IJRCS – Volume 5 Issue 1 Paper 1

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OPTIMIZE THE CLOUD BY COMPACTING AND RIGHT-SIZING WITH MULTIPLE DEADLINES AND DATA LOCALITY

Author’s Name : S Pooja | S Ramya | S Praveen Kumar

Volume 05 Issue 01  Year 2018  ISSN No:  2349-3828  Page no: 1-4

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Abstract:

Cloud-based data processing continue to grow; cloud providers seek effective techniques that deliver value to the businesses without violating Service Level Agreements (SLAs). Cloud right-sizing has emerged as a very promising technique for making cloud services more cost-effective. In this system we present CRED, a novel framework for cloud right-sizing with multiple deadlines and data locality constraints. CRED jointly optimizes data placement and task scheduling in data centers with the aim of minimizing the number of nodes needed while meeting users SLA requirements. We formulate CRED as an integer optimization problem and we also extend our work to obtain a resilient solution, which allows successful recovery at run time from any single node failure and is guaranteed to meet both deadlines and locality constraints.

Keywords:

Cloud Right-Sizing, Data Locality, Multiple Deadlines, Failure Recovery

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