Computational Smart Grid and DAM Queue
Riktesh Srivastava, School of Engineering and Technology, Al Dar University College, Dubai.
Manuscript received on 03 August 2019. | Revised Manuscript received on 09 August 2019. | Manuscript published on 30 September 2019. | PP: 8050-8052 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6428098319/2019©BEIESP | DOI: 10.35940/ijrte.C6428.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The layout of the Smart Computational Grid is an integral part of our information services infrastructure. In this paper, an anticipation of the architectural model of Smart Computational Grid is derived, which provides petabytes storage, tera-byte processing speed, and Gigabyte data transmission, where many supercomputers forms node with parallel data transmission. Impulsive demands posed by unexpected flows of data from users for complex computations, however, is exceedingly challenging. The paper specifies the design and implementation of a Dynamic Allocation of Memory (DAM) algorithm. DAM algorithm identifies the design of memory at supercomputing node, for ergodic functioning and for ensuring that no data overflow, using the methodology of queuing theory. The overall performance of the DAM algorithm is shown using MM1 and GG1 queue models and results are compared accordingly.
Keywords: Smart Computational Grid, DAM Algorithm, MM1 Queue, MG1 Queue, Ergodicity.
Scope of the Article: Analysis of Algorithms and Computational Complexity