Management Study of Layered Architecture to Incorporate Mobile Devices and Grid Computing

Author(s):  
Venkata Durga Kiran.Kasula ◽  
S.Srinivasa Rao ◽  
Shahana Bano
2012 ◽  
pp. 566-588
Author(s):  
Paul Grace ◽  
Danny Hughes ◽  
Geoff Coulson ◽  
Gordon S. Blair ◽  
Barry Porter ◽  
...  

Grid computing is becoming increasingly pervasive; sensor networks and mobile devices are now connected with traditional Grid infrastructure to form geographically diverse complex systems. Applications of this type can be classified as the Pervasive Grid. In this chapter we examine how traditional Grid technologies and middleware are inherently unsuited to address the challenges of extreme heterogeneity and fluctuating environmental conditions in these systems. We present Gridkit, a configurable and reconfigurable reflective middleware that leverages overlay networks and dynamic software in response to the requirements of the Pervasive Grid. We also illustrate how Gridkit has been used to deploy a flood monitoring application at a river in the north west of England; this demonstrates both the flexibility Gridkit provides, and how dynamic adaptation optimises performance and resource consumption.


Author(s):  
Raul Fernandes Herbster ◽  
Hyggo Almeida ◽  
Angelo Perkusich ◽  
Marcos Morais

In this article we propose a layered architecture that makes possible the visualization of large videos, and even other multimedia documents, in memory/processing limited devices. Storage of videos is performed at the server side, and the client plays the video without worrying about storage space in the device. Data available in the server is divided into small pieces of readable data for mobile devices, generally JPEG files. For example, when the client requests videos from the server, the videos are sent as JPEG files and shown at an ideal rate for users. The video frames are sent through a wireless connection.


Author(s):  
Jochen Furthmüller ◽  
Oliver P. Waldhorst

Grid computing offers exciting possibilities for mobile consumer devices. The sharing of resources makes new, demanding applications feasible and helps to exploit previously unused potential. As the number of mobile devices for communication and computation increases, so does the appeal of a mobile grid. However, transferring the paradigm of grid computing to the domain of mobile devices is difficult: limited resources, intermittent connectivity, increased heterogeneity, and network dynamics are some of the many complicating factors. There are different approaches to tackling the isolated facets of this task. These avenues vary according to management structure, network architecture, the kind of shared resources, and whether the mobile devices merely use resources or also contribute resources to the grid. This chapter introduces a scheme for classifying approaches to establishing mobile grids with respect to these aspects. Furthermore, it provides a survey of these efforts and identifies remaining challenges and future trends.


2012 ◽  
pp. 1197-1220
Author(s):  
Jochen Furthmüller ◽  
Oliver P. Waldhorst

Grid computing offers exciting possibilities for mobile consumer devices. The sharing of resources makes new, demanding applications feasible and helps to exploit previously unused potential. As the number of mobile devices for communication and computation increases, so does the appeal of a mobile grid. However, transferring the paradigm of grid computing to the domain of mobile devices is difficult: limited resources, intermittent connectivity, increased heterogeneity, and network dynamics are some of the many complicating factors. There are different approaches to tackling the isolated facets of this task. These avenues vary according to management structure, network architecture, the kind of shared resources, and whether the mobile devices merely use resources or also contribute resources to the grid. This chapter introduces a scheme for classifying approaches to establishing mobile grids with respect to these aspects. Furthermore, it provides a survey of these efforts and identifies remaining challenges and future trends.


Author(s):  
S. MASOUD SADJADI ◽  
FERNANDO TRIGOSO

We define adaptability as the capacity of software in adjusting its behavior in response to changing conditions. To list just a few examples, adaptability is important in pervasive computing, where software in mobile devices need to adapt to dynamic changes in wireless networks; autonomic computing, where software in critical systems are required to be self-manageable; and grid computing, where software for long running scientific applications need to be resilient to hardware crashes and network outages. In this paper, we provide a realization of the transparent shaping programming model, called TRAP.NET, which enables transparent adaptation in existing .NET applications as a response to the changes in the application requirements and/or to the changes in their execution environment. Using TRAP.NET, we can adapt an application dynamically, at run time, or statically, at load time, without the need to manually modify the application original functionality-hence transparent.


2009 ◽  
pp. 254-261
Author(s):  
Loreno Oliveira ◽  
Emerson Loureiro ◽  
Hyggo Almeida ◽  
Angelo Perkusich

Nowadays, we are experiencing an increasing use of mobile and embedded devices. These devices, aided by the emergence of new wireless technologies and software paradigms, among other technological conquests, are providing means to accomplish the vision of a new era in computer science. In this vision, the way we create and use computational systems changes drastically for a model where computers loose their “computer appearance.” Their sizes were reduced, cables were substituted by wireless connections, and they are becoming part of everyday objects, such as clothes, automobiles, and domestic equipments. Initially called ubiquitous computing, this paradigm of computation is also known as pervasive computing (Weiser, 1991). It is mainly characterized by the use of portable devices that interact with other portable devices and resources from wired networks to offer personalized services to the users. While leveraging pervasive computing, these portable devices also bring new challenges to the research in this area. The major problems arise from the limitations of the devices. At the same time that pervasive computing was attaining space within the research community, the field of grid computing (Foster, Kesselman, & Tuecke, 2001) was also gaining visibility and growing in maturity and importance. More than just a low cost platform for high performance computing, grid computing emerges as a solution for virtualization and sharing of computational resources. In the context of virtual organizations, both grid and pervasive computing assemble a number of features that are quite desirable for several scenarios within this field, notably the exchanging of information and computational resources among environments and organizations. The features of these technologies are enabling system designers to provide newer and enhanced kinds of services within different contexts, such as industry, marketing, commerce, education, businesses, and convenience. Furthermore, as time goes on, researchers have made attempts of extracting and incorporating the better of the two technologies, thus fostering the evolution of existing solutions and the development of new applications. On the one hand, pervasive computing researchers are essentially interested in using wired grids to hide the limitations of mobile devices. On the other hand, grid computing researchers are broadening the diversity of resources adhered to the grid by incorporating mobile devices. This chapter presents part of our experiences in the research of both pervasive and grid computing. We start with an overview about grid and pervasive technologies. Following, there are described and discussed approaches for combining pervasive and grid computing. These approaches are presented from both perspectives of grid and pervasive computing research. Finally, in the last section, there are presented our criticisms about the approaches discussed and our hopes about the future steps for this blend of technologies.


Author(s):  
Paul Grace ◽  
Danny Hughes ◽  
Geoff Coulson ◽  
Gordon S. Blair ◽  
Barry Porter ◽  
...  

Grid computing is becoming increasingly pervasive; sensor networks and mobile devices are now connected with traditional Grid infrastructure to form geographically diverse complex systems. Applications of this type can be classified as the Pervasive Grid. In this chapter we examine how traditional Grid technologies and middleware are inherently unsuited to address the challenges of extreme heterogeneity and fluctuating environmental conditions in these systems. We present Gridkit, a configurable and reconfigurable reflective middleware that leverages overlay networks and dynamic software in response to the requirements of the Pervasive Grid. We also illustrate how Gridkit has been used to deploy a flood monitoring application at a river in the north west of England; this demonstrates both the flexibility Gridkit provides, and how dynamic adaptation optimises performance and resource consumption.


Sign in / Sign up

Export Citation Format

Share Document