R. Ranjan

Computer Networks and Communications · Future generations computer systems · 2002–2018

A researcher in the Science corpus: 15 papers; trusts 15 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom R. Ranjan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Rajkumar Buyya
  2. Arnaud Legrand
  3. Manzur Murshed
  4. Rodrigo Neves Calheiros
  5. Rob J Hyndman
  6. Loris Marchal
  7. Chee Shin Yeo
  8. Henri Casanova
  9. Ramya Raghavendra
  10. Anton Beloglazov

Who trusts R. Ranjan overall

  1. Rajkumar Buyya
  2. Anton Beloglazov
  3. Rodrigo Neves Calheiros
  4. Kun Li
  5. Alberto Nuñez
  6. Nikolay Grozev
  7. Mohit Taneja
  8. Blesson Varghese
  9. Harshit Gupta
  10. Cheol-Ho Hong

Papers from R. Ranjan's perspective

Ordered by how strongly the researchers R. Ranjan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing (Concurrency and Computation)
  2. Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities (IEEE International Conference on High Performance Computing and Communications)
  3. Scheduling distributed applications: the SimGrid simulation framework (CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings.)
  4. The GRID: Blueprint for a New Computing Infrastructure (Parallel Distributed Comput. Pract.)
  5. Dynamo: amazon's highly available key-value store (Symposium on Operating Systems Principles)
  6. Managing energy and server resources in hosting centers (Symposium on Operating Systems Principles)
  7. Energy-Efficient Server Clusters (Power-Aware Computer Systems)
  8. Economic models for resource management and scheduling in Grid computing (Concurrency and Computation)
  9. The Case for VM-Based Cloudlets in Mobile Computing (IEEE pervasive computing)
  10. Automatic Time Series Forecasting: The forecast Package for R

Their papers