Providing Engineering Services With Smart Objects: An Active Big Data Approach

Stephen H. Kiasler, William H. Money and Stephen J. Cohen
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Stephen H. Kiasler: SHK & Associates, Anderson, USA
William H. Money: The Citadel, Baker School of Business, Charleston, USA
Stephen J. Cohen: Microsoft Corporation, Oakton, USA

International Journal of Systems and Service-Oriented Engineering (IJSSOE), 2018, vol. 8, issue 4, 43-68

Abstract: The world of data has been evolving due to the expansion of operations and the complexity of the data processed by systems. Big Data is no longer numbers and characters but are now unstructured data types collected by a variety of devices. Recent work has postulated that the Big Data evolutionary process is making a conceptual leap to incorporate intelligence. This challenges system engineers with new issues as they envision and create service systems to process and incorporate these new data sets and structures. This article proposes that Big Data has not yet made a complete evolutionary leap, but rather that a new class of data—a higher level of abstraction—is needed to integrate this “intelligence” concept. This article examines previous definitions of Smart Data, offers a new conceptualization for smart objects (SO), examines the smart data concept, and identifies issues and challenges of understanding smart objects as a new data managed software paradigm. It concludes that smart objects incorporate new features and have different properties from passive and inert Big Data.

Date: 2018
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