2015 - ACM Senior Member
Rizos Sakellariou spends much of his time researching Distributed computing, Scheduling, Grid computing, Workflow and Cloud computing. He undertakes multidisciplinary studies into Distributed computing and Resource management in his work. Rizos Sakellariou has included themes like Algorithm, Directed acyclic graph and Directed graph in his Scheduling study.
His research investigates the connection with Directed graph and areas like Heuristic which intersect with concerns in Processor scheduling, Fair-share scheduling, Dynamic priority scheduling, Rate-monotonic scheduling and Two-level scheduling. Rizos Sakellariou works in the field of Workflow, focusing on Workflow management system in particular. His study in Cloud computing is interdisciplinary in nature, drawing from both Virtual machine, Resource and Aggregate.
His main research concerns Distributed computing, Scheduling, Workflow, Cloud computing and Parallel computing. His work in Distributed computing addresses subjects such as Database, which are connected to disciplines such as Resource allocation. In his study, which falls under the umbrella issue of Scheduling, Directed graph is strongly linked to Directed acyclic graph.
His Workflow research incorporates themes from Particle swarm optimization, Cluster analysis and Computational problem. Rizos Sakellariou combines subjects such as Workload, Virtual machine and Provisioning with his study of Cloud computing. His work carried out in the field of Parallel computing brings together such families of science as Compiler and Compile time.
His primary scientific interests are in Cloud computing, Distributed computing, Scheduling, Virtual machine and Workflow. His work deals with themes such as Enhanced Data Rates for GSM Evolution, Aggregate and Process, which intersect with Cloud computing. His Distributed computing study combines topics from a wide range of disciplines, such as Resource and Provisioning.
His Scheduling research includes themes of Multicore systems and Dataflow, Parallel computing. In general Virtual machine study, his work on CloudSim often relates to the realm of Resource management, thereby connecting several areas of interest. The Workflow composition research Rizos Sakellariou does as part of his general Workflow study is frequently linked to other disciplines of science, such as Execution time, therefore creating a link between diverse domains of science.
His scientific interests lie mostly in Cloud computing, Distributed computing, Enhanced Data Rates for GSM Evolution, Storage as a service and Aggregate. He has included themes like Manufacturing operations, Work in process, Service and Systems engineering in his Cloud computing study. His studies in Distributed computing integrate themes in fields like Virtual machine, Scheduling and CloudSim.
The study incorporates disciplines such as Virtualization, Process, Genetic algorithm, Resource and Data center in addition to Virtual machine. His Scheduling study focuses on Job shop scheduling in particular. Rizos Sakellariou interconnects Computer security and Process in the investigation of issues within Enhanced Data Rates for GSM Evolution.
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A hybrid heuristic for DAG scheduling on heterogeneous systems
R. Sakellariou;H. Zhao.
international parallel and distributed processing symposium (2004)
A hybrid heuristic for DAG scheduling on heterogeneous systems
R. Sakellariou;H. Zhao.
international parallel and distributed processing symposium (2004)
A taxonomy of grid monitoring systems
Serafeim Zanikolas;Rizos Sakellariou.
Future Generation Computer Systems (2005)
A taxonomy of grid monitoring systems
Serafeim Zanikolas;Rizos Sakellariou.
Future Generation Computer Systems (2005)
Scheduling Workflows with Budget Constraints
Rizos Sakellariou;Henan Zhao;Eleni Tsiakkouri;Marios D. Dikaiakos.
grid computing (2007)
Scheduling Workflows with Budget Constraints
Rizos Sakellariou;Henan Zhao;Eleni Tsiakkouri;Marios D. Dikaiakos.
grid computing (2007)
Scheduling multiple DAGs onto heterogeneous systems
Henan Zhao;Rizos Sakellariou.
international parallel and distributed processing symposium (2006)
Scheduling multiple DAGs onto heterogeneous systems
Henan Zhao;Rizos Sakellariou.
international parallel and distributed processing symposium (2006)
DAG Scheduling Using a Lookahead Variant of the Heterogeneous Earliest Finish Time Algorithm
Luiz F. Bittencourt;Rizos Sakellariou;Edmundo R. M. Madeira.
parallel, distributed and network-based processing (2010)
DAG Scheduling Using a Lookahead Variant of the Heterogeneous Earliest Finish Time Algorithm
Luiz F. Bittencourt;Rizos Sakellariou;Edmundo R. M. Madeira.
parallel, distributed and network-based processing (2010)
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