Establishing the measurement equivalence of instruments is a prerequisite to making meaningful comparisons between individuals or within individuals over time. Whereas previous research has investigated the effects of rater characteristics on the measurement equivalence of performance ratings, the current study investigated a ratee characteristic – ratee job experience. Using confirmatory facto...

In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the simultaneous allocation of resources such as processors and input files in multiple clusters. While such jobs may have reduced runtimes because they have access to more resources, waiting for processors in multiple clusters and for the input files to become available in the right locations may intro...

Grid computing is a means of allocating the computational power of a large number of computers to complex difficult computation or problem. Grid computing is a distributed computing paradigm that differs from traditional distributed computing in that it is aimed toward large scale systems that even span organizational boundaries. This paper proposes a method to achieve maximum fault tolerance i...

Data Grid is a geographically distributed environment that deals with large-scale data-intensive problems. The main problems in data grid are job scheduling and data management. Generally, job scheduling in Grid has been studied from the perspective of computational Grid. In Data Grid, effective scheduling policy should consider both computational and data storage resources. In this paper a new...

Study Objectives Tolerance to shift work varies; only some shift workers suffer from disturbed sleep, fatigue, and job-related exhaustion. Our aim was to explore molecular genetic risk factors for intolerance to shift work. Methods We assessed intolerance to shift work with job-related exhaustion symptoms in shift workers using the emotional exhaustion subscale of the Maslach Burnout Inventor...

Distributed computing enables parallel execution of smaller tasks that make up a large job. Its purpose is to reduce the job completion time. However, random fluctuations in task service times lead straggling with long times. Redundancy provides diversity allows when only subset redundant executed, thus removing dependency on tasks. Under constrained resources (here, fixed number ...

The very large infrastructure and the increasing demand of services of cloud computing systems lead to the need of an effective fault tolerant allocation technique. In this paper, we address the problem of allocating user applications to the virtual machines of cloud computing systems so that failures can be avoided in the presence of faults. We employ job replication as an effective mechanism ...

This work aims to pave the way for high availability in high-performance computing (HPC) by focusing on efficient redundancy strategies for head and service nodes. These nodes represent single points of failure and control for an entire HPC system as they render it inaccessible and unmanageable in case of a failure until repair. The presented approach introduces two distinct replication methods...

With the development of grid computing, Data Grid, as an important branch of Grid Computing focuses on supporting an efficient management mechanism for controlled sharing and large amounts of distributed data. Data intensive jobs are one major kind of jobs in Data Grid, and their scheduling strategies are regarded as one of the most important research fields. Dynamic replication in data grid ai...

Data Grid environment is a geographically distributed that deal with date-intensive application in scientific and enterprise computing. Dealing with large amount of data makes the requirement for efficiency in data access more critical. The goal of replication is to shorten the data access not only for user accesses but enhancing the job execution performance. In this paper, we proposed a new a...