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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 …
Resource allocation and task scheduling in fog computing and internet of everything environments: A taxonomy, review, and future directions
The Internet of Everything paradigm is being rapidly adopted in develo** applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …
Issues and challenges of load balancing techniques in cloud computing: A survey
With the growth in computing technologies, cloud computing has added a new paradigm to
user services that allows accessing Information Technology services on the basis of pay-per …
user services that allows accessing Information Technology services on the basis of pay-per …
[HTML][HTML] Dynamic load balancing techniques in the IoT: A review
The Internet of things (IoT) extends the Internet space by allowing smart things to sense
and/or interact with the physical environment and communicate with other physical objects …
and/or interact with the physical environment and communicate with other physical objects …
SG-PBFS: Shortest gap-priority based fair scheduling technique for job scheduling in cloud environment
Job scheduling in cloud computing plays a crucial role in optimizing resource utilization and
ensuring efficient job allocation. But cloud resources may be wasted, or service performance …
ensuring efficient job allocation. But cloud resources may be wasted, or service performance …
Online job scheduling scheme for low-carbon data center operation: An information and energy nexus perspective
As the digitalization of the economy and society accelerates, the enormous and fast-growing
energy consumption of data centers is becoming a global concern. With the unique power …
energy consumption of data centers is becoming a global concern. With the unique power …
An improved task allocation scheme in serverless computing using gray wolf Optimization (GWO) based reinforcement learning (RIL) approach
Serverless computing offers a wide variety of event-driven integrations and cloud services,
easy development and implementation frameworks, and complex balancing and control of …
easy development and implementation frameworks, and complex balancing and control of …
DRALBA: Dynamic and resource aware load balanced scheduling approach for cloud computing
For the last few years, Cloud computing has been considered an attractive high-
performance computing platform for individuals as well as organizations. The Cloud service …
performance computing platform for individuals as well as organizations. The Cloud service …
Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021
Cloud computing is new technology that has considerably changed human life at different
aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity …
aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity …
[HTML][HTML] Enhanced round-robin algorithm in the cloud computing environment for optimal task scheduling
Recently, there has been significant growth in the popularity of cloud computing systems.
One of the main issues in building cloud computing systems is task scheduling. It plays a …
One of the main issues in building cloud computing systems is task scheduling. It plays a …