Development of A Dispatching System of Global Services for Super Metaverse Ecospheres
Sky-earth Computing (I) Beyond Cloud Computing
Research Lab of Interdisciplinary Science, Soochow University, China
*Corresponding Author: Zongcheng Li, Research Lab of Interdisciplinary Science, Soochow University, China.
July 08, 2022; Published: September 27, 2022
Every life has its own ecosystem, which is an interest-related system composed of all the factors directly and indirectly related to life. By the analysis and design of this series of articles, with cyber-life as the center, using big data platform, IOT, AI technology, as well as the sky-earth computing system engineering that we advocate to develop and implement, we integrate cyber-natural system and cyber-social system, and establish a super metaverse system (SMS) for the new civilized world. As the technical foundation of the hyper-cyber world system, the "sky-earth computing" (SEC) proposed in this series of research to develop is a hyper-cyber world computing mode that combines the traditional computing mode in various professional application fields with the modern computing mode in the field of information network technology (represented by distributed computing, grid computing, cloud computing and cluster computing). Here, "Sky (or Heaven)" metaphors the information world in the field of digital network technology, and "Earth" metaphors the real world in various professional application fields. We propose to provide a customized global-service dispatcher (GSD) and its enhanced version of the world-wise brain (WWB) with the user as the center and facing the ecosphere of this user in Internet of everything.
Keywords: Super Metaverse Ecosphere; Hyper-cyber world; Sky-earth Computing System Engineering; Global Resources Dispatcher; Sky-earth Computing Console
- J Höller., et al. “From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence”. Elsevier, (2014).
- Farooq M U., et al. “A Critical Analysis on the Security Concerns of Internet of Things (IoT)”. International Journal of Computer Applications (IJCA) 11 (2015).
- Ersue M., et al. “Management of Networks with Constrained Devices: Use Cases”. IETF Internet Draft 4 July (2014).
- Zakas Nicholas C. “The Evolution of Web Development for Mobile Devices: Building Web sites that perform well on mobile devices remains a challenge”. Association for Computing Machinery 17 February (2013).
- Seaver N. “Captivating algorithms: Recommender systems as traps”. Journal of Material Culture (2018): 1-2.
- Grosman J. “Technical Report in the frame Pervasive and User Focused Biometrics Border Project (PROTECT)”. Ethical and Social Issues (2018).
- Helene Ratner and Evelyn Ruppert. “Producing and projecting data: Aesthetic practices of government data portals”. Big Data and Society, July 8, (2019).
- Allen Corey. “How Big Data Can Improve Healthcare”. UBC News, January 8, (2015).
- Tom Simonite. “2014 in Computing: Breakthroughs in Artificial Intelligence”. MIT Technology Review 29 Dec (2014).
- Katz Yarden. “Noam Chomsky on Where Artificial Intelligence Went Wrong”. The Atlantic. 1 November (2012).
- Algaze Guillermo. The Uruk World System: The Dynamics of Expansion of Early Mesopotamian Civilization, Second Edition, 2004; Wilkinson, David, The Power Configuration Sequence of the Central World System, 1500–700 BCE, (2001).
- Crawford Sue ES and Elinor Ostrom. “A Grammar of Institutions”. American Political Science Review3 (1995): 582-600.
- Edward R Deway and Og Mandino. “Cycles: the mysterious forces that trigger events” (1973).
- Jensen Derrick. “Endgame: The Problem of Civilisation”. Vol 1, Vol 2, Seven Stories Press, (2006).
- Turchin P., et al. “History and Mathematics: Historical Dynamics and Development of Complex Societies”. Moscow: KomKniga (2007).
- Harry F Dahms. “The Matrix Trilogy as Critical Theory of Alienation: Communicating a Message of Radical Transformation”. Transdisciplinary Journal of Emergence1 (2005): 108-124.
- Lee Jay., et al. “Recent Advances and Trends of Cyber-Physical Systems and Big Data Analytics in Industrial Informatics”. IEEE Int. Conference on Industrial Informatics (INDIN) (2014).
- Dedić N and Stanier C. “Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery”. 285. Berlin ; Heidelberg: Springer International Publishing.
- Delone W H and Mclean ER. “Measuring e-commerce success: Applying the DeLone and McLean information systems success model”. International Journal of Electronic Commerce1 (2014): 31-47.
- Perera Charith., et al. “The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey”. Emerging Topics in Computing, IEEE Transactions on. PrePrint. 1 February (2015).
- Qin Z., et al. “E-Commerce Strategy”. Heidelberg: Springer Berlin Heidelberg, (2014).
- Lucas H. “An ecological circle”. Australian Nurses Journal1 (1992): 22-23.
- Blood D A. “An ecological study of California bighorn sheep Ovis canadensis californiana (Douglas) in southern British Columbia”. University of British Columbia, (1961): 303-315.
- Bonfil R., et al. “Distant water fleets : an ecological, economic and social assessment”. Fisheries Centre, University of British Columbia, (1998).
- Collette L K. “An ecological assessment of Russian olive in western Canada : predicted distribution across its invaded range and insect associations in southern BC”. University of British Columbia, (2014): 76-83.
- Dedić N and Stanier C. “Towards Differentiating Business Intelligence, Big Data, Data Analytics and Knowledge Discovery”. Berlin; Heidelberg: Springer International Publishing, (2017): 285.
- et al. “Coexistence and Dynamical Connections between Hyperchaos and Chaos in the4D Rössler System: A Computer-Assisted Proof”. SIAM Journal of Applied Dynamical Systems1 (2016): 356-390.