What is he best known for?
The fields of study he is best known for:
- Operating system
- Cloud computing
- The Internet
His scientific interests lie mostly in Cloud computing, Distributed computing, Virtual machine, Grid and Operating system.
His Cloud computing research is multidisciplinary, incorporating perspectives in Provisioning, The Internet and Software deployment.
His The Internet research is multidisciplinary, incorporating elements of Computer security and Data center.
The study incorporates disciplines such as Scheduling, Hypervisor, Simulation and Usability in addition to Distributed computing.
Ignacio M. Llorente interconnects Resource allocation, Dynamic priority scheduling, Load balancing, Server and Cloud computing systems in the investigation of issues within Virtual machine.
Ignacio M. Llorente combines subjects such as Testbed and Web service with his study of Grid.
His most cited work include:
- Virtual Infrastructure Management in Private and Hybrid Clouds (858 citations)
- The reservoir model and architecture for open federated cloud computing (712 citations)
- Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers (312 citations)
What are the main themes of his work throughout his whole career to date?
Ignacio M. Llorente mainly investigates Grid, Distributed computing, Cloud computing, Grid computing and Scheduling.
His study in Grid is interdisciplinary in nature, drawing from both Testbed, Resource and Operating system.
His Distributed computing study incorporates themes from Shared resource, Scalability, Utility computing and Resource allocation.
His Cloud computing study combines topics from a wide range of disciplines, such as Virtual machine, Software deployment, The Internet and Computer network, Provisioning.
His studies deal with areas such as Embedded system, Virtualization, Hypervisor and Server as well as Virtual machine.
His study on Grid computing also encompasses disciplines like
- Middleware that intertwine with fields like Middleware,
- Parallel computing which connect with Multigrid algorithm.
He most often published in these fields:
- Grid (51.45%)
- Distributed computing (46.82%)
- Cloud computing (41.62%)
What were the highlights of his more recent work (between 2013-2021)?
- Cloud computing (41.62%)
- Distributed computing (46.82%)
- Computer network (6.94%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cloud computing, Distributed computing, Computer network, Server and Provisioning.
His research in Cloud computing tackles topics such as Scalability which are related to areas like Fault tolerance.
His work in the fields of High availability overlaps with other areas such as Network layer.
As a part of the same scientific study, he usually deals with the Computer network, concentrating on Cloud management and frequently concerns with World Wide Web and Cloud testing.
His Server study also includes
- Virtual machine together with Hypervisor, Cloud broker, Resource allocation and Scheduling,
- Cloud computing security which connect with Industrial organization.
His Provisioning research incorporates themes from Response time, Quality of service, Web server, Queueing theory and Artificial intelligence.
Between 2013 and 2021, his most popular works were:
- A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade (81 citations)
- Cross-Site Virtual Network in Cloud and Fog Computing (41 citations)
- Cost optimization of virtual infrastructures in dynamic multi‐cloud scenarios (25 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Cloud computing
- The Internet
Ignacio M. Llorente focuses on Cloud computing, Distributed computing, Provisioning, Elasticity and Software deployment.
His Cloud computing research is multidisciplinary, incorporating perspectives in Machine learning, High availability and Scalability.
His study in High availability is interdisciplinary in nature, drawing from both Load balancing and Downtime.
His Scalability research includes themes of Resource allocation, Cloud broker, Fault tolerance, Scheduling and Server.
The Distributed computing study combines topics in areas such as Overlay network, The Internet and Virtual machine.
He combines subjects such as Computer network, Virtual network and Network virtualization with his study of Edge computing.
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