Self-adaptive and online qos modeling for cloud-based software services
In the presence of scale, dynamism, uncertainty and elasticity, cloud software engineers
faces several challenges when modeling Quality of Service (QoS) for cloud-based software …
faces several challenges when modeling Quality of Service (QoS) for cloud-based software …
[PDF][PDF] A comprehensive survey on quality of service implementations in cloud computing
Quality of service plays is an important factor in distributed computing. Cloud computing has
been the paradigm in distributed computing. Under cloud computing, computing resources …
been the paradigm in distributed computing. Under cloud computing, computing resources …
Self-adaptive and sensitivity-aware QoS modeling for the cloud
Given the elasticity, dynamicity and on-demand nature of the cloud, cloud-based
applications require dynamic models for Quality of Service (QoS), especially when the …
applications require dynamic models for Quality of Service (QoS), especially when the …
A survey on quality of service in cloud computing
M Jelassi, C Ghazel, LA Saïdane - 2017 3rd International …, 2017 - ieeexplore.ieee.org
The quality of service is one of challenges posed by the Cloud Computing. This issue plays
an important role in making the Cloud services acceptable to customers, denotes the levels …
an important role in making the Cloud services acceptable to customers, denotes the levels …
Symbiotic and sensitivity-aware architecture for globally-optimal benefit in self-adaptive cloud
Due to the uncertain and dynamic demand for Quality of Service (QoS) in cloud-based
systems, engineering self-adaptivity in cloud architectures require novel approaches to …
systems, engineering self-adaptivity in cloud architectures require novel approaches to …
Online QoS modeling in the cloud: A hybrid and adaptive multi-learners approach
Given the on-demand nature of cloud computing, managing cloud-based services requires
accurate modeling for the correlation between their Quality of Service (QoS) and cloud …
accurate modeling for the correlation between their Quality of Service (QoS) and cloud …
Dynamic QoS optimization architecture for cloud-based DDDAS
An emerging class of Dynamic Data Driven application systems heavily depends on cloud
and Big Data. We refer to this class of DDDAS as cloud-based DDDAS. Despite the growing …
and Big Data. We refer to this class of DDDAS as cloud-based DDDAS. Despite the growing …
Toward optimal resource provisioning for cloud mapreduce and hybrid cloud applications
A Ruiz-Alvarez, M Humphrey - 2014 IEEE/ACM International …, 2014 - ieeexplore.ieee.org
Given the variety of resources available in public clouds and locally (hybrid clouds), it can be
very difficult to determine the best number and type of resources to allocate (and where) for …
very difficult to determine the best number and type of resources to allocate (and where) for …
The millibottleneck theory of performance bugs, and its experimental verification
The performance of n-tier web-facing applications often suffer from response time long-tail
problem. With relatively low resource utilization (less than 50%) and the majority of requests …
problem. With relatively low resource utilization (less than 50%) and the majority of requests …
[PDF][PDF] 一种面向云服务提供商的资源分配机制
殷波， 王颖， 邱雪松， 孟洛明 - 电子与信息学报, 2014 - edit.jeit.ac.cn
针对用户, 服务提供商(SP) 和基础设施提供商三者之间的市场行为所带来的收益问题,
该文面向服务提供商提出了一种两阶段多虚拟机资源分配机制. 首先, 建立能力规划模型并引入 …
该文面向服务提供商提出了一种两阶段多虚拟机资源分配机制. 首先, 建立能力规划模型并引入 …