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About 10,000 papers for “Scalability”

Scalability

Ian Taylor, Andrew Harrison · Computer communications and networks · 2008

Cited by 0

Scalability

Douglas J. Cumming, Douglas J. Cumming, Benjamin Hammer · 2025

Cited by 0

Scalability

Victor Nicola, Georgios Karagiannis, Spyros E. Polykalas · 2001

This chapter covers: Increasing the number of processors Increasing the number of nodes

Cited by 0

Scalability

Amarnag Subramanya, Partha Talukdar · Synthesis lectures on artificial intelligence and machine learning · 2014

Cited by 0

Scalability

Dirk Slama · 2023

Abstract The ultimate goal of the business strategy is to ensure that the business can be scaled up to the level that matches the business objectives. This is usually a step-by-step process, involving exploration, acquiring early adopters, and then continuously growing the business. Which of the methods that have worked for successfully scaling purely digital businesses can be adopted by AIoT-enabled businesses? What are the pitfalls of scaling up a digital/physical business? (Fig. 11.1).

Cited by 0Open access

Scalability

Teklu K. Tesfa, L. Ruby Leung, Maoyi Huang et al. · 2016

Cited by 0

Scalability

Rebecca Strauss, Austin Volz, William Lidwell · 2022

Cited by 0

Scalability

Buket Altınoba, Maria Männig, Ursula Ströbele · 2025

Cited by 0Open access

Scalability

Ronald C. Merrell, Charles R. Doarn · Telemedicine Journal and e-Health · 2019

Cited by 0

Scalability

2008

issues in MOOs: the role of object migration and replication Typically Multi-User Object-Oriented Environments (MOOs) are implemented using a client-server architecture, where a centralized server maintains the MOO state. Such architecture may limit the scalability of the MOO. This paper discusses the role of object migration and replication in the implementation of scalable MOOs.

Cited by 0

Scalability

Wolf, F. · JuSER (Forschungszentrum Jülich) · 2009

Cited by 0

Another Scalability is Possible! From Non-Scalability to Cosmolocal Scalability

Vasilis Kostakis, Lucas Lemos, Asimina Kouvara · tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society · 2024

This article addresses Anna Tsing’s critique of capitalist scalability by introducing the concept of “cosmolocal scalability” as an alternative to approaches that prioritise “scale-at-all-costs.” Cosmolocal scalability challenges the idea of homogeneous, frictionless expansion and instead proposes a context-responsive framework that values biodiversity, as well as the diverse ways of knowing and living. This framework enables local communities of practice to connect globally, fostering collaborative networks. Such connections are facilitated through digital tools and infrastructures that encourage the open exchange of knowledge, skills, and best practices as digital commons. By creating dynamic relationships between different scales – blending global connectivity with localised practices – cosmolocal initiatives nurture an ecosystem of adaptable, decentralised projects that aim to “scale wide” rather than “scale up.” While several challenges still need to be addressed, cosmolocal scalability presents a promising pathway for fostering new social relationships and modes of production, ultimately laying the groundwork for post-capitalist futures.

Cited by 2Open access

Motion information scalability for SNR scalability

Benoit Timmerman, Peter Amon, Andreas Hutter et al. · 2005

Due to the large expansion of heterogeneous networks, the scalability features of next generation video coding schemes have become a very important topic for future developments. These algorithms enable to generate a universal (temporally, spatially and SNR) scalable bit-stream so that the video may be decodable by any kind of device from a mobile phone with narrow bandwidth and small display to a PC with DSL connection and large TFT display. In this paper we present a new approach to improve the SNR scalability for scalable video schemes by combining motion information scalability and texture updates in order to get an optimal trade-off between motion and texture for a given bit-rate. Consequently we can better exploit the redundancy between successive frames than the current strategies based on requantization and/or bit-plane coding.

Cited by 0

Putting the “Scalability ” into Database Scalability Services

Charles Garrod, David Andersen, Anthony Tomasic · 2008

Applications deployed on the Internet are immediately accessible to a vast population of potential users, and as a result they tend to experience unpredictable and widely fluctuating demand. System administrators currently face a provisioning dilemma to address this demand: whether to (1) waste money by heavily overprovisioning systems, or (2) risk loss of availability during times of high demand. This problem is largely solved for static Web content, but existing approaches do not apply well to dynamic content produced by data-intensive Web applications for which a central database server limits scalability. To address this problem, we design and build a Database Scalability Service (DBSS), which can offer scalability to data-intensive Web applications as a third-party service much like Content Delivery Networks currently scale static Web content. The key challenge in building a DBSS is to enable the DBSS to off-load database requests from a content provider’s central database server while ensuring that the DBSS uses up-to-date, consistent data as the database is updated. In addition, a DBSS faces the additional problems of maintaining high quality of service for each content provider as well as guaranteeing the privacy of a content provider’s data. In this thesis, we focus on the scalability-related aspects of a DBSS. We design and evaluate a DBSS, called Ferdinand, that uses a multi-tiered caching architecture, with a local database cache at each Ferdinand

Cited by 0

Scalability Experiments

Mauro S. Innocente · Figshare · 2018

Experimental results for section "7.2.1 Scalability" of article entitled:"Self-Organising Swarms of Fire-Fighting Drones: Harnessing the Power of Collective Intelligence in Decentralised Multi-Robot Systems"

Cited by 0Open access

Photoshop scalability

ACM Case Study · Communications of the ACM · 2010

Clem Cole and Russell Williams discuss Photoshop's long history with parallelism, and what is now seen as the chief challenge.

Cited by 2Open access