Phase annotated learning for apache spark: Workload recognition and characterization
SJ Jandaghi, A Bhattacharyya… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
In this paper, we introduce and evaluate a novel resource modeling technique for workload
profiling, detection and resource usage prediction for Spark workloads. Specifically, we …
profiling, detection and resource usage prediction for Spark workloads. Specifically, we …
Phase aware performance modeling for cloud applications
A Bhattacharyya, C Amza… - 2020 IEEE 13th …, 2020 - ieeexplore.ieee.org
In this paper we propose a new methodology for performance modeling of applications
deployed in the cloud based on automatically discovered phases along with their inputs. Our …
deployed in the cloud based on automatically discovered phases along with their inputs. Our …
An energy efficient and resource‐constrained scheduling framework for smart city application
With the development of smart Internet of things devices, intelligent applications are
expected to lead further innovation in smart city. However, although cloud computing …
expected to lead further innovation in smart city. However, although cloud computing …
[图书][B] Dynamic Object Partitioning and Replication for Cooperative Cache
O Asad - 2021 - search.proquest.com
Data intensive applications are usually designed using a multi-tier architecture that
comprises a web tier, an application tier and a backend database tier. To process requests …
comprises a web tier, an application tier and a backend database tier. To process requests …
Context aware anomaly detection
JP Wigglesworth, A Bhattacharyya, C Amza - US Patent 11,947,627, 2024 - Google Patents
A computer-implemented method for context aware anomaly detection includes receiving a
signal including real-time data, dividing the received signal into a set of training wavelets …
signal including real-time data, dividing the received signal into a set of training wavelets …