New Frontiers in Information and Software as Services
Service and Application Design Challenges in the Cloud
Erschienen am 28. Januar 2011
X, 301 Seiten
978-3-642-19294-4 (ISBN)
Beschreibung
The increasing costs of creating and maintaining infrastructures for delivering services to consumers have led to the emergence of cloud based third party service providers renting networks, computation power, storage, and even entire software application suites. On the other hand, service customers demand competitive pricing, service level agreements, and increased flexibility and scalability. Service consumers also expect process and data security, 24/7 service availability, and compliance with privacy regulations.
This book focuses on such challenges associated with the design, implementation, deployment, and management of data and software as a service. The 12 papers presented in this volume were contributed by leaders in academia and industry, and were reviewed and supervised by an expert editorial board. They describe cutting-edge approaches in areas like service design, service security, service optimization, and service migration.
Weitere Details
Weitere Ausgaben
Inhalt
- LNBIP 74
- Preface
- Table of Contents
- Service Design
- Study of Software as a Service Support Platform for Small and Medium Businesses
- Introduction
- SMBs Oriented SaaS Ecosystem
- Massive Multi-tenancy
- Overview of Multi-tenancy Patterns
- Cost-Effectiveness
- Security Isolation
- Performance Isolation
- Availability (Fault) Isolation
- Flexibility: Configuration and Customization
- Configuration and Customization in Multi-tenancy Environment
- Configuration and Customization Competency Model
- A Framework to Plan and Execute Configuration and Customization Strategy
- Service Lifecycle Management
- SaaS Service Lifecycle Overview
- Service Subscription Model
- Case Study: Service Subscription of the Retail B2B Case
- Related Work
- Summary
- References
- Design Patterns for Cloud Services
- Introduction
- Data Model
- Requirements of Cloud Services
- New Data Model: Uniquely Keyed Elements
- Data Access in the New Data Model
- Existing Cloud Data Stores
- Computing Model
- Large-Scale Data Processing
- Interactive Cloud Services
- Complex Service Compositions
- Distributed Agreement
- Consistency Model
- Weak Consistency due to Asynchronous Replications
- Possible Weak Consistency Models
- Conclusions and Future Works
- References
- Service Security
- Secure Data Management Service on Cloud Computing Infrastructures
- Introduction
- Background
- Encryption-Based Data Security
- Private Information Retrieval
- Information Distribution
- Overview of the Proposed Framework
- Practical Solutions for Secure Data Outsourcing
- Efficient Retrieval
- Query Processing
- ExactMatch Queries
- Range Queries
- Aggregation Queries
- Join Operations
- Extensions
- Different Types of Data
- Database Updates
- Fault-Tolerance
- Management of Private and Public Data
- Efficiency, Usability and Security Tradeoffs
- Concluding Remarks
- References
- Security Plans for SaaS
- Introduction
- SaaS Threat Model
- Provider-Originated Threats
- Architectural Threats
- SaaS Security Mechanisms and Best Practices
- Service Redundancy
- Diversity Implementation
- Isolation
- Channel Protection
- Access Control
- Service Integrity
- Accounting and Auditing
- Anomaly Detection
- Data Protection
- Assessing SaaS Security
- Risk Analysis When Planning SaaS
- Formal Model of SaaS Risks
- Examples of Risk Graphs Usage
- Conclusions
- References
- Service Optimization
- Runtime Web-Service Workflow Optimization
- Introduction
- Web Service Wrapping
- Workflow Modeling
- Stochastic Workflow Modeling
- Instance Critical Paths
- Critical Graph
- Resource Allocation
- Resource Model
- Algorithm
- Discussion
- Allocation Stability
- Asynchronous Messaging
- Limited Storage
- Experiments
- Related Work
- Conclusions
- References
- Adaptive Parallelization of Queries Calling Dependent Data Providing Web Services
- Introduction
- The WSMED System
- The Web Service Query Service
- WSMED Server Components
- The Web Service Schema
- Operation Wrapper Function
- Queries over Dependent Web Service Calls
- Motivating Scenario
- The Parallel Process Tree
- FF_APPLYP
- Query Parallelization in WSMED
- FF_APPLYP Performance
- Adaptive Apply in Parallel - AFF_APPLYP
- Related Work
- Conclusion
- References
- Data-Utility Sensitive Query Processing on Server Clusters to Support Scalable Data Analysis Services
- Introduction
- RanKloud: Scalable Middleware for Utility-Sensitive Data Processing on Server Clusters
- uSplit: Utility-Sensitive Data Partitioning for Parallel Top-k Join Processing
- Runtime Statistics Collection
- Allocation of the Data Sampling Budget
- Impact of the Sample Size on the Quality of Join Selectivity Estimates
- Selecting the Utility Partition Boundaries
- Discussion
- Computing the Lower Bound, $\Theta_k$
- Balanced Work Allocation
- Experiments
- Effectiveness of the Adaptive Sampling
- Impact of uSplit on Processing Times
- Conclusions
- References
- Multi-query Evaluation over Compressed XML Data in DaaS
- Introduction
- Related Work
- Preliminaries
- XPath Containment
- XML Compression Technique
- Structural Query Index Tree
- Query Translation
- Structural Query Index Tree
- Building the SQIT
- Multi-query Evaluation at the DSP
- Single Query Evaluation over the SXP
- Multi-query Evaluation over the SQIT
- Evaluation Strategy
- Experiments
- Experimental Setting
- The Building Performance of the SQIT
- Performance of Query Evaluation
- Comparison with SAXON
- Conclusion
- References
- The HiBench Benchmark Suite: Characterization of the MapReduce-Based Data Analysis
- Introduction
- Related Work
- The Hibench Suite
- Evaluation and Characterization
- Conclusion and Future Work
- References
- Multi-tenancy and Service Migration
- Enabling Migration of Enterprise Applications in SaaS via Progressive Schema Evolution
- Introduction
- Scope of Problem
- Design Approach
- Basic Migration Operators
- Cost Estimation for One Snapshot
- Check Point Selection
- Local Adaptive Model
- Global Adaptive Model
- Experimental Evaluation
- QueryWorkload
- Situations for Comparison
- Experimental Parameters
- PerformanceMeasurements
- Performance Results
- Related Works
- Conclusion and Further Work
- References
- Towards Analytics-as-a-Service Using an In-Memory Column Database
- Introduction
- The Rock Framework
- Update PropagationModel
- TREX Database
- Estimating OLAP Workload for an MCDB
- Analyzing Relation between Request Rate and Tenant Size
- Analyzing Relation between ReadWorkload and 99% Percentile Value
- Calculating Costs
- Cost/Performance Tradeoffs for High Availability
- Test Setup
- Comparing Throughput Using One Single Node
- Recovery from Log
- Comparing Throughput Using Multiple Nodes
- Evaluation
- Support for Historical Data
- Concepts for Archiving on Top of Rock
- Test Setup
- Related Work
- Capacity Planning andWorkload Models
- Highly Available Shared Nothing Architectures
- Temporal Databases and Historical Queries
- Conclusion
- References
- What Next?
- At the Frontiers of Information and Software as Services
- Introduction
- SLAs, SaaS Types, and Current Offerings
- Level 1: Ad-Hoc/Custom
- Level 2: Configurable
- Level 3: Configurable,Multi-tenant-Efficient
- Level 4: Scalable, Configurable,Multi-tenant-Efficient
- Modeling and Describing Business Logic
- Application Servers and Virtual Machines
- Multi-tenant Data Management
- Data Clouds for Large Scale Data Services
- MapReduce-Based Intensive Data Processing
- Beyond MapReduce
- Other Applied SaaS Systems
- Not Just Software
- Conclusions and the Future of Research and Development at the Frontier
- References
- Author Index
