A Scalable and Semantic Data as a Service Marketplace for Enhancing Cloud-Based Applications
, Anastasios Nikolakopoulos 1, Achilleas Marinakis 1, Alexandros Psychas 1, Vrettos Moulos 1, Theodora Varvarigou 1 and Andreas Christou 1Round 1
Reviewer 1 Report
The paper presents a Data-Management-Service based on semantic resolution and a monitoring solution that improves ElasticSearch.
I could not grasp the idea of why ElasticSearch is relevant for a monitoring solution. I thought ElasticSearch is meant to manage logs of a cloud-service, but I am not an expert in this area. Therefore a background section should be added with the necessary information so the reader can better appreciate the contribution of this work.
The evaluation is very basic and segregated. It compares its own approach with ElasticSearch and (not other proposed approaches in the literature) and, secondly, it measures the effectiveness of the MongoDB scaler in different MongoDB cluster architectures. There is no holistic evaluation of the whole approach where both components of the solution are evaluated as a whole. Nonetheless, the evaluation of the different parts is sound and informative.
The English writing is sloppy. See attached PDF with different kinds of typos.
Comments for author File: 
Comments.pdf
Author Response
Point 1: I could not grasp the idea of why ElasticSearch is relevant for a monitoring solution. I thought ElasticSearch is meant to manage logs of a cloud-service, but I am not an expert in this area. Therefore a background section should be added with the necessary information so the reader can better appreciate the contribution of this work.
Response 1: We added a new paragraph explaining the relevance in line 161 of the revised document. We are explaining that ElasticSearch is being used in some relevant works as a means of quickly and efficiently accessing monitoring data and in our work it is being used as a basis for our monitoring solution. In essence we are building on it and expanding its functionality by adding APIs it is missing for our needs.
Point 2: The evaluation is very basic and segregated. It compares its own approach with ElasticSearch and (not other proposed approaches in the literature) and, secondly, it measures the effectiveness of the MongoDB scaler in different MongoDB cluster architectures. There is no holistic evaluation of the whole approach where both components of the solution are evaluated as a whole. Nonetheless, the evaluation of the different parts is sound and informative.
Response 2: Our aim was to show the improving of the overall quality of experience (QoE) of a user trying to locate and purchase data in a DaaS Marketplace. As such, we focused on showcasing the basic parts that affect this quality, such as the speed and accuracy of locating the data (ElasticSearch engine versus our recommendation solution) and the speed of data retrieval as well as the availability of data (scaling solutions). Since we are trying to improve the overall system performance we felt it was not necessary to showcase a holistic evaluation under specific use case scenarios.
Point 3: The English writing is sloppy. See attached PDF with different kinds of typos.
Response 3: All mentioned suggestions were taken into consideration and all typos pointed out were corrected in the revised document. Thank you.
Reviewer 2 Report
The paper's subject is of high interest, the method is sound, and the conclusions are mature enough for publishing.
The paper is a proposal for a method for giving scalability and semantic power for cloud-based application, which is a an interesting topic for Future Internet readers, given the prominence of this type of applications. The method is scientifically sound and brings some fresh air to the discussion on cloud-based solutions. The writing only needs some small revision
Author Response
Point 1: The paper is a proposal for a method for giving scalability and semantic power for cloud-based application, which is a an interesting topic for Future Internet readers, given the prominence of this type of applications. The method is scientifically sound and brings some fresh air to the discussion on cloud-based solutions. The writing only needs some small revision
Response 1: Thank you very much for your time. We have made some revisions to the wording and language of the document as suggested.
