Incapprox: A data analytics system for incremental approximate computing

DR Krishnan, DL Quoc, P Bhatotia, C Fetzer… - Proceedings of the 25th …, 2016 - dl.acm.org
Incremental and approximate computations are increasingly being adopted for data
analytics to achieve low-latency execution and efficient utilization of computing resources …

Workload analysis for the scope of user demand prediction model evaluations in cloud environments

J Panneerselvam, L Liu… - 2014 IEEE/ACM 7th …, 2014 - ieeexplore.ieee.org
Alongside the healthy development of the Cloud-based technologies across various
application deployments, their associated energy consumptions incurred by the excess …

InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments

J Panneerselvam, L Liu, N Antonopoulos - Future Generation Computer …, 2018 - Elsevier
Cloud Computing has emerged as a low cost anywhere anytime computing paradigm. Given
the energy consumption characteristics of the Cloud resources, service providers are under …

Privacy preserving stream analytics: The marriage of randomized response and approximate computing

DL Quoc, M Beck, P Bhatotia, R Chen, C Fetzer… - arXiv preprint arXiv …, 2017 - arxiv.org
How to preserve users' privacy while supporting high-utility analytics for low-latency stream
processing? To answer this question: we describe the design, implementation, and …

A Perspective view of Resource-based Capacity planning in Cloud computing

KC Anupama, R Nagaraja… - 2019 1st International …, 2019 - ieeexplore.ieee.org
In current scenario, a web based organization are highly attained a day to day demand of
executing server computation and responding very fast in nature. They faced a big booming …

Resource monitoring and prediction in cloud computing environments

H Chen, X Fu, Z Tang, X Zhu - 2015 3rd International …, 2015 - ieeexplore.ieee.org
Cloud computing provides elastic, scalable resource sharing service by resource
management. Resource monitoring and prediction are the foundation to achieve resource …

Design and Evaluation of a Hierarchical Characterization and Adaptive Prediction Model for Cloud Workloads

K Seshadri, K Sindhu, SN Bhattu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Workload characterization and subsequent prediction are significant steps in maintaining
the elasticity and scalability of resources in Cloud Data Centers. Due to the high variance in …

Modelling Network Latency and Online Video Gamers' Satisfaction with Machine Learning

A Wong, C Chiu, G Hains, J Behnke… - … on Recent Advances …, 2021 - ieeexplore.ieee.org
The Gamer's Private Network (GPN) technology improves and stabilizes latency of
communication between players and servers in online video games, especially when …

A note on software tools and techniques for monitoring and prediction of cloud services

R Ranjan, R Buyya, P Leitner… - Software-Practice …, 2014 - researchportalplus.anu.edu.au
Abstract The Special Issue of presents research papers on developing software tools and
techniques for monitoring and prediction of cloud services. Ryckbosch and Diwan propose a …

Online adaptive approximate stream processing with customized error control

X Wei, Y Liu, X Wang, S Gao, L Chen - IEEE Access, 2019 - ieeexplore.ieee.org
In approximate processing on stream data, most works focus on how to approximate online
arrival data. However, the efficiency of approximation needs to consider multiple aspects …