… , and we have seen increasingly sophisticated Grid applications in recent years. However, …
to create a functioning and persistent Grid. For the Grid to be successful, we must consider not …

… grids and context-aware platforms. We evaluate the key communications and data management
requirements of the smart grid, the proposals for unified smart grid … new smart grid that …

… ’’ remapping in grid cells. We propose that this dissociation between grid cell and place cell
… By our view, the grid-cell/place-cell projection is modulated by context, both organizationally …

… characteristics and uses are employed in section 4 to build grid definition. Section 5 explores
the field of CSCL within the context of grid, as it was de-fined in the previous sections and …

… Motivated by this, with Scaffold-GS as our base model, we introduce a well-structured hash
grid as context to model the inherent consistencies of the sparse and unorganized anchors, …

… context, understanding the characteristics of real Grid workloads is a crucial step for improving
the quality of existing Grid … of traces of four real Grid environments, namely LCG, Grid3, …

… We review the state of the art related to smart grid computational techniques. … for effective
and intelligent management of power grids is strategic. A Smart Grid (SG) is a type of Cyber–…

… Grid computing has enhanced our capabilities to model and simulate complex systems arising
in scientific, engineering, and commercial applications. The premise of Grid … power grids. …

… We introduce a grid-like context-aware network (GCNet) herein with a three-branch … a
grid-like context-aware module (GCM) to capture rich semantic information from different contexts. …

… and forecasts and the implementation of smart grids. … Smart grids are a term used to describe
various new data-based … systems, conventional grid or smart grid infrastructure, individual …