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Inventi Impact - Cloud Computing

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    Journal Scope:

    Quarterly published in print and online ‘Inventi Rapid/Impact: Cloud Computing’ publishes high quality unpublished as well as high impact pre-published research and reviews catering to the needs of researchers and professionals. The journal covers all the advances in the growing field of cloud computing. Articles pertaining to following areas are particularly welcome: cloud architectures, infrastructures and workflows; cloud storage and data distribution; cloud messaging and database systems; virtual containers and portable applications; cloud security, trust and governance; migrating between grids and clouds; service oriented cloud architectures; evaluation of private, public and hybrid clouds and cloud bursting; cloud ecosystems etc.

  • STORAGE COST MINIMIZATION THROUGH ENHANCED LOSSLESS DATA COMPRESSION IN CLOUD BY USING HYBRID COMBINATION OF HUFFMAN CODING AND DYNAMIC BIT REDUCTION
    Shrikant Gurav*, Sandeep Sutar    Download Full Text

    Data compression is an area that needs to be given almost attention in text quality assessment. Different methodologies have been defined for this purpose. Hence choosing the best machine learning algorithm is really important. In addition to different compression technologies and methodologies, selection of a good data compression tool is most important. There is a complete range of different dat...

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  • SECURE ROLE BASED ACCESS POLICY FOR PHR USING HOMOMORPHIC CRYPTOSYSTEM
    Anuja Todkar*, Sandeep Sutar    Download Full Text

    Cloud computing is delivery of computing resources such as processing power, storage and networking as a service to users. Data stored on the cloud can be accessed by cloud service provider if stored in clear text, so data on public clouds should be encrypted and stored to avoid unauthorized access. Cloud users storing PHR on the cloud can be targeted and misused by advertising agencies and doctor...

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  • SECURE DECENTRALIZED DATA DEDUPLICATION IN CLOUD
    Yogesh Kokane, Siddheshwar V Patil*, Amol S Dange    Download Full Text

    Efficient storage as a service feature provided by the cloud storage providers has exploited the way data is stored by most of the users. Cloud storage providers offer a space on server that can be utilized by cloud users. Data grows at an impressive rate per year but point to be focused is out of that most of data is copy. Although keeping multiple copies of data helps to provide higher availabil...

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  • NETWORK INTRUSION DETECTION AND SELECTION OF COUNTERMEASURE ELECTION
    Neha Y Thukral*    Download Full Text

    We are too much dependent on computers and network these days and hence it has become important to provide security to computer and the network in order to protect our important data to get misused. Security of network is one of most important issues that have attracted a lot of researchers and development teams. Attackers can explore the weakness of a cloud system and compromise virtual machines ...

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  • DATA MANAGEMENT IN CLOUD ENVIRONMENTS: NOSQL AND NEWSQL DATA STORES
    Katarina Grolinger, Wilson A Higashino, Abhinav Tiwari, Miriam AM Capretz    Download Full Text

    Advances in Web technology and the proliferation of mobile devices and sensors connected to the Internet have resulted in immense processing and storage requirements. Cloud computing has emerged as a paradigm that promises to meet these requirements. This work focuses on the storage aspect of cloud computing, specifically on data management in cloud environments. Traditional relational databases w...

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  • AN IMPROVED TASK ASSIGNMENT SCHEME FOR HADOOP RUNNING IN THE CLOUDS
    Wei Dai, Mostafa Bassiouni    Download Full Text

    Nowadays, data-intensive problems are so prevalent that numerous organizations in various industries have to face them in their business operation. It is often crucial for enterprises to have the capability of analyzing large volumes of data in an effective and timely manner. MapReduce and its open-source implementation Hadoop dramatically simplified the development of parallel data-intensive comp...

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