Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …

Heterogeneous distributed computing systems are the emerging for executing scientific and
computationally intensive applications. Cloud computing in this context describes a …

Cloud computing provides promising platforms for executing large applications with
enormous computational resources to offer on demand. In a Cloud model, users are …

Dynamic on‐demand resource provisioning is one of the primary goals of the cloud
computing task scheduling process. Task scheduling is a nondeterministic polynomial time …

Providing resources and services from multiple clouds is becoming an increasingly
promising paradigm. Workflow applications are becoming increasingly computation …

The advent of the cloud computing paradigm allowed multiple organizations to move,
compute, and host their applications in the cloud environment, enabling seamless access to …

The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …

One of the most difficult aspects of scheduling operations on virtual machines in a multi-
cloud environment is determining a near-optimal permutation. This task requires assigning …

Cloud computing employs parallel and distributed computing concepts to provide users with
shared resources through the internet. One of the most important issues which are raised in …

The problem of workflow scheduling on virtual machines in a cloud environment is to find the
near optimal permutation of the assignment of independent computational jobs on a set of …