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This paper presented a literature review about health information systems. Health information technology gives information about health section data and data generation, compilation, analyses and gives reliable information for policy and system development. Health information technology is based on efficiency, quality and cost of healthcare. There are positive influences of health information technologies on healthcare, but also some difficulties and failures that need more detail investigations in the future. The aim of this paper is given literature information for overview of health information systems in Turkey and other countries’ systems. The results would provide a useful approach for evaluating the positive and negative factors and give ideas for the health information system users and researcher in Turkey.

Health Information systems, Hospital information systems, healthcare, Turkey, Health information technology, Information Technology

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O. Sebetci and M. Aksel, "An Overview of the Studies of Health Information Systems in Turkey," International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.100-106, 2016.

With the rising popularity of Cloud computing and Mobile computing, different field, such as individuals, enterprises and research centers have started outsourcing their IT and computational requirement to on-demand cloud services. Many research works have been done on the load balanced issue for wireless sensor network or WSN in Mobile Cloud Computing. For supplying fast, reliable, secure data, collected by WSN to users through cloud is an important issue in Mobile Cloud Computing. Main limitation of WSN is it has limited energy resources, thus maximizing the lifetime of the sensor node; it is required to distribute the energy dissipated throughout the wireless sensor network, which is a critical problem. There are several existing clustering based algorithm in case of load distribution such as, K-means clustering, random clustering etc. In order to minimize maintenance and maximize overall system performance distribution of load to all sensor nodes not only cluster head node is preferable job. Here we present MapReduce based K-means clustering for load distribution equally to all sensor nodes for avoiding overload condition and optimized energy consumption in WSN. MapReduced based clustering method is desirable due to its scalability and fault tolerant property. In our approach, it reads data from and writes the output back to the sensor nodes once. We also show that our proposed algorithm gives better performance in comparison with other existing load distribution approach for WSN by optimizing overload condition from cluster head node [CH] in case of wireless sensor network.

Mobile Cloud Computing, Wireless Sensor Network, load distribution, Clustering, MapReduce, K-means

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Enakshmi Nandi and Debabrata Sarddar, "A Modified MapReduce-K-Means Clustering Based Load Distribution Method for Wireless Sensor Network in Mobile Cloud computing," International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.107-110, 2016.

The growth amount of data, it has converted an important problem to minimize the storing space that form information conquers and the bandwidth ingestion through system broadcast. To attain advanced de-duplication elimination proportion, the out-dated way is to extend the variety of information for data de-duplication, but that would make meta-data areas larger and increase the several of meta-data objects. When identifying the redundant information meta-data needs to continuously introduced and transferred into the recollection and access block will be process. Data de-duplication is most significant methods for removing identical copies of frequent records. It has been mostly used in cloud storing to minimize the quantity of storing space. To defend the confidential approved identical check is used. Dissimilar from the out-dated duplicate scheme, dissimilar rights of consumer are measured also the records itself. We study this approved duplicate check in mixture cloud architecture. The crossbreed architecture suggests about together the Private and Public Cloud. The private cloud plays a significant role in this system, moreover the security of this system is less and the private cloud of this apparatus is not secure, unofficial data subsequent in fail in security. Basically, it provides more safety, the isolated cloud is providing with multilevel verification. We have showed that our system is providing privacy to data and more secure. This paper, brief study of existing scheme has been described along with the construction and algorithms.

Data De-duplication, Hybrid Cloud,Private and Public Cloud,Secure Data Architecture and Algorithms

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Faheem Ahmad Reegu, "A Review: Various Data De-Duplication Techniques to reduce memory consumption over Cloud Storage," International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.111-116, 2016.