In cloud computing, with full control of the underlying infrastructures, cloud providers can flexibly place user jobs on suitable physical servers and dynamically allocate computing resources to user jobs in the form of virtual machines. As a cloud provider, scheduling user jobs in a way that minimizes their completion time is important, as this can increase the utilization, productivity, or pr...

Grid is a collection of heterogeneous systems or heterogeneous objects that are geographically distributed over a network. Job management is one of the chaotic issues of grid environment. For effective utilization of the resources in grid systems, efficient application/job scheduling methods are required. Job scheduling algorithms are commonly applied by grid resource managers to optimally disp...

Security assurance is a critical requirement for QoS or SLA satisfactions in risky grid environments because jobs may be scheduled to multiple machines across different distributed administrative domains. Unlike conventional methods using fixed-number job replications, in this paper, we propose a security-aware parallel and independent job scheduling algorithm based on adaptive job replications...

It is important to identify scalability constraints in existing job scheduling software as they are applied to next generation parallel systems. In this paper, we analyze the scalability of job scheduling and job dispatching functions in the IBM LoadLeveler job scheduler. To enable this scalability study, we propose and implement a new virtualization method to deploy different size LoadLeveler ...

Traditional scheduling models assume that the execution time of a job in a periodic job-set is constant in every instance of its execution. This assumption does not hold in real-time systems wherein job execution time is known to vary. A second feature of traditional models is their lack of expressiveness, in that constraints more complex than precedence constraints (for instance, relative timi...

This study aims to investigate characteristics of job-shop scheduling methods for micro-enterprise. Many scheduling methods have been proposed and evaluated. However, most of evaluations are not focused on application for micro-enterprise. In order to figure out an appropriate scheduling method for micro-enterprise, job-shop scheduling methods are evaluated from the view of applicability for mi...

Correlations in traffic patterns are an important facet of the workloads faced by real systems, andone that has far-reaching consequences on the performance and optimization of the systems involved.While there has been considerable amount of work on understanding the effect of correlations be-tween successive interarrival times, there is very little analytical work in understanding ...

One proposed technique to reduce energy consumption of data centers is thermal-aware job scheduling, i.e. job scheduling that relies on predictive thermal models to select among possible job schedules to minimize its energy needs. This paper investigates, using a more realistic linear cooling model, the energy savings of previously proposed thermal-aware job scheduling algorithms, which assume ...