Titlebook: Cloud Computing and Service Science; 7th International Co Donald Ferguson,Víctor Méndez Mu?oz,Claus Pahl Conference proceedings 2018 Spring

Taylor

書(shū)目名稱(chēng)Cloud Computing and Service Science影響因子(影響力)




書(shū)目名稱(chēng)Cloud Computing and Service Science影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Cloud Computing and Service Science網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Cloud Computing and Service Science網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Cloud Computing and Service Science被引頻次




書(shū)目名稱(chēng)Cloud Computing and Service Science被引頻次學(xué)科排名




書(shū)目名稱(chēng)Cloud Computing and Service Science年度引用




書(shū)目名稱(chēng)Cloud Computing and Service Science年度引用學(xué)科排名




書(shū)目名稱(chēng)Cloud Computing and Service Science讀者反饋




書(shū)目名稱(chēng)Cloud Computing and Service Science讀者反饋學(xué)科排名

Mutter

Conclusion: The Relevance of Comparative Lawa stable QoS performance in the post-deployment phase by helping decide on actions to be taken as well as providing support to achieve such actions. Additionally, we demonstrate the migration capability of MyMinder by proposing an Automated Triggering Algorithm (ATA), which uses existing Docker Swarm technology for application migration.

暖昧關(guān)系

https://doi.org/10.1007/978-3-030-13570-6long, we consider the test execution time as a secondary challenge. In this paper, we propose an approach that meets such challenges. Experimental results show that the proposed approach successfully reproduces elasticity-related bugs that face the listed challenges while reducing the execution time.

保存

Using Docker Swarm with a User-Centric Decision-Making Framework for Cloud Application Migration,a stable QoS performance in the post-deployment phase by helping decide on actions to be taken as well as providing support to achieve such actions. Additionally, we demonstrate the migration capability of MyMinder by proposing an Automated Triggering Algorithm (ATA), which uses existing Docker Swarm technology for application migration.

Acetabulum

牽連

1865-0929 ence, CLOSER 2017, held in Porto, Portugal, in April 2017. The 16 papers presented in this volume were carefully reviewed and selected from a total of 123 submissions. CLOSER 2017 focused on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, opera

牽連

Tristan Collier,Victoria Rizzardits a cost-efficient method for processing geospatial data, optimizing the number of data nodes in a SpatialHadoop cluster according to dataset size. With this, it is possible to analyse and compare the costs for this type of application on public cloud providers.

虛度

Cost Analysis for Big Geospatial Data Processing in Public Cloud Providers,ts a cost-efficient method for processing geospatial data, optimizing the number of data nodes in a SpatialHadoop cluster according to dataset size. With this, it is possible to analyse and compare the costs for this type of application on public cloud providers.

熱情的我

Component Migration in a Trans-cloud Environment,oud tool, we propose an algorithm for the migration of cloud applications’ components between different providers, possibly changing their service levels between IaaS and PaaS. We present an implementation of our proposed solution, and illustrate it with a case study and experimental results.

stress-test