Cloud Data Management

Authors: Liang Zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya



Presents an end-to-end framework for consumer-centric SLA management of cloud-hosted databases

Introduces a novel influence-diagram-based cloud service composition approach

Includes analytical and simulational results to show the performance of the proposed composition approach

In practice, the design and architecture of a cloud varies among cloud providers. We present a generic evaluation framework for the performance, availability and reliability characteristics of various cloud platforms. We describe a generic benchmark architecture for cloud databases, specifically NoSQL database as a service. It measures the performance of replication delay and monetary cost.

Service Level Agreements (SLA) represent the contract which captures the agreed upon guarantees between a service provider and its customers. The specifications of existing service level agreements (SLA) for cloud services are not designed to flexibly handle even relatively straightforward performance and technical requirements of consumer applications. We present a novel approach for SLA-based management of cloud-hosted databases from the consumer perspective and an end-to-end framework for consumer-centric SLA management of cloud-hosted databases. The framework facilitates adaptive and dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and controlling the monetary cost of the allocated computing resources. In this framework, the SLA of the consumer applications are declaratively defined in terms of goals which are subjected to a number of constraints that are specific to the application requirements. The framework continuously monitors the application-defined SLA and automatically triggers the execution of necessary corrective actions (scaling out/in the database tier) when required. The framework is database platform-agnostic, uses virtualization-based database replication mechanisms and requires zero source code changes of the cloud-hosted software applications.

Table of contents

Front Matter

Introduction

Cloud Computing

Cloud-Hosted Data Storage Systems

Performance Evaluation Framework of Cloud Platforms

Database Replication of NoSQL Database-as-a-Service

Replicating Virtualized Database Servers

SLA-Driven Database Replication on Virtualized Database Servers

QoS-Aware Service Compositions in Cloud Computing

Big Data Processing Systems

Conclusions

Back Matter



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