Rajiv Ranjan mostly deals with Cloud computing, Distributed computing, Big data, Scalability and Quality of service. His Cloud computing research incorporates themes from Computer network, Server and Provisioning. His Distributed computing research is multidisciplinary, incorporating elements of Virtual machine, Scheduling, CloudSim, Utility computing and Grid computing.
Rajiv Ranjan has researched CloudSim in several fields, including Data center and Intercloud. His Big data research integrates issues from Data security, Sparse approximation and Distributed database. His studies in Quality of service integrate themes in fields like Web server, Resource and Operating system.
His scientific interests lie mostly in Cloud computing, Distributed computing, Big data, Quality of service and Scalability. His Cloud computing research also works with subjects such as
He interconnects Data modeling, Analytics and The Internet in the investigation of issues within Big data. His Quality of service study combines topics in areas such as Enhanced Data Rates for GSM Evolution and Cloud testing. Scalability is often connected to Service in his work.
Rajiv Ranjan focuses on Cloud computing, Distributed computing, Big data, Quality of service and Enhanced Data Rates for GSM Evolution. Particularly relevant to Edge computing is his body of work in Cloud computing. His research on Distributed computing also deals with topics like
His study looks at the relationship between Big data and topics such as Data science, which overlap with Data analysis. The Quality of service study combines topics in areas such as Service and Cloud testing. His Enhanced Data Rates for GSM Evolution study combines topics from a wide range of disciplines, such as Computer security and Resource.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
Rodrigo N. Calheiros;Rajiv Ranjan;Anton Beloglazov;César A. F. De Rose.
Software - Practice and Experience (2011)
InterCloud: utility-oriented federation of cloud computing environments for scaling of application services
Rajkumar Buyya;Rajiv Ranjan;Rodrigo N. Calheiros.
international conference on algorithms and architectures for parallel processing (2010)
Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities
Rajkumar Buyya;Rajiv Ranjan;Rodrigo N. Calheiros.
international conference on high performance computing and simulation (2009)
CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services
Rodrigo N. Calheiros;Rajiv Ranjan;César A. F. De Rose;Rajkumar Buyya.
arXiv: Distributed, Parallel, and Cluster Computing (2009)
Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS
Rodrigo N. Calheiros;Enayat Masoumi;Rajiv Ranjan;Rajkumar Buyya.
ieee international conference on cloud computing technology and science (2015)
G-Hadoop: MapReduce across distributed data centers for data-intensive computing
Lizhe Wang;Jie Tao;Rajiv Ranjan;Holger Marten.
Future Generation Computer Systems (2013)
Virtual Machine Provisioning Based on Analytical Performance and QoS in Cloud Computing Environments
Rodrigo N. Calheiros;Rajiv Ranjan;Rajkumar Buyya.
international conference on parallel processing (2011)
Remote sensing big data computing
Yan Ma;Haiping Wu;Lizhe Wang;Bormin Huang.
Future Generation Computer Systems (2015)
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
Abdul Hameed;Alireza Khoshkbarforoushha;Rajiv Ranjan;Prem Prakash Jayaraman.
Computing (2016)
Streaming Big Data Processing in Datacenter Clouds
Rajiv Ranjan.
IEEE Cloud Computing (2014)
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