With modern requirements, there is an increasing tendency of considering multiple
objectives/criteria simultaneously in many Software Engineering (SE) scenarios. Such a …

Heterogeneous multi-processor architecture which achieves rich functionalities with different
types of processors, is widely used to provide powerful calculating capability while keeping …

Optimized scientific workflow scheduling can greatly improve the overall performance of
cloud computing. As workflow scheduling belongs to NP-complete problem, so, meta …

Now-a-days, Cloud computing is a technology which eludes provision cost while providing
scalability and elasticity to accessible resources on a pay-per-use basis. To satisfy the …

Recent studies focus primarily on low energy consumption or execution time for task
scheduling with precedence constraints in heterogeneous computing systems. In most …

Today, almost everyone is connected to the Internet and uses different Cloud solutions to
store, deliver and process data. Cloud computing assembles large networks of virtualized …

Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …

A multi-objective optimization approach is suggested here for scientific workflow task-
scheduling problems in cloud computing. More frequently, scientific workflow involves a …

Scheduling of scientific workflows on hybrid cloud architecture, which contains private and
public clouds, is a challenging task because schedulers should be aware of task inter …

Heterogeneous cloud datacenters are well-suited and cost-efficient platforms for execution
of scientific workflows requested from academics. Workflow scheduling algorithms have …