What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Computer network
His main research concerns Server, Distributed computing, Energy conservation, Operating system and Real-time computing.
His research in Server is mostly focused on Server farm.
His studies deal with areas such as Workstation and Embedded system as well as Distributed computing.
His Energy conservation research incorporates elements of Redundancy, Skew, Computer data storage and Disk array.
His study in Operating system is interdisciplinary in nature, drawing from both Computer network and Leverage.
His Real-time computing study incorporates themes from Virtual machine, Electrical grid, Renewable energy, Intermittent energy source and Cloud computing.
His most cited work include:
- Load balancing and unbalancing for power and performance in cluster-based systems (485 citations)
- Power and energy management for server systems (428 citations)
- The MIT Alewife machine: architecture and performance (375 citations)
What are the main themes of his work throughout his whole career to date?
Ricardo Bianchini focuses on Distributed computing, Server, Operating system, Parallel computing and Software.
His biological study spans a wide range of topics, including Scalability, Distributed shared memory, Cache coherence, Real-time computing and Protocol.
The concepts of his Server study are interwoven with issues in Energy consumption, Web server and Cloud computing.
Ricardo Bianchini combines subjects such as Energy conservation, Embedded system, Energy management and Renewable energy with his study of Energy consumption.
His research in Operating system intersects with topics in State and Leverage.
When carried out as part of a general Parallel computing research project, his work on Multiprocessing and Cache is frequently linked to work in Alewife and Execution time, therefore connecting diverse disciplines of study.
He most often published in these fields:
- Distributed computing (34.08%)
- Server (27.37%)
- Operating system (20.11%)
What were the highlights of his more recent work (between 2014-2021)?
- Server (27.37%)
- Cloud computing (13.41%)
- Distributed computing (34.08%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Server, Cloud computing, Distributed computing, Operating system and Virtual machine.
His work deals with themes such as Frequency scaling, Power management, Data center, Efficient energy use and Component, which intersect with Server.
The Cloud computing study combines topics in areas such as Workload and Provisioning.
He interconnects Batch processing, Energy management, Function, Parallel computing and Software in the investigation of issues within Distributed computing.
His work focuses on many connections between Energy management and other disciplines, such as Real-time computing, that overlap with his field of interest in Renewable energy, Event and Energy accounting.
His work carried out in the field of Operating system brings together such families of science as Data access and State.
Between 2014 and 2021, his most popular works were:
- Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms (189 citations)
- ApproxHadoop: Bringing Approximations to MapReduce Frameworks (135 citations)
- Few-to-Many: Incremental Parallelism for Reducing Tail Latency in Interactive Services (66 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Computer network
Ricardo Bianchini mainly focuses on Distributed computing, Cloud computing, Server, Operating system and Real-time computing.
His Distributed computing research is multidisciplinary, incorporating elements of Batch processing and Schedule.
His research investigates the connection between Cloud computing and topics such as Workload that intersect with problems in Resource and Provisioning.
His studies in Server integrate themes in fields like Latency, Frequency scaling, Hyperscale, Embedded system and Efficient energy use.
His specific area of interest is Operating system, where he studies Server farm.
His Real-time computing research includes elements of Electrical grid and Reliability.
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