Levelized multiple workflow allocation strategy under precedence constraints with task merging in IaaS cloud environment
Cloud Service Providers are speedily becoming the target platform for scientific workflow
computations due to the massive possible and flexible pay-as-you-go pricing model …
computations due to the massive possible and flexible pay-as-you-go pricing model …
Load balancing tools and techniques in cloud computing: a systematic review
The cloud computing is an up-and-coming computing standard, which offers large-scale
distributed computing environment to share information and other resources as per users …
distributed computing environment to share information and other resources as per users …
A deadline aware load balancing strategy for cloud computing
The load balancing (LB) may be used at different levels to reduce overhead for the decision‐
making process. In the past decade, cloud computing has drawn a lot of attention from both …
making process. In the past decade, cloud computing has drawn a lot of attention from both …
Analysis of QoS aware energy‐efficient resource provisioning techniques in cloud computing
By incorporating on‐demand resources, software and data for collaborative services through
the Internet, the conventional Information Technology enterprise has been transformed by …
the Internet, the conventional Information Technology enterprise has been transformed by …
SAHEFT: Security aware heterogeneous earliest finish time workflow allocation strategy for IaaS cloud environment
Security is one of the most emerging issues in the real-life scientific workflow's applications
such as online marketing, big data, digital transaction etc. Cloud computing infrastructure is …
such as online marketing, big data, digital transaction etc. Cloud computing infrastructure is …
A novel strategy for deterministic workflow scheduling with load balancing using modified min-min heuristic in cloud computing environment
A Choudhary, R Rajak - Cluster Computing, 2024 - Springer
Abstract Cloud Computing Environment (CCE) has gained considerable attention in recent
years because of scalability, flexibility, and cost-effectiveness. Workflow scheduling, a critical …
years because of scalability, flexibility, and cost-effectiveness. Workflow scheduling, a critical …
Resource-aware load balancing model for batch of tasks (BoT) with best fit migration policy on heterogeneous distributed computing systems
Purpose Load balancing is an important issue for a heterogeneous distributed computing
system environment that has been proven to be a nondeterministic polynomial time hard …
system environment that has been proven to be a nondeterministic polynomial time hard …
Load balancing strategy for workflow tasks using stochastic fractal search (SFS) in Cloud Computing
Infrastructure-as-a-service cloud environment provides infrastructure services per the user's
workflow requirements using the pay-you-go model on demand. Workflow applications are …
workflow requirements using the pay-you-go model on demand. Workflow applications are …
A multi-objective workflow allocation strategyin IaaS cloud environment
IaaS Cloud provides infrastructural serviceon rental basis on demand by pooling of
dynamically provisioned heterogeneous resources to cater the user's workflow applications …
dynamically provisioned heterogeneous resources to cater the user's workflow applications …
A load balancing strategy with migration cost for independent batch of tasks (BoT) on heterogeneous multiprocessor interconnection networks
In high performance computing, heterogeneous Multiprocessor Interconnection Networks
(MINs) are used for processing of compute intensive applications. These applications are …
(MINs) are used for processing of compute intensive applications. These applications are …