Analysis and Provision of QoS for Distributed Grid Applications

Al‐Ali, Rashid; Amin, Kaizar; Laszewski, Gregor von; Rana, Omer F.; Walker, David W.; Hategan, Mihael; Zaluzec, Nestor J.

doi:10.1007/s10723-004-6743-8

Cited by 94 publications

(53 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Service level agreements (SLAs) are the standard to represent the agreed constraints between service consumers and service providers on a grid [2]. SLAs by themselves do not provide scheduling solutions, but allow expressing flexible requirements and incorporating multicriteria approaches.…”

Section: Related Workmentioning

confidence: 99%

Scheduling for Responsive Grids

Germain-Renaud

Loomis²,

Mościcki

et al. 2007

J Grid Computing

View full text Add to dashboard Cite

Abstract. Grids are facing the challenge of seamless integration of the grid power into everyday use. One critical component for this integration is responsiveness, the capacity to support on-demand computing and interactivity. Grid scheduling is involved at two levels in order to provide responsiveness: the policy level and the implementation level. The main contributions of this paper are as follows. First, we present a detailed analysis of the performance of the EGEE grid with respect to responsiveness. Second, we examine two user-level schedulers located between the general scheduling layer and the application layer. These are the DIANE (DIstributed ANalysis Environment) framework, a general-purpose overlay system, and a specialized, embedded scheduler for gPTM3D, an interactive medical image analysis application. Finally, we define and demonstrate a virtualization scheme, which achieves guaranteed turnaround time, schedulability analysis, and provides the basis for differentiated services. Both methods target a brokering-based system organized as a federation of batch-scheduled clusters, and an EGEE implementation is described.

show abstract

Section: Related Workmentioning

confidence: 99%

Scheduling for Responsive Grids

Germain-Renaud

Loomis²,

Mościcki

et al. 2007

J Grid Computing

View full text Add to dashboard Cite

show abstract

“…The first type of solution is to guarantee the QoS by resource reservation and scheduling, based on the Service Level Agreements (SLAs) [2,5]. The basic idea is to ensure that a task has a corresponding resource usage privilege during a particular duration.…”

Section: B Related Workmentioning

confidence: 99%

Committee-based evaluation and selection of Grid resources for QoS improvement

Wang

Cao

2009

2009 10th IEEE/ACM International Conference on Grid Computing

View full text Add to dashboard Cite

Abstract-The grid enables the facility of distributed resource sharing but can provide limited QoS guarantee to grid applications, e.g. in terms of execution time. In this paper, we propose a Committee-based Resource Evaluation and Selection Method (CRESM) to evaluate and select reliable resources for Users, which have higher possibility of finishing tasks in time and provide better QoS. CRESM is composed with a representative layer and a committee layer. The representative layer consists of informed and experienced Users who contribute their individual experiences to judge a particular grid resource. The committee layer aggregates these individual judgments and makes a comprehensive decision based on these aggregated information. All the judgments and the final decision are made fuzzily based on historical statistics of resource evaluation. Experimental results show that CRESM is stable and accurate in different grid environments. CRESM can also defeat collusive deceitful behaviors. Meanwhile, CRESM based resource scheduling can improve QoS support for grid applications.

show abstract

“…Network resources and metrics of interest include bandwidth, throughput, as well as delay and loss figures. Emphasis is put on the capacity, utilization and availability statistics on particular links, interfaces and routing paths (e.g., [6]). …”

Section: Network Qosmentioning

confidence: 99%

“…The notion of QoS and related metrics is familiar to the networking community, since it is an integral component of broadband networks. Nevertheless, Grid QoS is not confined to networking QoS, but extends to middleware and application level QoS [6]. Our framework for programmable operations covers all levels and focuses on resource management.…”

Section: Introductionmentioning

confidence: 99%

Programmable Grids Framework Enabling QoS in an OGSA Context

Soldatos

Polymenakos

Kormentzas

2004

Computational Science - ICCS 2004

View full text Add to dashboard Cite

Abstract. Configuring, monitoring and guaranteeing service levels is a key prerequisite towards supporting the wave of emerging Grid computing applications, especially those relating to e-business. Managing QoS across a Grid infrastructure is particularly complex since QoS must be addressed at three different levels: network, middleware and application. Programmable Grids extend programmable networks concepts to Grid infrastructures and can alleviate this complexity. In this paper we elaborate on the importance of network, middleware and application level QoS, and accordingly provide a framework for designing and implementing programmable APIs that can handle QoS. The framework leverages the structure and properties of OGSA services, while exploiting functionality of OGSI containers. Moreover, early implementation experiences with this framework and Globus (GT3) are reported.

show abstract

Analysis and Provision of QoS for Distributed Grid Applications

Cited by 94 publications

References 19 publications

Scheduling for Responsive Grids

Scheduling for Responsive Grids

Committee-based evaluation and selection of Grid resources for QoS improvement

Programmable Grids Framework Enabling QoS in an OGSA Context

Contact Info

Product

Resources

About