Elasticity in cloud computing: state of the art and research challenges

Y Al-Dhuraibi, F Paraiso, N Djarallah… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …

Auto-scaling web applications in clouds: A taxonomy and survey

C Qu, RN Calheiros, R Buyya - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Web application providers have been migrating their applications to cloud data centers,
attracted by the emerging cloud computing paradigm. One of the appealing features of the …

Seer: Leveraging big data to navigate the complexity of performance debugging in cloud microservices

Y Gan, Y Zhang, K Hu, D Cheng, Y He… - Proceedings of the …, 2019 - dl.acm.org
Performance unpredictability is a major roadblock towards cloud adoption, and has
performance, cost, and revenue ramifications. Predictable performance is even more critical …

Heracles: Improving resource efficiency at scale

D Lo, L Cheng, R Govindaraju… - Proceedings of the …, 2015 - dl.acm.org
User-facing, latency-sensitive services, such as websearch, underutilize their computing
resources during daily periods of low traffic. Reusing those resources for other tasks is rarely …

Quasar: Resource-efficient and qos-aware cluster management

C Delimitrou, C Kozyrakis - ACM Sigplan Notices, 2014 - dl.acm.org
Cloud computing promises flexibility and high performance for users and high cost-efficiency
for operators. Nevertheless, most cloud facilities operate at very low utilization, hurting both …

Paragon: QoS-aware scheduling for heterogeneous datacenters

C Delimitrou, C Kozyrakis - ACM SIGPLAN Notices, 2013 - dl.acm.org
Large-scale datacenters (DCs) host tens of thousands of diverse applications each day.
However, interference between colocated workloads and the difficulty to match applications …

Q-learning based dynamic task scheduling for energy-efficient cloud computing

D Ding, X Fan, Y Zhao, K Kang, Q Yin, J Zeng - Future Generation …, 2020 - Elsevier
High energy consumption has become a growing concern in the operation of complex cloud
data centers due to the ever-expanding size of cloud computing facilities and the ever …

Energy aware edge computing: A survey

C Jiang, T Fan, H Gao, W Shi, L Liu, C Cérin… - Computer …, 2020 - Elsevier
Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …

Bubble-flux: Precise online qos management for increased utilization in warehouse scale computers

H Yang, A Breslow, J Mars, L Tang - ACM SIGARCH Computer …, 2013 - dl.acm.org
Ensuring the quality of service (QoS) for latency-sensitive applications while allowing co-
locations of multiple applications on servers is critical for improving server utilization and …

Selecting the best VM across multiple public clouds: a data-driven performance modeling approach

NJ Yadwadkar, B Hariharan, JE Gonzalez… - Proceedings of the …, 2017 - dl.acm.org
Users of cloud services are presented with a bewildering choice of VM types and the choice
of VM can have significant implications on performance and cost. In this paper we address …