Aggregate matrix-analytic techniques and their applications

The complexity of computer systems affects the complexity of modeling techniques that can be used for their performance analysis. In this dissertation, we develop a set of techniques that are based on tractable analytic models and enable efficient performance analysis of computer systems. Our approach is three pronged: first, we propose new techniques to parameterize measurement data with Markovian-based stochastic processes that can be further used as input into queueing systems; second, we propose new methods to efficiently solve complex queueing models; and third, we use the proposed methods to evaluate the performance of clustered Web servers and propose new load balancing policies based on this analysis.;We devise two new techniques for fitting measurement data that exhibit high variability into Phase-type (PH) distributions. These techniques apply known fitting algorithms in a divide-and-conquer fashion. We evaluate the accuracy of our methods from both the statistics and the queueing systems perspective. In addition, we propose a new methodology for fitting measurement data that exhibit long-range dependence into Markovian Arrival Processes (MAPs).;We propose a new methodology, ETAQA, for the exact solution of M/G/1-type processes, (GI/M/1-type processes, and their intersection, i.e., quasi birth-death (QBD) processes. ETAQA computes an aggregate steady state probability distribution and a set of measures of interest. E TAQA is numerically stable and computationally superior to alternative solution methods. Apart from ETAQA, we propose a new methodology for the exact solution of a class of GI/G/1-type processes based on aggregation/decomposition.;Finally, we demonstrate the applicability of the proposed techniques by evaluating load balancing policies in clustered Web servers. We address the high variability in the service process of Web servers by dedicating the servers of a cluster to requests of similar sizes and propose new, content-aware load balancing policies. Detailed analysis shows that the proposed policies achieve high user-perceived performance and, by continuously adapting their scheduling parameters to the current workload characteristics, provide good performance under conditions of transient overload

IMPLEMENTASI MANAJEMEN PEMBELAJARAN PSIKOLOGI PENDIDIKAN DI SEKOLAH TINGGI PEKANBARU

Abstract: Manajemen pembelajaran di ranah perguruan tinggi tidaklah banyak disorot, mengingat pengelolaan manajemen sudah mengikuti setiap prosedur yang berlaku, baik itu terkait kurikulum, tenaga pendidik, dan tenaga kependidikan. Manajemen pembelajaran psikologi pendidikan idealnya melalaui perencanaan yang matang dan mengikuti hasil need assessment sebelumnya. Menggunakan pendekatan kualitatif dengan mengmpulkan data melalui wawancara, observasi maka  implementasi manajemen pembelajaran psikologi pendidikan merupakan aplikasi dari aspek manajemen yang terdiri dari perencanaan pembelajaran yang telah dibuat oleh tenaga pendidik sebelumnya. Proses perencanan, pelaksanaan serta evaluasi dilakukan secara berkala setiap bulan untuk menilai proses perencaan dan pelaksanaan yang telah dilakukan. Implementasi manajemen pembelajaran Psikologi Pendidikan di  dilakukan dengan strategi beragam seperti metode ceramah, metode diskusi, yang dalam proses pelaksanaannya masih terdapat ketidakkonsistenan, dimana dalam silabus dan RPP disebutkan bahwa penggunaan metode pembelajaran Psikologi Pendidikan terdiri dari metode ceramah, tanya jawab, diskusi, pemberian tugas, inquiry, demonstrasi, dan percobaan (eksperimen).Kata kunci : implementasi, pembelajaran, sekolah tingg

Pengembangan Video Latihan Gerak Dasar Aquatik

This research is development research. This research design uses the ADDIE development model which consists of five stages, namely analysis, design, development, implementation and evaluation. The sample for this research is prospective aquatik athletes in South Kalimantan. This research uses a simple random sampling technique. The data analysis technique in this research is a quantitative descriptive analysis technique with percentages. The results of this research were that at the small trial stage carried out on 10 people, the results were 82.7% in the very good category. At the large trial stage carried out on 30 people, results were obtained in the very good category. The response of the trainer who assessed the development of the training video as many as 3 people revealed that this video could be used as an alternative initial training by observing the movements carried out before the user gets into the swimming pool. Conclusion this training video is useful for use in the training process, especially for prospective beginner athletes and for people who still need basic mastery of aquatik movements. Keywords: Aquatik, Development, Models, Sports

Managing Overload Via Adaptive Scheduling

In this paper, we propose a new adaptive disk scheduling algorithm that assists a disk to maintain its performance while operating in overload. The new scheduling algorithm adapts its parameters to the current load conditions and achieves the best overall performance for low, medium, and high load while maintaining close to optimal performance for overload conditions

Disk drive level workload characterization

In this paper, we present a characterization of disk drive workloads measured in systems representing the enterprise, desktop, and consumer electronics environments. We observe that the common characteristics across all traces are disk drive idleness and workload burstiness. Our analysis shows that the majority of characteristics, including request disk arrival rate, response time, service time, WRITE performance, and request size, are environment dependent. However, characteristics such as READ/WRITE ratio and access pattern are application dependent.