Developing an online database of experts for the Worcester Regional Chamber of Commerce

The Worcester Regional Chamber of Commerce as part of their mission to attract business to the Worcester area, want to create an online searchable database of industry experts made up of faculty members of the Colleges and Universities in the Worcester area. This online database will be placed on the Worcester Regional Chamber of Commerce Higher Education – Business Partnership page on their website. The limitations placed on this request are that the Regional Chamber as of this moment have no monetary or Information Technologies resources to provide for the realization of this request. The proliferation of as A Service Information technology offerings provide a number of options for satisfying the request for an online searchable database of individuals, and some services are geared more specifically for this type of need and are intended for the nonprofit sector as well. The recommendation of this report is for the Worcester regional Chamber of Commerce to consider these options even if it requires a small investment of funds on their part

Auto-tuning Distributed Stream Processing Systems using Reinforcement Learning

Fine tuning distributed systems is considered to be a craftsmanship, relying on intuition and experience. This becomes even more challenging when the systems need to react in near real time, as streaming engines have to do to maintain pre-agreed service quality metrics. In this article, we present an automated approach that builds on a combination of supervised and reinforcement learning methods to recommend the most appropriate lever configurations based on previous load. With this, streaming engines can be automatically tuned without requiring a human to determine the right way and proper time to deploy them. This opens the door to new configurations that are not being applied today since the complexity of managing these systems has surpassed the abilities of human experts. We show how reinforcement learning systems can find substantially better configurations in less time than their human counterparts and adapt to changing workloads

Bit-to-board analysis for IT decision making

Verhoef, C. [Promotor]Peters, R.J. [Copromotor

Analyzing and Developing Technique for Mining Very Large Databases to Support Knowledge Exploration

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Pembuatan Tools Pemantauan Kinerja Basis Data SQL Server Berbasis Web (Studi Kasus: pantau.its.ac.id)

Basis data merupakan teknologi yang sudah menjadi bagian penting bagi suatu organisasi maupun pelaku bisnis. Basis data merupakan kumpulan data yang disimpan di dalam komputer secara sistematis sehingga mudah diakses, dikelola, dan diperbarui. Secara umum, terdapat tiga aktor utama dalam penggunaan basis data, yaitu administrator basis data (DBA), satu atau lebih pengembang aplikasi, dan pengguna. Seorang administrator basis data bertugas untuk mengatur seluruh aktivitas yang berkaitan dengan optimalisasi kinerja basis data. Salah satu cara untuk menentukan apakah basis data sudah bekerja secara optimal adalah dengan melakukan pemantauan kinerja basis data. Beberapa vendor DBMS sudah menyediakan tools ini yang sudah termasuk di dalam produk yang mereka sediakan. Selain itu, ada pihak luar yang menyediakan tools pemantauan kinerja basis data ini secara terpisah dan mendukung multi-platform. Insitut Teknologi Sepuluh Nopember (ITS) memiliki sebuah sistem berbasis web yang berfungsi untuk memantau seluruh aktivitas aplikasi yang digunakan di lingkungan ITS termasuk basis data, yang memiliki alamat pantau.its.ac.id. Akan tetapi belum terdapat fungsi pemantauan yang memberikan informasi terkait kinerja basis data. Penelitian ini bertujuan untuk membuat tools pemantauan kinerja basis data berbasis web untuk diimplementasikan pada sistem pantau.its.ac.id sehingga memudahkan DPTSI sebagai pihak yang mengelola sistem basis data untuk mendapatkan informasi terkait kinerja basis data dan menentukan langkah yang harus dilakukan agar mendapatkan kinerja basis data yang efisien dan optimal. Melalui proses pembuatan hingga penggujian didapatkan kesimpulan bahwa metrik-metrik yang digunakan dapat diimplementasikan pada sistem berbasis web, dan sistem yang dibuat dapat menyesuaikan dengan versi basis data yang berbeda. =============================================================================================== Database is a technology that has become an important part for an organization or business. The database is a collection of data stored in the computer systematically so easily accessible, managed, and updated. In general, there are three main actors in database usage, the database administrators (DBA), one or more application developers, and users. A database administrator is tasked with managing all activities related to database performance optimization. One way to determine whether the database is working optimally is to perform database performance monitoring. Some DBMS vendors already provide these tools that are included in their products. In addition, there are another company provide these database performance monitoring tools separately and support multi-platform. Tenth Nopember Institute of Technology (ITS) has a web-based system that can monitor all application activities that used in ITS environment including the database, which has address pantau.its.ac.id. However, there is no monitoring function that provides information related to database performance. This final project aims to create a web-based database performance monitoring tool that can be implemented on pantau.its.ac.id so as to facilitate DPTSI as department that manages the database system to get information related to database performance and determine the steps to be done in order to get the performance with efficient and optimal data usage. Through the process of making up to the testers it can be concluded that the metrics used can be implemented on a web-based system, and the system created can adapt to different database version

Letter from the Special Issue Editor

Editorial work for DEBULL on a special issue on data management on Storage Class Memory (SCM) technologies

Sixth Goddard Conference on Mass Storage Systems and Technologies Held in Cooperation with the Fifteenth IEEE Symposium on Mass Storage Systems

This document contains copies of those technical papers received in time for publication prior to the Sixth Goddard Conference on Mass Storage Systems and Technologies which is being held in cooperation with the Fifteenth IEEE Symposium on Mass Storage Systems at the University of Maryland-University College Inn and Conference Center March 23-26, 1998. As one of an ongoing series, this Conference continues to provide a forum for discussion of issues relevant to the management of large volumes of data. The Conference encourages all interested organizations to discuss long term mass storage requirements and experiences in fielding solutions. Emphasis is on current and future practical solutions addressing issues in data management, storage systems and media, data acquisition, long term retention of data, and data distribution. This year's discussion topics include architecture, tape optimization, new technology, performance, standards, site reports, vendor solutions. Tutorials will be available on shared file systems, file system backups, data mining, and the dynamics of obsolescence