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A fundamental challenge in large-scale cloud networks and data centers is to achieve highly efficient server utilization and limit energy consumption, while providing excellent user-perceived performance in the presence of uncertain and…

Probability · Mathematics 2017-06-23 Debankur Mukherjee , Souvik Dhara , Sem Borst , Johan S. H. van Leeuwaarden

Autoscaling is a critical component for efficient resource utilization with satisfactory quality of service (QoS) in cloud computing. This paper investigates proactive autoscaling for widely-used scaling-per-query applications where scaling…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-20 Huajie Qian , Qingsong Wen , Liang Sun , Jing Gu , Qiulin Niu , Zhimin Tang

Serverless computing has emerged as a promising computing paradigm for edge computing. However, adopting the event driven model in highly dynamic, heterogeneous, and distributed edge systems poses significant challenges in request placement…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-18 Chen Chen , Zihan Jia , Andrea Sabbioni , Reza Farahani , Lei Jiao

The pay-as-you-go model supported by existing cloud infrastructure providers is appealing to most application service providers to deliver their applications in the cloud. Within this context, elasticity of applications has become one of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-17 Rui Han

The architectural style of microservices has been gaining popularity in recent years. In this architectural style, small and loosely coupled modules are deployed and scaled independently to compose cloud-native applications. Carrier-grade…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-29 Leila Abdollahi Vayghan , Mohamed Aymen Saied , Maria Toeroe , Ferhat Khendek

This paper addresses the challenges of rapid resource variation and highly uncertain task loads in cloud computing environments. It proposes an optimization method for elastic cloud resource scaling based on a multi-agent system. The method…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-02 Bruce Fang , Danyi Gao

Microservices transform traditional monolithic applications into lightweight, loosely coupled application components and have been widely adopted in many enterprises. Cloud platform infrastructure providers enhance the resource utilization…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-10 Shengye Song , Minxian Xu , Zuowei Zhang , Chengxi Gao , Fansong Zeng , Yu Ding , Kejiang Ye , Chengzhong Xu

Microservice architectures have become the dominant paradigm for cloud-native systems, offering flexibility and scalability. However, this shift has also led to increased demand for cloud resources, contributing to higher energy consumption…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-13 Julian Legler , Sebastian Werner , Maria C. Borges , Stefan Tai

Power consumption in data centers has been growing significantly in recent years. To reduce power, servers are being equipped with increasingly sophisticated power management mechanisms. Different mechanisms offer dramatically different…

Performance · Computer Science 2014-04-22 Yanpei Liu , Stark C. Draper , Nam Sung Kim

For distributed applications to take full advantage of cloud computing systems, we need middleware systems that allow developers to build elasticity management components right into the applications. This paper describes the design and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-10 K. R. Jayaram

Autoscaling is a hallmark of cloud computing as it allows flexible just-in-time allocation and release of computational resources in response to dynamic and often unpredictable workloads. This is especially important for web applications…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-02-09 Nikolay Grozev , Rajkumar Buyya

Edge devices have limited resources, which inevitably leads to situations where stream processing services cannot satisfy their needs. While existing autoscaling mechanisms focus entirely on resource scaling, Edge devices require…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-30 Boris Sedlak , Philipp Raith , Andrea Morichetta , Víctor Casamayor Pujol , Schahram Dustdar

The Microservices Architecture (MSA) design pattern has become a staple for modern applications, allowing functionalities to be divided across fine-grained microservices, fostering reusability, distribution, and interoperability. As…

Software Engineering · Computer Science 2026-02-16 Juan Luis Herrera , Daniel Wang , Schahram Dustdar

Large scale applications are increasingly built by composing sets of microservices. In this model the functionality for a single application might be split across 100s or 1000s of microservices. Resource provisioning for these applications…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-03 Michael Alan Chang , Aurojit Panda , Yuan-Cheng Tsai , Hantao Wang , Scott Shenker

Scaling studies for industrial search, advertising, and recommendation have largely emphasized enlarging model capacity or refining architectures. Yet in real-world systems, performance is constrained not only by model size but also by the…

Information Retrieval · Computer Science 2026-05-25 Liren Yu , Caiyuan Li , Feiyi Dong , Tao Zhang , Zhixuan Zhang , Dan Ou , Haihong Tang , Bo Zheng

Microservice architectures are a popular choice for deploying large-scale data-intensive applications. This architectural style allows microservice practitioners to achieve requirements related to loose coupling, fault contention, workload…

Databases · Computer Science 2024-05-21 Rodrigo Laigner , Yongluan Zhou

Multi-tenancy in resource-constrained environments is a key challenge in Edge computing. In this paper, we develop 'DYVERSE: DYnamic VERtical Scaling in Edge' environments, which is the first light-weight and dynamic vertical scaling…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-24 Nan Wang , Michail Matthaiou , Dimitrios S. Nikolopoulos , Blesson Varghese

In business process landscapes, a common challenge is to provide the necessary computational resources to enact the single process steps. One well-known approach to solve this issue in a cost-efficient way is to use the notion of…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-15 Gerta Sheganaku , Stefan Schulte , Philipp Waibel , Ingo Weber

The dramatic development of cloud and edge computing allows for better Quality of Service (QoS) in many scenarios by deploying services on cloud and edge servers. Microservice technology is also adopted in these scenarios to decompose…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-23 Xiang He , Teng Wang , Lei Liu , Jianan Li , Zihang Su , Yingming Guo , Zhiying Tu , Hanchuan Xu , Zhongjie Wang

Current cloud services are moving away from monolithic designs and towards graphs of many loosely-coupled, single-concerned microservices. Microservices have several advantages, including speeding up development and deployment, allowing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-07 Yanqi Zhang , Yu Gan , Christina Delimitrou