Results 161 to 170 of about 6,213 (191)

Autoscaling Solutions for Cloud Applications Under Dynamic Workloads

IEEE Transactions on Services Computing
Giovanni Quattrocchi, Emilio Incerto, Riccardo Pinciroli, Catia Trubiani, Luciano Baresi   +4 more
openaire   +1 more source

Candidate serum metabolite biomarkers of subclinical Haemonchus contortus infection in sheep. [PDF]

Sci Rep
Jawad H, Gellatly D, Lei Y, Thompson S, Borzouie S, Osonowo O, Gilleard JS, Miar Y, Goldansaz SA, Manafiazar G.   +9 more
europepmc   +1 more source

Short- and long-term effects of transfusion in β-thalassemia: a longitudinal study of transfusion efficiency factors. [PDF]

Blood Adv
Theocharaki K, Barla I, Delicou S, Anastasiadi AT, Tzounakas VL, Rouvela S, Tzafa G, Stylianaki EA, Koufogeorgou EI, Gousdovas T, Pavlou E, Kostopoulos IV, Simantiris N, Vassilaki N, Moraki M, Stamoulis K, Voskaridou E, Nomikou E, Tsitsilonis O, Thomaidis N, Gikas E, Politou M, Komninaka V, Antonelou MH.   +23 more
europepmc   +1 more source

Lipidomic Profiling of Kidney Cortical Tubule Segments Identifies Lipotypes with Physiological Implications. [PDF]

Function (Oxf)
Cheval L, Poindessous V, Sampaio JL, Crambert G, Pallet N.   +4 more
europepmc   +1 more source

Intrauterine oxygen milieu governs placental sphingolipid metabolism. [PDF]

J Lipid Res
Sallais J, Post M, Caniggia I.
europepmc   +1 more source

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Practical Efficient Microservice Autoscaling

ACM SIGMETRICS Performance Evaluation Review, 2023
Motivation. In recent years, the adoption of microservices in production systems has been steadily growing. With their loosely-coupled and lightweight components, microservices are easier to manage than traditional monolithic applications. However, microservices introduce new challenges towards efficient resource management because their high number of
Md Rajib Hossen, Mohammad A. Islam
openaire   +1 more source

Autoscaling Performance Measurement Tool

Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018
More companies are shifting focus to adding more layers of virtualization for their cloud applications thus increasing the flexibility in development, deployment and management of applications. Increase in the number of layers can result in additional overhead during autoscaling and also in coordination issues while layers may use the same resources ...
Anshul Jindal, Vladimir Podolskiy, Michael Gerndt   +2 more
openaire   +1 more source

Autoscaling for Hadoop Clusters

2016 IEEE International Conference on Cloud Engineering (IC2E), 2016
Unforeseen events such as node failures and resource contention can have a severe impact on the performance of data processing frameworks, such as Hadoop, especially in cloud environments where such incidents are common. SLA compliance in the presence of such events requires the ability to quickly and dynamically resize infrastructure resources ...
Anshul Gandhi, Sidhartha Thota, Parijat Dube, Andrzej Kochut, Li Zhang   +4 more
openaire   +1 more source

Quantifying Cloud Elasticity with Container-Based Autoscaling

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017
Abstract Containers have been a pervasive approach to help rapidly develop, test and update the Internet of Things applications (IoT). The autoscaling of containers can adaptively allocate computing resources for various data volumes over time. Therefore, elasticity, a critical feature of a cloud platform, is significant to measure the performance of
Fan Zhang, Xuxin Tang, Xiu Li, Samee U. Khan, Zhijiang Li   +4 more
openaire   +1 more source

IaaS Reactive Autoscaling Performance Challenges

2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 2018
The main feature of a cloud application is its scalability. Major IaaS cloud services providers (CSP) employ autoscaling on the level of virtual machines (VM). Other virtualization solutions (e.g. containers, pods) can also scale. An application scales in response to change in observed metrics, e.g. in CPU utilization.
Vladimir Podolskiy, Anshul Jindal, Michael Gerndt   +2 more
openaire   +1 more source