{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T10:10:13Z","timestamp":1767262213876,"version":"build-2065373602"},"reference-count":84,"publisher":"Walter de Gruyter GmbH","issue":"5-6","funder":[{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","award":["CREATE"],"award-info":[{"award-number":["CREATE"]}],"id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,16]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Artificial Intelligence (AI) and Internet of Things (IoT) applications are rapidly growing in today\u2019s world where they are continuously connected to the internet and process, store and exchange information among the devices and the environment. The cloud and edge platform is very crucial to these applications due to their inherent compute-intensive and resource-constrained nature. One of the foremost challenges in cloud and edge resource allocation is the efficient management of computation and communication resources to meet the performance and latency guarantees of the applications. Numerous research studies have been carried out to address this intricate problem. In this paper, the current state-of-the-art resource allocation techniques for the cloud continuum, in particular those that consider time-sensitive applications, are reviewed. Furthermore, we present the key challenges in the resource allocation problem for the cloud continuum, a taxonomy to classify the existing literature and the potential research gaps.<\/jats:p>","DOI":"10.1515\/itit-2020-0013","type":"journal-article","created":{"date-parts":[[2020,12,14]],"date-time":"2020-12-14T10:20:15Z","timestamp":1607941215000},"page":"241-255","source":"Crossref","is-referenced-by-count":8,"title":["A survey on time-sensitive resource allocation in the cloud continuum"],"prefix":"10.1515","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1894-4195","authenticated-orcid":false,"given":"Saravanan","family":"Ramanathan","sequence":"first","affiliation":[{"name":"TUMCREATE , 1 Create Way, #10-02 CREATE Tower , Singapore , Singapore"}]},{"given":"Nitin","family":"Shivaraman","sequence":"additional","affiliation":[{"name":"TUMCREATE , 1 Create Way, #10-02 CREATE Tower , Singapore , Singapore"}]},{"given":"Seima","family":"Suryasekaran","sequence":"additional","affiliation":[{"name":"TUMCREATE , 1 Create Way, #10-02 CREATE Tower , Singapore , Singapore"}]},{"given":"Arvind","family":"Easwaran","sequence":"additional","affiliation":[{"name":"Nanyang Technological University , N4-02a-32, Nanyang Avenue , Singapore , Singapore"}]},{"given":"Etienne","family":"Borde","sequence":"additional","affiliation":[{"name":"Telecom Paris , 19 Place Marguerite Perey , Palaiseau , France"}]},{"given":"Sebastian","family":"Steinhorst","sequence":"additional","affiliation":[{"name":"Technical University of Munich , Theresienstra\u00dfe 90 , M\u00fcnchen , Germany"}]}],"member":"374","published-online":{"date-parts":[[2020,12,5]]},"reference":[{"key":"2023033120444150843_j_itit-2020-0013_ref_001_w2aab3b7d628b1b6b1ab2ab1Aa","unstructured":"5G for business: a 2030 market compass [Ericsson Report]. Retrieved March 14, 2020 from https:\/\/www.ericsson.com\/4a8e35\/assets\/local\/5g\/the-5g-for-business-a-2030-compass-report-2019.pdf."},{"key":"2023033120444150843_j_itit-2020-0013_ref_002_w2aab3b7d628b1b6b1ab2ab2Aa","doi-asserted-by":"crossref","unstructured":"A. Abouaomar, A. Kobbane and S. Cherkaoui. Matching-Game for User-Fog Assignment. In: IEEE Global Communications Conference, 2018.","DOI":"10.1109\/GLOCOM.2018.8647545"},{"key":"2023033120444150843_j_itit-2020-0013_ref_003_w2aab3b7d628b1b6b1ab2ab3Aa","doi-asserted-by":"crossref","unstructured":"W. Bao, D. Yuan, B.\u2009B. Zhou and A.\u2009Y. Zomaya. Prune and Plant: Efficient Placement and Parallelism of Virtual Network Functions. IEEE Transactions on Computers, 2020.","DOI":"10.1109\/TC.2020.2967661"},{"key":"2023033120444150843_j_itit-2020-0013_ref_004_w2aab3b7d628b1b6b1ab2ab4Aa","doi-asserted-by":"crossref","unstructured":"R. Begam, H. Moradi, W. Wang and D. Zhu. Flexible VM Provisioning for Time-Sensitive Applications with Multiple Execution Options. In: IEEE International Conference on Cloud Computing, 2018.","DOI":"10.1109\/CLOUD.2018.00023"},{"key":"2023033120444150843_j_itit-2020-0013_ref_005_w2aab3b7d628b1b6b1ab2ab5Aa","doi-asserted-by":"crossref","unstructured":"R. Begam, W. Wang and D. Zhu. TIMER-Cloud: Time-Sensitive VM Provisioning in Resource-Constrained Clouds. IEEE Transactions on Cloud Computing, 2020.","DOI":"10.1109\/TCC.2017.2777992"},{"key":"2023033120444150843_j_itit-2020-0013_ref_006_w2aab3b7d628b1b6b1ab2ab6Aa","doi-asserted-by":"crossref","unstructured":"Z. Cai, X. Li and R. Ruiz. Resource Provisioning for Task-Batch Based Workflows with Deadlines in Public Clouds. IEEE Transactions on Cloud Computing, 2019.","DOI":"10.1109\/TCC.2017.2663426"},{"key":"2023033120444150843_j_itit-2020-0013_ref_007_w2aab3b7d628b1b6b1ab2ab7Aa","doi-asserted-by":"crossref","unstructured":"R.\u2009N. Calheiros and R. Buyya. Meeting Deadlines of Scientific Workflows in Public Clouds with Tasks Replication. IEEE Transactions on Parallel and Distributed Systems, 2014.","DOI":"10.1109\/TPDS.2013.238"},{"key":"2023033120444150843_j_itit-2020-0013_ref_008_w2aab3b7d628b1b6b1ab2ab8Aa","unstructured":"J. Cao, K. Li and I. Stojmenovic. Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server Processors across Clouds and Data Centers. IEEE Transactions on Computers, 2014."},{"key":"2023033120444150843_j_itit-2020-0013_ref_009_w2aab3b7d628b1b6b1ab2ab9Aa","doi-asserted-by":"crossref","unstructured":"G. Castellano and F. Esposito and F. Risso. A Distributed Orchestration Algorithm for Edge Computing Resources with Guarantees. In: IEEE International Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737532"},{"key":"2023033120444150843_j_itit-2020-0013_ref_010_w2aab3b7d628b1b6b1ab2ac10Aa","doi-asserted-by":"crossref","unstructured":"Z. Chang, Z. Zhou, T. Ristaniemi and Z. Niu. Energy Efficient Optimization for Computation Offloading in Fog Computing System. In: IEEE Global Communications Conference, 2017.","DOI":"10.1109\/GLOCOM.2017.8254207"},{"key":"2023033120444150843_j_itit-2020-0013_ref_011_w2aab3b7d628b1b6b1ab2ac11Aa","doi-asserted-by":"crossref","unstructured":"X. Chen, L. Jiao, W. Li and X. Fu. Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing. IEEE\/ACM Transactions on Networking, 2016.","DOI":"10.1109\/TNET.2015.2487344"},{"key":"2023033120444150843_j_itit-2020-0013_ref_012_w2aab3b7d628b1b6b1ab2ac12Aa","doi-asserted-by":"crossref","unstructured":"L. Chen, S. Liu, B. Li and B. Li. Scheduling jobs across geo-distributed datacenters with max-min fairness. In: IEEE Conference on Computer Communications, 2017.","DOI":"10.1109\/INFOCOM.2017.8056949"},{"key":"2023033120444150843_j_itit-2020-0013_ref_013_w2aab3b7d628b1b6b1ab2ac13Aa","doi-asserted-by":"crossref","unstructured":"M. Chen, B. Liang and M. Dong. Joint offloading and resource allocation for computation and communication in mobile cloud with computing access point. In: IEEE Conference on Computer Communications, 2017.","DOI":"10.1109\/INFOCOM.2017.8057150"},{"key":"2023033120444150843_j_itit-2020-0013_ref_014_w2aab3b7d628b1b6b1ab2ac14Aa","doi-asserted-by":"crossref","unstructured":"S. Chen, L. Jiao, L. Wang and F. Liu. An Online Market Mechanism for Edge Emergency Demand Response via Cloudlet Control. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737574"},{"key":"2023033120444150843_j_itit-2020-0013_ref_015_w2aab3b7d628b1b6b1ab2ac15Aa","doi-asserted-by":"crossref","unstructured":"L. Chen and J. Xu. Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737654"},{"key":"2023033120444150843_j_itit-2020-0013_ref_016_w2aab3b7d628b1b6b1ab2ac16Aa","doi-asserted-by":"crossref","unstructured":"M. Chen, S. Huang, X. Fu, X. Liu and J. He. Statistical Model Checking-Based Evaluation and Optimization for Cloud Workflow Resource Allocation. IEEE Transactions on Cloud Computing, 2020.","DOI":"10.1109\/TCC.2016.2586067"},{"key":"2023033120444150843_j_itit-2020-0013_ref_017_w2aab3b7d628b1b6b1ab2ac17Aa","doi-asserted-by":"crossref","unstructured":"R. Cziva, C. Anagnostopoulos and D.\u2009P. Pezaros. Dynamic, Latency-Optimal vNF Placement at the Network Edge. In: IEEE Conference on Computer Communications, 2018.","DOI":"10.1109\/INFOCOM.2018.8486021"},{"key":"2023033120444150843_j_itit-2020-0013_ref_018_w2aab3b7d628b1b6b1ab2ac18Aa","doi-asserted-by":"crossref","unstructured":"Y. Dai, D. Xu, S. Maharjan and Y. Zhang. Joint Offloading and Resource Allocation in Vehicular Edge Computing and Networks. In: IEEE Global Communications Conference, 2018.","DOI":"10.1109\/GLOCOM.2018.8648004"},{"key":"2023033120444150843_j_itit-2020-0013_ref_019_w2aab3b7d628b1b6b1ab2ac19Aa","doi-asserted-by":"crossref","unstructured":"S. Di and C. Wang. Dynamic Optimization of Multiattribute Resource Allocation in Self-Organizing Clouds. IEEE Transactions on Parallel and Distributed Systems, 2013.","DOI":"10.1109\/TPDS.2012.144"},{"key":"2023033120444150843_j_itit-2020-0013_ref_020_w2aab3b7d628b1b6b1ab2ac20Aa","doi-asserted-by":"crossref","unstructured":"C. Ding, J. Wang, M. Cheng, C. Chang, J. Wang and M. Lin. Joint Beamforming and Computation Offloading for Multi-User Mobile-Edge Computing. In: IEEE Global Communications Conference, 2019.","DOI":"10.1109\/GLOBECOM38437.2019.9014314"},{"key":"2023033120444150843_j_itit-2020-0013_ref_021_w2aab3b7d628b1b6b1ab2ac21Aa","doi-asserted-by":"crossref","unstructured":"J. Du, L. Zhao, J. Feng and X. Chu. Computation Offloading and Resource Allocation in Mixed Fog\/Cloud Computing Systems with Min-Max Fairness Guarantee. IEEE Transactions on Communications, 2018.","DOI":"10.1109\/TCOMM.2017.2787700"},{"key":"2023033120444150843_j_itit-2020-0013_ref_022_w2aab3b7d628b1b6b1ab2ac22Aa","doi-asserted-by":"crossref","unstructured":"M. Du, Y. Wang, K. Ye and C. Xu. Algorithmics of Cost-Driven Computation Offloading in the Edge-Cloud Environment. IEEE Transactions on Computers, 2020.","DOI":"10.1109\/TC.2020.2976996"},{"key":"2023033120444150843_j_itit-2020-0013_ref_023_w2aab3b7d628b1b6b1ab2ac23Aa","doi-asserted-by":"crossref","unstructured":"R. Duan, R. Prodan and X. Li. Multi-Objective Game Theoretic Scheduling of Bag-of-Tasks Workflows on Hybrid Clouds. IEEE Transactions on Cloud Computing, 2014.","DOI":"10.1109\/CloudCom.2014.58"},{"key":"2023033120444150843_j_itit-2020-0013_ref_024_w2aab3b7d628b1b6b1ab2ac24Aa","doi-asserted-by":"crossref","unstructured":"N. Eshraghi and B. Liang. Joint Offloading Decision and Resource Allocation with Uncertain Task Computing Requirement. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737559"},{"key":"2023033120444150843_j_itit-2020-0013_ref_025_w2aab3b7d628b1b6b1ab2ac25Aa","doi-asserted-by":"crossref","unstructured":"J. Fan, X. Wei, T. Wang, T. Lan and S. Subramaniam. Deadline-Aware Task Scheduling in a Tiered IoT Infrastructure. In: IEEE Global Communications Conference, 2017.","DOI":"10.1109\/GLOCOM.2017.8255037"},{"key":"2023033120444150843_j_itit-2020-0013_ref_026_w2aab3b7d628b1b6b1ab2ac26Aa","doi-asserted-by":"crossref","unstructured":"G. Gao, M. Xiao, J. Wu, K. Han, L. Huang and Z. Zhao. Opportunistic Mobile Data Offloading with Deadline Constraints. IEEE Transactions on Parallel and Distributed Systems, 2017.","DOI":"10.1109\/TPDS.2017.2720741"},{"key":"2023033120444150843_j_itit-2020-0013_ref_027_w2aab3b7d628b1b6b1ab2ac27Aa","doi-asserted-by":"crossref","unstructured":"B. Gao, Z. Zhou, F. Liu and F. Xu. Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737543"},{"key":"2023033120444150843_j_itit-2020-0013_ref_028_w2aab3b7d628b1b6b1ab2ac28Aa","doi-asserted-by":"crossref","unstructured":"F. Giroire, N. Huin, A. Tomassilli and S. P\u00e9rennes. When Network Matters: Data Center Scheduling with Network Tasks. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737415"},{"key":"2023033120444150843_j_itit-2020-0013_ref_029_w2aab3b7d628b1b6b1ab2ac29Aa","doi-asserted-by":"crossref","unstructured":"L. Gu, D. Zeng, A. Barnawi, S. Guo and I. Stojmenovic. Optimal Task Placement with QoS Constraints in Geo-Distributed Data Centers Using DVFS. IEEE Transactions on Computers, 2015.","DOI":"10.1109\/TC.2014.2349510"},{"key":"2023033120444150843_j_itit-2020-0013_ref_030_w2aab3b7d628b1b6b1ab2ac30Aa","doi-asserted-by":"crossref","unstructured":"S. Guo, B. Xiao, Y. Yang and Y. Yang. Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing. In: IEEE International Conference on Computer Communications, 2016.","DOI":"10.1109\/INFOCOM.2016.7524497"},{"key":"2023033120444150843_j_itit-2020-0013_ref_031_w2aab3b7d628b1b6b1ab2ac31Aa","doi-asserted-by":"crossref","unstructured":"J. Guo, Z. Song, Y. Cui, Z. Liu and Y. Ji. Energy-Efficient Resource Allocation for Multi-User Mobile Edge Computing. In: IEEE Global Communications Conference, 2017.","DOI":"10.1109\/GLOCOM.2017.8254044"},{"key":"2023033120444150843_j_itit-2020-0013_ref_032_w2aab3b7d628b1b6b1ab2ac32Aa","doi-asserted-by":"crossref","unstructured":"Y. Han, Z. Zhao, J. Mo, C. Shu and G. Min. Efficient Task Offloading with Dependency Guarantees in Ultra-Dense Edge Networks. In: IEEE Global Communications Conference, 2019.","DOI":"10.1109\/GLOBECOM38437.2019.9013142"},{"key":"2023033120444150843_j_itit-2020-0013_ref_033_w2aab3b7d628b1b6b1ab2ac33Aa","unstructured":"J. Heydari, V. Ganapathy and M. Shah. Dynamic Task Offloading in Multi-Agent Mobile Edge Computing Networks. In: IEEE Global Communications Conference."},{"key":"2023033120444150843_j_itit-2020-0013_ref_034_w2aab3b7d628b1b6b1ab2ac34Aa","doi-asserted-by":"crossref","unstructured":"Z. Hu, B. Li, C. Chen and X. Ke. FlowTime: Dynamic Scheduling of Deadline-Aware Workflows and Ad-Hoc Jobs. In: IEEE International Conference on Distributed Computing Systems, 2018.","DOI":"10.1109\/ICDCS.2018.00094"},{"key":"2023033120444150843_j_itit-2020-0013_ref_035_w2aab3b7d628b1b6b1ab2ac35Aa","doi-asserted-by":"crossref","unstructured":"M. Jia, W. Liang, Z. Xu, M. Huang and Y. Ma, QoS-Aware Cloudlet Load Balancing in Wireless Metropolitan Area Networks. IEEE Transactions on Cloud Computing, 2020.","DOI":"10.1109\/TCC.2017.2786738"},{"key":"2023033120444150843_j_itit-2020-0013_ref_036_w2aab3b7d628b1b6b1ab2ac36Aa","doi-asserted-by":"crossref","unstructured":"X. Jin, F. Zhang, L. Wang, S. Hu, B. Zhou and Z. Liu. Joint Optimization of Operational Cost and Performance Interference in Cloud Data Centers. IEEE Transactions on Cloud Computing, 2017.","DOI":"10.1109\/TCC.2015.2449839"},{"key":"2023033120444150843_j_itit-2020-0013_ref_037_w2aab3b7d628b1b6b1ab2ac37Aa","doi-asserted-by":"crossref","unstructured":"S. Josilo and G. Dan. Wireless and Computing Resource Allocation for Selfish Computation Offloading in Edge Computing. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737480"},{"key":"2023033120444150843_j_itit-2020-0013_ref_038_w2aab3b7d628b1b6b1ab2ac38Aa","doi-asserted-by":"crossref","unstructured":"Y. Kao and B. Krishnamachari. Optimizing mobile computational offloading with delay constraints. In: IEEE Global Communications Conference, 2014.","DOI":"10.1109\/GLOCOM.2014.7037149"},{"key":"2023033120444150843_j_itit-2020-0013_ref_039_w2aab3b7d628b1b6b1ab2ac39Aa","doi-asserted-by":"crossref","unstructured":"Y. Kao, B. Krishnamachari, M. Ra and F. Bai. Hermes: Latency optimal task assignment for resource-constrained mobile computing. In: IEEE Conference on Computer Communications, 2015.","DOI":"10.1109\/INFOCOM.2015.7218572"},{"key":"2023033120444150843_j_itit-2020-0013_ref_040_w2aab3b7d628b1b6b1ab2ac40Aa","doi-asserted-by":"crossref","unstructured":"Q. Liu, T. Han and N. Ansari. Joint Radio and Computation Resource Management for Low Latency Mobile Edge Computing. In: IEEE Global Communications Conference, 2018.","DOI":"10.1109\/GLOCOM.2018.8647792"},{"key":"2023033120444150843_j_itit-2020-0013_ref_041_w2aab3b7d628b1b6b1ab2ac41Aa","doi-asserted-by":"crossref","unstructured":"D. Liu, A. Hafid and L. Khoukhi. Population Game Based Energy and Time Aware Task Offloading for Large Amounts of Competing Users. In: IEEE Global Communications Conference, 2018.","DOI":"10.1109\/GLOCOM.2018.8647522"},{"key":"2023033120444150843_j_itit-2020-0013_ref_042_w2aab3b7d628b1b6b1ab2ac42Aa","unstructured":"X. Ma, S. Wang, S. Zhang, P. Yang, C. Lin and X.\u2009S. Shen. Cost-Efficient Resource Provisioning for Dynamic Requests in Cloud Assisted Mobile Edge Computing. IEEE Transactions on Cloud Computing, 2019."},{"key":"2023033120444150843_j_itit-2020-0013_ref_043_w2aab3b7d628b1b6b1ab2ac43Aa","doi-asserted-by":"crossref","unstructured":"Y. Mao, J. Zhang, S.\u2009H. Song and K.\u2009B. Letaief. Power-Delay Tradeoff in Multi-User Mobile-Edge Computing Systems. In: IEEE Global Communications Conference, 2016.","DOI":"10.1109\/GLOCOM.2016.7842160"},{"key":"2023033120444150843_j_itit-2020-0013_ref_044_w2aab3b7d628b1b6b1ab2ac44Aa","doi-asserted-by":"crossref","unstructured":"J. Mei, K. Li, A. Ouyang and K. Li. A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing. IEEE Transactions on Computers, 2015.","DOI":"10.1109\/TC.2015.2401021"},{"key":"2023033120444150843_j_itit-2020-0013_ref_045_w2aab3b7d628b1b6b1ab2ac45Aa","doi-asserted-by":"crossref","unstructured":"J. Meng, H. Tan, C. Xu, W. Cao, L. Liu and B. Li. Dedas: Online Task Dispatching and Scheduling with Bandwidth Constraint in Edge Computing. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737577"},{"key":"2023033120444150843_j_itit-2020-0013_ref_046_w2aab3b7d628b1b6b1ab2ac46Aa","doi-asserted-by":"crossref","unstructured":"J. Meng, H. Tan, X. Li, Z. Han and B. Li. Online Deadline-Aware Task Dispatching and Scheduling in Edge Computing. IEEE Transactions on Parallel and Distributed Systems, 2020.","DOI":"10.1109\/TPDS.2019.2961905"},{"key":"2023033120444150843_j_itit-2020-0013_ref_047_w2aab3b7d628b1b6b1ab2ac47Aa","doi-asserted-by":"crossref","unstructured":"V. Millnert, J. Eker and E. Bini. Achieving Predictable and Low End-to-End Latency for a Network of Smart Services. In: IEEE Global Communications Conference, 2018.","DOI":"10.1109\/GLOCOM.2018.8647332"},{"key":"2023033120444150843_j_itit-2020-0013_ref_048_w2aab3b7d628b1b6b1ab2ac48Aa","unstructured":"V. Millnert, J. Eker and E. Bini. End-To-End Deadlines over Dynamic Topologies. In: Euromicro Conference on Real-Time Systems, 2019."},{"key":"2023033120444150843_j_itit-2020-0013_ref_049_w2aab3b7d628b1b6b1ab2ac49Aa","doi-asserted-by":"crossref","unstructured":"T.\u2009T. Nguyen and B.\u2009L. Long. Joint Computation Offloading and Resource Allocation in Cloud Based Wireless HetNets 2017. In: IEEE Global Communications Conference, 2017.","DOI":"10.1109\/GLOCOM.2017.8254705"},{"key":"2023033120444150843_j_itit-2020-0013_ref_050_w2aab3b7d628b1b6b1ab2ac50Aa","doi-asserted-by":"crossref","unstructured":"T. Ouyang, R. Li, X. Chen, Z. Zhou and X. Tang. Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737560"},{"key":"2023033120444150843_j_itit-2020-0013_ref_051_w2aab3b7d628b1b6b1ab2ac51Aa","doi-asserted-by":"crossref","unstructured":"A. Pang, W. Chung, T. Chiu and J. Zhang. Latency-Driven Cooperative Task Computing in Multi-user Fog-Radio Access Networks. In: International Conference on Distributed Computing Systems, 2017.","DOI":"10.1109\/ICDCS.2017.83"},{"key":"2023033120444150843_j_itit-2020-0013_ref_052_w2aab3b7d628b1b6b1ab2ac52Aa","doi-asserted-by":"crossref","unstructured":"J. Ren, G. Yu, Y. Cai, Y. He and F. Qu. Partial Offloading for Latency Minimization in Mobile-Edge Computing. In: IEEE Global Communications Conference, 2017.","DOI":"10.1109\/GLOCOM.2017.8254550"},{"key":"2023033120444150843_j_itit-2020-0013_ref_053_w2aab3b7d628b1b6b1ab2ac53Aa","doi-asserted-by":"crossref","unstructured":"M.\u2009A. Rodriguez and R. Buyya. Deadline Based Resource Provisioning and Scheduling Algorithm for Scientific Workflows on Clouds. IEEE Transactions on Cloud Computing, 2014.","DOI":"10.1109\/ICPP.2015.93"},{"key":"2023033120444150843_j_itit-2020-0013_ref_054_w2aab3b7d628b1b6b1ab2ac54Aa","doi-asserted-by":"crossref","unstructured":"U. Saleem, Y. Liu, S. Jangsher and Y. Li. Performance Guaranteed Partial Offloading for Mobile Edge Computing. In: IEEE Global Communications Conference, 2018.","DOI":"10.1109\/GLOCOM.2018.8647301"},{"key":"2023033120444150843_j_itit-2020-0013_ref_055_w2aab3b7d628b1b6b1ab2ac55Aa","doi-asserted-by":"crossref","unstructured":"T. Shi, H. Ma, G. Chen and S. Hartmann. Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment. IEEE Transactions on Parallel and Distributed Systems, 2020.","DOI":"10.1109\/ICWS49710.2020.00022"},{"key":"2023033120444150843_j_itit-2020-0013_ref_056_w2aab3b7d628b1b6b1ab2ac56Aa","doi-asserted-by":"crossref","unstructured":"T. Shu and C.\u2009Q. Wu. Performance Optimization of Hadoop Workflows in Public Clouds through Adaptive Task Partitioning. In: IEEE Conference on Computer Communications, 2017.","DOI":"10.1109\/INFOCOM.2017.8057204"},{"key":"2023033120444150843_j_itit-2020-0013_ref_057_w2aab3b7d628b1b6b1ab2ac57Aa","doi-asserted-by":"crossref","unstructured":"C. Sun, C. She and C. Yang. Energy-Efficient Resource Allocation for Ultra-Reliable and Low-Latency Communications. In: IEEE Global Communications Conference, 2017.","DOI":"10.1109\/GLOCOMW.2017.8269133"},{"key":"2023033120444150843_j_itit-2020-0013_ref_058_w2aab3b7d628b1b6b1ab2ac58Aa","doi-asserted-by":"crossref","unstructured":"S. Sundar and B. Liang. Offloading Dependent Tasks with Communication Delay and Deadline Constraint. In: IEEE Conference on Computer Communications, 2018.","DOI":"10.1109\/INFOCOM.2018.8486305"},{"key":"2023033120444150843_j_itit-2020-0013_ref_059_w2aab3b7d628b1b6b1ab2ac59Aa","doi-asserted-by":"crossref","unstructured":"H. Tan, Z. Han, X. Li and F.\u2009C.\u2009M. Lau. Online job dispatching and scheduling in edge-clouds. In: IEEE Conference on Computer Communications, 2017.","DOI":"10.1109\/INFOCOM.2017.8057116"},{"key":"2023033120444150843_j_itit-2020-0013_ref_060_w2aab3b7d628b1b6b1ab2ac60Aa","doi-asserted-by":"crossref","unstructured":"K.\u2009M. Tarplee, R. Friese, A.\u2009A. Maciejewski, H.\u2009J. Siegel and E.\u2009K.\u2009P. Chong. Energy and Makespan Tradeoffs in Heterogeneous Computing Systems using Efficient Linear Programming Techniques. IEEE Transactions on Parallel and Distributed Systems, 2016.","DOI":"10.1109\/TPDS.2015.2456020"},{"key":"2023033120444150843_j_itit-2020-0013_ref_061_w2aab3b7d628b1b6b1ab2ac61Aa","doi-asserted-by":"crossref","unstructured":"L. Tong and Y. Li and W. Gao. A Hierarchical Edge Cloud Architecture for Mobile Computing. In: IEEE International Conference on Computer Communications, 2016.","DOI":"10.1109\/INFOCOM.2016.7524340"},{"key":"2023033120444150843_j_itit-2020-0013_ref_062_w2aab3b7d628b1b6b1ab2ac62Aa","doi-asserted-by":"crossref","unstructured":"L. Tong and W. Gao. Application-aware traffic scheduling for workload offloading in mobile clouds. In: IEEE International Conference on Computer Communications, 2016.","DOI":"10.1109\/INFOCOM.2016.7524520"},{"key":"2023033120444150843_j_itit-2020-0013_ref_063_w2aab3b7d628b1b6b1ab2ac63Aa","unstructured":"T.\u2009T. Vu, N.\u2009V. Huynh, D.\u2009T. Hoang, D.\u2009N. Nguyen and E. Dutkiewicz. Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks. In: IEEE Global Communications Conference, 2018."},{"key":"2023033120444150843_j_itit-2020-0013_ref_064_w2aab3b7d628b1b6b1ab2ac64Aa","unstructured":"T.\u2009T. Vu, D.\u2009N. Nguyen, D.\u2009T. Hoang and E. Dutkiewicz. QoS-Aware Fog Computing Resource Allocation Using Feasibility-Finding Benders Decomposition. In: IEEE Global Communications Conference, 2019."},{"key":"2023033120444150843_j_itit-2020-0013_ref_065_w2aab3b7d628b1b6b1ab2ac65Aa","doi-asserted-by":"crossref","unstructured":"B. Wan, J. Dang, Z. Li, H. Gong, F. Zhang and S. Oh. Modeling Analysis and Cost-Performance Ratio Optimization of Virtual Machine Scheduling in Cloud Computing. IEEE Transactions on Parallel and Distributed Systems, 2020.","DOI":"10.1109\/TPDS.2020.2968913"},{"key":"2023033120444150843_j_itit-2020-0013_ref_066_w2aab3b7d628b1b6b1ab2ac66Aa","doi-asserted-by":"crossref","unstructured":"J. Wang, W. Bao, X. Zhu, L.\u2009T. Yang and Y. Xiang. FESTAL: Fault-Tolerant Elastic Scheduling Algorithm for Real-Time Tasks in Virtualized Clouds. IEEE Transactions on Computers, 2015.","DOI":"10.1109\/TC.2014.2366751"},{"key":"2023033120444150843_j_itit-2020-0013_ref_067_w2aab3b7d628b1b6b1ab2ac67Aa","doi-asserted-by":"crossref","unstructured":"L. Wei, C.\u2009H. Foh, B. He and J. Cai. Towards Efficient Resource Allocation for Heterogeneous Workloads in IaaS Clouds. IEEE Transactions on Cloud Computing, 2018.","DOI":"10.1109\/TCC.2015.2481400"},{"key":"2023033120444150843_j_itit-2020-0013_ref_068_w2aab3b7d628b1b6b1ab2ac68Aa","doi-asserted-by":"crossref","unstructured":"Q. Wu, F. Ishikawa, Q. Zhu, Y. Xia and J. Wen. Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds. IEEE Transactions on Parallel and Distributed Systems, 2017.","DOI":"10.1109\/TPDS.2017.2735400"},{"key":"2023033120444150843_j_itit-2020-0013_ref_069_w2aab3b7d628b1b6b1ab2ac69Aa","doi-asserted-by":"crossref","unstructured":"Y. Xiao and M. Krunz. QoE and power efficiency tradeoff for fog computing networks with fog node cooperation. In: IEEE Conference on Computer Communications, 2017.","DOI":"10.1109\/INFOCOM.2017.8057196"},{"key":"2023033120444150843_j_itit-2020-0013_ref_070_w2aab3b7d628b1b6b1ab2ac70Aa","doi-asserted-by":"crossref","unstructured":"Z. Xu, W. Liang, W. Xu, M. Jia and S. Guo. Efficient Algorithms for Capacitated Cloudlet Placements. IEEE Transactions on Parallel and Distributed Systems, 2016.","DOI":"10.1109\/TPDS.2015.2510638"},{"key":"2023033120444150843_j_itit-2020-0013_ref_071_w2aab3b7d628b1b6b1ab2ac71Aa","doi-asserted-by":"crossref","unstructured":"L. Yang, J. Cao, H. Cheng and Y. Ji. Multi-User Computation Partitioning for Latency Sensitive Mobile Cloud Applications. IEEE Transactions on Computers, 2015.","DOI":"10.1109\/TC.2014.2366735"},{"key":"2023033120444150843_j_itit-2020-0013_ref_072_w2aab3b7d628b1b6b1ab2ac72Aa","doi-asserted-by":"crossref","unstructured":"U. Yaqub and S. Sameh. Multi-Objective Resource Optimization for Hierarchical Mobile Edge Computing. In: IEEE Global Communications Conference, 2018.","DOI":"10.1109\/GLOCOM.2018.8648109"},{"key":"2023033120444150843_j_itit-2020-0013_ref_073_w2aab3b7d628b1b6b1ab2ac73Aa","doi-asserted-by":"crossref","unstructured":"B. Yin, Y. Cheng, L.\u2009X. Cai and X. Cao. Online SLA-Aware Multi-Resource Allocation for Deadline Sensitive Jobs in Edge-Clouds. In: IEEE Global Communications Conference, 2017.","DOI":"10.1109\/GLOCOM.2017.8254631"},{"key":"2023033120444150843_j_itit-2020-0013_ref_074_w2aab3b7d628b1b6b1ab2ac74Aa","doi-asserted-by":"crossref","unstructured":"R. Yu, G. Xue and X. Zhang. Application Provisioning in FOG Computing-enabled Internet-of-Things: A Network Perspective. In: IEEE Conference on Computer Communications, 2018.","DOI":"10.1109\/INFOCOM.2018.8486269"},{"key":"2023033120444150843_j_itit-2020-0013_ref_075_w2aab3b7d628b1b6b1ab2ac75Aa","doi-asserted-by":"crossref","unstructured":"L. Yu, T. Jiang, Y. Cao and Q. Qi. Joint Workload and Battery Scheduling with Heterogeneous Service Delay Guarantees for Data Center Energy Cost Minimization. IEEE Transactions on Parallel and Distributed Systems, 2015.","DOI":"10.1109\/TPDS.2014.2329491"},{"key":"2023033120444150843_j_itit-2020-0013_ref_076_w2aab3b7d628b1b6b1ab2ac76Aa","doi-asserted-by":"crossref","unstructured":"D. Zeng, L. Gu, S. Guo, Z. Cheng and S. Yu. Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System. IEEE Transactions on Computers, 2016.","DOI":"10.1109\/TC.2016.2536019"},{"key":"2023033120444150843_j_itit-2020-0013_ref_077_w2aab3b7d628b1b6b1ab2ac77Aa","doi-asserted-by":"crossref","unstructured":"Y. Zhan, S. Guo, P. Li and J. Zhang. A Deep Reinforcement Learning Based Offloading Game in Edge Computing. IEEE Transactions on Computers, 2020.","DOI":"10.1109\/GLOBECOM38437.2019.9013982"},{"key":"2023033120444150843_j_itit-2020-0013_ref_078_w2aab3b7d628b1b6b1ab2ac78Aa","doi-asserted-by":"crossref","unstructured":"Q. Zhang, M. Zhani, R. Boutaba and J. Hellerstein. Dynamic Heterogeneity-Aware Resource Provisioning in the Cloud. IEEE Transactions on Cloud Computing, 2014.","DOI":"10.1109\/ICDCS.2013.28"},{"key":"2023033120444150843_j_itit-2020-0013_ref_079_w2aab3b7d628b1b6b1ab2ac79Aa","doi-asserted-by":"crossref","unstructured":"D.\u2009Y. Zhang and D. Wang. An Integrated Top-down and Bottom-up Task Allocation Approach in Social Sensing based Edge Computing Systems. In: IEEE Conference on Computer Communications, 2019.","DOI":"10.1109\/INFOCOM.2019.8737409"},{"key":"2023033120444150843_j_itit-2020-0013_ref_080_w2aab3b7d628b1b6b1ab2ac80Aa","doi-asserted-by":"crossref","unstructured":"Q. Zhang, Y. Xiao, F. Liu, J.\u2009C.\u2009S. Lui, J. Guo and T. Wang. Joint Optimization of Chain Placement and Request Scheduling for Network Function Virtualization. In: IEEE International Conference on Distributed Computing Systems, 2017.","DOI":"10.1109\/ICDCS.2017.232"},{"key":"2023033120444150843_j_itit-2020-0013_ref_081_w2aab3b7d628b1b6b1ab2ac81Aa","unstructured":"H. Zhang, Y. Xiao, S. Bu, F.\u2009R. Yu, D. Niyato and Z. Han. Distributed Resource Allocation for Data Center Networks: A Hierarchical Game Approach. IEEE Transactions on Cloud Computing, 2020."},{"key":"2023033120444150843_j_itit-2020-0013_ref_082_w2aab3b7d628b1b6b1ab2ac82Aa","doi-asserted-by":"crossref","unstructured":"Z. Zheng and N.\u2009B. Shroff. Online multi-resource allocation for deadline sensitive jobs with partial values in the cloud. In: IEEE International Conference on Computer Communications, 2016.","DOI":"10.1109\/INFOCOM.2016.7524430"},{"key":"2023033120444150843_j_itit-2020-0013_ref_083_w2aab3b7d628b1b6b1ab2ac83Aa","doi-asserted-by":"crossref","unstructured":"L. Zhao, Y. Yang, A. Munir, A.\u2009X. Liu, Y. Li and W. Qu. Optimizing Geo-Distributed Data Analytics with Coordinated Task Scheduling and Routing. IEEE Transactions on Parallel and Distributed Systems, 2020.","DOI":"10.1109\/TPDS.2019.2938164"},{"key":"2023033120444150843_j_itit-2020-0013_ref_084_w2aab3b7d628b1b6b1ab2ac84Aa","doi-asserted-by":"crossref","unstructured":"X. Zhu, C. Chen, L.\u2009T. Yang and Y. Xiang. ANGEL: Agent-Based Scheduling for Real-Time Tasks in Virtualized Clouds. IEEE Transactions on Computers, 2015.","DOI":"10.1109\/TC.2015.2409864"}],"container-title":["it - Information Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyter.com\/view\/journals\/itit\/62\/5-6\/article-p241.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/itit-2020-0013\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/itit-2020-0013\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T10:13:51Z","timestamp":1680344031000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/itit-2020-0013\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,1]]},"references-count":84,"journal-issue":{"issue":"5-6","published-online":{"date-parts":[[2020,10,7]]},"published-print":{"date-parts":[[2020,12,16]]}},"alternative-id":["10.1515\/itit-2020-0013"],"URL":"https:\/\/doi.org\/10.1515\/itit-2020-0013","relation":{},"ISSN":["2196-7032","1611-2776"],"issn-type":[{"type":"electronic","value":"2196-7032"},{"type":"print","value":"1611-2776"}],"subject":[],"published":{"date-parts":[[2020,12,1]]}}}