In [3, 17] the authors propose utilizing cloud for additional computation resources and approaches presented in [4, 18] focus on utilizing cloud's storage resources for sensory data.
On the other side, IoT cloud systems utilize cloud's theoretically unlimited resources, e.g., compute and storage, to enhance traditionally resource constrained IoT devices.
This approach is used in the proposed scheduler that not only reduces the power consumption but also efficiently utilize the cloud resources.
To surmount these challenges, we propose a knowledge-based admission control along with scheduling algorithms for SaaS providers to effectively utilize public Cloud resources in order to maximize profit by minimizing cost and improving customers' satisfaction level.
Linlin et al. in [14] propose an innovative admission control and scheduling algorithm for SaaS providers to effectively utilize public Cloud resources to maximize profit by minimizing cost and improving customer satisfaction level.
The main reasons for this are complex and strong dependence of the business logic on the underlying devices (and their specific capabilities), novel (resource) features that need to be considered, such as device location and the heterogeneity of the utilized IoT cloud resources.
Other VWN projects that have utilized cloud computing include the 'wireless network cloud' (WNC) project[173].
"It is the latest development in an ongoing IT strategy aimed at allowing us to focus on helping our customers securely and reliably connect to their cloud resources and utilize cloud-enabled applications".
They proposed a brokering strategy in the hybrid-cloud system where an organization that operates its private cloud aims to improve the QoS by utilizing the public cloud resources.
The design of highly reliable and highly utilized clouds strikes a balance between resource utilization that is high enough to use a majority of cloud resources yet is safely below the threshold in which many concurrent failures are likely.
We developed a method to run existing docking-based screening software on distributed cloud resources, utilizing the MapReduce approach.
