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Related papers: Investigations into Elasticity in Cloud Computing

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Cloud elasticity - the ability to use as much resources as needed at any given time - and low cost - a user pays only for the resources it consumes - represent solid incentives for many organizations to migrate some of their computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-07-15 Ashkan Paya , Dan C. Marinescu

Elasticity is one of key features of cloud computing. Elasticity allows Software as a Service (SaaS) applications' provider to reduce cost of running applications. In large SaaS applications that are developed using service-oriented…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-07 Ashraf A. Shahin

Cloud computing has become the leading paradigm for deploying large-scale infrastructures and running big data applications, due to its capacity of achieving economies of scale. In this work, we focus on one of the most prominent advantages…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-20 Athanasios Naskos , Emmanouela Stachtiari , Anastasios Gounaris , Panagiotis Katsaros , Dimitrios Tsoumakos , Ioannis Konstantinou , Spyros Sioutas

Elasticity is a cloud property that enables applications and its execution systems to dynamically acquire and release shared computational resources on demand. Moreover, it unfolds the advantage of economies of scale in the cloud through a…

Software Engineering · Computer Science 2017-02-27 Carlos Mera-Gómez , Francisco Ramírez , Rami Bahsoon , Rajkumar Buyya

Over the last couple of years, "Cloud Computing" or "Elastic Computing" has emerged as a compelling and successful paradigm for internet scale computing. One of the major contributing factors to this success is the elasticity of resources.…

Databases · Computer Science 2010-08-24 Sudipto Das , Divyakant Agrawal , Amr El Abbadi

We consider robust resource allocation of services in Clouds. More specifically, we consider the case of a large public or private Cloud platform that runs a relatively small set of large and independent services. These services are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-22 Olivier Beaumont , Lionel Eyraud-Dubois , Paul Renaud-Goud

Cloud-native applications are intentionally designed for the cloud in order to leverage cloud platform features like horizontal scaling and elasticity - benefits coming along with cloud platforms. In addition to classical (and very often…

Software Engineering · Computer Science 2018-02-13 Peter-Christian Quint , Nane Kratzke

Job scheduling in cloud computing environments is a critical yet complex problem. Cloud computing user job requirements are highly dynamic and uncertain, while cloud computing resources are heterogeneous and constrained. This paper studies…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-25 Guang Fang , Yuxiang Zhao

Under several emerging application scenarios, such as in smart cities, operational monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous data streams must be processed under very short delays. Several…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-05 Marcos Dias de Assuncao , Alexandre da Silva Veith , Rajkumar Buyya

With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-21 Stefan Schulte , Christian Janiesch , Srikumar Venugopal , Ingo Weber , Philipp Hoenisch

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 cloud is elasticity. It allows cloud users to acquire or…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-15 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

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

In cloud computing management, the dynamic adaptation of computing resource allocations under time-varying workload is an active domain of investigation. Several control strategies were already proposed. Here the model-free control setting…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-10 Maria Bekcheva , Michel Fliess , Cédric Join , Alireza Moradi , Hugues Mounier

We consider elastic resource provisioning in the cloud, focusing on in-memory key-value stores used as caches. Our goal is to dynamically scale resources to the traffic pattern minimizing the overall cost, which includes not only the…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-14 Damiano Carra , Giovanni Neglia , Pietro Michiardi

Cloud Computing is a paradigm of both parallel processing and distributed computing. It offers computing facilities as a utility service in pay as par use manner. Virtualization, self service provisioning, elasticity and pay per use are the…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-20 Syed Arshad Ali , Mansaf Alam

Auto-scalability has become an evident feature for cloud software systems including but not limited to big data and IoT applications. Cloud application providers now are in full control over their applications' microservices and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-10 Hamzeh Khazaei , Rajsimman Ravichandiran , Byungchul Park , Hadi Bannazadeh , Ali Tizghadam , Alberto Leon-Garcia

Elasticity is a form of self-adaptivity in cloud-based software systems that is typically restricted to the infrastructure layer and realized through auto-scaling. However, both reactive and proactive forms of infrastructure auto-scaling…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-16 Mohan Baruwal Chhetri , Abdur Rahim Mohammad Forkan , Anton V. Uzunov , Surya Nepal

The emergence of cloud computing has made dynamic provisioning of elastic capacity to applications on-demand. Cloud data centers contain thousands of physical servers hosting orders of magnitude more virtual machines that can be allocated…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Rajkumar Buyya , Kotagiri Ramamohanarao , Chris Leckie , Rodrigo N. Calheiros , Amir Vahid Dastjerdi , Steve Versteeg

Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-28 Mayanka Katyal , Atul Mishra

This paper proposes an architectural framework for the efficient orchestration of containers in cloud environments. It centres around resource scheduling and rescheduling policies as well as autoscaling algorithms that enable the creation…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-26 Rajkumar Buyya , Maria A. Rodriguez , Adel Nadjaran Toosi , Jaeman Park
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