What is she best known for?
The fields of study she is best known for:
- Computer network
- Operating system
- The Internet
Her primary scientific interests are in Computer network, Server, Distributed computing, Scheduling and Data mining.
The Computer network study combines topics in areas such as Input/output, Multimedia, The Internet and Cryptography.
The study incorporates disciplines such as Reliability, Piggybacking, Load balancing, BitTorrent and Type of service in addition to Server.
Her biological study spans a wide range of topics, including Completion time, Stochastic programming, Job scheduler and Stochastic optimization.
Her Scheduling study integrates concerns from other disciplines, such as Live video, Pareto principle, Software deployment and Implementation.
Her Data mining research incorporates elements of Wireless sensor network, False positive paradox and Domain knowledge.
Her most cited work include:
- Sensor faults: Detection methods and prevalence in real-world datasets (236 citations)
- Adaptive piggybacking: a novel technique for data sharing in video-on-demand storage servers (208 citations)
- Data centers power reduction: A two time scale approach for delay tolerant workloads (201 citations)
What are the main themes of her work throughout her whole career to date?
Leana Golubchik spends much of her time researching Distributed computing, Computer network, Server, The Internet and Quality of service.
Her Distributed computing research focuses on Real-time computing and how it relates to Wireless sensor network.
The concepts of her Computer network study are interwoven with issues in Fault tolerance and Data access.
Her Server research integrates issues from Reliability, Workload, Data migration, Queueing theory and Computer data storage.
Her studies in The Internet integrate themes in fields like Computer security, Scalability, Multimedia and Upload.
Her study in Quality of service is interdisciplinary in nature, drawing from both Resource allocation, Resource and Game theory.
She most often published in these fields:
- Distributed computing (25.00%)
- Computer network (23.84%)
- Server (21.51%)
What were the highlights of her more recent work (between 2017-2021)?
- Computer security (9.88%)
- MIMO (2.33%)
- Distributed computing (25.00%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Computer security, MIMO, Distributed computing, Software deployment and Stochastic gradient descent.
Her work carried out in the field of MIMO brings together such families of science as Wireless, Codebook, Electronic engineering and Robustness.
Her work deals with themes such as Optimization problem and Throughput, which intersect with Robustness.
Her research in Distributed computing intersects with topics in Key and SIMPLE.
Her Stochastic gradient descent research incorporates themes from Scheduling and Asynchronous communication.
She combines subjects such as Data mining, Pareto principle, Live video, Hierarchical clustering and Implementation with her study of Scheduling.
Between 2017 and 2021, her most popular works were:
- VideoEdge: Processing Camera Streams using Hierarchical Clusters (88 citations)
- Wide-area analytics with multiple resources (27 citations)
- Security Pricing as Enabler of Cyber-Insurance A First Look at Differentiated Pricing Markets (18 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
Network topology, Computer security, Distributed computing, Analytics and Profit are her primary areas of study.
The various areas that Leana Golubchik examines in her Network topology study include Cyberspace and Server.
Many of her research projects under Computer security are closely connected to Class, Set and Meta learning with Class, Set and Meta learning, tying the diverse disciplines of science together.
Leana Golubchik incorporates Distributed computing and Throughput in her studies.
She focuses mostly in the field of Analytics, narrowing it down to matters related to Software deployment and, in some cases, Hierarchical clustering, Scheduling, Implementation, Response time and Control.
Her Profit study incorporates themes from Information security and Monopoly.
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