What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Hans-Arno Jacobsen focuses on Distributed computing, Publication, Scalability, Computer network and Middleware.
His Distributed computing study combines topics from a wide range of disciplines, such as Web service, Business Process Execution Language, Business process, Middleware and Workflow.
His Scalability study is concerned with the field of Database as a whole.
His Database study incorporates themes from Data science and Big data.
Many of his research projects under Computer network are closely connected to Throughput with Throughput, tying the diverse disciplines of science together.
His Middleware study also includes fields such as
- Common Object Request Broker Architecture and Object-oriented programming most often made with reference to Code refactoring,
- Aspect-oriented programming and related Software engineering.
His most cited work include:
- PNUTS: Yahoo!'s hosted data serving platform (984 citations)
- BigBench: towards an industry standard benchmark for big data analytics (290 citations)
- Solving big data challenges for enterprise application performance management (187 citations)
What are the main themes of his work throughout his whole career to date?
Hans-Arno Jacobsen mostly deals with Distributed computing, Publication, Scalability, Computer network and World Wide Web.
His biological study spans a wide range of topics, including Event, Complex event processing, Overlay, Middleware and Cloud computing.
Many of his Publication research pursuits overlap with Middleware, Information Dissemination and Routing.
His Scalability research is within the category of Database.
His work in Database is not limited to one particular discipline; it also encompasses Benchmark.
He combines subjects such as Dissemination, Overlay network and Message passing with his study of Computer network.
He most often published in these fields:
- Distributed computing (28.01%)
- Publication (19.33%)
- Scalability (17.65%)
What were the highlights of his more recent work (between 2016-2021)?
- Scalability (17.65%)
- Distributed computing (28.01%)
- Publication (19.33%)
In recent papers he was focusing on the following fields of study:
His main research concerns Scalability, Distributed computing, Publication, Cloud computing and Computer network.
Hans-Arno Jacobsen interconnects Data flow diagram, Block, Latency and Relevance in the investigation of issues within Scalability.
Hans-Arno Jacobsen is studying Distributed database, which is a component of Distributed computing.
He has included themes like Optimization problem, Software deployment and Data science in his Cloud computing study.
His biological study spans a wide range of topics, including Variety, Workflow, Smart contract and Big data.
He works on Computer network which deals in particular with Cache.
Between 2016 and 2021, his most popular works were:
- Towards Dependable, Scalable, and Pervasive Distributed Ledgers with Blockchains (52 citations)
- Model-Based Dispatch Strategies for Lithium-Ion Battery Energy Storage Applied to Pay-as-Bid Markets for Secondary Reserve (42 citations)
- Static and Dynamic Process Change (35 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
Distributed computing, Scalability, Cloud computing, Business process and Energy consumption are his primary areas of study.
Hans-Arno Jacobsen is involved in the study of Distributed computing that focuses on Distributed database in particular.
His Scalability research is multidisciplinary, incorporating elements of Database transaction, State, Block and Shard.
His Cloud computing research includes themes of Web application, Optimization problem and Data science.
His Business process study combines topics in areas such as Process modeling, Event and Service.
His Energy consumption study which covers Feature that intersects with Data mining.
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