dipl.-Ing. Deniz Cengiz

The cloud providers actually have the physical data centers to provide virtualized services to their users through Internet. The cloud providers often provide separation between application and data. This scenario is shown in the Figure 2. The underlying physical machines are generally organized in grids and they are usually geographically distributed. Virtualization plays an important role in the cloud scenario. The data center hosts provide the physical hardware on which virtual machines resides. User potentially can use any OS supported by the virtual machines used.  Operating systems are designed for specific hardware and software. It results in the lack of portability of operating system and software from one machine to another machine which uses different instruction set architecture. The concept of virtual machine solves this problem by acting as an interface between the hardware and the operating system called as system VMs . Another category of virtual machine is called

Including Big and Unstructured Data  Decision support within various tasks in industrial businesses typically needs to consider both economical as well as technical aspects—with the latter often coming in extremely detailed and high-dimensional form (e.g. geometric data). Usually, the respective types of analyses also require the consideration of information that is only available in a semi-structured or unstructured form, e.g. service reports that sketch technical and geometric specifications in quality protocols or technical drawings. A comprehensive framework for BI in the manufacturing sector therefore needs to include both: an integrated presentation interface to connect structured and unstructured data as well as analytics of structured descriptions (meta data) to unstructured files. Given the sheer volume of the resulting data repositories and the need to also include Internet data for the reconciliation of decisions with customer and market trends, the potential of an i

IT Systems Within the Product Lifecycle  Industrial companies are characterized by developing, designing, and manufacturing physical goods. While technological leaders create more and more complex products that are sold in bundles with non-material extensions like services and maintenance, the actual products are still of a physical nature and require intricate development and manufacturing processes in which expertise from several domains needs to be brought together . For example, technical goods are regularly composed of mechanical engineering, software- and electronic-based components, as well as fluid or electric power modules. Each of those domains comes with specific tasks and needs specific IT support. Three examples illustrate this: CAD systems, simulation, and production control. As for CAD , mechanical design, electronic design, as well as the fabric layout planning all apply Computer Aided Design (CAD) systems to build Digital Mock Ups (DMUs). The concrete functio

Closing the Gap Between IT Support for Management and for Production. Globalization, scarcity of natural resources, complexity, and the powerful rise of the BRICS economies are the biggest challenges for the leading industrialized countries. For these nations, the major tasks for the next 20 years will be securing versatile production capabilities, resource efficient engineering environments, and a consequent time-to-market delivery of highly sophisticated industrial products. In order to cope with these challenges, engineers are concentrating their research activities on complex concepts like the “Digital Factory” or “Intelligent Production Systems” as well as on introducing a variety of systems for steering and controlling their specific, production oriented operational processes. The main objective of these measures is to fully digitalize and integrate all processes of the product lifecycle and across supply chains . In these contexts, large volumes of data are generat

IT project management is the process of planning, organizing and delineating responsibility for the completion of an  organizations' specific information technology (IT) goals. IT project management includes overseeing projects for software development, hardware installations, network upgrades, cloud computing and virtualization rollouts, business analytics and data management projects and implementing IT services.  In addition to the normal problems that can cause a project to fail, factors that can negatively affect the success of an IT  project include advances in technology during the project's execution, infrastructure changes that impact security and data management and unknown dependent relationships among hardware, software, network infrastructure and data. IT projects may also succumb to the first-time, first-use penalty which represents the total risk an organization assumes when implementing a new technology for the first time. Because the technology hasn’t

Resource sharing in a pure plug and play model that dramatically simplifies infrastructure planning is the promise of „cloud computing‟. The two key advantages of this model are easeof-use and cost-effectiveness. Though there remain questions on aspects such as security and vendor lock-in, the benefits this model offers are many. This paper explores some of the basics of cloud computing with the aim of introducing aspects such as: Realities and risks of the model  Components in the model  Characteristics and Usage of the model  The paper aims to provide a means of understanding the model and exploring options available for complementing your technology and infrastructure needs. An Overview Cloud computing is a computing paradigm, where a large pool of systems are connected in private or public networks, to provide dynamically scalable infrastructure for application, data and file storage. With the advent of this technology, the cost of computation, application hosting, c