His main research concerns Distributed computing, Scheduling, Real-time computing, Energy consumption and Earliest deadline first scheduling. His Distributed computing research includes themes of Schedule, Uniprocessor system and Wireless sensor network, Computer network. Daniel Mosse has researched Scheduling in several fields, including Fault tolerance, Multiprocessing and Computational complexity theory.
His research integrates issues of Software versioning and Power management in his study of Real-time computing. His work in Energy consumption tackles topics such as Energy management which are related to areas like Reliability, Voltage, Transient and Power control. The concepts of his Earliest deadline first scheduling study are interwoven with issues in Central processing unit and Fixed-priority pre-emptive scheduling.
His primary scientific interests are in Distributed computing, Scheduling, Computer network, Real-time computing and Energy consumption. His research on Distributed computing also deals with topics like
Real-time computing connects with themes related to Workload in his study. His Energy consumption research is multidisciplinary, incorporating perspectives in Power management, Efficient energy use, Embedded system and Energy management. His work carried out in the field of Fault tolerance brings together such families of science as Redundancy and Real-time operating system.
The scientist’s investigation covers issues in Computer security, Computer network, Scheduling, Distributed computing and Software. In the field of Computer security, his study on Intrusion detection system overlaps with subjects such as Emergency management. His study looks at the relationship between Computer network and fields such as Wireless network, as well as how they intersect with chemical problems.
His research investigates the connection between Scheduling and topics such as Duty cycle that intersect with problems in Integer programming. He brings together Distributed computing and Electronic mail to produce work in his papers. His Wireless sensor network research is multidisciplinary, relying on both Gain scheduling, Maximum throughput scheduling, Dynamic priority scheduling, Fair-share scheduling and Wireless WAN.
Daniel Mosse mostly deals with Computer security, Emergency management, Field, Cloud computing and Home automation. His Computer security research incorporates themes from Telecommunications network, Control and Taxonomy. As part of the same scientific family, Daniel Mosse usually focuses on Field, concentrating on Smart environment and intersecting with Distributed computing.
He merges Distributed computing with Order in his study. His research in Home automation tackles topics such as Gateway which are related to areas like The Internet. His work in Wireless addresses issues such as Robot, which are connected to fields such as Computer network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Dynamic and aggressive scheduling techniques for power-aware real-time systems
H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
real-time systems symposium (2001)
Power-aware scheduling for periodic real-time tasks
H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
IEEE Transactions on Computers (2004)
The effects of energy management on reliability in real-time embedded systems
Dakai Zhu;R. Melhem;D. Mosse.
international conference on computer aided design (2004)
Optimal reward-based scheduling for periodic real-time tasks
H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
IEEE Transactions on Computers (2001)
Determining optimal processor speeds for periodic real-time tasks with different power characteristics
H. Aydin;R. Melhem;D. Mosse;P. Mejia-Alvarez.
euromicro conference on real-time systems (2001)
Maximizing the system value while satisfying time and energy constraints
C. A. Rusu;R. Melhem;D. Mossé.
Ibm Journal of Research and Development (2003)
Fault-tolerance through scheduling of aperiodic tasks in hard real-time multiprocessor systems
S. Ghosh;R. Melhem;D. Mosse.
IEEE Transactions on Parallel and Distributed Systems (1997)
Increasing PCM main memory lifetime
Alexandre P. Ferreira;Miao Zhou;Santiago Bock;Bruce Childers.
design, automation, and test in europe (2010)
Energy aware scheduling for distributed real-time systems
R. Mishra;N. Rastogi;Dakai Zhu;D. Mosse.
international parallel and distributed processing symposium (2003)
The interplay of power management and fault recovery in real-time systems
R. Melhem;D. Mosse;E. Elnozahy.
IEEE Transactions on Computers (2004)
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