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Transforming reactive auto-scaling into proactive auto-scaling
Proceedings of the 3rd International Workshop on Cloud Data and Platforms, 2013Elasticity is a key characteristic of cloud platforms enabling resource to be acquired on-demand in response to time-varying workloads. We introduce a new elasticity management framework that takes as input commonly used reactive rule-based scaling strategies but offers in return proactive auto-scaling.
Laura R. Moore +2 more
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Adaptive AI-based auto-scaling for Kubernetes
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2020Kubernetes, the prevalent container orchestrator for cloud-deployed web applications, offers an automatic scaling feature for the application provider in order to meet the ever-changing amount of demand from its clients. This auto-scaling service, however, requires a seemingly difficult parameter set to be customized by the application provider, and ...
László Toka +3 more
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A Virtualization Approach to Auto-Scaling Problem
2011 Eighth International Conference on Information Technology: New Generations, 2011The paper proposes to simulate feasibility of using virtualization technology to auto-scaling problem in cloud computing. It uses ARENA simulation software to build two different models. There are auto-scaling without server virtualization and auto-scaling with server virtualization.
Theera Thepparat +4 more
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Auto scaling of containerized ACSs for CPE management
2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2016The increased popularity of over-the-top (OTT) services such as voice calls and text messaging popular has a great impact on the business of traditional telecom operations. It is important for a telecommunications company to maximize resource utilization so as to decrease OPEX/CAPEX (Operating Expense/Capital Expenditure).
Tse-Han Wang +4 more
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Auto-Scaling in the Cloud Environment
2020Every software application has its own minimum set of requirements like CPU, storage, memory, networking, and power. These have to be integrated into a specific configuration to allow the smooth functioning of the software application. When data traffic becomes higher than expected, higher resources are required.
Ravindra Kumar Singh Rajput +1 more
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An Auto-Scaling Framework for Heterogeneous Hadoop Systems
International Journal of Cooperative Information Systems, 2017The scalability of the cloud infrastructure is essential to perform large-scale data processing using MapReduce programming model by automatically provisioning and de-provisioning the resources on demand. The existing MapReduce model shows performance degradation while getting adapted to heterogeneous environments since sufficient techniques are not ...
J. V. Bibal Benifa, Dejey
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Efficient Hybriding Auto-scaling for OpenStack Platforms
2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015The use of virtualization technology has gradually changed the way a datacenter works in recent years. Nowadays the end-users of a datacenter do not access physical resources directly. Instead, they access virtualized resources, such as VMs and virtual clusters, on top of a pool of physical resources. This new computing paradigm provides the datacenter
Chia-Ching Chen +3 more
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DDoS attack on cloud auto-scaling mechanisms
IEEE INFOCOM 2017 - IEEE Conference on Computer Communications, 2017Auto-scaling mechanisms are an important line of defense against Distributed Denial of Service (DDoS) in the cloud. Using auto-scaling, machines can be added and removed in an on-line manner to respond to fluctuating load. It is commonly believed that the auto-scaling mechanism casts DDoS attacks into Economic Denial of Sustainability (EDoS) attacks ...
Anat Bremler-Barr, Eli Brosh, Mor Sides
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An Auto-Scaling Framework for Containerized Elastic Applications
2017 3rd International Conference on Big Data Computing and Communications (BIGCOM), 2017Mechanisms for automatic resource provisioning in cloud environment have been widely studied. However, most current work are based on Virtual Machines(VMs) and few auto-scaling systems dedicated for containerized environment have been presented. This paper proposes an auto-scaler that caters for containerized elastic applications.
Ye Tian +3 more
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Categorization of Intercloud users and auto-scaling of resources
Evolutionary Intelligence, 2019Optimal allocation of resources in Intercloud computing is NP-complete program. Constraints are many and configuration of each cloud varies from each other. The mapping of the tasks to available virtual machines is challenging. In real life scenarios customer requirements may change.
Tamanna Jena +2 more
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