Evolutionary green computing solutions for distributed cyber physical systems

Zahra Abbasi, Michael Jonas, Ayan Banerjee, Sandeep Gupta, Georgios Varsamopoulos

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Scopus citations

Abstract

Distributed Cyber Physical Systems (DCPSs) are networks of computing systems that utilize information from their physical surroundings to provide important services such as smart health, energy efficient cloud computing, and smart grids. Ensuring their green operation, which includes energy efficiency, thermal safety, and long term uninterrupted operation increases the scalability and sustainability of these infrastructures. Achieving this goal often requires researchers to harness an understanding of the interactions between the computing equipment and its physical surroundings.Modeling these interactions can be computationally challenging with the resources on hand and the operating requirements of such systems. To overcome these computational difficulties researchers have utilized Evolutionary Algorithms (EAs), which employ a randomized search to find a near optimal solution comparatively quickly and with compelling performance compared to heuristics in many domains. In this chapter we review several EA solutions for green DCPSs.We introduce three representative DCPS examples including Data Centers (DCs), Wireless Sensor Networks (WSNs), and Body Sensor Networks (BSN) and discuss several green computing problems and their EA based solutions.

Original languageEnglish (US)
Title of host publicationEvolutionary Based Solutions for Green Computing
PublisherSpringer Verlag
Pages1-28
Number of pages28
ISBN (Print)9783642306587
DOIs
StatePublished - Jan 1 2013

Publication series

NameStudies in Computational Intelligence
Volume432
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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