Y. Lu, T. F. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for QoS guarantees and its application to differentiated caching services. In Proc. 10th Intl. Workshop on Quality of Service, 2002.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....techniques for dynamic resource allocation; our model and allocation techniques are applicable to many scenarios where the underlying system or resource can be abstracted using GPS. Recently adaptive techniques for web servers based on a control theoretic approach have been proposed [1] 19] [21], 27] Most of these techniques (with the exception of [21] use a pre determined system model. In contrast, 11 0 20 40 60 80 100 120 ( svc rate) Time (min) Application 1 Application 2 Total 0 0.2 0.4 0.6 0.8 1 Time (min) Application 1 Application 2 Fig. 11. The workload ....

....allocation techniques are applicable to many scenarios where the underlying system or resource can be abstracted using GPS. Recently adaptive techniques for web servers based on a control theoretic approach have been proposed [1] 19] 21] 27] Most of these techniques (with the exception of [21]) use a pre determined system model. In contrast, 11 0 20 40 60 80 100 120 ( svc rate) Time (min) Application 1 Application 2 Total 0 0.2 0.4 0.6 0.8 1 Time (min) Application 1 Application 2 Fig. 11. The workload and the resulting allocations in the presence of varying ....

Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services. In Proceedings of the Tenth International Workshop on Quality of Service (IWQoS 2002.

....techniques for dynamic resource allocation; our model and allocation techniques are applicable to many scenarios where the underlying system or resource can be abstracted using GPS. Recently adaptive techniques for web servers based on a control theoretic approach have been proposed [1] 19] [21], 27] Most of these techniques (with the exception of [21] use a pre determined system model. In contrast, 11 0 20 40 60 80 100 120 ( svc rate) Time (min) Application 1 Application 2 Total 0 0.2 0.4 0.6 0.8 1 Time (min) Application 1 Application 2 Fig. 11. The workload ....

....allocation techniques are applicable to many scenarios where the underlying system or resource can be abstracted using GPS. Recently adaptive techniques for web servers based on a control theoretic approach have been proposed [1] 19] 21] 27] Most of these techniques (with the exception of [21]) use a pre determined system model. In contrast, 11 0 20 40 60 80 100 120 ( svc rate) Time (min) Application 1 Application 2 Total 0 0.2 0.4 0.6 0.8 1 Time (min) Application 1 Application 2 Fig. 11. The workload and the resulting allocations in the presence of varying ....

Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services. In Proceedings of the Tenth International Workshop on Quality of Service (IWQoS 2002.

....12] These resource management tech niques focus on CPU, network bandwidth, and software resources such as number of processes. As explained in Section 1, these resource management techniques cannot be directly employed for cache allocation. Cache partitioning techniques have been investigated in [6, 9]. The objective of cache partitioning in [6] is to allocate the file system cache among multiple disks, some slower than others, such that the average cost of a miss in the cache is minimized. However, parti tioning to provide service differentiation is not considered. In [9] an algorithm for ....

....investigated in [6, 9] The objective of cache partitioning in [6] is to allocate the file system cache among multiple disks, some slower than others, such that the average cost of a miss in the cache is minimized. However, parti tioning to provide service differentiation is not considered. In [9] an algorithm for partitioning a web cache between multiple classes is considered. The objective is to partition the cache such that the ratio of the hit rate between any two classes is as specified. The objective of our cache allocation algorithm, in contrast, is to meet the response time ....

Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for QoS guarantees and its application to differentiated caching services. In Proc. Tenth Int. Workshop on Quality of Service, 2002.

....the high density and large scale features of sensor networks give us an opportunity to achieve a predictable overall behavior through the aggregation among nodes. Since the control based methods are excel in converging the unpredictability into a desired performance, a lot of research [65] 66][67][90] 111] recently focuses on the approaches to model the target systems from the control perspective and applying standard control methods to regulate and guarantee system performances. In [65] C.Y.Lu etc. al. propose a framework for feedback based scheduling in which a low miss ratio of the ....

....computation nodes. In this scheme, a high level distributed controller sets a global QoS service level according to the amount of incoming tasks, and the low level controllers residing in each computation node follow this QoS level dynamically in order to achieve a zero miss ratio. Moreover, Y. Lu [67] applies the control theory to a differentiated caching service in order to increase cache content hit rate. This scheme eliminates the cost of profiling and configuration by using an adaptive control method in face of unpredictable resource demands. 20 B. Appendix B B.1 Publications under ....

Y. Lu, C. Lu, T. Abdelzaher, G. Tao, "An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services", In Proceedings of IWQoS, Miami Beach, FL, May 2002.

....as multiple service classes offering different degrees of QoS guarantees, but does not address the details of object replacement. Lu et al. proposes the provisioning of differentiated caching services based on control theoretical resource allocation and is most closely related to our work [2,30]. Specifically, it enforces the desired ratios between the hit rates (but not absolute ones) of the various classes by means of per class feedback control loops. Adaptive control theory is used for automating controller ttming, eliminating the need for human interaction. The lack of ....

Y. Lu, T. Abdelzaher, C. Lu and G. Tao. An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services. International Workshop on Quality of Service, Miami Beach FL, May 2002.

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Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for qos guarantees and its application to differentiated caching services. In 10th International Workshop on Quality of Service, Miami Beach, FL, May 2002.

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Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for qos guarantees and its application to differentiated caching services, 2002.

....differentiation, based on analytically derived and experimentally verified dynamic models of web cache systems. In [13] we decomposed the control problem into that of multiple single input, single output (SISO) fixed parameter control loops. To compensate system parameter uncertainties, in [12] we applied an adaptive control scheme which was experimentally shown to be capable of providing certain desired degree of differentiation to two classes of content. In our current work, we investigate the general case when there are more than two content classes for which guaranteed service ....

....to clients that need them reduces the number of web server requests, the traffic associated with them, and the response time seen by the clients. The efficiency of the cache is measured by the hit rate, H, the rate at which valid requests can be satisfied without contacting the web server. In [12], 13] we developed a differentiated proxy caching services and proposed a resource management architecture for proxy caches that allows different classes of content to receive different performance (hit rate) levels. Our goal is to use feedback control to provide proportional differentiation on ....

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Lu, Y., T. Abdelzaher, C. Y. Lu and G. Tao, "An adaptive control framework for QoS guarantees and its application to differentiated caching services," submitted to the 2002 International Workshop on Quality of Service.

....differentiation, based on analytically derived and experimentally verified dynamic models of web cache systems. In [11] we decomposed the control problem into that of multiple single input, single output (SISO) fixed parameter control loops. To compensate system parameter uncertainties, in [10] we applied an adaptive control scheme which was experimentally shown to be capable of providing certain desired degree of differentiation to two classes of content. In our current work, we investigate the general case when there are more than two content classes for which guaranteed service ....

....reduces the number of web server requests, the traffic associated with them, and the response time seen by the clients. The efficiency of the cache is measured by the hit rate, H, the rate at which valid requests can be satisfied without contacting the web server which is dynamic in nature. In [10], 11] we developed a differentiated proxy caching services and proposed a resource management architecture for proxy caches that allows different classes of content to receive different performance (hit rate) levels. Our goal is to use feedback control to provide proportional differentiation on ....

[Article contains additional citation context not shown here]

Lu, Y., T. Abdelzaher, C. Y. Lu and G. Tao, "An adaptive control framework for QoS guarantees and its application to differentiated caching services, " the 2002.

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Y. Lu, T. F. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for QoS guarantees and its application to differentiated caching services. In Proc. 10th Intl. Workshop on Quality of Service, 2002.

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Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for QoS guarantees and its application to differentiated caching services. In International Workshop on Quality of Service (IWQoS), pages 23--32, Miami Beach, FL, May 2002.

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Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services. In Proceedings of the Tenth International Workshop on Quality of Service (IWQoS 2002), May 2002.

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Y. Lu, T. F. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for QoS guarantees and its application to differentiated caching services. In Proceedings of the 10th International Workshop on Quality of Service, 2002.

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Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for QoS guarantees and its application to differentiated caching services. In International Workshop on Quality of Service (IWQoS), pages 23--32, Miami Beach, FL, May 2002.

No context found.

Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An adaptive control framework for QoS guarantees and its application to differentiated caching services. In International Workshop on Quality of Service (IWQoS), pages 23--32, Miami Beach, FL, May 2002.

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Y. Lu, T. Abdelzaher, C. Lu, and G. Tao, \An adaptive control framework for qos guarantees and its application to dierential caching services," in 10th IEEE International Workshop on Quality of Service, pp. 23-32, 2002.

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Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services. In Proceedings of the Tenth International Workshop on Quality of Service (IWQoS 2002.

No context found.

Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services. In Proceedings of the Tenth International Workshop on Quality of Service (IWQoS 2002.

No context found.

Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services. In Proceedings of the Tenth International Workshop on Quality of Service (IWQoS 2002.

No context found.

Y. Lu, T. Abdelzaher, C. Lu, and G. Tao. An Adaptive Control Framework for QoS Guarantees and its Application to Differentiated Caching Services. In Proceedings of the Tenth International Workshop on Quality of Service (IWQoS 2002), May 2002.

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