Publication number: 20200250003
Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph.
Type:
Application
Filed:
June 29, 2018
Publication date:
August 6, 2020
Applicant:
Intel Corporation
Inventors:
Shao-Wen Yang, Yen-Kuang Chen, Ragaad Mohammed Irsehid Altarawneh, Juan Pablo Munoz Chiabrando, Siew Wen Chin, Kushal Datta, Subramanya R. Dulloor, Julio C. Zamora Esquivel, Omar Ulises Florez Choque, Vishakha Gupta, Scott D. Hahn, Rameshkumar Illikkal, Nilesh Kumar Jain, Siti Khairuni Amalina Kamarol, Anil S. Keshavamurthy, Heng Kar Lau, Jonathan A. Lefman, Yiting Liao, Michael G. Millsap, Ibrahima J. Ndiour, Luis Carlos Maria Remis, Addicam V. Sanjay, Usman Sarwar, Eve M. Schooler, Ned M. Smith, Vallabhajosyula S. Somayazulu, Christina R. Strong, Omesh Tickoo, Srenivas Varadarajan, Jesús A. Cruz Vargas, Hassnaa Moustafa, Arun Raghunath, Katalin Klara Bartfai-Walcott, Maruti Gupta Hyde, Deepak S. Vembar, Jessica McCarthy
Publication number: 20200205062
Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.
Type:
Application
Filed:
February 28, 2020
Publication date:
June 25, 2020
Inventors:
Shahrnaz Azizi, Biljana Badic, John Browne, Dave Cavalcanti, Hyung-Nam Choi, Thorsten Clevorn, Ajay Gupta, Maruti Gupta Hyde, Ralph Hasholzner, Nageen Himayat, Simon Hunt, Ingolf Karls, Thomas Kenney, Yiting Liao, Chris Macnamara, Marta Martinez Tarradell, Markus Dominik Mueck, Venkatesan Nallampatti Ekambaram, Niall Power, Bernhard Raaf, Reinhold Schneider, Ashish Singh, Sarabjot Singh, Srikathyayani Srikanteswara, Shilpa Talwar, Feng Xue, Zhibin Yu, Robert Zaus, Stefan Franz, Uwe Kliemann, Christian Drewes, Juergen Kreuchauf
Publication number: 20190364492
Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.
Type:
Application
Filed:
June 28, 2019
Publication date:
November 28, 2019
Inventors:
Shahrnaz Azizi, Biljana Badic, John Browne, Dave Cavalcanti, Hyung-Nam Choi, Thorsten Clevorn, Ajay Gupta, Maruti Gupta Hyde, Ralph Hasholzner, Nageen Himayat, Simon Hunt, Ingolf Karls, Thomas Kenney, Yiting Liao, Chris Macnamara, Marta Martinez Tarradell, Markus Dominik Mueck, Venkatesan Nallampatti Ekambaram, Niall Power, Bernhard Raaf, Reinhold Schneider, Ashish Singh, Sarabjot Singh, Srikathyayani Srikanteswara, Shilpa Talwar, Feng Xue, Zhibin Yu, Robert Zaus, Stefan Franz, Uwe Kliemann, Christian Drewes, Juergen Kreuchauf