{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T04:30:47Z","timestamp":1752985847805,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T00:00:00Z","timestamp":1656288000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["952215, 101070568, 734242"],"award-info":[{"award-number":["952215, 101070568, 734242"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,6,27]]},"DOI":"10.1145\/3524860.3539642","type":"proceedings-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T22:16:10Z","timestamp":1657923370000},"page":"103-114","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["AMESoS"],"prefix":"10.1145","author":[{"given":"Michail","family":"Tsenos","sequence":"first","affiliation":[{"name":"Athens University of Economics and Business, Athens, Greece"}]},{"given":"Aristotelis","family":"Peri","sequence":"additional","affiliation":[{"name":"Athens University of Economics and Business, Athens, Greece"}]},{"given":"Vana","family":"Kalogeraki","sequence":"additional","affiliation":[{"name":"Athens University of Economics and Business, Athens, Greece"}]}],"member":"320","published-online":{"date-parts":[[2022,7,15]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Amazon. https:\/\/aws.amazon.com\/lambda\/.  Amazon. https:\/\/aws.amazon.com\/lambda\/."},{"key":"e_1_3_2_1_2_1","unstructured":"Apache Flink. https:\/\/flink.apache.org\/.  Apache Flink. https:\/\/flink.apache.org\/."},{"key":"e_1_3_2_1_3_1","unstructured":"Apache Kafka. https:\/\/kafka.apache.org\/.  Apache Kafka. https:\/\/kafka.apache.org\/."},{"key":"e_1_3_2_1_4_1","unstructured":"Apache Mesos. https:\/\/mesos.apache.org\/.  Apache Mesos. https:\/\/mesos.apache.org\/."},{"key":"e_1_3_2_1_5_1","unstructured":"Apache OpenWhisk. https:\/\/openwhisk.apache.org\/.  Apache OpenWhisk. https:\/\/openwhisk.apache.org\/."},{"key":"e_1_3_2_1_6_1","unstructured":"Apache Spark. 2022. https:\/\/spark.apache.org\/.  Apache Spark. 2022. https:\/\/spark.apache.org\/."},{"key":"e_1_3_2_1_7_1","unstructured":"Apache Storm. https:\/\/storm.apache.org\/.  Apache Storm. https:\/\/storm.apache.org\/."},{"key":"e_1_3_2_1_8_1","unstructured":"Azure. https:\/\/github.com\/Azure\/AzurePublicDataset.  Azure. https:\/\/github.com\/Azure\/AzurePublicDataset."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"David Bermbach Ahmet-Serdar Karakaya and Simon Buchholz. 2020. Using Application Knowledge to Reduce Cold Starts in FaaS Services. 134--143.  David Bermbach Ahmet-Serdar Karakaya and Simon Buchholz. 2020. Using Application Knowledge to Reduce Cold Starts in FaaS Services. 134--143.","DOI":"10.1145\/3341105.3373909"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.2307\/2347162"},{"key":"e_1_3_2_1_11_1","unstructured":"Giuseppe Coviello Yi Yang Kunal Rao and Srimat Chakradhar. 2021. Magic-Pipe: Self-Optimizing Video Analytics Pipelines. In Middleware (Qu\u00e9bec city Canada).  Giuseppe Coviello Yi Yang Kunal Rao and Srimat Chakradhar. 2021. Magic-Pipe: Self-Optimizing Video Analytics Pipelines. In Middleware (Qu\u00e9bec city Canada)."},{"key":"e_1_3_2_1_12_1","unstructured":"Docker Swarm. https:\/\/docs.docker.com\/engine\/swarm\/.  Docker Swarm. https:\/\/docs.docker.com\/engine\/swarm\/."},{"key":"e_1_3_2_1_13_1","unstructured":"Fission. 2022. https:\/\/fission.io\/.  Fission. 2022. https:\/\/fission.io\/."},{"volume-title":"USENIX ATC.","author":"Fouladi Sadjad","key":"e_1_3_2_1_14_1","unstructured":"Sadjad Fouladi , Francisco Romero , Dan Iter , Qian Li , Shuvo Chatterjee , Christos Kozyrakis , Matei Zaharia , and Keith Winstein . 2019. From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers . In USENIX ATC. Renton, WA , 475--488. Sadjad Fouladi, Francisco Romero, Dan Iter, Qian Li, Shuvo Chatterjee, Christos Kozyrakis, Matei Zaharia, and Keith Winstein. 2019. From Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers. In USENIX ATC. Renton, WA, 475--488."},{"volume-title":"EdgeWise: A Better Stream Processing Engine for the Edge","author":"Fu Xinwei","key":"e_1_3_2_1_15_1","unstructured":"Xinwei Fu , Talha Ghaffar , James C. Davis , and Dongyoon Lee . 2019. EdgeWise: A Better Stream Processing Engine for the Edge . In USENIX ATC. USENIX Association , Renton, WA , 929--946. Xinwei Fu, Talha Ghaffar, James C. Davis, and Dongyoon Lee. 2019. EdgeWise: A Better Stream Processing Engine for the Edge. In USENIX ATC. USENIX Association, Renton, WA, 929--946."},{"key":"e_1_3_2_1_16_1","unstructured":"Google. 2022. https:\/\/cloud.google.com\/functions.  Google. 2022. https:\/\/cloud.google.com\/functions."},{"key":"e_1_3_2_1_17_1","unstructured":"Grafana. 2022. https:\/\/grafana.com\/.  Grafana. 2022. https:\/\/grafana.com\/."},{"volume-title":"Proceedings of the 21st ACM International Middleware Conference","author":"Gunasekaran Jashwant Raj","key":"e_1_3_2_1_18_1","unstructured":"Jashwant Raj Gunasekaran , Prashanth Thinakaran , Nachiappan C. Nachiappan , Mahmut Taylan Kandemir , and Chita R. Das . 2020. Fifer: Tackling Resource Underutilization in the Serverless Era . In Proceedings of the 21st ACM International Middleware Conference ( Delft, Netherlands). 280--295. Jashwant Raj Gunasekaran, Prashanth Thinakaran, Nachiappan C. Nachiappan, Mahmut Taylan Kandemir, and Chita R. Das. 2020. Fifer: Tackling Resource Underutilization in the Serverless Era. In Proceedings of the 21st ACM International Middleware Conference (Delft, Netherlands). 280--295."},{"key":"e_1_3_2_1_19_1","unstructured":"HashiCorp Nomad. 2022. https:\/\/www.nomadproject.io\/.  HashiCorp Nomad. 2022. https:\/\/www.nomadproject.io\/."},{"key":"e_1_3_2_1_20_1","unstructured":"Hey. https:\/\/github.com\/rakyll\/hey.  Hey. https:\/\/github.com\/rakyll\/hey."},{"volume-title":"14th EuroSys (Dresden, Germany).","author":"Kannan Ram Srivatsa","key":"e_1_3_2_1_21_1","unstructured":"Ram Srivatsa Kannan , Lavanya Subramanian , Ashwin Raju , Jeongseob Ahn , Jason Mars , and Lingjia Tang . 2019. GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks . In 14th EuroSys (Dresden, Germany). Ram Srivatsa Kannan, Lavanya Subramanian, Ashwin Raju, Jeongseob Ahn, Jason Mars, and Lingjia Tang. 2019. GrandSLAm: Guaranteeing SLAs for Jobs in Microservices Execution Frameworks. In 14th EuroSys (Dresden, Germany)."},{"key":"e_1_3_2_1_22_1","unstructured":"Knative. https:\/\/knative.dev\/docs\/.  Knative. https:\/\/knative.dev\/docs\/."},{"key":"e_1_3_2_1_23_1","unstructured":"Kubernetes. https:\/\/kubernetes.io\/.  Kubernetes. https:\/\/kubernetes.io\/."},{"key":"e_1_3_2_1_24_1","volume-title":"SIGKDD","author":"Liu J.","year":"2016","unstructured":"J. Liu , L. Sun , W. Chen , and H. Xiong . 2016. Rebalancing bike sharing systems: A multi-source data smart optimization ,. In SIGKDD 2016 . San Francisco, USA, 1005--1014. J. Liu, L. Sun, W. Chen, and H. Xiong. 2016. Rebalancing bike sharing systems: A multi-source data smart optimization,. In SIGKDD 2016. San Francisco, USA, 1005--1014."},{"key":"e_1_3_2_1_25_1","volume-title":"Towards Quantifiable Boundaries for Elastic Horizontal Scaling of Microservices. In ACM UCC 2017 (Companion Proceedings)","author":"L\u00f3pez Manuel Ram\u00edrez","year":"2017","unstructured":"Manuel Ram\u00edrez L\u00f3pez and Josef Spillner . 2017 . Towards Quantifiable Boundaries for Elastic Horizontal Scaling of Microservices. In ACM UCC 2017 (Companion Proceedings) ( Austin, Texas, USA). New York, NY, USA, 35--40. Manuel Ram\u00edrez L\u00f3pez and Josef Spillner. 2017. Towards Quantifiable Boundaries for Elastic Horizontal Scaling of Microservices. In ACM UCC 2017 (Companion Proceedings) (Austin, Texas, USA). New York, NY, USA, 35--40."},{"key":"e_1_3_2_1_26_1","volume-title":"Towards Quantifiable Boundaries for Elastic Horizontal Scaling of Microservices. In UCC 2017 (Companion Proceedings)","author":"L\u00f3pez Manuel Ram\u00edrez","year":"2017","unstructured":"Manuel Ram\u00edrez L\u00f3pez and Josef Spillner . 2017 . Towards Quantifiable Boundaries for Elastic Horizontal Scaling of Microservices. In UCC 2017 (Companion Proceedings) ( Austin, Texas, USA). New York, NY, USA, 35--40. Manuel Ram\u00edrez L\u00f3pez and Josef Spillner. 2017. Towards Quantifiable Boundaries for Elastic Horizontal Scaling of Microservices. In UCC 2017 (Companion Proceedings) (Austin, Texas, USA). New York, NY, USA, 35--40."},{"key":"e_1_3_2_1_27_1","unstructured":"Marathon. https:\/\/mesosphere.github.io\/marathon\/.  Marathon. https:\/\/mesosphere.github.io\/marathon\/."},{"key":"e_1_3_2_1_28_1","unstructured":"Microsoft. 2022. https:\/\/azure.microsoft.com\/en-us\/services\/functions\/.  Microsoft. 2022. https:\/\/azure.microsoft.com\/en-us\/services\/functions\/."},{"key":"e_1_3_2_1_29_1","unstructured":"OpenFaas. https:\/\/www.openfaas.com\/.  OpenFaas. https:\/\/www.openfaas.com\/."},{"key":"e_1_3_2_1_30_1","unstructured":"Prometheus. https:\/\/prometheus.io\/.  Prometheus. https:\/\/prometheus.io\/."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3472883.3486972"},{"volume-title":"13th ACM DEBS (Darmstadt, Germany). 31--42.","author":"Russo Gabriele","key":"e_1_3_2_1_32_1","unstructured":"Gabriele Russo , Valeria Cardellini , and Francesco Lo Presti . 2019. Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources . In 13th ACM DEBS (Darmstadt, Germany). 31--42. Gabriele Russo, Valeria Cardellini, and Francesco Lo Presti. 2019. Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources. In 13th ACM DEBS (Darmstadt, Germany). 31--42."},{"key":"e_1_3_2_1_33_1","unstructured":"Mohammad Shahrad Rodrigo Fonseca Inigo Goiri Gohar Chaudhry Paul Batum Jason Cooke Eduardo Laureano Colby Tresness Mark Russinovich and Ricardo Bianchini. 2020. Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider. In USENIX ATC.  Mohammad Shahrad Rodrigo Fonseca Inigo Goiri Gohar Chaudhry Paul Batum Jason Cooke Eduardo Laureano Colby Tresness Mark Russinovich and Ricardo Bianchini. 2020. Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider. In USENIX ATC."},{"volume-title":"TetriSched: Global Rescheduling with Adaptive Plan-Ahead in Dynamic Heterogeneous Clusters. In Eleventh ACM European Conference on Computer Systems","author":"Tumanov Alexey","key":"e_1_3_2_1_34_1","unstructured":"Alexey Tumanov , Timothy Zhu , Jun Woo Park , Michael A. Kozuch , Mor Harchol-Balter , and Gregory R. Ganger . 2016 . TetriSched: Global Rescheduling with Adaptive Plan-Ahead in Dynamic Heterogeneous Clusters. In Eleventh ACM European Conference on Computer Systems ( London, United Kingdom). Alexey Tumanov, Timothy Zhu, Jun Woo Park, Michael A. Kozuch, Mor Harchol-Balter, and Gregory R. Ganger. 2016. TetriSched: Global Rescheduling with Adaptive Plan-Ahead in Dynamic Heterogeneous Clusters. In Eleventh ACM European Conference on Computer Systems (London, United Kingdom)."},{"volume-title":"30th ACM HPDC (Sweden).","author":"Wang Bin","key":"e_1_3_2_1_35_1","unstructured":"Bin Wang , Ahmed Ali-Eldin , and Prashant Shenoy . 2021. LaSS: Running Latency Sensitive Serverless Computations at the Edge . In 30th ACM HPDC (Sweden). Bin Wang, Ahmed Ali-Eldin, and Prashant Shenoy. 2021. LaSS: Running Latency Sensitive Serverless Computations at the Edge. In 30th ACM HPDC (Sweden)."},{"key":"e_1_3_2_1_36_1","volume-title":"Lloyd","author":"Yu Hanfei","year":"2021","unstructured":"Hanfei Yu , Athirai A. Irissappane , Hao Wang , and Wes J . Lloyd . 2021 . FaaS-Rank: Learning to Schedule Functions in Serverless Platforms. In 2021 ACSOS. Washington, DC, USA , 31--40. Hanfei Yu, Athirai A. Irissappane, Hao Wang, and Wes J. Lloyd. 2021. FaaS-Rank: Learning to Schedule Functions in Serverless Platforms. In 2021 ACSOS. Washington, DC, USA, 31--40."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8621949"},{"key":"e_1_3_2_1_38_1","volume-title":"Maximizing Determinism in Stream Processing Under Latency Constraints. In DEBS 2017","author":"Zacheilas N.","year":"2017","unstructured":"N. Zacheilas , V. Kalogeraki , Y. Nikolakopoulos , M. Papatriantafilou V. Gulisano , and P. Tsigas:. 2017 . Maximizing Determinism in Stream Processing Under Latency Constraints. In DEBS 2017 ( Barcelona, Spain). N. Zacheilas, V. Kalogeraki, Y. Nikolakopoulos, M. Papatriantafilou V. Gulisano, and P. Tsigas:. 2017. Maximizing Determinism in Stream Processing Under Latency Constraints. In DEBS 2017 (Barcelona, Spain)."},{"key":"e_1_3_2_1_39_1","volume-title":"Rodrigo Fonseca, Sameh Elnikety, Christina Delimitrou, and Ricardo Bianchini.","author":"Zhang Yanqi","year":"2021","unstructured":"Yanqi Zhang , \u00cd\u00f1igo Goiri , Gohar Irfan Chaudhry , Rodrigo Fonseca, Sameh Elnikety, Christina Delimitrou, and Ricardo Bianchini. 2021 . Faster and Cheaper Serverless Computing on Harvested Resources. In ACM SOSP. 724--739. Yanqi Zhang, \u00cd\u00f1igo Goiri, Gohar Irfan Chaudhry, Rodrigo Fonseca, Sameh Elnikety, Christina Delimitrou, and Ricardo Bianchini. 2021. Faster and Cheaper Serverless Computing on Harvested Resources. In ACM SOSP. 724--739."}],"event":{"name":"DEBS '22: The 16th ACM International Conference on Distributed and Event-based Systems","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGSOFT ACM Special Interest Group on Software Engineering"],"location":"Copenhagen Denmark","acronym":"DEBS '22"},"container-title":["Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3524860.3539642","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3524860.3539642","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:36Z","timestamp":1750183776000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3524860.3539642"}},"subtitle":["a scalable and elastic framework for latency sensitive streaming pipelines"],"short-title":[],"issued":{"date-parts":[[2022,6,27]]},"references-count":39,"alternative-id":["10.1145\/3524860.3539642","10.1145\/3524860"],"URL":"https:\/\/doi.org\/10.1145\/3524860.3539642","relation":{},"subject":[],"published":{"date-parts":[[2022,6,27]]},"assertion":[{"value":"2022-07-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}