Contact Project Developer Ashish D. Tiwari [astiwz@gmail.com]
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MMBcloud-tree- Authenticated Index for Verifiable Cloud Service Selection

MMBcloud-tree: Authenticated Index for Verifiable Cloud Service Selection
Abstract-Synopsis-Documentation

MMBcloud-tree: Authenticated Index for Verifiable Cloud Service Selection


Abstract:

Cloud brokers have been recently introduced as an additional computational layer to facilitate cloud selection and service management tasks for cloud consumers. However, existing brokerage schemes on cloud service selection typically assume that brokers are completely trusted, and do not provide any guarantee over the correctness of the service recommendations. It is then possible for a compromised or dishonest broker to easily take advantage of the limited capabilities of the clients and provide incorrect or incomplete responses. To address this problem, we propose an innovative Cloud Service Selection Verification (CSSV) scheme and index structures (MMBcloud-tree) to enable cloud clients to detect misbehavior of the cloud brokers during the service selection process. We demonstrate correctness and efficiency of our approaches both theoretically and empirically.

Flow Diagram:

Proposed System: 
we propose an innovative Cloud Service Selection Verification (CSSV) scheme and index structures (MMBcloud-tree) to enable cloud clients to detect misbehavior of the cloud brokers during the service selection process. We demonstrate correctness and efficiency of our approaches both theoretically and empirically. proposed a new performance measuring method for Infrastructure-as-Service offerings, taking into account the type of services running in a virtual machine. presented a framework for monitoring cloud performance based on customers’ feedback. Li and Wang in addition proposed a probability method to evaluate the subjective trustworthiness of the service component as well as the whole composite service from a series of ratings given by customers.
The range tree-based method proposed in needs to build and embed a Merkle hash tree for each node, and. this process is also recursively invoked for the nodes of the embedded Merkle hash tree, which makes index contruction, querying and verification extremely time consuming; the VB-tree in  is not efficient for queries on non-key properties because it will generate large size proof messages to cover the nodes in-between the query ranges but do not contain the query results. X`Han et al.  described a recommendation system in cloud computing suitable for design-time decisions as it statically provided a ranking of available cloud providers. Li et al. developed systematic comparator CloudCmp to help customers choose a cloud that meets their needs through measuring and comparing the elastic computing, persistent storage and networking services

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