Cloud database

Abstract: The rise of the Internet of Things has generated high expectations about the improvement in people's lifestyles. In the last decade, we saw several examples of instrumented cities where different types of data were gathered, processed, and made available to inspire the next generation of scientists and engineers. In this framework, sensors and actuators became leading actors of technologically pervasive urban environments. However, in coastal areas, marine data crowdsourcing is difficult to apply due to the challenging operational conditions, extremely unstable network connectivity, and security issues in data movement. To fill this gap, we present a novel version of our DYNAMO transfer protocol (DTP), a platform‐independent data mover framework where data collected on board of vessels are stored locally and then moved from the edge to the cloud when the operating conditions are favorable. We evaluate the performance of DTP in a controlled environment with a private cloud by measuring the time it takes for the clouds ide to process and store a fixed amount of data while varying the number of microservice instances. We show that the time decreases exponentially when the number of microservice instances goes from 1 to 16 and it remains constant above that number.

Abstract: The creation of the Sherpa cloud database taught three main lessons: Developing a good cloud API is an underappreciated art, developers should decide carefully what and what not to build, and real load testing is critical. Cloud platforms are evolving and becoming ever more complex. Initially, providers such as Amazon offered only simple resources such as storage and computation for rent. Now, many cloud providers offer higher level services with more features and semantics. Examples include:Google's AppEngine, which provides a full Web development platform; Amazon's various services, including Elastic MapReduce for complex computations over data;the Yahoo Query Language, a platform for combining Web data sources; cloud data-warehousing offerings such as Aster Data's cloud edition; andvarious open source tools for cloud computing developed by Cloudera and others.

Abstract: A cloud-based system having a secure database of certificate information and associated methods are provided. The system and methods may be used to supplement or replace traditional OCSP processing systems. Responses to OCSP requests are digitally signed and cached in a cloud database server remote from the requester. Other servers in the cloud may access the cached OCSP responses from the database server, rather than the originating certificate authority. Thus, the work traditionally done by the certificate authority is moved to the cloud, which eliminates a single point of failure and improves the resources available to perform transactional processing.

Abstract: The adoption of cloud computing transfers control of resources to cloud service providers. This transformation gives rise to variety of security and privacy issues which results into lack of trust of Cloud Client (CC) on Cloud Service Provider (CSP). Clients need a sense of trust on service provider in order to migrate their businesses to cloud platform. In this paper, an attempt has been made to design an improved Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) method based selection technique for choosing trustworthy Cloud Database Servers (CDSs). The selection technique utilizes multi attribute decision making approach for selecting trustworthy CDSs. The technique makes use of benchmark parameters to evaluate selection index of trustworthy CDSs. The selection index assists CCs in choosing the trustworthy CSPs. To demonstrate the proposed technique’s applicability to real cloud environment, a case study based evaluation has been performed. The case study has been designed and demonstrated using real cloud data collected from Cloud Harmony Reports. This data serves as the dataset for trust evaluation and CDS selection. The results demonstrate the effectiveness of the proposed selection technique in real cloud environment.