A New Approach for a Better Load Balancing and a Better Distribution of Resources in Cloud Computing

Abstract

Abstract-Cloud computing is a new paradigm where data and services of Information Technology are provided via the Internet by using remote servers. It represents a new way of delivering computing resources allowing access to the network on demand. Cloud computing consists of several services, each of which can hold several tasks. As the problem of scheduling tasks is an NP-complete problem, the task management can be an important element in the technology of cloud computing. To optimize the performance of virtual machines hosted in cloud computing, several algorithms of scheduling tasks have been proposed. In this paper, we present an approach allowing to solve the problem optimally and to take into account the QoS constraints based on the different user requests. This technique, based on the Branch and Bound algorithm, allows to assign tasks to different virtual machines while ensuring load balance and a better distribution of resources. The experimental results show that our approach gives very promising results for an effective tasks planning.

VANET congestion control approach using empathy

“…It will be very interesting to test our approach with a more efficient algorithm. Also, the idea behind the article supports that the cooperation, based on the local knowledge of the network, is very important in a vehicular ad hoc network, empathy is a cooperative behavior too and we intend to go further with the approach and see how it could be applied in other scenarios such as the ones in cloud services [17,18,19,20,21] or for airport planes as detailed in [24,25].…”

Модели И Методы Распределения Вычислительных Ресурсов В Облачной Среде

“…In this paper [4] an exact methodology was used to research an algorithm for the scheduling of tasks in a cloud computing environment. This approach is based on the branch-and-bound algorithm, which combines the QoS constraints on both aspects: the user dimension, and the machine load balancing aspect.…”