Sustainable computing aims to reduce the environmental impact of computing through more efficient use of resources and the use of renewable energy sources. It involves developing systems that minimize waste, optimize performance and lifespan, and reduce carbon emissions. Key challenges include reducing the use of harmful materials in devices, high energy consumption from data usage and storage, and growing electronic waste. Researchers are exploring ways to address these through modular design, powering infrastructure with clean energy, and reuse/recycling of components and materials. Data-driven approaches also have potential to optimize resource allocation and infrastructure management to support sustainable development goals.

1. SUSTAINABLE COMPUTING

2. INTRODUCTION
 Sustainable computing is latest technology and it provides the
environment for reduction of energy requirement and resource
optimization in edge or cloud computing infrastructure.
 Computational Sustainability is an interdisciplinary field that aims to
apply techniques from computer science, information science,
operations research, applied mathematics, and statistics for balancing
environmental, economic, and societal needs for sustainable
development. The main focus is on developing computational and
mathematical models and methods for decision making concerning the
management and allocation of resources in order to help solve some of
the most challenging problems related to sustainability.

3. DON’T YOU REMEMBER?
 SUSTAINABILITY IS THE CAPABILITY FOR OUR HUMAN SOCIETY TO
CONTINUE INDEFINITELY WITH EARTH’S NATURAL CYCLES.
 SUSTAINABLE DEVLOPMENT IS THE ECONOMIC DEVELOPMENT THAT
IS CONDUCTED WITHOUT DEPLETION OF NATURAL RESOURCES.

4. SUSTAINABLE COMPUTING IS UNSUSTAINABLE
IN 3 MAIN WAYS:
 1ST COMPUTER PRODUCTS ARE MADE OF HARMFUL PRODUCTS: LIKE
LAPTOPS,PHONES AND OTHER DEVICES ARE MADE OF HARMFUL MATERIAL
LIKE LEAD, KTM, MERCURYAND BROMIDE AT FLAME RETARDANTS.THESE
MATERIALS HAVE DEADLY EFFECT ON THE ENVIRONMENT AND HUMAN
HEALTH.
 2ND COMPUTER USAGE INVOLVES LARGE GLOBAL ENERGY CONSUMPTION
IN MOST OF THE TIME THIS ENERGY COMES FROM UNCLEAR RESOURCES.
 3RD TECH WASTE WHICH HURTS ENVIRONMENT : AS TECHNOLOGY
ADVANCED AND UPDATED ARE MORE FREQUENTS TECH WASTE BUILDS UP
USUALLY TECH WASTE IS DUMPED IN DEVELOPING COUNTRIES WHERE IT
WRECKS HAVOC ON ITS SURROUNDINGS.

5. HOW COMPUTER SCIENCE CAN BE MORE
SUSTAINABLE….
 By avoiding materials such as ktm ,lead etc and replacing eco friendly materials.
 Creating modular designs which allow for digital updates instead of physical trash
and buying new ones.
 Powering tech with clean energy sources. eg… A computer company name iameco creates
eco-friendly computers made of biodegradable products that are extremely efficient and
have mozzarella’s software.
 Tech big companies like google,apple are focused on powering data centers with clean
energy like solar,wind, biofuels etc…

6. LITRATURE SURVEYS
 Towards Green IT Organisations: A Framework for Energy Consumption and Reduction
This paper discusses the effects of the growing IT industry on the environment along with a review of
existing work in Green IT. A conceptual framework for energy consumption and reduction using system
dynamics modelling is also proposed which links the different locations within an IT organisation where
most of the energy consumption takes place and a case-study is given that illustrates the application of the
conceptual framework in a small in-house software development company consisting of ten employees.
 Building Sustainable Ecosystem-Oriented Architectures
Currently, organizations are transforming their business processes into e-services and service-oriented
architectures to improve coordination across sales, marketing, and partner channels, to build flexible and
scalable systems, and to reduce integration-related maintenance and development costs. This paper
proposes a novel framework for building sustainable Ecosystem- Oriented Architectures (EOA) using e-
service models.the proposed model seeks to deliver a comprehensive and a generic sustainable business
IT model for developing agile e-enterprises that are constantly up to new business constraints, trends, and
requirements. Future research can improve upon the proposed model so much so that it supports
computational intelligence to help in decision making and problem solving.

7.  The Green Climate Fund Could Reshape the Economics of Sustainable Computing
Sustainable computing has come so far. Now, several communities have explored a wide range
sustainable computing issues. With projects like the NetZero Data Center [10], Parasol [6] and iSwitch
[9], researchers have laid the intellectual ground work to manage the carbon emissions caused by a
data center. Research on the intellectual basis for carbon-aware resource management has also
blossomed.
Even though sustainable computing is gaining steam intellectually. Critics on the business side of
computer science research remain unconvinced.
 Kumar et al. [7] proposed Huffman coding and Ant Colony Optimization (ACO) based Lifetime
Maximization (HA-LM) technique for haphazardly distributed Wireless Sensor Networks (WSNs).
They showed the superiority of the proposed method when compared with the state-of-the-art
methods. Farooqi et al. [8] have made a comparison of various practices of green cloud
along with the results of each.

8.  Shaikh et al. [16] discussed about green Internet of Things by exploring ways of successfull and
efficient deployment of various enabling technologies like the Internet, smart object and sensors to
name a few. They have also made a review on various IoT applications, projects and standardization
efforts going on at present along with identification of few challenges that has to be addressed in
the near future to successfully enable a green IoT.
 Asad et al. [20] divided the big data enterprise into six planes which they considered vital as having
influence on the energy consumption of data centers. A survey is also made by them about the
important strategies that will make these six vital planes greener. The challenges and directions in
this area are also discussed. Nanath et al. [21] discussed about the impact of Green information
systems (Green IS) practices on Green innovations and the various ways in which corporations get
advantage over competitors because of better performance of Green innovations.

9. AIMS OF SUSTAINABLE COMPUTING
 Minimise costs: operating,capital,consumables.
 Minimise waste
 Maximise: system life,essential performance,flexibility.
 minimize environmental footprint.
 Optimise pc power management: save up to 80% of pc power use.
upto 60% network-wide,minimal cost to implement,can be centrally managed,requires analysis
of usage.

10. SPECIAL ISSUE ON SUSTAINABLE
COMPUTING
 Special Issue on Futuristic Technologies (FUTECH) for Sustainable Computing- In the current
developing of sustainable energy-efficient networking technologies for the meeting the growing
demand of ICT applications such as health care, smart cities,. In designing futuristic sustainable
computing solutions, research efforts in communication networks and cloud computing, internet
of things (IoT). Similarly, new research efforts are required in cloud computing and IOT based
solutions that are widely used in healthcare, smart cities. In addition, there are a number of
research challenges in reducing energy consumption in systems and in developing energy
efficient solutions based for wireless communication, resource management, green data centers,
and server architecture design.

11. Networking Technologies for Sustainable Computing
 In designing sustainable computing technologies, Networking technologies and devices play a critical role in
communication networks. Thus, there are a number of research challenges in reducing energy consumption in
systems and in developing energy efficient wireless communication networks, resource management, green
cloud computing strategies, and router and server architecture design.
Big Data related Applications and Technologies for Sustainable Computing
 Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used
computing platforms for capturing, managing, and processing the data. Various technologies are being
explored to support the handling of big data such as massively parallel processing databases, scalable storage
systems, and fog and cloud computing platforms. Big data is more than simply a matter of size; it provides
opportunities to find insights in new and emerging types of content, which allows to make business more agile
and to answer questions that were previously considered beyond our reach. This special issue aims to
demonstrate the emerging issues in the research of Big Data including various approaches, algorithms,
hardware, and software towards its processing

12. Special Issue on Data Intelligence in Sustainable Computing
 Computational sustainability is a broad field that aims to optimize our environmental resources
using methods from engineering, mathematics and computer science. Data intelligence
play a critical role in sustainable computing. Recent advances in data management, data
data analysis and artificial intelligence are finding applications in energy network and thus making
our environment more sustainable.
While the opportunities and challenges co-exist, this special issue is to report advances in data
intelligence and its applications on sustainable computing. We expect the ideas, technologies and
findings reported in the papers to be novel and inspiring.

13. REFERENCES
 The Climate Group, SMART 2020: Enabling the Low Carbon Economy in the Information Age
(2008). Available at http://www.smart2020.org/publications/.
 COMPUTING RESEARCH FOR SUSTAINABILITY by Lynette I. Millett and Deborah L. Estrin, Editors.
THE NATIONAL ACADEMIES PRESS.
 International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181
 Youtube
 info@EarthCareTech.com.au
 www. EarthCareTech.com.au
 Asad, Zakia, and Mohammad Asad Rehman Chaudhry. "A twoway street: Green big data
processing for a greener smart grid." IEEE Systems Journal 11.2 (2017): 784-795
 Shaikh, Faisal Karim, Sherali Zeadally, and Ernesto Exposito. "Enabling technologies for green
internet of things." IEEE Systems Journal 11.2 (2017): 983-994

14. TOGETHER WE CAN MAKE A DIFFRENCE
LET’S REVIEW
PRODUCTS SHOULD BE MADE WITH ECO-
FRIENDLY,RECYCLABLE MATERIALS,WITH MORE
EFFICIENCY FOR LESS POWER USAGE WITH
CLEANER WAYS TO UPDATE FOR LESS WASTE

15. THANKYOU