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Resource and Scheduling Management in Cloud Computing Application Paradigm

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Cloud Computing

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

In the ‘Era of Peta’ processing level, which supports several concepts and practices in order to build highly scalable applications, there is a great need to have the offered services provided to the end-users, with the minimum possible reduction in quality in terms of time and availability. This chapter addresses some of these traditional concepts combined in a ‘multi-sharing’ cloud application environment and discusses how these concepts evolve in the context of cloud computing. The chapter also presents some unprecedented issues, such as resource allocation and management and the potential inefficiencies in the currently utilised APIs in the cloud computing application paradigm that have emerged through time. As the size of the cloud environment increases, efficient resource allocation and management become even more challenging, whereas the problem of optimisation in a large distributed environment under QoS constraints needs a potentially utility-oriented solution. Current methods, although efficient, need to be re-engineered encompassing methods suitable for distributed system optimisation for managing the future clouds. It also exposes the state-of-the-art techniques to provide efficient replicated storage according to the data semantic context and resource batching for satisfying users’ requests originating from anywhere anytime using both static and moving environments. The upcoming and current computing paradigm is envisioned to be offering synchronous and asynchronous services in the context of the cloud computing services paradigm. Cloud computing has evolved through the creation of a new service paradigm by utilising data centres and assembling services of networked virtual machines. Therefore, the availability of the requested resources by users poses a crucial parameter for the adequacy of the service provided. One of the major deployments of the cloud application paradigm is the virtual data centres (VDC). These are utilised by service providers which enable a virtual infrastructure in a distributed manner in various remotely hosted locations worldwide to provide accessibility and backup services in order to ensure reliability. This chapter also presents resource considerations and paradigms in the cloud environment describing the fundamental operations that are required for faster response time by distributing workload requests to multiple VCDs using certain resource manipulation techniques such as the Virtual Engine Migration (VEM) for resource availability and the associated resource management in VDCs using user-based VEM resource migration or virtual-to-virtual (V2V) resource migration.

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Author information

Authors and Affiliations

  1. School of Sciences, European University Cyprus, 6 Diogenous Str., 1516, Nicosia, Cyprus

    Katerina Papanikolaou

  2. Department of Computer Science, University of Nicosia, 46 Makedonitissas Avenue, 1700, Nicosia, Cyprus

    Constandinos Mavromoustakis

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  1. Katerina Papanikolaou
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  2. Constandinos Mavromoustakis
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Correspondence to Constandinos Mavromoustakis .

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Editors and Affiliations

  1. School of Computing, University of Derby, Kedleston Road, Derby, DE22 1GB, United Kingdom

    Zaigham Mahmood

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Papanikolaou, K., Mavromoustakis, C. (2013). Resource and Scheduling Management in Cloud Computing Application Paradigm. In: Mahmood, Z. (eds) Cloud Computing. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-4471-5107-4_6

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  • DOI: https://doi.org/10.1007/978-1-4471-5107-4_6

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5106-7

  • Online ISBN: 978-1-4471-5107-4

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