Eric Richard Kern

What is he best known for?

The fields of study he is best known for:

• Operating system
• Computer network
• The Internet

Eric Richard Kern spends much of his time researching Operating system, Computer hardware, Embedded system, Portable computer and Server. His work in the fields of BIOS, Booting, Virtual machine and Workload overlaps with other areas such as Normalization property. His work carried out in the field of Computer hardware brings together such families of science as Global position system and Global Positioning System.

His studies deal with areas such as Trusted Computing, Multiprocessing and Computer network, Failover as well as Embedded system. His Portable computer course of study focuses on Data processing system and Transmitter, Broadcast range, Wireless and Link. His Server study incorporates themes from Client-side and Server-side.

His most cited work include:

• Data processing system and method for permitting a computer to automatically detect a presence of and establish a communications link with a printer (135 citations)
• Method and system for tracking a secure boot in a trusted computing environment (120 citations)
• Autonomic scaling of virtual machines in a cloud computing environment (111 citations)

What are the main themes of his work throughout his whole career to date?

Operating system, Computer hardware, Computer network, Embedded system and Server are his primary areas of study. His research investigates the link between Operating system and topics such as Blade server that cross with problems in Failover and Chassis. His biological study spans a wide range of topics, including USB, Root complex and PCI Express.

In his study, Host is strongly linked to Real-time computing, which falls under the umbrella field of Computer network. The concepts of his Embedded system study are interwoven with issues in Event, Computer program and Protocol. His Server study which covers Client-side that intersects with Network interface controller.

He most often published in these fields:

• Operating system (36.13%)
• Computer hardware (31.93%)
• Computer network (26.89%)

What were the highlights of his more recent work (between 2007-2013)?

• Operating system (36.13%)
• Computer hardware (31.93%)
• Blade server (12.61%)

In recent papers he was focusing on the following fields of study:

Eric Richard Kern mainly investigates Operating system, Computer hardware, Blade server, Embedded system and Computer program. His works in Data center, Virtual machine, Server, Server farm and Serial communication are all subjects of inquiry into Operating system. In his study, which falls under the umbrella issue of Computer hardware, Cable gland is strongly linked to Root complex.

His research integrates issues of Chassis and Signal in his study of Blade server. His research in Embedded system tackles topics such as Computer network which are related to areas like Data mining. His Computer program research incorporates themes from Flow control and Port.

Between 2007 and 2013, his most popular works were:

• Autonomic scaling of virtual machines in a cloud computing environment (111 citations)
• Compact size portable computer having a fully integrated virtual keyboard projector and a display projector (57 citations)
• Virtual usb communications port (43 citations)

In his most recent research, the most cited papers focused on:

• Operating system
• Computer network
• The Internet

The scientist’s investigation covers issues in Operating system, Server, Data center, Cloud computing and Virtual machine. Client–server model, Internet Authentication Service, Task, USB hub and USB are the core of his Operating system study. His research in Server intersects with topics in Installation, CPU time and Server-side.

His Data center study typically links adjacent topics like Data processing. His work on Real-time computing expands to the thematically related Data processing. Computer memory, Disaster recovery, Normalization property, Scaling and Workload are fields of study that intersect with his Flagging study.