Toward a data desktop grid computing based on BonjourGrid meta-middleware

Desktop Grid or Voluntary Computing systems forms one of the biggest computing platforms in using idles resources over Internet or over LAN's networks. Desktop Grids have been successfully used for solving scientific applications around the world at low cost. However, the data requirements of e-Science applications increase dramatically with the emergence of data-intensive applications. Hence data management becomes one of the major challenge of Desktop Grids. In this work, we describe important challenges that are needed to implementing scalable data-intensive solution in Desktop Grids systems. In addition, we explore the state-of-the art in tools and frameworks for Big Data handling. The proposal solution will be integrated in BonioueCrid Desktop Grid.

I. Introduction

Currently, Desktop Grids (DGs) systems evolve in two global areas: Internet Computing (Volunteer Computing) and institution Desktop Grid computing. The first class benefits from exploiting the vast number of idle desktop PCs (volunteers) over Internet. The second, usually called LAN-based DGs, refers to a grid infrastructure that is confined to an institutional boundary, where user participation is governed by the enterprise's policy and desktop PCs are used to support the execution of the enterprise's applications. DGs middlewares such as Condor [12], BOINC [8], PastryGrid [1] [4], XtremWeb [14], OurGrid [9] and GridMP provide researchers a wide range of high throughput computing systems by utilizing idle resources.