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Cloud-TM: An Elastic, Self-Tuning Transactional Store for the Cloud

Cloud-TM: An Elastic, Self-Tuning Transactional Store for the Cloud
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Author(s): João Barreto (Technical University Lisbon, Portugal), Pierangelo Di Sanzo (Sapienza Università di Roma, Italy), Roberto Palmieri (Sapienza Università di Roma, Italy)and Paolo Romano (Technical University Lisbon, Portugal)
Copyright: 2015
Pages: 33
Source title: Cloud Technology: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-6539-2.ch035

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Abstract

By shifting data and computation away from local servers towards very large scale, world-wide spread data centers, Cloud Computing promises very compelling benefits for both cloud consumers and cloud service providers: freeing corporations from large IT capital investments via usage-based pricing schemes, drastically lowering barriers to entry and capital costs; leveraging the economies of scale for both services providers and users of the cloud; facilitating deployment of services; attaining unprecedented scalability levels. However, the promise of infinite scalability catalyzing much of the recent hype about Cloud Computing is still menaced by one major pitfall: the lack of programming paradigms and abstractions capable of bringing the power of parallel programming into the hands of ordinary programmers. This chapter describes Cloud-TM, a self-optimizing middleware platform aimed at simplifying the development and administration of applications deployed on large scale Cloud Computing infrastructures.

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