Browsing by Author "Baig, Shuja-ur-Rehman"
Now showing items 1-7 of 7
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Adaptive prediction models for data center resources utilization estimation
(2019-12)
Article
Open AccessAccurate estimation of data center resource utilization is a challenging task due to multi-tenant co-hosted applications having dynamic and time-varying workloads. Accurate estimation of future resources utilization helps ... -
Adaptive sliding windows for improved estimation of data center resource utilization
(Elsevier, 2020-03)
Article
Open AccessAccurate prediction of data center resource utilization is required for capacity planning, job scheduling, energy saving, workload placement, and load balancing to utilize the resources efficiently. However, accurately ... -
Automatic distributed deep learning using resource-constrained edge devices
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Article
Open AccessProcessing data generated at high volume and speed from the Internet of Things, smart cities, domotic, intelligent surveillance, and e-healthcare systems require efficient data processing and analytics services at the Edge ... -
Data center's telemetry reduction and prediction through modeling techniques
(Universitat Politècnica de Catalunya, 2019-12-17)
Doctoral thesis
Open AccessNowadays, Cloud Computing is widely used to host and deliver services over the Internet. The architecture of clouds is complex due to its heterogeneous nature of hardware and is hosted in large scale data centers. To ... -
Performance Characterization of Spark Workloads on Shared NUMA Systems
(IEEE, 2018-07-09)
Conference lecture
Open AccessAs the adoption of Big Data technologies becomes the norm in an increasing number of scenarios, there is also a growing need to optimize them for modern processors. Spark has gained momentum over the last few years among ... -
Performance characterization of spark workloads on shared NUMA Systems
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessAs the adoption of Big Data technologies becomes the norm in an increasing number of scenarios, there is also a growing need to optimize them for modern processors. Spark has gained momentum over the last few years among ... -
Real-time data center's telemetry reduction and reconstruction using Markov chain models
(2019-12)
Article
Open AccessLarge-scale data centers are composed of thousands of servers organized in interconnected racks to offer services to users. These data centers continuously generate large amounts of telemetry data streams (e.g., hardware ...
