Machine learning (ML)-centric resource management in cloud computing: A review and future directions

T Khan, W Tian, G Zhou, S Ilager, M Gong… - Journal of Network and …, 2022 - Elsevier
Cloud computing has rapidly emerged as a model for delivering Internet-based utility
computing services. Infrastructure as a Service (IaaS) is one of the most important and …

[PDF][PDF] A taxonomy and survey of content delivery networks

AMK Pathan, R Buyya - Grid computing and distributed systems …, 2007 - hit.bme.hu
Content Delivery Networks (CDNs) have evolved to overcome the inherent limitations of the
Internet in terms of user perceived Quality of Service (QoS) when accessing Web content. A …

Characterizing, modeling, and benchmarking {RocksDB}{Key-Value} workloads at facebook

Z Cao, S Dong, S Vemuri, DHC Du - 18th USENIX Conference on File …, 2020 - usenix.org
Persistent key-value stores are widely used as building blocks in today's IT infrastructure for
managing and storing large amounts of data. However, studies of characterizing real-world …

A large-scale analysis of hundreds of in-memory key-value cache clusters at twitter

J Yang, Y Yue, KV Rashmi - ACM Transactions on Storage (TOS), 2021 - dl.acm.org
Modern web services use in-memory caching extensively to increase throughput and reduce
latency. There have been several workload analyses of production systems that have fueled …

Batch: Machine learning inference serving on serverless platforms with adaptive batching

A Ali, R Pinciroli, F Yan, E Smirni - … International Conference for …, 2020 - ieeexplore.ieee.org
Serverless computing is a new pay-per-use cloud service paradigm that automates resource
scaling for stateless functions and can potentially facilitate bursty machine learning serving …

Workload prediction using ARIMA model and its impact on cloud applications' QoS

RN Calheiros, E Masoumi, R Ranjan… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
As companies shift from desktop applications to cloud-based software as a service (SaaS)
applications deployed on public clouds, the competition for end-users by cloud providers …

Distributed denial of service attack detection for the Internet of Things using hybrid deep learning model

A Ahmim, F Maazouzi, M Ahmim, S Namane… - IEEE …, 2023 - ieeexplore.ieee.org
As a result of the widespread adoption of the Internet of Things, there are now hundreds of
millions of connected devices, increasing the likelihood that they may be vulnerable to …

Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

R Buyya, CS Yeo, S Venugopal, J Broberg… - Future Generation …, 2009 - Elsevier
With the significant advances in Information and Communications Technology (ICT) over the
last half century, there is an increasingly perceived vision that computing will one day be the …

A DDoS attack detection and countermeasure scheme based on DWT and auto-encoder neural network for SDN

RF Fouladi, O Ermiş, E Anarim - Computer Networks, 2022 - Elsevier
Abstract Software Defined Networking provides new functionalities to easily manage,
configure, and optimize network resources by introducing a clear separation between the …

[PDF][PDF] The ant system: An autocatalytic optimizing process

M Dorigo, V Maniezzo, A Colorni - 1991 - academia.edu
A combination of distributed computation, positive feedback and constructive greedy
heuristic is proposed as a new approach to stochastic optimization and problem solving …