Muhammad Wajahat

Orcid: 0000-0002-0764-8251

According to our database1, Muhammad Wajahat authored at least 13 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Analyzing the distribution fit for storage workload and Internet traffic traces.
Perform. Evaluation, 2020

MERIT: Model-driven Rehoming for VNF Chains.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019
MLscale: A machine learning based application-agnostic autoscaler.
Sustain. Comput. Informatics Syst., 2019

CostEfficient Dynamic Management of Cloud Resources through Supervised Learning.
SIGMETRICS Perform. Evaluation Rev., 2019

Distribution Fitting and Performance Modeling for Storage Traces.
Proceedings of the 27th IEEE International Symposium on Modeling, 2019

Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
A Model-Driven Graybox Approach to Rehoming Service Chains.
Proceedings of the 26th IEEE International Symposium on Modeling, 2018

ElMem: Towards an Elastic Memcached System.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Application-Agnostic Batch Workload Management in Cloud Environments.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
Deconstructing the Energy Consumption of the Mobile Page Load.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Realizing an elastic memcached via cached data migration: poster.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Posters and Demos, Las Vegas, NV, USA, December 11, 2017

Lessons learnt from software tuning of a Memcached-backed, multi-tier, web cloud application.
Proceedings of the Eighth International Green and Sustainable Computing Conference, 2017

2016
Using machine learning for black-box autoscaling.
Proceedings of the Seventh International Green and Sustainable Computing Conference, 2016


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