Application Orchestration is responsible for scheduling user sessions to application instances. In this paper, we propose four scheduling algorithms to assign sessions in a system with multiple MEC clouds. Results show that scheduling based on the occupancy level of MECs is quite robust in various ...
The minimization of energy consumption and makespan is one of the major issues for building large-scale clouds. There are different prospects of cloud computing has been studied to exploit the diversity of it viz. designing and implementing scheduling strategies and algorithms for specific tasks fault...
So, an open research line in cloud brokering is the integration of different placement algorithms and policies in the broker for optimal deploying of virtual services among multiple clouds, based on different optimization criteria, for example cost optimization, performance optimization, energy efficiency...
Considering the growing complexity of Cloud computing, future Cloud systems will require more effective resource management methods. In some complex scenarios with difficulties in directly evaluating the performance of scheduling solutions, classic algorithms (such as heuristics and meta-heuristics) will ...
Cloud computing is a new technology which provides online services to the consumers. In order to have a high efficiency in cloud computing, proper task scheduling is required. Since the task scheduling in cloud computing is regarded as an NP complete problem, so traditional heuristic algorithms do...
algorithms. In terms of scheduling, scientific flows are compact data during which a large volume of medium data is generated. In the Cloud, some valuable intermediate data is stored for reuse. This storage is done manually according to the capacity of the system. Today, more mediocre data ...
In this paper, we introduce a model of task scheduling for a cloud-computing data center to analyze energy-efficient task scheduling. We formulate the assignments of tasks to servers as an integer-programming problem with the objective of minimizing the energy consumed by the servers of the data...
higher quality compared to other algorithms. 1. Introduction The needs for computing and huge storage resources are fast growing. Therefore, cloud computing gets the attention due to the high performance computing services and facilities that are provided to the users as Software as a Service (SaaS...
time, efficiency, and utilization are included in this study. The simulation results show that the proposed scheduling method is superior to conventional Ant Colony and Particle Swarm Optimization-based scheduling algorithms in terms of performance....
This article proposes a task scheduler with several discrete variants of the particle swarm optimization (PSO) algorithm for task scheduling in cloud computing. In order to evaluate the performance, these approaches were compared with three well-known heuristic algorithms on task scheduling problems. ...