive to the batch system.  ... 
doi:10.1147/sj.111.0002 fatcat:c6dejt2sfndpxg2quu4yki7zwi

Page 32 of Computer Performance Vol. 3, Issue 1 [page]

1982 Computer Performance  
Multiprogrammed, batch-oriented and/or interactive systems are evaluated.  ...  The present paper extends the earlier optimization model of a batch-oriented system?! to the case of an interactive computer system.  ... 

Performance model of interactive video-on-demand systems

V.O.K. Li, Wanjiun Liao, Xiaoxin Qiu, E.W.M. Wong
1996 IEEE Journal on Selected Areas in Communications  
An interactive video-on-demand (VoD) system allows users to access video services, such as movies, electronic encyclopedia, interactive games, and educational videos from video servers on a broadband network  ...  In particular, a user activity model is developed to describe the usage of system resources, i.e., network bandwidth and video server usage, by a user as it interacts with the service.  ...  Queueing model of an interactive VoD system.  ... 
doi:10.1109/49.508281 fatcat:ipctbf63m5bqbjg6vcn3jnt56m

Click-Through Rate Prediction Using Graph Neural Networks and Online Learning [article]

Farzaneh Rajabi, Jack Siyuan He
2021 arXiv   pre-print
In this project, we are interested in building a CTR predictor using Graph Neural Networks complemented by an online learning algorithm that models such dynamic interactions.  ...  By framing the problem as a binary classification task, we have evaluated this system both on the offline models (GNN, Deep Factorization Machines) with test-AUC of 0.7417 and on the online learning model  ...  In order to de-bias the system towards the low-or high-order feature interactions, DeepFM proposes an end-to-end learning model that emphasizes on both low-and high order feature interactions.  ... 
arXiv:2105.03811v1 fatcat:2hj4rttexbaqhh76m5qbkqao4u

Next Generation Repositories: Scaling Up Repositories To A Global Knowledge Commons

Shearer, Wilcox
2018 Zenodo  
The Next Generation Repositories offers an alternative vision, "to position repositories as the foundation for a distributed, globally networked infrastructure for scholarly communication, on top of which  ...  An important component of this vision is that repositories will provide access to a wide variety of research outputs, creating the conditions whereby a greater diversity of contributions to the scholarly  ...  Research workflows and lifecycle Annotation Commenting Social interaction Research evaluation Peer review  ... 
doi:10.5281/zenodo.1298416 fatcat:bxdn3vpnarg2xdeygfgzvbb6om

Extensions to LwM2M for Intermittent Connectivity and Improved Efficiency

Abdulkadir Karaagac, Matthias VanEeghem, Jen Rossev, Bart Moons, Eli DePoorter, Jeroen Hoebeke
2018 2018 IEEE Conference on Standards for Communications and Networking (CSCN)  
These efforts resulted in several networking standards and protocols which have led to the emergence of the Internet of Things (IoT).  ...  The Notify Object enables the creation of reverse interaction models and Readyto-Receive (RTR) functionality, which allows LwM2M clients to send periodic updates of resources without any need for a request  ...  ACKNOWLEDGMENT Part of this research was funded by the Flemish FWO SBO S004017N IDEAL-IoT (Intelligent DEnse And Longe range IoT networks) project, and by the ICON project MAGICIaN.  ... 
doi:10.1109/cscn.2018.8581821 dblp:conf/cscn/KaraagacVRMPH18 fatcat:qnq3pl6olnhtfcuya3hqnsgd24

Speech Driven Backchannel Generation using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction [article]

Nusrah Hussain, Engin Erzin, T. Metin Sezgin, Yucel Yemez
2019 arXiv   pre-print
We suggest the use of human-to-human dyadic interaction datasets as a batch of trajectories to train an agent for engaging interactions.  ...  Therefore, we introduce deep Q-network (DQN) in a batch reinforcement learning framework, where an optimal policy is learned from a batch data collected using a more controlled policy.  ...  An immediate extension of this work is to perform subjective evaluations with human participants.  ... 
arXiv:1908.01618v1 fatcat:tcwairlrvjc6zm72cr4vuqxnei

Multicast Video-on-Demand services

Huadong Ma, Kang G. Shin
2002 Computer communication review  
Interactivity: The system should provide the clients full control of the requested video by using VCR-like interactive functions.  ...  However, there are many problems to overcome before development of multicast VoD systems. This paper critically evaluates and discusses the recent progress in developing multicast VoD systems.  ...  Evaluation of multicast VoD systems By batching multiple requests and serving them with a single multicast, the system capability for handling a large number of requests can be greatly improved at the  ... 
doi:10.1145/510726.510729 fatcat:6rqftq5zg5aytg6byeayvwssju

Page 158 of Journal of Research and Practice in Information Technology Vol. 13, Issue 4 [page]

1981 Journal of Research and Practice in Information Technology  
INQUIRE 10F MANAGE/QUERY MINES MARK IV NIPS/FFS NUL QUERY/3000 QUERY-BY-EX AMPLE RAMIS RENDEZVOUS RIQS SEQUEL SQUARE SQUIRAL SYSTEM 2000 interactive interactive both both both batch only interactive both  ...  CARTER, A.J.T. (1975): Evaluation of data base management soft- ware, /nfotech state of the art report on Data Base Systems, Infotech, Maidenhead, England.  ... 

Using Movie Genres in Neural Network Based Collaborative Filtering Movie Recommendation System to Reduce Cold Start Problem

Aaron Christian Hansel, Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, 11480, Antoni Wibowo
2022 International Journal of Emerging Technology and Advanced Engineering  
This research proposes a modified version of the Neural Collaborative Filtering model that has revolutionized collaborative filtering recommendation system with its implementation of neural network in  ...  Keywords— movie recommendation system, cold start problem, collaborative filtering, NCFM, neural network based recommendation system  ...  INTRODUCTION Recommendation system has become an important and significant part of any businesses/services that has direct interaction with their consumers.  ... 
doi:10.46338/ijetae0322_08 fatcat:doq43m5o75ar3gqfsyzr7ddria

Resource allocation for remote desktop sessions in Utility Grids

Vanish Talwar, Bikash Agarwalla, Sujoy Basu, Raj Kumar, Klara Nahrstedt
2006 Concurrency and Computation  
The proposed service is built in the context of interactive remote desktop session workloads and takes application performance QoS models into consideration.  ...  System management services deployed in the middleware are a key to enabling this vision. Utility Grids provide a challenge in terms of scale, dynamism, and heterogeneity of resources and workloads.  ...  Experiments and Results We have performed experiments to evaluate the trade off of throughput and wait time for a mixed workload consisting of batch and interactive session workload.  ... 
doi:10.1002/cpe.973 fatcat:hit7a2cikfadjj2rr3qmulnrym

Efficient sessions

K.C. Sivaramakrishnan, Mohammad Qudeisat, Lukasz Ziarek, Karthik Nagaraj, Patrick Eugster
2013 Science of Computer Programming  
By capturing distributed interaction as a series of typed interactions, MPSTs allow for the static verification of compliance of corresponding distributed object programs.  ...  Detailed experimental evaluation of our distributed runtime infrastructure in both Emulab and Amazon's Elastic Compute Cloud (EC2) illustrate benefits of our composable enhancement strategies.  ...  We would also like to thank the authors of SessionJ [13] for making their software publicly available. SessionJ served as the basis of our compiler and runtime system.  ... 
doi:10.1016/j.scico.2012.03.004 fatcat:thjbpxhmkvhrrex5auryrq552i

From perception to action using observed actions to learn gestures

Wolfgang Fuhl
2020 User modeling and user-adapted interaction  
The user can either train the system directly by showing gestures examples and perform an action, or let the system learn by itself. To evaluate the system, five experiments are carried out.  ...  Pervasive computing environments deliver a multitude of possibilities for humancomputer interactions.  ...  Acknowledgements Work of the authors is supported by the Institutional Strategy of the University of Tübingen (Deutsche Forschungsgemeinschaft, ZUK 63).  ... 
doi:10.1007/s11257-020-09275-3 fatcat:usf23v6igbbzhedryn4myrdygy

Speech Driven Backchannel Generation Using Deep Q-Network for Enhancing Engagement in Human-Robot Interaction

Nusrah Hussain, Engin Erzin, T. Metin Sezgin, Yücel Yemez
2019 Interspeech 2019  
We suggest the use of humanto-human dyadic interaction datasets as a batch of trajectories to train an agent for engaging interactions.  ...  Therefore, we introduce deep Qnetwork (DQN) in a batch reinforcement learning framework, where an optimal policy is learned from a batch data collected using a more controlled policy.  ...  An immediate extension of this work is to perform subjective evaluations with human participants.  ... 
doi:10.21437/interspeech.2019-2521 dblp:conf/interspeech/HussainESY19 fatcat:kvjlh655a5a3nllbc5wexgsg7y

An agent based control system for a model factory [chapter]

A. J. R. Zwegers, H. J. Pels, R. L. J. Schrijver, R. J. Berg
1998 Advances in Production Management Systems  
The objective of this paper is to present the design of an agent based system for a specific model factory.  ...  A manufacturing system can be seen as a collection of autonomous, problem solving agents which interact when they have interdependencies.  ...  The drawback of a broadcast to an stations is that an overload of message exchanges may paralyse the system.  ... 
doi:10.1007/978-0-387-35304-3_10 fatcat:mkwivwtd2nfp7nl3xfdeez7rni
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