Cloud Computing

• Cloud computing projects are developed for academic students to submit their projects on the domain of cloud computing
• Usually, cloud computing projects are implemented on the basis of programming languages like java, dotnet and also cloudsim and cloud analyst simulation tools
• Cloud factors of scheduling, security, privacy and load balancing are important to excute concepts to communicate users onto the cloud

• Access Model
• Commercial model
• Time to Provision
• Management overhead

• Time effectiveness
• Flexibility and applicability
• Test policies in repeatable and controllable environment
• True system bottlenecks before deploying on real clouds

• To construct global enterprise network
• Minimal resource consumption
• Automatic updates for device operating systems
• Reduce latency time for discovering services
• Discovering web services in scalable manner

• Workflow Scheduling Algorithms
• Static scheduling algorithms
• Hybrid scheduling algorithm
• Real-Time Scheduling Algorithm
• Dynamic scheduling algorithms
• Resource Sharing algorithm
• Symmetric encryption algorithm
• Asymmetric encryption algorithm

• Online machine learning
• Public key replacement
• Storage optimization
• Data Access
• Ensure patch management
• Virtual firewall appliance
• Building fault tolerance
• Browser free device apps

List of Topics for cloud computing Projects

 A Cocktail Approach for Travel Package Recommendation
 A Fast Clustering-Based Feature Subset Selection Algorithm for High Dimensional Data
 A Hybrid Cloud Approach for Secure Authorized Deduplication
 A Load Balancing Model Based on Cloud Partitioning for the Public Cloud
 A Mixed Generative-Discriminative Based Hashing Method
 A Novel Recommendation Model Regularized with User Trust and Item Ratings
 A Privacy Leakage Upper Bound Constraint-Based Approach for Cost-Effective Privacy Preserving of Intermediate Data Sets in Cloud
 A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data
 A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data
 Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search
 Expressive, Efficient, and Revocable Data Access Control for Multi-Authority Cloud Storage
 Fast Nearest Neighbor Search with Keywords
 Fine-Grained Two-Factor Access Control for Web-Based Cloud Computing Services
 Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity Checking in Public Cloud
 Key-Aggregate Cryptosystem for Scalable Data Sharing in Cloud Storage
 K-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data
 Leveraging Data Deduplication to Improve the Performance of Primary Storage Systems in the Cloud
 Location Aware Keyword Query Suggestion Based on Document Proximity
 Making Digital Artifacts on the Web Verifiable and Reliable
 Motif-Based Hyponym Relation Extraction from Wikipedia Hyperlinks
 Nearest Keyword Set Search in Multi-Dimensional Datasets
 Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud
 PACK: Prediction-Based Cloud Bandwidth and Cost Reduction System
 Privacy Preserving Delegated Access Control in Public Clouds
 Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners in Cloud Computing
 Privacy-Preserving and Content-Protecting Location Based Queries
 A Secure Anti-Collusion Data Sharing Scheme for Dynamic Groups in the Cloud
 A Simple Message-Optimal Algorithm for Random Sampling from a Distributed Stream
 A Survey of XML Tree Patterns
 An Efficient File Hierarchy Attribute-Based Encryption Scheme in Cloud Computing
 An Efficient Privacy-Preserving Ranked Keyword Search Method
 Attribute-Based Data Sharing Scheme Revisited in Cloud Computing
 Automatically Mining Facets for Queries from Their Search Results
 Best Keyword Cover Search
 BFC: High-Performance Distributed Big-File Cloud Storage Based On Key-Value Store
 Booster in High Dimensional Data Classification
 Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation
 CAM: Cloud-Assisted Privacy Preserving Mobile Health Monitoring
 CDA Generation and Integration for Health Information Exchange Based on Cloud Computing System
 Circuit Ciphertext-Policy Attribute-Based Hybrid Encryption with Verifiable Delegation in Cloud Computing
 CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services
 Clustering Data Streams Based on Shared Density between Micro-Clusters
 Conditional Identity-Based Broadcast Proxy Re-Encryption and Its Application to Cloud Email
 Conjunctive Keyword Search With Designated Tester and Timing Enabled Proxy Re-Encryption Function for E-Health Clouds
 Context-Based Diversification for Keyword Queries Over XML Data
 Control Cloud Data Access Privilege and Anonymity With Fully Anonymous Attribute-Based Encryption
 Cost-Effective Authentic and Anonymous Data Sharing with Forward Security
 DARE: A Deduplication-Aware Resemblance Detection and Elimination Scheme for Data Reduction with Low Overheads
 Decentralized Access Control with Anonymous Authentication of Data Stored in Clouds
 DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud
 Distributed, Concurrent, and Independent Access to Encrypted Cloud Databases
 Domain-Sensitive Recommendation with User-Item Subgroup Analysis
 Dual-Server Public-Key Encryption With Keyword Search for Secure Cloud Storage
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