Cloud Computing is the latest and emerging trend in information technology domain. It offers utilitybased IT services to user over the Internet. Workflow scheduling is one of the major problems in cloud systems. A good scheduling algorithm must minimize the execution time and cost of workflow application along with QoS requirements of the user. In this paper we consider deadline as the major co...

This is a review paper. Review is carried out in three parts. First part covered up the introduction to PSO algorithm, load balancing based on PSO and multi objective job shop scheduling by improved PSO. Second part of this paper focused on workflow scheduling in cloud based on various versions of PSO. Third part explained PSO with cloud model with a little result analysis. This survey is done ...

Spacecraft software automatic testing plays an essential role in spacecraft testing field for a decade. However, less attention has been paid on it based on workflow methodology. In this paper we introduce workflow technology into testing for improving the automation of spacecraft software testing. Firstly we present a spacecraft testing process definition language STPDL. Then workflow patterns...

With the development of Grid technologies, scientists and engineers obtain large computing capability to execute large-scale workflow applications. However the Grids also bring a troublesome problem. In the dynamic, complex and unbounded Grid systems, malicious attacks and hardware faults, which are inevitable, can have a serious effect on the execution of applications. Therefore it is necessar...

Cloud computing is a cost effective alternative for the scientific community to deploy large scale workflow applications.For executing large scale scientific workflow applications in a distributed hetereogenous enviornment ,scheduling of workflow tasks with the dynamic resources is a challenging issue.Moreover in a utility based computing like cloud which supports pay per use model of the resou...

In high-performance computing (HPC), workflow-based workloads are usually data intensive for exploratory analysis of a scientific computation problem that may involve a large parameter space. To achieve the best performance, storage resource constraint is always a pragmatic concern in reality as the potential problem space scale, especially in big data science, as well as its required dataset a...

Grid computing is a high performance computing environment consisting of thousands of computers, sensors and other resources which are geographically distributed or globally located. To get a work done by these grids, workflow scheduling is an important task to be considered. Workflow is concerned with the automation of procedures whereby files and data are passed between participants nodes, ac...

QoS constraint based workflow scheduling described by Directed Acyclic Graph (DAG) has been proved to be a NP-hard problem in Cloud Computing Services, especially for cost minimization under deadline constraint. Due to Deadline Bottom Level (DBL) hasn’t considered the concurrence during the real executing process that cause much more shatter time to solve such problem, this paper proposes a nov...

Cloud workflow system is a kind of platform service based on cloud computing. It facilitates the automation of workflow applications. Between cloud workflow system and its counterparts, market-oriented business model is one of the most prominent factors. The optimization of task-level scheduling in cloud workflow system is a hot topic. As the scheduling is a NP problem, Ant Colony Optimization ...

Grid workflow can be defined as an organization of Grid Services into a well-defined flow of operations, and can be thought of as the composition of Grid Services over time on heterogeneous and distributed resources in a well-defined order to accomplish a specific goal. To the time-constrained workflow Scheduling in Grids, we present a scheduling algorithm in terms of the finite-state continuou...