Jobs In Grid Environment Research Articles

Resubmission Based Fault Tolerance Approach to Schedule Jobs in GRID Environment

Resubmission Based Fault Tolerance Approach to Schedule Jobs in GRID Environment

An Automated Parameter Tuning Method for Ant Colony Optimization for Scheduling Jobs in Grid Environment

An Automated Parameter Tuning Method for Ant Colony Optimization for Scheduling Jobs in Grid Environment

Minimizing draining waste through extending the lifetime of pilot jobs in Grid environments

The computing landscape is moving at an accelerated pace to many-core computing. Nowadays, it is not unusual to get 32 cores on a single physical node. As a consequence, there is increased pressure in the pilot systems domain to move from purely single-core scheduling and allow multi-core jobs as well. In order to allow for a gradual transition from single-core to multi-core user jobs, it is envisioned that pilot jobs will have to handle both kinds of user jobs at the same time, by requesting several cores at a time from Grid providers and then partitioning them between the user jobs at runtime. Unfortunately, the current Grid ecosystem only allows for relatively short lifetime of pilot jobs, requiring frequent draining, with the relative waste of compute resources due to varying lifetimes of the user jobs. Significantly extending the lifetime of pilot jobs is thus highly desirable, but must come without any adverse effects for the Grid resource providers. In this paper we present a mechanism, based on communication between the pilot jobs and the Grid provider, that allows for pilot jobs to run for extended periods of time when there are available resources, but also allows the Grid provider to reclaim the resources in a short amount of time when needed. We also present the experience of running a prototype system using the above mechanism on a few US-based Grid sites.

Efficient resource management for running multiple concurrent jobs in a computational grid environment

Managing resources in Grid is an intricate issue and is not possible at the application or user level. Grid provides uniform access to heterogeneous resources owned by multiple organizations. Any time a new resource can join the Grid or an existing resource can withdraw. The system loads and status of the resources also change frequently. Thus, a resource broker is an essential component in a Grid environment that can assist in the selection of a right resource provider for a job in all aspects. This paper discusses the design and implementation of resource brokering strategies within the multi-agent framework. These strategies help in finding out an optimal allocation of resources for executing multiple concurrent jobs in a Grid environment. Different stages in resource brokering and their implementation within the framework are discussed. The paper also presents results of evaluating the strategies and demonstrates their effectiveness.

그리드 환경에서 워크플로우의 서비스 매핑을 위한 메타 서비스

Many jobs in Grid environments consist of several subtasks, and these subtasks can be represented by a workflow, which is executed effectively on a Grid. In this paper, we present Meta services which describe a mapping from a service request to a workflow in Grid environments. By using Meta services, a workflow in Grid environments could adapts various service concepts such as portal services, Grid services, and Web services. And the workflow can be shared and reused among workflow users. Furthermore, historical performance data can be included in Meta services, so effective scheduling of the workflow is also possible.