Self-adapting, self-optimizing runtime management of Grid applications using PRAGMA

Zhu, Huabing; Parashar, Manish; Yang, Jung‐Seok; Zhang, Y.; Rao, S.; Hariri, Salim

doi:10.1109/ipdps.2003.1213382

Cited by 12 publications

(6 citation statements)

References 9 publications

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“…Autonomic adaptation Many recent research efforts on autonomic computing have studied runtime adaptive capabilities of systems [3,7,14,21,30,34]. Most of the work aims at load balancing in the autonomic system, by integrating adaptive behaviors (migration, insertion,deletion,replacement, among others) into each agent.…”

Section: Related Workmentioning

confidence: 99%

“…Most of the work aims at load balancing in the autonomic system, by integrating adaptive behaviors (migration, insertion,deletion,replacement, among others) into each agent. Zhu et al [34] proposed a framework to enable self-adaptation and self-optimization on dynamically adaptive applications, specifically, structured adaptive mesh refinement applications (SAMR). They estimate performance function based on experimental and analytical techniques to balance load across processors.…”

Section: Related Workmentioning

confidence: 99%

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An adaptive middleware for supporting time-critical event response

Zhu

Agrawal

2008

Cluster Comput

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There are many applications where a timely response to an important event is needed. Often such response can require significant computation and possibly communication, and it can be very challenging to complete it within the time-frame the response is needed. At the same time, there could be application-specific flexibility in the computation that may be desired.This paper presents the design, implementation, and evaluation of a middleware that can support such applications. Each of the services in our target applications could have one or more service parameters, which can be modified, within the pre-specified ranges, by the middleware. The middleware enables the time-critical event handling to achieve the maximum benefit, as per the user-defined benefit function, while satisfying the time constraint. Our middleware is also based on the existing Grid infrastructure and ServiceOriented Architecture (SOA) concepts. We have evaluated our middleware and its support for adaptation using a volume rendering application and a Great Lake forecasting application. The evaluation shows that our adaptation is effective, and has a very low overhead.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An adaptive middleware for supporting time-critical event response

Zhu

Agrawal

2008

Cluster Comput

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“…The presented self-optimization differs from state of the art load balancing mechanisms [5,9] in two important points: first, no additional messages are used for the selfoptimization except those needed for the transfer of the services and second, the load information is collected only locally. Furthermore there is no central instance that coordinates the self-optimization process.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Self-optimization in Distributed Dynamic Environments

Trumler

Pietzowski

Satzger

et al. 2007

First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007)

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Grid and ubiquitous computing systems generally consist of a large number of networked nodes with applications implemented as distributed services or processes, respectively. A crucial point is the distribution of the services to balance the load within the system during runtime.In a former work we developed a self-optimization mechanism which shows outstanding performance in static environments where the services do not change their resource consumptions (e.g. CPU, memory, communication bandwidth). In this paper we present simulation results for the self-optimization within dynamic environments where the services change their load during runtime.

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“…Performance Functions (PF) (8) describe the behavior of a system or application in terms of changes in one or more of its attributes. The execution time of a computation-intensive program increases linearly with the number of jobs sharing the same processor.…”

Section: Cpu-based Runtime Partitioningmentioning

confidence: 99%

Investigating Autonomic Runtime Management Strategies for SAMR Applications

Chandra

Parashar

Yang

et al. 2005

Int J Parallel Prog

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Dynamic structured adaptive mesh refinement (SAMR) techniques along with the emergence of the computational Grid offer the potential for realistic scientific and engineering simulations of complex physical phenomena. However, the inherent dynamic nature of SAMR applications coupled with the heterogeneity and dynamism of the underlying Grid environment present significant research challenges. This paper presents application/system sensitive reactive and proactive partitioning strategies that form a part of the GridARM autonomic runtime management framework. An evaluation using different SAMR kernels and system workloads is presented to demonstrate the improvement in overall application performance.KEY WORDS: GridARM autonomic runtime management framework; structured adaptive mesh refinement; application/system sensitive reactive and proactive partitioning.

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Self-adapting, self-optimizing runtime management of Grid applications using PRAGMA

Cited by 12 publications

References 9 publications

An adaptive middleware for supporting time-critical event response

An adaptive middleware for supporting time-critical event response

Adaptive Self-optimization in Distributed Dynamic Environments

Investigating Autonomic Runtime Management Strategies for SAMR Applications

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