A new mechanism for resource monitoring in Grid computing

Chung, Wu-Chun; Chang, Ruay-Shiung

doi:10.1016/j.future.2008.04.008

Cited by 64 publications

(28 citation statements)

References 8 publications

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“…Based on the push model, Chung et al tried to maintain the consistency between the consumers and producers through reducing the transmission of useless monitoring status, which can improve the performance of the push model at certain extent [10]. Sundaresan, et al, proposed an adaptive model to estimate the time of next update status based on the pull model, which obtain time series information using collector in order to improve the accuracy.…”

Section: Related Workmentioning

confidence: 99%

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A Data Transmission Method for Resource Monitoring under Cloud Computing Environment

Jiang¹,

Sun²,

Ding³

et al. 2015

IJGDC

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Currently, the combined push-pull model is usually applied in the resource monitoring under cloud computing environment. However, the quantity of data gathered by the producers is much less than those received by the monitor so that a lot of resource is wasted. In order to maintain the data consistency of real time system, an improved adaptive algorithm based on combined push-pull model is proposed. The adaptive strategy is added on the producers that aims to predict when refreshes data came from the monitor using the history data. Experimental result shows that the algorithm can decrease the resource consumption while exchanging data effectively.

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Section: Related Workmentioning

confidence: 99%

“…The value of QDM/QDP in the same period can indicate the collection efficiency. CE is defined as in the formula (10).…”

Section: Monitoring Metricsmentioning

confidence: 99%

A Data Transmission Method for Resource Monitoring under Cloud Computing Environment

Jiang¹,

Sun²,

Ding³

et al. 2015

IJGDC

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“…Chung et al proposed a timesensitive mechanism (TSM) to transmit resource status information [9]. The TSM is an periodic push strategy.…”

Section: Related Workmentioning

confidence: 99%

A Data Transmission Model based on Adaptive Periodic Push Strategy for IaaS Cloud Computing Platforms

Lin¹,

Yao²

2012

IJGDC

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“…It creates repository of data, knowledge, situational information, analysis artifacts, and other structured elements for the purpose of monitoring and responding to situations based on a cognitive awareness model. The work presented in [19] examined three novel data delivery protocols for resource monitoring using the push-based model: the offset-sensitive mechanism, the time-sensitive mechanism, and the hybrid mechanism. The hybrid mechanism is basically based on a dynamically adjusted update time interval, and it performs better than some of the existing protocols.…”

Section: Related Workmentioning

confidence: 99%

WiGriMMA: A Wireless Grid Monitoring Model Using Agents

Birje¹,

Manvi

2011

J Grid Computing

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The complexity, heterogeneity, device mobility and the unpredictable user behavior demands proper automation of monitoring activity in the wireless Grid to enable the user needs. Since the wireless devices can dynamically join/leave the Grid, and its state may be affected by various parameters (like the battery power, signal strength, the number of jobs submitted to it, device mobility, etc.) leading to overload state, it is essential to monitor the devices so that long term resource planning can be achieved. This paper proposes a Wireless Grid Monitoring Model using Agents (WiGriMMA) that monitor the device mobility and state, communicates the state to Grid information server (GIS), provides the resource availability information, controls the selfish users and the device state so that the device is not overloaded. The model is simulated to test its operation effectiveness considering the performance parameters such as resource availability, resource stability, device state, job execution rate, user behavior and agent overhead. The results show that the proposed WiGriMMA performs better than the existing Grid monitoring model (GridView) in terms of the resource availability, device states and the job execution rate.

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A new mechanism for resource monitoring in Grid computing

Cited by 64 publications

References 8 publications

A Data Transmission Method for Resource Monitoring under Cloud Computing Environment

A Data Transmission Method for Resource Monitoring under Cloud Computing Environment

A Data Transmission Model based on Adaptive Periodic Push Strategy for IaaS Cloud Computing Platforms

WiGriMMA: A Wireless Grid Monitoring Model Using Agents

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