A cooperative approach to distributed applications engineering

1998 ◽  
pp. 39-48 ◽  
Author(s):  
George Fernandez ◽  
Inji Wijegunaratne
Keyword(s):  
Distributed Applications ◽  
Cooperative Approach

PENGEMBANGAN SILABUS DAN RPP MELALUI PEMBINAAN PROFESIONAL DENGAN PENDEKATAN KOOPERATIF BAGI GURU SMPN 21 AMBON

2015 ◽  
Vol 8 (2) ◽  
pp. 67
Author(s):  
Ida Kurnia L
Keyword(s):  
Professional Development ◽  
Action Research ◽  
Lesson Plan ◽  
Lesson Plans ◽  
Learning Tools ◽  
Cooperative Approach ◽  
Asking Questions ◽  
Classroom Action Research

The background of this research is the incapacity of teachers in developing syllabi and lesson plan (RPP). This research is a classroom action research (CAR) at SMP 21 Ambon which aims to improve the competence of teachers in developing the syllabus through professional development with cooperative approach. The study was conducted in two cycles involving collaborators. These results indicated that the ability of teachers/participants in understand-ing of the syllabus and lesson plan (RPP) increased, from an average of 65.31% to 78.75%. The activity teacher/participants also increased which is marked by the increasing boldness of teachers in asking questions and raising such issues and increased cooperation of teachers in developing learning tools, especially for teachers in one subject cluster.Keywords : learning syllabus, lesson plans, Classroom Action Research (CAR).

Rising to Grand Challenges: A Need for a Comprehensive Rusafrica Рroject

2018 ◽  
pp. 11-24
Author(s):  
Leonid Fituni
Keyword(s):  
Development Strategy ◽  
Technological Development ◽  
High Technology ◽  
Mutual Cooperation ◽  
Grand Challenges ◽  
Cooperative Approach ◽  
Technology Products ◽  
Innovative Products ◽  
The Russian Federation ◽  
Scientific And Technological Development

The author presents a vision of the mainstream vectors of global development against the backdrop of the “Grand Challenges” of the 21st century. He formulates optimal ways for Russia and Africa to interact in order to achieve the goals set by the UN Third International Conference on Financing for Development. The author proposes a RUSAFRICA project, which combines a dual goal of boosting economic, social and technological development of both Russia and Africa. The project envisages an integrated cooperative approach to mutually significant economic, technological and infrastructural requirements and capacities while prioritizing the human development aspect. Innovative approaches to mutual cooperation shale open ways to promoting Russian technologies and innovative products to new markets, generating growth of income from exports of high technology products and services with the aim to enhance Russia’s influence and competitive strengths, in accordance with the Scientific and Technological Development Strategy of the Russian Federation.

Using events to build large scale distributed applications

1996 ◽  
Author(s):  
Richard Hayton ◽  
Jean Bacon ◽  
John Bates ◽  
Ken Moody
Keyword(s):  
Large Scale ◽  
Distributed Applications

scholarly journals Climate Change Sustainability: From Bargaining to Cooperative Balanced Approach

Games ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 45
Author(s):  
Tiziana Ciano ◽  
Massimiliano Ferrara ◽  
Mariangela Gangemi ◽  
Domenica Stefania Merenda ◽  
Bruno Antonio Pansera
Keyword(s):  
Climate Change ◽  
Cooperative Game Theory ◽  
Research Field ◽  
Future Research ◽  
Open Problems ◽  
Cooperative Approach ◽  
Change Dynamics ◽  
Bargaining Solutions ◽  
Balanced Approach ◽  
Competitive Bargaining

This work aims to provide different perspectives on the relationships between cooperative game theory and the research field concerning climate change dynamics. New results are obtained in the framework of competitive bargaining solutions and related issues, moving from a cooperative approach to a competitive one. Furthermore, the dynamics of balanced and super-balanced games are exposed, with particular reference to coalitions. Some open problems are presented to aid future research in this area.

The Influence of Formal Institution Agents on Coopetition in the Organic Food Industry

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Gisele Hidalgo ◽  
Jefferson Marlon Monticelli ◽  
Juliana Pedroso ◽  
Jorge Renato Verschoore ◽  
Celso Augusto de Matos
Keyword(s):  
Financial Incentives ◽  
Single Case ◽  
Academic Research ◽  
Organic Food ◽  
Secondary Data ◽  
Food Products ◽  
Value Capture ◽  
Production Chain ◽  
Cooperative Approach ◽  
Formal Institution

AbstractRecent academic research presents a large volume of studies on the organic market from the perspective of consumers’ motivation and purchasing preferences. However, these studies adopt a competitive or cooperative approach, but overlook the institutional complexity of emerging markets. This study aims to investigate the organic food production chain of emerging countries from the perspective of coopetition, taking into account the influence of formal institution agents. We focused our analysis on the chain of the organic food products, with the organic ice-cream producer as the key node of the chain. It is a single-case study conducted through in loco interviews with participants in the organic food products’ chain, along with secondary data. The results show the influence of formal institution agents and non-financial incentives as primary drivers of entrepreneurial strategic decisions. We contributed to the coopetition literature by demonstrating the influence of formal institution agents on value creation and value capture in the organic chain.

scholarly journals Swarm-Like Distributed Algorithm for Scheduling a Microservice-Based Application to the Cloud Servers

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1553
Author(s):  
Marian Rusek ◽  
Grzegorz Dwornicki
Keyword(s):  
Distributed Applications ◽  
Practical Implementation ◽  
Live Migration ◽  
Cloud Infrastructure ◽  
Application Development ◽  
Cloud Management ◽  
Cloud Application ◽  
Cloud Servers ◽  
Distributed Cloud ◽  
Better Than

Introduction of virtualization containers and container orchestrators fundamentally changed the landscape of cloud application development. Containers provide an ideal way for practical implementation of microservice-based architecture, which allows for repeatable, generic patterns that make the development of reliable, distributed applications more approachable and efficient. Orchestrators allow for shifting the accidental complexity from inside of an application into the automated cloud infrastructure. Existing container orchestrators are centralized systems that schedule containers to the cloud servers only at their startup. In this paper, we propose a swarm-like distributed cloud management system that uses live migration of containers to dynamically reassign application components to the different servers. It is based on the idea of “pheromone” robots. An additional mobile agent process is placed inside each application container to control the migration process. The number of parallel container migrations needed to reach an optimal state of the cloud is obtained using models, experiments, and simulations. We show that in the most common scenarios the proposed swarm-like algorithm performs better than existing systems, and due to its architecture it is also more scalable and resilient to container death. It also adapts to the influx of containers and addition of new servers to the cloud automatically.

scholarly journals Computational storage: an efficient and scalable platform for big data and HPC applications

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Mahdi Torabzadehkashi ◽  
Siavash Rezaei ◽  
Ali HeydariGorji ◽  
Hosein Bobarshad ◽  
Vladimir Alves ◽  
...  
Keyword(s):  
Big Data ◽  
High Performance ◽  
Distributed Processing ◽  
Data Access ◽  
Distributed Applications ◽  
Process Data ◽  
Storage Devices ◽  
Hadoop Mapreduce ◽  
Big Data Applications ◽  
Application Processor

AbstractIn the era of big data applications, the demand for more sophisticated data centers and high-performance data processing mechanisms is increasing drastically. Data are originally stored in storage systems. To process data, application servers need to fetch them from storage devices, which imposes the cost of moving data to the system. This cost has a direct relation with the distance of processing engines from the data. This is the key motivation for the emergence of distributed processing platforms such as Hadoop, which move process closer to data. Computational storage devices (CSDs) push the “move process to data” paradigm to its ultimate boundaries by deploying embedded processing engines inside storage devices to process data. In this paper, we introduce Catalina, an efficient and flexible computational storage platform, that provides a seamless environment to process data in-place. Catalina is the first CSD equipped with a dedicated application processor running a full-fledged operating system that provides filesystem-level data access for the applications. Thus, a vast spectrum of applications can be ported for running on Catalina CSDs. Due to these unique features, to the best of our knowledge, Catalina CSD is the only in-storage processing platform that can be seamlessly deployed in clusters to run distributed applications such as Hadoop MapReduce and HPC applications in-place without any modifications on the underlying distributed processing framework. For the proof of concept, we build a fully functional Catalina prototype and a CSD-equipped platform using 16 Catalina CSDs to run Intel HiBench Hadoop and HPC benchmarks to investigate the benefits of deploying Catalina CSDs in the distributed processing environments. The experimental results show up to 2.2× improvement in performance and 4.3× reduction in energy consumption, respectively, for running Hadoop MapReduce benchmarks. Additionally, thanks to the Neon SIMD engines, the performance and energy efficiency of DFT algorithms are improved up to 5.4× and 8.9×, respectively.

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