This document describes the concepts, architecture and implementation topologies of GemFire Enterprise, a core component of the GemFire Enterprise Data Fabric (EDF). This is targeted at technical architects and developers evaluating or implementing the GemFire Enterprise. It addresses some

traces collected on 36 servers in an enterprise data center. Since these traces were collected in an open-loop environment, we use a simple queuing algorithm to simulate the closed-loop CPU usage under dynamic control of CPU allocation. We also study the controllers by emulating the utilization traces

Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. The problem of designing data integration systems is important in current real world applications, and is characterized by a number of issues

The central proposal of this article is that verbal reports are data. Accounting for verbal reports, as for other kinds of data, requires explication of the mech-anisms by which the reports are generated, and the ways in which they are sensitive to experimental factors (instructions, tasks, etc

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Decision support for virtual machine

Cloud computing provides way to share information. This Information is secured at cloud ends only. Any third party intruder may hack confidential information. While outsourcing its business-critical data and computations to the cloud, an enterprise loses control over them. How should

We investigate the determinants of capital structure choice by analyzing the financing decisions of public firms in the major industrialized countries. At an aggregate level, firm leverage is fairly similar across the G-7 countries. We find that factors identified by previous studies as correlated in the cross-section with firm leverage in the U.S., are similarly correlated in other countries as well. However, a deeper examination of the U.S. and foreign evidence suggests that the theoretical underpinnings of the observed correlations are still largely unresolved.

Abstract. Yet, persistence of redundant data in Data Warehouses is often simply justified with an achievement of better performance when accessing data for analysis and reporting. Especially in Enterprise Data Warehouse systems, data management via multiple persistence levels is necessary