Cloud Computing research assistance in India

Cloud and distributed systems research: scheduling, cost models and reproducible benchmarking.

BTechMTechMScPhD

Cloud papers usually claim an improvement in cost, latency or energy. The claim is only as strong as the workload it was measured on and the number of times the measurement was repeated.

We document the workload, instance types and configuration precisely, report repeated runs with variance rather than a single best number, and write the cost model so a reader can apply it to their own deployment.

Areas we work in

resource schedulingserverless and containerscloud securitycost and energy optimisationmulti-cloud and federationedge-cloud continuum

Where cloud computing research is published

IEEE, ACM and Scopus-indexed cloud and distributed computing venues. We select the target before the writing starts, because scope and format decide as much as quality does.

The standards your work is judged by

  • IEEE or ACM citation style
  • workload and configuration reporting
  • repeated-run benchmarking conventions

Tools we analyse with

CloudSim and iFogSimKubernetes toolingPythonR for benchmark statistics

Who we work with

BTech, MTech, MSc, PhD candidates, research scholars and faculty, across all 510 cities we serve, entirely online, with a subject expert on every project.

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Cloud Computing research: FAQs

Do you write simulation-based cloud studies?

Yes, including CloudSim and iFogSim work, with the simulation parameters reported in full.

Can you help with scheduling algorithm papers?

Yes, including the baselines reviewers expect and complexity analysis.

Do you cover energy-aware computing?

Yes, including how to measure and report energy credibly.