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RFID GPS data will enable sustainable paradigms e.g., closer = cheaper, faster. The same holds true for Big Data where establishing a consistent <tag> context library / lexicon and time stamping data by organization <Org_ID> and by data class type and by resource type -- prior to fusion is key to improved network forensics and data analytics -- especially when achieving the "Grail" -- a shared view of time stamped, filtering content on applique decision dashboard overlays showing the four characteristics of Big Data: VOLUME, VELOCITY, VARIETY, VERACITY.

Big Data analytics, network forensics will never reach their full potential until data is synchronously, reliably time stamped prior to data fusion center insertion -- using Organizational Identifiers as a primary key or secondary key used to track organization and organizational units in context of mission readiness in terms of stockage levels of key resources, URN Uniform Resource Name typed resource movement from one micro-cycle to the next forming reports that are aggregated, filtered by precedence, then fused to inform decision makers of changes in micro-cycles viewed in longer, slower operational macro-cycles. Most organizations, corporations are not yet tracking data in context with formation of a trade federation and in terms of meeting Service Level Agreements SLAs although the term federation in cloud computing is starting to be recognized.

Novel time-space meters / metrics i.e., the Paul Revere for linear, sequential hop counts from cloud center to cloud center or computer server node to node or the water drop radius, circular meme to measure changes in movement, geo-spatial temporal intensity in universally recognized memes will help identify unused resources with unmet needs establishing a universal time -space meter framework for the Internet of Everything IET helping realize the goal of "gaining the ability to hear the world's heartbeat"