Results 31 to 40 of about 28,240 (208)
Predicting QoS in Scheduled Crowdsourcing [PDF]
, 2012 Crowdsourcing has emerged as a new paradigm for outsourcing simple for humans yet hard to automate tasks to an undefined network of people. Crowdsourcing platforms like Amazon Mechanical Turk provide scalability and flexibility for customers that need to get manifold similar independent jobs done.
Roman Khazankin +2 more
openaire +1 more source
An SVR-based and Location-aware Method for Mobile QoS Prediction [PDF]
Journal of Universal Computer ScienceWith the rapid development of intelligent mobile communication technology, the num­ber of mobile services and the number of mobile users are both continuously increasing.
Lifang Ren, Jing Li, Wenjian Wang
doaj +3 more sources
A cross-layer approach to enhance QoS for multimedia applications over satellite [PDF]
, 2009 The need for on-demand QoS support for communications over satellite is of primary importance for distributed multimedia applications. This is particularly true for the return link which is often a bottleneck due to the large set of end-users accessing a
Chassot, Christophe +4 more
core +1 more source
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs [PDF]
, 2016 In this work we propose a structured prediction technique that combines the virtues of Gaussian Conditional Random Fields (G-CRF) with Deep Learning: (a) our structured prediction task has a unique global optimum that is obtained exactly from the ...
Chandra, Siddhartha, Kokkinos, Iasonas
core +5 more sources
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation
, 2015 QoS-based Web service recommendation has recently gained much attention for providing a promising way to help users find high-quality services. To facilitate such recommendations, existing studies suggest the use of collaborative filtering techniques for
He, Pinjia +3 more
core +1 more source
Topology-aware GPU scheduling for learning workloads in cloud environments [PDF]
, 2017 Recent advances in hardware, such as systems with multiple GPUs and their availability in the cloud, are enabling deep learning in various domains including health care, autonomous vehicles, and Internet of Things.
Amaral, Marcelo +4 more
core +1 more source
Journal of Applied Science & Process Engineering, 2020 Quality of service (QoS) performance evaluation is an essential indicator in determining the efficiency of services rendered by an industry. Comparison of some key performance indicators with standard threshold values has been a major approach for ...
Jide Julius Popoola, Adewale Enoch Areo
doaj +1 more source
Neighborhood-aware web service quality prediction using deep learning
EURASIP Journal on Wireless Communications and Networking, 2019 With the rapid growth of web services on the Internet, it becomes more difficult for users who want to choose the high-quality web services from a large number of functionally equivalent candidate services. Therefore, the prediction of quality of service
Ying Jin +3 more
doaj +1 more source
An Intelligent QoS Identification for Untrustworthy Web Services Via Two-phase Neural Networks
, 2016 QoS identification for untrustworthy Web services is critical in QoS management in the service computing since the performance of untrustworthy Web services may result in QoS downgrade.
Lu, Wei, Wang, Liqiang, Wang, Weidong
core +1 more source
EVEREST+: Run-time SLA violations prediction [PDF]
, 2010 Monitoring the preservation of QoS properties during the operation of service-based systems at run-time is an important verification measure for checking if the current service usage is compliant with agreed SLAs.
Lorenzoli, D., Spanoudakis, G.
core +1 more source