What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Erik Elmroth focuses on Cloud computing, Distributed computing, Virtual machine, Resource and Algorithm.
His study brings together the fields of Provisioning and Cloud computing.
His Distributed computing research incorporates elements of Scalability, Grid computing, Interoperability, Language interoperability and Scheduling.
His Virtual machine research includes elements of Real-time computing, Video server, Mathematical optimization and Embedded system.
His Resource research is multidisciplinary, incorporating elements of Middleware, Accounting and Database.
His research integrates issues of Uniprocessor system, Matrix and Block in his study of Algorithm.
His most cited work include:
- The reservoir model and architecture for open federated cloud computing (712 citations)
- OPTIMIS: A holistic approach to cloud service provisioning (327 citations)
- An adaptive hybrid elasticity controller for cloud infrastructures (220 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Distributed computing, Cloud computing, Scheduling, Scalability and Virtual machine.
His work deals with themes such as Resource, Workload, Cloud management and Grid computing, which intersect with Distributed computing.
His Grid computing study deals with Information and Computer Science intersecting with Database.
Erik Elmroth combines subjects such as Data center, Real-time computing, Provisioning and Server with his study of Cloud computing.
His studies deal with areas such as Testbed and Quality of service as well as Server.
His Live migration research extends to Virtual machine, which is thematically connected.
He most often published in these fields:
- Distributed computing (44.02%)
- Cloud computing (44.02%)
- Scheduling (13.40%)
What were the highlights of his more recent work (between 2016-2021)?
- Cloud computing (44.02%)
- Distributed computing (44.02%)
- Testbed (5.74%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Cloud computing, Distributed computing, Testbed, Server and Anomaly detection.
In general Cloud computing, his work in Elasticity is often linked to Resource management linking many areas of study.
His Elasticity research integrates issues from Virtualization and Megabyte.
His research in Distributed computing intersects with topics in Scalability, Latency, Workload, Scheduling and Provisioning.
His study on Testbed also encompasses disciplines like
- Network packet and related Boosting, The Internet and Router,
- Bottleneck that connect with fields like Fault injection, Network topology, Identification, Logical topology and Theoretical computer science.
Erik Elmroth usually deals with Server and limits it to topics linked to Data center and Response time, Brownout and Telecommunications network.
Between 2016 and 2021, his most popular works were:
- Dynamic application placement in the Mobile Cloud Network (38 citations)
- Location-aware load prediction in Edge Data Centers (25 citations)
- Adaptive Anomaly Detection in Performance Metric Streams (22 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
His primary areas of study are Distributed computing, Cloud computing, Scheduling, Quality of service and Provisioning.
The various areas that Erik Elmroth examines in his Distributed computing study include Scalability, Instrumentation, Time series, Workload and Root cause.
Erik Elmroth integrates Cloud computing with Net profit in his research.
His studies examine the connections between Scheduling and genetics, as well as such issues in Workflow, with regards to Pilot job, Batch processing and Turnaround time.
His Quality of service research incorporates elements of Metric, Autoscaling, Real-time computing, Fuzzy logic and Reinforcement learning.
His Provisioning research incorporates themes from Resource allocation, Base station and Autonomic computing.
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