Optimization‐based workload distribution in geographically distributed data centers: A survey

[1]  Hao Wang,et al.  Proactive Demand Response for Data Centers: A Win-Win Solution , 2015, IEEE Transactions on Smart Grid.

[2]  Shang Mingsheng Optimal algorithm for scheduling large divisible workload on heterogeneous system , 2008 .

[3]  Waseem Ahmed,et al.  A survey on reliability in distributed systems , 2013, J. Comput. Syst. Sci..

[4]  Richard E. Brown,et al.  United States Data Center Energy Usage Report , 2016 .

[5]  Yves Robert,et al.  Optimal algorithms for scheduling divisible workloads on heterogeneous systems , 2003, Proceedings International Parallel and Distributed Processing Symposium.

[6]  Cong Shen,et al.  Online Geographical Load Balancing for Mobile Edge Computing with Energy Harvesting , 2017 .

[7]  Thomas F. Wenisch,et al.  PowerNap: eliminating server idle power , 2009, ASPLOS.

[8]  Lakshmi Ganesh Data Center Energy Management , 2012 .

[9]  Tao Zhang,et al.  A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center , 2016, Comput. Oper. Res..

[10]  Bruce M. Maggs,et al.  Cutting the electric bill for internet-scale systems , 2009, SIGCOMM '09.

[11]  D. Luenberger An approach to nonlinear programming , 1973 .

[12]  Abdulwahab Ali Almazroi,et al.  Energy Efficient Indivisible Workload Distribution in Geographically Distributed Data Centers , 2019, IEEE Access.

[13]  Rajiv Ranjan,et al.  Survey of Techniques and Architectures for Designing Energy-Efficient Data Centers , 2016, IEEE Systems Journal.

[14]  Yi Xu,et al.  Building cost efficient cloud data centers via geographical load balancing , 2017, 2017 IEEE Symposium on Computers and Communications (ISCC).

[15]  Susanne Albers,et al.  Online algorithms: a survey , 2003, Math. Program..

[16]  Rajesh Gupta,et al.  Energy Efficient Geographical Load Balancing via Dynamic Deferral of Workload , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[17]  Jun Wei,et al.  FD4C: Automatic Fault Diagnosis Framework for Web Applications in Cloud Computing , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[18]  Rolf Stadler,et al.  Resource Management in Clouds: Survey and Research Challenges , 2015, Journal of Network and Systems Management.

[19]  Yong Qi,et al.  Minimizing Electricity Bills for Geographically Distributed Data Centers with Renewable and Cooling Aware Load Balancing , 2015, 2015 International Conference on Identification, Information, and Knowledge in the Internet of Things (IIKI).

[20]  Anand Sivasubramaniam,et al.  Energy storage in datacenters: what, where, and how much? , 2012, SIGMETRICS '12.

[21]  Lin Yang,et al.  Competitive online algorithms for geographical load balancing in data centers with energy storage , 2016, E2DC@e-Energy.

[22]  Inderveer Chana,et al.  Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach , 2016, Journal of Grid Computing.

[23]  H. Jonathan Chao,et al.  JET: Electricity cost-aware dynamic workload management in geographically distributed datacenters , 2014, Comput. Commun..

[24]  Yves Robert,et al.  Scheduling divisible workloads on heterogeneous platforms , 2003, Parallel Comput..

[25]  Avnish Thakur,et al.  A taxonomic survey on load balancing in cloud , 2017, J. Netw. Comput. Appl..

[26]  Kailash Jayaswal Administering Data Centers: Servers, Storage, and Voice over IP , 2005 .

[27]  Shahaboddin Shamshirband,et al.  Sustainable Cloud Data Centers: A survey of enabling techniques and technologies , 2016 .

[28]  Lachlan L. H. Andrew,et al.  Geographical load balancing with renewables , 2011, PERV.

[29]  Ahmad Khademzadeh,et al.  A survey of fault tolerance architecture in cloud computing , 2016, J. Netw. Comput. Appl..

[30]  A. H. Glattfelder,et al.  Regelungssysteme Mit Begrenzungen (Control Systems with Constraints) , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[31]  Tao Jiang,et al.  Energy Cost Minimization for Distributed Internet Data Centers in Smart Microgrids Considering Power Outages , 2015, IEEE Transactions on Parallel and Distributed Systems.

[32]  Konstantinos Panagiotou,et al.  Optimal Algorithms for k-Search with Application in Option Pricing , 2007, Algorithmica.

[33]  Raghunath Othayoth Nambiar,et al.  Energy cost, the key challenge of today's data centers: a power consumption analysis of TPC-C results , 2008, Proc. VLDB Endow..

[34]  Wei Yu,et al.  An introduction to convex optimization for communications and signal processing , 2006, IEEE Journal on Selected Areas in Communications.

[35]  Xiaoming Fu,et al.  A Survey on Virtual Machine Migration: Challenges, Techniques, and Open Issues , 2018, IEEE Communications Surveys & Tutorials.

[36]  Jeffrey S. Vetter,et al.  A Survey of Methods for Analyzing and Improving GPU Energy Efficiency , 2014, ACM Comput. Surv..

[37]  Albert Y. Zomaya,et al.  Green Data Center Networks: Challenges and Opportunities , 2013, 2013 11th International Conference on Frontiers of Information Technology.

[38]  Xue Liu,et al.  A Survey on Geographic Load Balancing Based Data Center Power Management in the Smart Grid Environment , 2014, IEEE Communications Surveys & Tutorials.

[39]  Athanasios V. Vasilakos,et al.  Water-Constrained Geographic Load Balancing in Data Centers , 2017, IEEE Transactions on Cloud Computing.

[40]  Sparsh Mittal,et al.  A survey of techniques for improving energy efficiency in embedded computing systems , 2014, Int. J. Comput. Aided Eng. Technol..

[41]  BalakrishnanHari,et al.  Cutting the electric bill for internet-scale systems , 2009, SIGCOMM '09.

[42]  Valeriy Vyatkin,et al.  Cooling Energy Consumption Investigation of Data Center IT Room with Vertical Placed Server , 2017 .

[43]  Nasseh Tabrizi,et al.  A Taxonomy and Survey of Green Data Centers , 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

[44]  Anthony V. Fiacco,et al.  The Sequential Unconstrained Minimization Technique for Nonlinear Programing, a Primal-Dual Method , 1964 .

[45]  Athanasios V. Vasilakos,et al.  Thermal-Aware Scheduling of Batch Jobs in Geographically Distributed Data Centers , 2014, IEEE Transactions on Cloud Computing.

[46]  Rajkumar Buyya,et al.  Failure-aware resource provisioning for hybrid Cloud infrastructure , 2012, J. Parallel Distributed Comput..

[47]  Gilbert Fridgen,et al.  Compensating balancing demand by spatial load migration – The case of geographically distributed data centers , 2019, Energy Policy.

[48]  Javeria Iqbal,et al.  Optimal online $$k$$k-min search , 2015, EURO J. Comput. Optim..

[49]  Azizah Abdul Rahman,et al.  Validation of green it framework for implementing energy efficient green data centres: a case study , 2012 .

[50]  Wen-De Zhong,et al.  Price and renewable aware geographical load balancing technique for data centres , 2013, 2013 9th International Conference on Information, Communications & Signal Processing.

[51]  Major Singh Goraya,et al.  Fault tolerance in cloud computing environment: A systematic survey , 2018, Comput. Ind..

[52]  WangDi,et al.  Energy storage in datacenters , 2012 .

[53]  Xuan Wang,et al.  Resource provision algorithms in cloud computing: A survey , 2016, J. Netw. Comput. Appl..

[54]  HuangHejiao,et al.  Resource provision algorithms in cloud computing , 2016 .

[55]  Massoud Pedram,et al.  Force-directed geographical load balancing and scheduling for batch jobs in distributed datacenters , 2013, 2013 IEEE International Conference on Cluster Computing (CLUSTER).

[56]  Yuguang Fang,et al.  Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage , 2014, IEEE Transactions on Parallel and Distributed Systems.

[57]  Xiaohua Jia,et al.  Power Metering for Virtual Machine in Cloud Computing-Challenges and Opportunities , 2014, IEEE Access.

[58]  Eugenio Cesario,et al.  Efficient workload management in geographically distributed data centers leveraging autoregressive models , 2016 .

[59]  Lei Deng,et al.  Joint bidding and geographical load balancing for datacenters: Is uncertainty a blessing or a curse? , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[60]  Z. Song,et al.  Data Center Energy and Cost Saving Evaluation , 2015 .

[61]  Abdul Hameed,et al.  Future Generation Computer Systems ( ) – Future Generation Computer Systems a Taxonomy and Survey on Green Data Center Networks Keywords: Data Center Data Center Networks Network Architectures Network Performance Network Management Network Experimentation , 2022 .

[62]  Ivo F. Sbalzarini,et al.  Balancing indivisible real-valued loads in arbitrary networks , 2013, ArXiv.

[63]  Lachlan L. H. Andrew,et al.  Greening geographical load balancing , 2011, PERV.

[64]  Rafiqul Zaman Khan,et al.  A Systematic Review on Load Balancing Issues in Cloud Computing , 2019, Sustainable Communication Networks and Application.

[65]  Xin Wang,et al.  Robust geographical load balancing for sustainable data centers , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[66]  Subasish Mohapatra,et al.  Survey of Different Load Balancing Approach-Based Algorithms in Cloud Computing: A Comprehensive Review , 2018, Advances in Intelligent Systems and Computing.

[67]  Gerard F. Jones,et al.  A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities , 2014 .

[68]  Rajkumar Buyya,et al.  Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers , 2012, Concurr. Comput. Pract. Exp..

[69]  Chunlin Li,et al.  An effective scheduling strategy based on hypergraph partition in geographically distributed datacenters , 2020, Comput. Networks.

[70]  Chan-Hyun Youn,et al.  Energy and QoS aware resource allocation for heterogeneous sustainable cloud datacenters , 2017, Opt. Switch. Netw..

[71]  Bin Wang,et al.  Quality of service aware power management for virtualized data centers , 2013, J. Syst. Archit..

[72]  Massoud Pedram,et al.  Geographical Load Balancing for Online Service Applications in Distributed Datacenters , 2013, 2013 IEEE Sixth International Conference on Cloud Computing.

[73]  Xue Liu,et al.  A Survey on Green-Energy-Aware Power Management for Datacenters , 2014, ACM Comput. Surv..

[74]  Yonggang Wen,et al.  Data Center Energy Consumption Modeling: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[75]  Michael Hunter,et al.  Power Efficient Distributed Simulation , 2017, SIGSIM-PADS.

[76]  Rajkumar Buyya,et al.  Renewable-aware geographical load balancing of web applications for sustainable data centers , 2017, J. Netw. Comput. Appl..

[77]  Lotfi Mhamdi,et al.  A survey on architectures and energy efficiency in Data Center Networks , 2014, Comput. Commun..

[78]  Wen-De Zhong,et al.  Energy efficiency aware load distribution and electricity cost volatility control for cloud service providers , 2016, J. Netw. Comput. Appl..

[79]  Javier Fabra,et al.  Using Cloud-based Resources to Improve Availability and Reliability in a Scientific Workflow Execution Framework , 2013, CLOUD 2013.

[80]  Lachlan L. H. Andrew,et al.  Online algorithms for geographical load balancing , 2012, 2012 International Green Computing Conference (IGCC).

[81]  Naor Zohar Cost-adaptive load sharing for geographically distributed data center network , 2019 .

[82]  Montri Wiboonrat Data centre optimization for energy efficiency improvement , 2014, 2014 International Conference on Information Science, Electronics and Electrical Engineering.

[83]  Georgios B. Giannakis,et al.  DGLB: Distributed Stochastic Geographical Load Balancing over Cloud Networks , 2017, IEEE Transactions on Parallel and Distributed Systems.

[84]  Xue Liu,et al.  Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment , 2010, 2010 Proceedings IEEE INFOCOM.

[85]  Zhili Sun,et al.  A Survey of Power-Saving Techniques on Data Centers and Content Delivery Networks , 2013, IEEE Communications Surveys & Tutorials.

[86]  J. Amudhavel,et al.  A bio inspired Energy-Aware Multi objective Chiropteran Algorithm (EAMOCA) for hybrid cloud computing environment , 2014, 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE).

[87]  BuyyaRajkumar,et al.  Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers , 2012 .

[88]  Christian Blum,et al.  Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.

[89]  E. Polak Introduction to linear and nonlinear programming , 1973 .

[90]  Hamed Mohsenian Rad,et al.  Wholesale electricity pricing in the presence of geographical load balancing , 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.