Elasticity in cloud computing: state of the art and research challenges
Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …
developments. This article reviews both classical and recent elasticity solutions and …
A review of auto-scaling techniques for elastic applications in cloud environments
Cloud computing environments allow customers to dynamically scale their applications. The
key problem is how to lease the right amount of resources, on a pay-as-you-go basis …
key problem is how to lease the right amount of resources, on a pay-as-you-go basis …
Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
Recent leading approaches to semantic segmentation rely on deep convolutional networks
trained with human-annotated, pixel-level segmentation masks. Such pixel-accurate …
trained with human-annotated, pixel-level segmentation masks. Such pixel-accurate …
{MArk}: Exploiting cloud services for {Cost-Effective},{SLO-Aware} machine learning inference serving
The advances of Machine Learning (ML) have sparked a growing demand of ML-as-a-
Service: developers train ML models and publish them in the cloud as online services to …
Service: developers train ML models and publish them in the cloud as online services to …
Auto-scaling web applications in clouds: A taxonomy and survey
C Qu, RN Calheiros, R Buyya - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Web application providers have been migrating their applications to cloud data centers,
attracted by the emerging cloud computing paradigm. One of the appealing features of the …
attracted by the emerging cloud computing paradigm. One of the appealing features of the …
Optimizing energy consumption for data centers
Big data applications have become increasingly popular with the appearance of cloud
computing and green computing. Therefore, internet service providers (ISPs) need to build …
computing and green computing. Therefore, internet service providers (ISPs) need to build …
Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey
The cloud phenomenon is quickly becoming an important service in Internet computing.
Infrastructure as a Service (IaaS) in cloud computing is one of the most significant and …
Infrastructure as a Service (IaaS) in cloud computing is one of the most significant and …
Efficient autoscaling in the cloud using predictive models for workload forecasting
Large-scale component-based enterprise applications that leverage Cloud resources expect
Quality of Service (QoS) guarantees in accordance with service level agreements between …
Quality of Service (QoS) guarantees in accordance with service level agreements between …
A novel approach to workload prediction using attention-based LSTM encoder-decoder network in cloud environment
Y Zhu, W Zhang, Y Chen, H Gao - EURASIP Journal on Wireless …, 2019 - Springer
Server workload in the form of cloud-end clusters is a key factor in server maintenance and
task scheduling. How to balance and optimize hardware resources and computation …
task scheduling. How to balance and optimize hardware resources and computation …
Survey on prediction models of applications for resources provisioning in cloud
M Amiri, L Mohammad-Khanli - Journal of Network and Computer …, 2017 - Elsevier
According to the dynamic nature of cloud and the rapid growth of the resources demand in it,
the resource provisioning is one of the challenging problems in the cloud environment. The …
the resource provisioning is one of the challenging problems in the cloud environment. The …