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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

How can applications be deployed on the cloud to achieve maximum performance? This question is challenging to address with the availability of a wide variety of cloud Virtual Machines (VMs) with different performance capabilities. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-15 Blesson Varghese , Ozgur Akgun , Ian Miguel , Long Thai , Adam Barker

Cloud auto-scaling mechanisms are typically based on reactive automation rules that scale a cluster whenever some metric, e.g., the average CPU usage among instances, exceeds a predefined threshold. Tuning these rules becomes particularly…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-04 Giacomo Lanciano , Filippo Galli , Tommaso Cucinotta , Davide Bacciu , Andrea Passarella

Virtualization technology facilitates a dynamic, demand-driven allocation and migration of servers. This paper studies how the flexibility offered by network virtualization can be used to improve Quality-of-Service parameters such as…

Networking and Internet Architecture · Computer Science 2010-12-14 Dushyant Arora , Anja Feldmann , Gregor Schaffrath , Stefan Schmid

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

Cloud computing has recently emerged as a major trend in distributed computing. We proposed a platform for selecting and configuring automatically an appropriate cloud environment that meets a set of consumer and provider requirements. It…

Software Engineering · Computer Science 2021-04-05 Asmae Benali , Bouchra El Asri

In serverless computing, applications are executed under lightweight virtualization and isolation environments, such as containers or micro virtual machines. Typically, their memory allocation is set by the user before deployment. All other…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-01 Yuxuan Zhao , Alexandru Uta

How can applications be deployed on the cloud to achieve maximum performance? This question has become significant and challenging with the availability of a wide variety of Virtual Machines (VMs) with different performance capabilities in…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Blesson Varghese , Ozgur Akgun , Ian Miguel , Long Thai , Adam Barker

Efficient resource allocation is one of the critical performance challenges in an Infrastructure as a Service (IaaS) cloud. Virtual machine (VM) placement and migration decision making methods are integral parts of these resource allocation…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-12-04 Gaurav Somani , Prateek Khandelwal , Kapil Phatnani

As cloud applications shift from monoliths to loosely coupled microservices, application developers must decide how many compute resources (e.g., number of replicated containers) to assign to each microservice within an application. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-09 Vighnesh Sachidananda , Anirudh Sivaraman

Virtualization of network functions (as virtual routers, virtual firewalls, etc.) enables network owners to efficiently respond to the increasing dynamicity of network services. Virtual Network Functions (VNFs) are easy to deploy, update,…

Networking and Internet Architecture · Computer Science 2019-03-15 Sabidur Rahman , Tanjila Ahmed , Minh Huynh , Massimo Tornatore , Biswanath Mukherjee

We propose a simple yet effective policy for the predictive auto-scaling of horizontally scalable applications running in cloud environments, where compute resources can only be added with a delay, and where the deployment throughput is…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-05 Valentin Flunkert , Quentin Rebjock , Joel Castellon , Laurent Callot , Tim Januschowski

Upon the expansion of Cloud Computing and the positive outlook of organizations with regard to the movements towards using cloud computing and their expanding utilization of such valuable processing method, as well as the solutions provided…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-30 Yaghoob Siahmargooei , Mohammad Kazem Akbari , Seyyed Alireza Hashemi Golpayegani , Saeed Sharifian

Cloud computing has given the new face to the distributed field. Two main issues are discussed in this paper, (I) the process of finding the efficient virtual machine by using the concept of load balancing algorithm. (II) Reallocation of…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-16 Manan D. Shah , Harshad B. Prajapati

Automatic machine learning (AutoML) is a key enabler of the mass deployment of the next generation of machine learning systems. A key desideratum for future ML systems is the automatic selection of models and hyperparameters. We present a…

Machine Learning · Computer Science 2022-02-22 Moe Kayali , Chi Wang

This paper addresses the impact of Virtual Memory Streaming (VMS) technique in provisioning virtual machines (VMs) in cloud environment. VMS is a scaling virtualization technology that allows different virtual machines rapid scale, high…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-24 A B M Moniruzzaman , Kawser Wazed Nafi , Syed Akther Hossain

Modern Internet services are increasingly leveraging on cloud computing for flexible, elastic and on-demand provision. Typically, Quality of Service (QoS) of cloud-based services can be tuned using different underlying cloud configurations…

Software Engineering · Computer Science 2016-08-16 Tao Chen

With the ever increasing demands of cloud computing services, planning and management of cloud resources has become a more and more important issue which directed affects the resource utilization and SLA and customer satisfaction. But…

Performance · Computer Science 2014-02-17 Xiajun Wang , Song Huang , Song Fu , Krishna Kavi

The use of cloud technology can offer significant savings for the deployment of services, provided that the service is able to make efficient use of the available virtual resources to meet service-level requirements. To avoid software…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-10-27 Einar Broch Johnsen , Ka I Pun , S. Lizeth Tapia Tarifa

High intensive computation applications can usually take days to months to finish an execution. During this time, it is common to have variations of the available resources when considering that such hardware is usually shared among a…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-27 Kiran Mantripragada , Alecio Binotto , Leonardo P. Tizzei