SDCS: Simplified Data Communications in Parallel/Distributed Applications

Author(s):  
Yong Mao ◽  
Yunhong Gu ◽  
Jia Chen ◽  
R.L. Grossman
2001 ◽  
Author(s):  
Michael Shinego ◽  
Geoff Edelson ◽  
Francine Menas ◽  
Michael Richman ◽  
Robert Nation

Author(s):  
Keeley Wilson

In the late 1990s, after Nokia developed the first smartphone (the “Communicator”), executives became increasingly sensitive to the importance of operating systems, data communications, and multimedia. It was also becoming clear that more complex business models would be needed to tap in to new opportunities. This chapter describes and analyzes how Nokia managed this transformation. It describes the development of the Communicator smartphone, the establishment of the Symbian OS, and the creation of an innovative camera phone. As the nature of the industry was changing and becoming more complex, it also looks at how Nokia responded by engaging with a wider ecosystem to develop the visual radio concept. These examples highlight the challenges that the new world of software platforms and application ecosystems raised for Nokia.


1996 ◽  
Author(s):  
Richard Hayton ◽  
Jean Bacon ◽  
John Bates ◽  
Ken Moody

1997 ◽  
Vol 29 (1) ◽  
pp. 179-183 ◽  
Author(s):  
Martin H. Levin
Keyword(s):  

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1553
Author(s):  
Marian Rusek ◽  
Grzegorz Dwornicki

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.


1981 ◽  
Vol 11 (4) ◽  
pp. 17-22
Author(s):  
Richard A. Usanis
Keyword(s):  

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