An adaptive priority policy for radiotherapy scheduling
نویسندگان
چکیده
منابع مشابه
An Optimal Utilization of Cloud Resources using Adaptive Back Propagation Neural Network and Multi-Level Priority Queue Scheduling
With the innovation of cloud computing industry lots of services were provided based on different deployment criteria. Nowadays everyone tries to remain connected and demand maximum utilization of resources with minimum timeand effort. Thus, making it an important challenge in cloud computing for optimum utilization of resources. To overcome this issue, many techniques have been proposed ...
متن کاملAn Optimal Model for Priority based Service Scheduling Policy for Cloud Computing Environment
Cloud computing refers to the model, which is the pool of resources. Cloud makes on-demand delivery of these computational resources (data, software and infrastructure) among multiple services via a computer network with different load conditions of the cloud network. User will be charged for the resources used based upon time. Hence efficient utilization of cloud resources has become a major c...
متن کاملUsing Adaptive Priority Weighting to Direct Search in Probabilistic Scheduling
Many scheduling problems reside in uncertain and dynamic environments – tasks have a nonzero probability of failure and may need to be rescheduled. In these cases, an optimized solution for a short-term time horizon may have a detrimental impact over a broader time scale. We examine a scheduling domain in which time and energy on a phased array radar system is allocated to track objects in orbi...
متن کاملScheduling Based Priority Buffer Management on Adaptive Routers
Article history: Received 14 Novemberr 2013 Received in revised form 20 January 2014 Accepted 23 January 2014 Available online 25 February 2014
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Flexible Services and Manufacturing Journal
سال: 2019
ISSN: 1936-6582,1936-6590
DOI: 10.1007/s10696-019-09373-4