[PDF][PDF] Challenges and Issues of Resource Allocation Techniques in Cloud Computing.
In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex
problem due to the presence of heterogeneous application (MapReduce, content delivery …
problem due to the presence of heterogeneous application (MapReduce, content delivery …
QoS-aware autonomic resource management in cloud computing: a systematic review
As computing infrastructure expands, resource management in a large, heterogeneous, and
distributed environment becomes a challenging task. In a cloud environment, with …
distributed environment becomes a challenging task. In a cloud environment, with …
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 …
applications deployed on public clouds, the competition for end-users by cloud providers …
A performance study on the vm startup time in the cloud
M Mao, M Humphrey - 2012 IEEE Fifth International …, 2012 - ieeexplore.ieee.org
One of many advantages of the cloud is the elasticity, the ability to dynamically acquire or
release computing resources in response to demand. However, this elasticity is only …
release computing resources in response to demand. However, this elasticity is only …
Auto-scaling to minimize cost and meet application deadlines in cloud workflows
M Mao, M Humphrey - Proceedings of 2011 International Conference for …, 2011 - dl.acm.org
A goal in cloud computing is to allocate (and thus pay for) only those cloud resources that
are truly needed. To date, cloud practitioners have pursued schedule-based (eg, time-of …
are truly needed. To date, cloud practitioners have pursued schedule-based (eg, time-of …
Workflow scheduling in cloud: a survey
To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …
Costless: Optimizing cost of serverless computing through function fusion and placement
Serverless computing has recently experienced significant adoption by several applications,
especially Internet of Things (IoT) applications. In serverless computing, rather than …
especially Internet of Things (IoT) applications. In serverless computing, rather than …
Performance modeling and workflow scheduling of microservice-based applications in clouds
Microservice has been increasingly recognized as a promising architectural style for
constructing large-scale cloud-based applications within and across organizational …
constructing large-scale cloud-based applications within and across organizational …
The serverless trilemma: Function composition for serverless computing
The field of serverless computing has recently emerged in support of highly scalable, event-
driven applications. A serverless application is a set of stateless functions, along with the …
driven applications. A serverless application is a set of stateless functions, along with the …
A queuing theory model for cloud computing
The ability to deliver guaranteed QoS (Quality of Service) is crucial for the commercial
success of cloud platforms. This paper presents a model based on queuing theory to study …
success of cloud platforms. This paper presents a model based on queuing theory to study …