A Catalog of Architectural Tactics for Cyber-Foraging

Advances in Computer Science Research

et al. 2015

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Abstract-The environmental impact of ICT represents an increasing concern for modern society. Despite that, we still witness a lack of awareness from the ICT industry regarding their carbon footprint. In particular, practitioners lack knowledge and tools to perform informed decision-making in the area of Green ICT. Moreover, best practices for Green ICT are usually conceived and applied in-house. This prevents them from being generalized and shared with the community. In this paper, we present a web-based tool that tackles both needs: on one hand, the tool enables practitioners (i.e. agents) to browse a number of Green ICT solutions and calculate their estimated impact if applied to their organization, through customized parameters. On the other hand, the tool also provides a creation interface for contributors who want to generalize and share their own Green ICT practices. In addition, we foresee that the data generated by the usage of the tool will provide useful insights and trends regarding the adoption of Green ICT and its effectiveness on reducing CO2 emissions.

Section: Discussionmentioning

confidence: 99%

The Green Practitioner: A decision-making tool for green ICT

Lundfall¹,

Grosso

Advances in Computer Science Research

et al. 2015

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“…-Diamond Search Module: The Diamond Search Module is a third-party component for interactive search of nonindexed data. 4 • Cloud: Cloud-based data center that aggregates video metadata from a set of associated cloudlets.…”

Section: System Architecture and Designmentioning

confidence: 99%

“…In previous work we conducted a systematic literature review (SLR) on architectures for cyber-foraging systems [2,3]. The common design decisions present in the cyber-foraging systems identified in the SLR were codified into functional and non-functional architectural tactics [3,4]. We define architectural tactics as design decisions that influence the achievement of a system quality (i.e., quality attribute) [5].…”

Section: Introductionmentioning

confidence: 99%

A tale of three systems: Case studies on the application of architectural tactics for cyber-foraging

Lewis

Future Generation Computer Systems

Echeverría

et al. 2019

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h i g h l i g h t s • Cyber-foraging is a technique to extend computing power of mobile devices. • Two case studies to discover tactics for cyber-foraging in existing systems. • Third case study uses the tactics in the development of a new system. • Results are an initial demonstration of the validity of the tactics. • Potential for taking a tactics-driven for development of cyber-foraging systems.

“…software architecture, SPL engineering, enterprise application integration, and system-driven requirements elicitation. Examples of domains already expecting solutions include smart grids, cyber-foraging [3], e-health, sustainable data management [4], and green cloud provisioning [5]. From a software engineering perspective, it will be essential to make design decisions that address the various quality properties of a sustainable system, from both technical, environmental, economic and social perspectives [6].…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

Challenges and Opportunities for Sustainable Software

2015 IEEE/ACM 5th International Workshop on Product Line Approaches in Software Engineering

2015

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With the increasing role played by software in supporting our society, its sustainability and environmental impact have become major factors in the development and operation of software-intensive systems. Myths and beliefs hide the real truth behind Green IT: IT is energy-inefficient because software is developed to make it so -intentionally or not. But how far are we from being able to control software energy-efficiency? What makes software greener? How can we transform measuring software energy consumption in a general practice? What architectural design decisions will result in more sustainable systems? How can we ensure that new-generation software will be both cloud-ready and environmental-friendly? and How can we make evident the economic and social impact of developing software with 'energy in mind'? These are a few of the challenges ahead for a more sustainable digital society. This talk will discuss them, hence drawing directions for exciting challenges, promising opportunities, and ultimately inspiring research.WHERE ARE WE, REALLY? It is impossible to imagine society without software and the IT resources to run it. While we can measure the impact of IT resources on energy consumption, we still have to understand the impact of software and its properties.What we know for sure is that software is being developed without taking energy into consideration. This is evident if we think of the incredible energy optimizations of hardware over the years, which have been continuously negated by software products 1 . We notice this every day. For example, playing media on our mobile devices drains battery in no time. Or, if we look at the various generations of operating systems, they offer very similar sets of features to end-users while they demand much heavier IT resources.In following explores a few of the many related challenges and opportunities. I. CHALLENGES AND OPPORTUNITIESGreen Software Labels are farther than we think. In spite of the many publications in the field of green software, most provide only partial (if any) information about e.g. how to develop software that is energy efficient; what metrics, tools or contextual configurations should be considered when measuring or estimating the energy consumption of (certain types of) software systems or applications; and ultimately what is the real impact of software applications on the energy efficiency of the computing resources they need for execution. As a result we are witnessing a paradox. From afar, researchers and practitioners have started believing that much has been done already, and the lack of significant adoption in practice would suggest that the impact of software is negligible. This further feeds the myth that major gains are to be searched in hardware optimization, or in using renewable energy resources instead. We are forgetting that computing resources and infrastructures are there because software needs them, and if software is bloat and inefficient any optimization will be just wasted. To be able to recognize the level of...