Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Failure-aware energy-efficient VM consolidation in cloud computing systems
VM consolidation is an important technique used in cloud computing systems to improve
energy efficiency. It migrates the running VMs from under utilized physical resources to other …
energy efficiency. It migrates the running VMs from under utilized physical resources to other …
A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm
A Heidari, NJ Navimipour - PeerJ Computer Science, 2021 - peerj.com
Cloud computing is one of the most important computing patterns that use a pay-as-you-go
manner to process data and execute applications. Therefore, numerous enterprises are …
manner to process data and execute applications. Therefore, numerous enterprises are …
[HTML][HTML] Intelligent multi-agent reinforcement learning model for resources allocation in cloud computing
Now more than ever, optimizing resource allocation in cloud computing is becoming more
critical due to the growth of cloud computing consumers and meeting the computing …
critical due to the growth of cloud computing consumers and meeting the computing …
A novel nature-inspired algorithm for optimal task scheduling in fog-cloud blockchain system
In recent years, the utilization of fog cloud-based Internet of Things (IoT) applications has
been steadily rising due to the exponential growth of data produced by interconnected smart …
been steadily rising due to the exponential growth of data produced by interconnected smart …
A stochastic algorithm for scheduling bag-of-tasks applications on hybrid clouds under task duration variations
Hybrid cloud computing, which typically involves a hybrid architecture of public and private
clouds, is an ideal platform for executing bag-of-tasks (BoT) applications. Most existing BoT …
clouds, is an ideal platform for executing bag-of-tasks (BoT) applications. Most existing BoT …
Multi-objective cost-aware bag-of-tasks scheduling optimization model for IoT applications running on heterogeneous fog environment
S Seifhosseini, MH Shirvani, Y Ramzanpoor - Computer Networks, 2024 - Elsevier
Recently introduced by CISCO, the fog computing paradigm extends cloud-based
computing services near the Internet of Things (IoT) devices to serve their applications …
computing services near the Internet of Things (IoT) devices to serve their applications …
A cloud resource management framework for multiple online scientific workflows using cooperative reinforcement learning agents
Cloud is a common distributed environment to share strong and available resources to
increase the efficiency of complex and heavy calculations. In return for the cost paid by cloud …
increase the efficiency of complex and heavy calculations. In return for the cost paid by cloud …
Efficient bi-level multi objective approach for budget-constrained dynamic bag-of-tasks scheduling problem in heterogeneous multi-cloud environment
Bag-of-Tasks is a well-known model that processes big-data applications supporting
embarrassingly parallel jobs with independent tasks. Scheduling Bag-of-Tasks in a dynamic …
embarrassingly parallel jobs with independent tasks. Scheduling Bag-of-Tasks in a dynamic …
Scheduling bag-of-tasks applications on hybrid clouds under due date constraints
Abstract Bag-of-tasks (BoT) applications consisting of multiple tasks are widely used in a
variety of application fields. Different from the traditional deadline constraint in scheduling …
variety of application fields. Different from the traditional deadline constraint in scheduling …