Informatics Engineering

Because of the rise of LAN-based cluster computing and WAN-based meta-computing, the Grid computing is a good solution. Because of the need to prepare a secured, managed, and integrated modeling environment of the Grid, many technologies like OGSA and NextGrid are discovered. Because of the need of high throughput computing, P2P Grid is came to solve this issue. Because of the need of multi-tenancy in the same architecture, Cloud is solution. But what about the reliability and high performance of the peers in the P2P network? Did all of the servers belong to the applications´ owner?. In the other hand, the Cloud can achieve that, but how much we have to pay?. In this survey we introduce an analysis of integrity and scalability in NextGrid, reliability and high performance in P2P using Grid5000 with P2PDC and dpref, and cost efficiency of cloud using 3 scientific work flows Wien2k, Invmod,and Meteoag, in order to discover a new Architecture that achieves these features.

بسبب الانتشار الواسع لاستعراض الفيديو من خلال الهواتف الذكية في شبكات 3G/4G (مثل HSPA و HSPA+ و LTE) ، وبسبب الاستهلاك الكبير للطاقة الذي تتطلبه هذه الشبكات أدى إلى انخفاض كبير في أداء البطارية وبالتالي إلى إنخفاض رغبة المستخدم في استعراض الفيديو. لحل هذه المشكلة قمنا بتصميم GreenTube وهو نظام يقدم أفضل استهلاك للطاقة عند استعراض الفيديو وذلك من خلال التقليل من فترات الفعالية الغير ضرورية لشبكات 3G/4G. حققت GreenTube هذه الفكرة من خلال إدارة التخبئة للفيديو المراد تحميله بالاعتماد على مؤشرات تتعلق بعرض الفيديو من قبل المستخدم و ظروف الشبكة. تم تحقيق GreenTube في الهواتف الذكية بأنظمة Android. بينت النتائج أن GreenTube حقق إنخفاض كبير في الطاقة بنسبة 70% من الطاقة المهدورة على 3G/4G، وبنسبة 40% من الطاقة المهدورة على النظام ككل. سيكون GreenTube تطوير مناسب لنظام الـAndroid وخاصة مع زيادة استخدام LTE.

The huge datacenters in the world - used in the social networks, researching and computing centers, and storage devices - have faced fundamental problem reflected in the need for high throughput to switch between the large numbers of virtual machines installed in these datacenters. The increased use of cloud applications will increase the need for greater numbers of virtual machines. In order to meet the requirements of this increase, it must be increased the hardware capabilities in the datacenters, through increasing the number of cores in the servers. Therefore, there is a need to provide network architecture that can connect all of these cores and chips very quickly. Consequently, it is necessary to enhance the virtual switching system to achieve the maximum integration and efficiency between the network segments, and analysis the scheduling and virtual queuing algorithms depending on the decisions from the experiences implemented using high-level source code and hardware description scheme with Xilinx platform.

A significant challenge facing researchers is the bridging of domains between the natural and physical sciences through the integration, analysis & visualization of multivariate environmental data from a variety of sources. Typically the temporal, visual and analytical components are not well handled within a single software application or by existing tools, and the final products are often difficult to share with collaborating researchers and managers. To address these issues, Myriax has launched Eonfusion; the next generation of geospatial analysis software which provides a state-of-the-art 4D-analysis environment that is intuitive and readily extensible. The software significantly enhances the ease with which scientists can integrate diverse data types (raster, vector and media) and share methods across disciplines. The powerful 4D-visualization interface also incorporates a range of analysis and plotting tools as well as a time-navigation capability that allow users to explore the temporal evolution of spatial structure and resolved relationships. Its revolutionary fusion capability allows data at different temporal or spatial scales to be reconciled, attributes merged and topological relationships identified. The software is customizable, through an integrated coding environment for algorithm implementation and an Application Programming Interface (API), to facilitating the development of modules. It is ideal for both undertaking complex analyses and communicating syntheses. This paper introduces the concepts behind fusion of irregular vector data in Eonfusion. Multiple data sets, including modeled and sampled data, can be fused into a single set with shared coordinates, enabling the discovery of topological relationships between coincident data items. These relationships also allow data attributes to be directly compared and transferred between data sets. A corresponding process also allows raster data attributes to be directly compared with vector data attributes through a raster mapping form of fusion. Both the raster and vector data sets can be visualized together, and the attribute transfer results displayed and used for further analysis.

Last mile supply system takes great importance in the designed supply chain management, especially in the big urban areas, where various goods delivery locations should be tackled. Transportation routes and vehicles play a critical share in the optimization of the energy spent in this system because it is considered a complicated case due to its high solutions possibilities. Also, part of these transport processes is considered reverse logistics, where the goods take the way back, starting from the customer. Using a metaheuristic optimization is usually a good way to increase operations efficiency and save time and energy, next to raising sustainability. Within this paper, the last mile supply system within urban areas focusing on the goods' delivery and collection tasks is presented. The model design is described, mathematical optimization modelling is detailed, and a case study to investigate the impact of using diesel and electric trucks on energy efficiency is solved. After ...

Simple detection of bugs, defects or anomalies during software development is not enough-it is necessary to apply corrective actions to eliminate them. To find out whether an anomaly exists in any software, we can measure the quality attributes using software metrics. The main goal of this paper was to find out and explain how to meaningfully attribute metrics to useful corrective actions. CCS CONCEPTS • Information systems → Data management systems; • Software and its engineering → Software development process management.