Applications of Server Performance Control with Simple Network Management Protocol

Yu, Yijiao; Liu, Qin; Tan, Liansheng

doi:10.1007/978-3-540-24680-0_59

Cited by 4 publications

(13 citation statements)

References 4 publications

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“…Therefore, in our simulations the expected CPU utilization ratio u in simulation is set to be 65%. The values of a, b and c are similar to those suggested in [8,12], i.e., a = 0.5, b = 0.5, c = 0.6. To simplify the control system, we measure the rule of input requests as "pulse signal" type.…”

Section: Performance Evaluationsupporting

confidence: 79%

“…A long sampling time keeps the controller from overreacting to random fluctuations by averaging out the stochastic of the metrics, but will also yield a slow response. In order to balance these competing goals, the minimum sampling time in network control system must be larger than two special kinds of time [8]. One is the sampling time of SNMP (simple network management protocol) agent itself and the other is the Round Trip Time (RTT) between the controller and controlled device.…”

Section: Selection Of Sampling Timementioning

confidence: 99%

“…Therefore we can design a PID controller that can be better served to predict the number of maximum parallel threads in the nth interval than a simple proportional controller [7,8]. In the following, we propose the PID controller, analyze its system stability and give the specific method for tuning control gains.…”

Section: Controller Design and Stability Analysismentioning

confidence: 99%

“…As mentioned in [8,12], CPU utilization ratio between 60% and 70% is good for it to avoid damage after computing for a long time. Therefore, in our simulations the expected CPU utilization ratio u in simulation is set to be 65%.…”

Section: Performance Evaluationmentioning

confidence: 99%

See 3 more Smart Citations

A Resource-Based Server Performance Control for Grid Computing Systems

Xiong

Défago

et al. 2005

Lecture Notes in Computer Science

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Abstract.With the rapid advances in Internet and Grid technique, an increasing number of applications will involve computing systems. These applications in turn create an increasing demand for efficient resource management, request handling policies and admission control. In this paper, we propose an efficient admission control algorithm to protect the critical resource of server and improve the performance of the computing system. Stability of CPU utilization is aimed to protect the server from overload and under-load. It is then beneficial to keep a satisfactory response time of requests, high throughput and less potential loss of service. We analyze the stability in detail and present a method for tuning control gains in order to guarantee the system stability. Finally, we perform simulations to evaluate the performance of the proposed algorithm. Simulation results demonstrate that the proposed algorithm stabilizes the utilization of CPU in the computing system if the control gains are appropriately chosen on the basis of system stability. It then achieves satisfactory performance.

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Section: Performance Evaluationsupporting

confidence: 79%

Section: Selection Of Sampling Timementioning

confidence: 99%

Section: Controller Design and Stability Analysismentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

A Resource-Based Server Performance Control for Grid Computing Systems

Xiong

Défago

et al. 2005

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…A long sampling time keeps the controller from overreacting to random fluctuations by averaging out the stochastic of the metrics, but will also yield a slow response. In order to balance these competing goals, the minimum sampling time in network control system must be larger than two special kinds of time [10]. One is the sampling time of SNMP (simple network management protocol) agent itself and the other is the Round Trip Time (RTT) between the controller and controlled device.…”

Section: Selection Of Sampling Timementioning

confidence: 99%

Towards a Performance-Based Resource Server Access Control in Future Grid Communication Environments

Xiong

Yang

Park

et al. 2008

Wireless Pers Commun

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With the rapid advances in communication and networking, especially in Grid technique, an increasing number of applications will involve computing systems. These applications in turn create an increasing demand for efficient resource management, request handling policies and access control. In this paper, we propose an efficient access control algorithm to protect the critical resource of server and improve the performance of the future grid communication computing system. Stability of CPU utilization is aimed to protect the server from overload and under-load. It is then beneficial to keep a satisfactory response time of requests, high throughput and less potential loss of service. We analyze the stability in detail and present a method for tuning control gains in order to guarantee the system stability. Finally, we perform simulations to evaluate the performance of the proposed algorithm. Simulation results demonstrate that the proposed algorithm stabilizes the utilization of CPU in the computing system if the control gains are appropriately chosen on the basis of system stability. It then achieves satisfactory performance.

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Discourage free riding in Peer-to-Peer file sharing systems with file migration and workload balancing approach

Jin

2007

Front. Comput. Sc. China

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Free riding is a great challenge to the development and maintenance of Peer-to-Peer (P2P) networks. A file migration and workload balancing based approach (FMWBBA) to discourage free riding is proposed in this paper. The heart of our mechanism is to migrate some shared files from the overloaded peers to the neighboring free riders automatically and transparently, which enforces free riders to offer services when altruistic peers are heavily overloaded. File migration is a key issue in our approach, and some related strategies are discussed. A simulation is designed to verify this approach, and the results show that it can not only alleviate free riding, but also improve the Quality of Service (QoS) and robustness of P2P networks efficiently.

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Applications of Server Performance Control with Simple Network Management Protocol

Cited by 4 publications

References 4 publications

A Resource-Based Server Performance Control for Grid Computing Systems

A Resource-Based Server Performance Control for Grid Computing Systems

Towards a Performance-Based Resource Server Access Control in Future Grid Communication Environments

Discourage free riding in Peer-to-Peer file sharing systems with file migration and workload balancing approach

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