Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Michael Borokhovich
Also published under:
Affiliation
AT&T Labs, Florham Park, NJ, USA
Topic
Allocation Scheme,Arrival Rate,Control Plane,Formal Analysis,Free Choice,Knapsack Problem,Leaf Node,Linear Programming Relaxation,Link Failure,Multiple Agents,Multiple Failure,Network Load,Nonnegative Orthant,Number Of Steps,Number Of Workers,Optimization Problem,Packet Header,Performance Guarantees,Platform Providers,Precedence Constraints,Row Vector,Set Of Agents,Single Failure,Strict Order,Task Allocation,Turnaround Time,Types Of Agents,Types Of Tasks,Typical Steps,Almost Surely,Amount Of Memory,Arbitrary Pair,Arrival Process,Binary Index,Binary Tree,Binary Vector,Breadth-first Search,Circular Sequences,Closure Of The Set,Code Blocks,Combination Of Design,Common Ancestor,Communication Cost,Communication Patterns,Complex Network,Conditional Entropy,Decoding,Depth-first,Destination Node,Different Types Of Agents,
Biography
Michael Borokhovich (Member, IEEE) received the B.Sc., M.Sc., and Ph.D. degrees in communication systems engineering from Ben-Gurion University, Israel, in 2005, 2009, and 2013, respectively. From 2014 to 2015, he was a Post-Doctoral Researcher with UT Austin, Austin, TX, USA, where he worked on efficient algorithms for distributed graph engines. From 2015 to 2017, he was with AT&T Labs-Research, where he worked on Open Network Automation Platform (ONAP) and virtual network functions (VNFs). He is currently with Amazon, where he builds innovative SDN solutions for AWS networking. The main research topics included fast failover in OpenFlow SDN networks, distributed algorithms, and optimization.