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An energy-efficient and error-resilient server ecosystem exceeding conservative scaling limits

Georgios Karakonstantis, Konstantinos Tovletoglou, Lev Mukhanov, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Peter Lawthers, Panos Koutsovasilis, Manolis Maroudas, Christos D. Antonopoulos, Christos Kalogirou, Nikos Bellas, Spyros Lalis (+14 others)
2018 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)  
In this paper, we present our approach, which aims at developing a new class of micro-servers -the UniServer -that exceed the conservative energy and performance scaling boundaries by introducing novel  ...  Consequently, there is a need for more energy efficient servers to empower traditional centralized Cloud data-centers as well as emerging decentralized data-centers at the Edges of the Cloud.  ...  This will enable us to exceed the energy and performance scaling boundaries adopted in commercial servers.  ... 
doi:10.23919/date.2018.8342175 dblp:conf/date/KarakonstantisT18 fatcat:q7nxvds5mnhn7nv2pouokoayu4

Infrastructure and Energy Conservation in Big Data Computing: A Survey

Ewa Niewiadomska-Szynkiewicz, Michał P. Karpowicz
2019 Journal of Telecommunications and Information Technology  
This paper addresses the vital problem of energy-efficient high performance distributed and parallel computing. An overview of recent technologies for Big Data processing is presented.  ...  Progress in life, physical sciences and technology depends on efficient data-mining and modern computing technologies.  ...  An efficient load balancing algorithm is triggered when loads of nodes are not balanced or when local resources are limited.  ... 
doi:10.26636/jtit.2019.132419 fatcat:oeokamnhxbdmbkoytyrpqgilfy

Energy-Aware Load Balancing and Application Scaling for the Cloud Ecosystem

Ashkan Paya, Dan C. Marinescu
2017 IEEE Transactions on Cloud Computing  
In this paper we introduce an energy-aware operation model used for load balancing and application scaling on a cloud.  ...  The basic philosophy of our approach is defining an energy-optimal operation regime and attempting to maximize the number of servers operating in this regime.  ...  Economy of scale affects the energy efficiency of data processing.  ... 
doi:10.1109/tcc.2015.2396059 fatcat:a56c2dpds5ga7keyo5flm2f6za

Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap [article]

Somali Chaterji, Parinaz Naghizadeh, Muhammad Ashraful Alam, Saurabh Bagchi, Mung Chiang, David Corman, Brian Henz, Suman Jana, Na Li, Shaoshuai Mou, Meeko Oishi, Chunyi Peng (+5 others)
2019 arXiv   pre-print
An optimally designed system is resilient to both unique attacks and recurrent attacks, the latter with a lower overhead.  ...  The question that we address in this article pertains to designing these CPS systems to be resilient-from-the-ground-up, and through progressive learning, resilient-by-reaction.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ... 
arXiv:2001.00090v1 fatcat:zaybw5wyfbayhcu34q2douctme

Quality-Aware Sensor Data Management [chapter]

Zhijing Qin, Qi Han, Sharad Mehrotra, Nalini Venkatasubramanian
2013 Signals and Communication Technology  
., energy, storage, bandwidth), data management must be part of the overall system and software architecture. Figure 1. Emerging applications in pervasive sensing environments  ...  scale deployments.  ...  Finally, we will examine how alternative evaluation strategies, given an architectural choice, affect optimization goals such as timeliness, energy efficiency and resilience to faults.  ... 
doi:10.1007/978-3-642-40009-4_13 fatcat:6mhekasuxjbmdoappbncfqxazy

Reliability and energy efficiency in cloud computing systems: Survey and taxonomy

Yogesh Sharma, Bahman Javadi, Weisheng Si, Daniel Sun
2016 Journal of Network and Computer Applications  
Reliability and energy efficiency are two key challenges in cloud computing systems (CCS) that need careful attention and investigation.  ...  Moreover, various challenges and research gaps in trade-off between reliability and energy efficiency are identified for future research and developments.  ...  Calheiros from The University of Melbourne, David Di Lenno and Ramesh K. Dixit for sharing their constructive comments and suggestions on improving the survey.  ... 
doi:10.1016/j.jnca.2016.08.010 fatcat:kfsxrhje5jfatg74mawkqo4dru

Machine Learning Systems for Intelligent Services in the IoT: A Survey [article]

Wiebke Toussaint, Aaron Yi Ding
2020 arXiv   pre-print
It covers the latest developments (up to 2020) on scaling and distributing ML across cloud, edge, and IoT devices.  ...  This survey moves beyond existing ML algorithms and cloud-driven design to investigate the less-explored systems, scaling and socio-technical aspects for consolidating ML and IoT.  ...  INTRODUCTION Internet of Things (IoT) applications have permeated industries and society in sectors ranging from energy and agriculture, to child care, conservation and manufacturing.  ... 
arXiv:2006.04950v3 fatcat:xrjcioqkrrhpvgmwmutiajgfbe

The International Exascale Software Project roadmap

Jack Dongarra, Pete Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara Chapman (+53 others)
2011 The international journal of high performance computing applications  
science on extreme-scale systems.  ...  integration of technologies necessary to make them work together smoothly and efficiently, both within individual PetaScale systems and between different systems.  ...  Likewise, the areas that have less software maturity (e.g., health and energy) have more Xs in the programming, languages, and debugging columns. Science and  ... 
doi:10.1177/1094342010391989 fatcat:twdszcjfxraijpsdcdacvpp6vm

SafeCity: Toward Safe and Secured Data Management Design for IoT-enabled Smart City Planning

Hui Zhang, Muhammad Babar, Muhammad Usman Tariq, Mian Ahmad Jan, Varun G Menon, Xingwang Li
2020 IEEE Access  
This paper exhibits a novel architecture, SafeCity, that limelight the ecosystem of smart cities consists of cameras, sensors, and other real-world physical devices.  ...  These heterogeneous devices produce an enormous amount of data that is vulnerable to various malicious threats.  ...  The session launch is headed by a provisioning stage where the clients share a secret key with the server. The server conserves a trace of keys, based on an associated unique identifier (ID).  ... 
doi:10.1109/access.2020.3014622 fatcat:toda2yvni5gulhmfmssy3kfo5q

The Resilience Principles: A Framework for New ICT Governance

J. Pierre de Vries
2010 Social Science Research Network  
This is an example of narrow economic efficiency reducing system resilience. 55.  ...  [T]he best response to an uncertain and ever-changing situation is to accept it and aim at resilience rather than efficiency.  ... 
doi:10.2139/ssrn.1732798 fatcat:fwrk347bpbd2hayflmmm2ogxyq

Green Software [chapter]

Bob Steigerwald, Abhishek Agrawal
2012 Harnessing Green It  
part of a larger cross-border collaboration, the research described in this chapter has been conducted at the University of Ulster by the UK project team involved with the Theme 6 project, 'Cross-Layer Energy  ...  by the UK Engineering and Physical Sciences Research Council (EPSRC) Digital Economy Programme and Government of India Department of Science and Technology (DST).  ...  to keep the physical infrastructure from exceeding thermal limits.  ... 
doi:10.1002/9781118305393.ch3 fatcat:epohredblvhg5ei2chbw2fmhpy

A Survey on the Placement of Virtual Resources and Virtual Network Functions

Abdelquoddouss Laghrissi, Tarik Taleb
2018 IEEE Communications Surveys and Tutorials  
itself as an efficient way to save energy.  ...  cost between VMs and improve the energy-efficiency and scalability of DCs.  ... 
doi:10.1109/comst.2018.2884835 fatcat:qu32ztzffnbbjnljo5cbv762di

Network resilience [article]

Xueming Liu, Daqing Li, Manqing Ma, Boleslaw K. Szymanski, H Eugene Stanley, Jianxi Gao
2020 arXiv   pre-print
their resilience function and early warning indicators.  ...  We also discuss some ambiguous definitions, such as robustness, resilience, and stability.  ...  , demographic and community-scale process [161] , decreasing the internal resilience in ecosystems.  ... 
arXiv:2007.14464v1 fatcat:msd7ifbvczftdjqwkapk6yjgje

Common Metrics for Analyzing, Developing and Managing Telecommunication Networks [article]

Salman M. Al-Shehri, Pavel Loskot, Tolga Numanoglu, Mehmet Mert
2017 arXiv   pre-print
reliability and resilience metrics.  ...  The most commonly used metrics for telecommunication systems are categorized and presented as energy and power metrics, quality-of-service metrics, quality-of-experience metrics, security metrics, and  ...  The vulnerability of scale-free networks against an overload due to cascading failures (e.g., by exceeding the node capacities) and against fluctuating loads, and large-scale congestion in the scale-free  ... 
arXiv:1707.03290v1 fatcat:il7c4343wvcyphxuqaxrmcmaiu

Harnessing Green IT: Principles and Practices

San Murugesan
2008 IT Professional Magazine  
You can follow him on Twitter @santweets and at LinkedIn and contact him at  ...  and educational institutions.  ...  part of a larger cross-border collaboration, the research described in this chapter has been conducted at the University of Ulster by the UK project team involved with the Theme 6 project, 'Cross-Layer Energy  ... 
doi:10.1109/mitp.2008.10 fatcat:g5np2vq245drvflci2bc7bj4me
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