Current grid solutions make several limiting assumptions that curtail their widespread adoption in the emerging decentralized, resource constrained, embedded, autonomic, and mobile (DREAM) environments: they are designed primarily for highly complex scientific problems, and therefore require powerful hardware and reliable network connectivity; additionally, they provide no application design support to grid users (e.g., scientists). We present GLIDE, a prototype light-weight, data-intensive middleware infrastructure that enables access to the robust data and computational power of the grid on DREAM platforms. GLIDE embodies a number of features of an existing data grid solution within the framework of an existing DREAM middleware solution with extensive application design capabilities.
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