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Towards Reliable (and Efficient) Job Executions in a Practical Geo-distributed Data Analytics System [article]

Xiaoda Zhang, Zhuzhong Qian, Sheng Zhang, Yize Li, Xiangbo Li, Xiaoliang Wang, Sanglu Lu
2018 arXiv   pre-print
Our goal in this work is to develop a practical geo-distribued data analytics system that (1) employs an intelligent mechanism for jobs to efficiently utilize (adjust to) the resources (changeable environment  ...  To this end, we present a new, general geo-distributed data analytics system, HOUTU, that is composed of multiple autonomous systems, each operating in a sovereign data center.  ...  As stated in §1, HOUTU is a general system that efficiently handles geo-distributed job executions without requiring any job description changes.  ... 
arXiv:1802.00245v3 fatcat:p7npeu2at5e6zdkrqd3gaemmf4


Arunee Kasayanond, Rofiqul Umam, Kittisak Jermsittiparsert
2019 International Journal of Energy Economics and Policy  
benchmark and recognize activities and best practices in EE.  ...  Malaysia is focused on cultivating the development of a clean and efficient economy; that is, a "green" economy.  ...  In this manner, it very well may be certainly presumed that the results introduced in Table 2 are unprejudiced, efficient and reliable in clarifying the variations in ENE practice which is gone for  ... 
doi:10.32479/ijeep.8310 fatcat:oub3c7jggfdnrg2o2zs3pnqvvm

PingAn: An Insurance Scheme for Job Acceleration in Geo-distributed Big Data Analytics System [article]

Tiantian Wang and Zhuzhong Qian and Sanglu Lu
2018 arXiv   pre-print
Geo-distributed data analysis in a cloud-edge system is emerging as a daily demand. Out of saving time in wide area data transfer, some tasks are dispersed to the edges.  ...  For providing On-Line-Real-Time analysis results, a system needs to insure the geo-distributed resource for the arriving jobs.  ...  See Appendix A.2. □ IMPLEMENTATION ON REAL SYSTEM We develop the PingAn in Spark on Yarn, a general geo-distributed data analysis system, and run a series of typical workloads to consolidate the practicality  ... 
arXiv:1804.02817v2 fatcat:6bnady4zffc7xn26vsmes7apoq

Energy-efficient Analytics for Geographically Distributed Big Data [article]

Peng Zhao, Shusen Yang, Xinyu Yang, Wei Yu, Jie Lin
2017 arXiv   pre-print
In this article, we systematically investigate the geo-distributed big-data analytics framework by analyzing the fine-grained paradigm and the key design principles.  ...  We also highlight several potential research directions that remain open and require future elaborations in analyzing geo-distributed big data.  ...  To address the above issues, the natural alternative approach is to execute analytics jobs in a geo-distributed manner through intra-DC analytics frameworks.  ... 
arXiv:1708.03184v2 fatcat:clcitxa7gjdbrnfatb6slc2lly

Analyzing the Efficiency of Travel and Tourism in the European Union [chapter]

Petra Barišić, Violeta Cvetkoska
2019 Springer Proceedings in Business and Economics  
Abstract: A simulation model to determine a runway exit location is proposed in the paper.  ...  These methods can be constructed under the multilevel Monte Carlo framework proposed in Giles(2008). In  ...  In this paper, the Data Processing and Geo-Information System (DPGIS) means a software tool that provides collection, transfer, processing, storage and output of digital technical and economic data of  ... 
doi:10.1007/978-3-030-21990-1_10 fatcat:mkkhegc3hjgzzfra66ccabhw44

Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges [chapter]

Irene Kilanioti, Alejandro Fernández-Montes, Damián Fernández-Cerero, Anthony Karageorgos, Christos Mettouris, Valentina Nejkovic, Nikolas Albanis, Rabih Bashroush, George A. Papadopoulos
2019 Msphere  
social media streams and the infrastructure of the data centers supporting the efficient access to data streams in terms of content distribution, data diffusion, data replication, energy efficiency and  ...  Social data streams raise a variety of practical challenges: derivation of real-time meaningful insights from effectively gathered social information, a paradigm shift for content distribution with the  ...  Its custom built-in data warehouse and analytics infrastructure [11] has to apply ad-hoc queries and custom MapReduce jobs [55] in a continuous basis on over half a petabyte of new data every 24 h  ... 
doi:10.1007/978-3-030-16272-6_4 fatcat:qe35ltdzozfylax3q5taphzjf4

Efficient Intelligent Systems for Healthcare Data Management and Delivery

Dr Krishna Prasad K
2021 Zenodo  
Efficient Intelligent Systems for Healthcare Data Management and Delivery: PDF  ...  It may offer fault tolerance in handling huge data in sparse data. Communication among data and system is through services executed in MATLAB.  ...  Architectural modelling of big data is healthcare is alike of conventional data analytics model that performs references towards conventional data analytics.  ... 
doi:10.5281/zenodo.5148783 fatcat:zabqdvbnkbacrgritgzu2sedsy

Energy Efficient Cloud Control and Pricing in Geographically Distributed Data Centers [article]

Dražen Lučanin
2018 arXiv   pre-print
We evaluate our methods empirically and in a number of simulations using historical traces of electricity prices, temperatures, workloads and other data.  ...  With such pricing schemes and the increasing energy costs in data centres, balancing energy savings with performance and revenue losses is a challenging problem.  ...  granted under the Vienna University of Technology research award; (2) several international meeting and training school grants by COST Action IC804 "Energy efficiency in large scale distributed systems  ... 
arXiv:1809.05853v1 fatcat:tcz67rvylfbbxblqamyb7otc4e

Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards [article]

Rajeev Muralidhar and Renata Borovica-Gajic and Rajkumar Buyya
2020 arXiv   pre-print
This survey aims to bring these domains together and is composed of a systematic categorization of key aspects of building energy efficient systems - (a) specification - the ability to precisely specify  ...  Many research surveys have covered different aspects of techniques in hardware and microarchitecture across devices, servers, HPC, data center systems along with software, algorithms, frameworks for energy  ...  In [113] , the authors present NanoTherm, a solution to compute Green's function using a fast analytical approach that exploits the symmetry in the thermal distribution.  ... 
arXiv:2007.09976v2 fatcat:enrfj2qgerhyteapwykxcb5pni

2020 Index IEEE Transactions on Cloud Computing Vol. 8

2021 IEEE Transactions on Cloud Computing  
-March 2020 220-231 Data warehouses Optimizing Timeliness and Cost in Geo-Distributed Streaming Analytics. Heintz, B., +, TCC Jan.  ...  -March 2020 220-231 Optimizing Timeliness and Cost in Geo-Distributed Streaming Analytics. Heintz, B., +, TCC Jan.  ...  Frequency control Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing. Lucanin, D., +, TCC Oct.-Dec. 2020  ... 
doi:10.1109/tcc.2021.3055041 fatcat:nppinqsievad3gr42ppehwp7yi

A survey on architectures and energy efficiency in Data Center Networks

Ali Hammadi, Lotfi Mhamdi
2014 Computer Communications  
Heuristic and optimization problem Request distribution on Geo- distributed mirror data centers with [88] Renewable energy supply Request distribution based on cap and trade concept  ...  and communication resources, detected by DENS methodology to keep the quality of job execution at the desired level without congestions.  ... 
doi:10.1016/j.comcom.2013.11.005 fatcat:2runpdpelvahra6545sx6dj2pm

The Design of an Efficient Offshoring Strategy: Some Reflections and Links to SNC-Lavalin

Marcel Boyer
2007 Social Science Research Network  
The Design of an Efficient Offshoring Strategy: Some Reflections, with Links to SNC-Lavalin The Design of an Efficient Offshoring Strategy: Some Reflections, with Links to SNC-Lavalin  ...  a displacement of jobs from the home country to a foreign country rather than simply the creation of new jobs in a foreign country, although such new jobs created will be considered as offshored jobs if  ...  on a cost-plus reimbursable or lump sum turnkey basis; areas of activity include hydroelectric, nuclear and thermal power generation, transmission and distribution projects, energy control systems and  ... 
doi:10.2139/ssrn.1095428 fatcat:inhxvvuavrghdbntmenmtkenmy

Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields

Karim Ennouri, Slim Smaoui, Yaakoub Gharbi, Manel Cheffi, Olfa Ben Braiek, Monia Ennouri, Mohamed Ali Triki, Rijwan Khan
2021 Journal of Food Quality  
Artificial Intelligence is an emerging technology in the field of agriculture. Artificial Intelligence-based tools and equipment have actually taken the agriculture sector to a different level.  ...  The most recent computerized structures using remote sensing and drones have made a significant contribution to the agro-based domain.  ...  All authors have read and approved the final manuscript. Figure 1 1 : e geo-spatial analytics process[71]. Figure 2 : 2 Machine learning categories.  ... 
doi:10.1155/2021/6242288 fatcat:4jsqwbfa7jd3xo4nvawtuykex4

Deadline Constrained Video Analysis via In-Transit Computational Environments

Ali Reza Zamani, Mengsong Zou, Javier Diaz-Montes, Ioan Petri, Omer Rana, Ashiq Anjum, Manish Parashar
2017 IEEE Transactions on Services Computing  
Such in-transit nodes include network data centers that have generally been used to support content distribution (providing support for data multicast and caching), but have recently started to offer user-defined  ...  Using a number of scenarios, we demonstrate the benefits and limitations of this approach for video analysis, comparing this with the baseline scenario of undertaking all such analysis at a data center  ...  ACKNOWLEDGMENTS This work is supported in part by US National Science Foundation via grants numbers ACI 1339036, ACI 1441376.  ... 
doi:10.1109/tsc.2017.2653116 fatcat:xgydekr6gzdoflzkjdpf53p52q

Research in Big Data and Analytics: An Overview

Lekha R.Nair, Sujala D. Shetty
2014 International Journal of Computer Applications  
Traditional data analytic methods stumble in dealing with the wide variety of data that comes in huge volumes in a short period of time, demanding a paradigm shift in storage, processing and analysis of  ...  This paper presents a brief overview of research progress in various areas associated to Big Data Processing and Analytics and conclude with a discussion on research directions in the same area.  ...  It is originally a batch processing system and it prefers throughput, reliability and scalability over execution time or latency, which introduces certain bottle necks.  ... 
doi:10.5120/18980-0407 fatcat:qaixebzdyfhsld6qzqrsk3dd7i
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