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Disaster Recovery (DR) is an essential trait for all enterprises to maintain Business Continuity and to survive if disaster happens. During the past decades, Cloud computing gained popularity for a DR site due to advantages like specialized management dealing with data, specialized & reliable devices with the advantage of economy of scale, optimum use of resources, and it can handle Big Data, Data Mining , Mobile Computing, Block chain, high performance computing tasks efficiently. Further enhancement in technology and benefits of cloud computing give birth to a new generation of cloud computing technology called Multi cloud computing. Both models Single-Cloud and Multi-Cloud environment provides DR sites and different geographical zones to deal with disaster, with a difference that Multi-cloud environment operates by different vendors and provides greater flexibility to users. For a DR site, the Single-Cloud paradigm poses risks for a DR site due to failure of single vendor services, monopoly, damage caused by human errors, fraudulent practices adopted by the vendor etc. Whereas Multi-Cloud environment, overcome this deficiency with better flexibility , control, cost advantage and decide which workloads are going to be run and where they should be run efficiently. Due to this Multi-cloud environment is preferred choice for Disaster Recovery (DR) site. The objective of this paper is to find out the optimal solution for the DR site.

Among all the cancer related deaths of non-skin type, Breast Cancer is the one having highest mortality rate. There are many methods such as Mammography, Magnetic Resonance Imaging, Positron Emission Tomography being employed for the cause of its detection. In all these methods there are certain drawback in terms of low sensitivity and specificity, or high radiation risk, case of false negative or false positive. These drawbacks have caused the researchers to come up with a technique based on microwave imaging which provides advantages over all these drawbacks. Here Sensors are developed to behave as a transceiver to incident and receive signals in the microwave frequency range. The purpose of this review paper was to discuss various systems developed so far based on microwave imaging for early detection of breast cancer. One of the most important advantages of using microwave imaging is that it provides better illumination of malignant tissue in this frequency range. Some of the prototypes are still in experimental phase where as other prototypes have been involved with the clinical experiments as well.

Laminated composite plates are well known structural member since last four decades because of its high stiffness and strength to weight ratio. Usually this type of structural members is subjected to partial biaxial loading during their functioning. For better safety and stability of structure, analysis of these structural member in that condition of loading is necessary. In this present analysis buckling response of laminated composite plates under biaxial partial in-plane loading is examined and effect of various parameters like aspect ratio, stacking sequence, fiber orientation and plate thickness ratio of nondimensionalised critical buckling load (NCBL) are revealed. A MATLAB program is developed higher order shear deformation theory based on finite element method for buckling analysis of laminated composite plate. Efficiency of the program is checked by comparing the result of the present work with that of already published which shows good favour of later one.

Laminated composite plates are inevitable parts of structure due to its superior properties than that of conventional material. Many times, these structural elements are subjected to the partial loadings during various applications which arises buckling in the elements. This necessitates proper analysis of these types of structural member for better safety and stability. In the present paper buckling analysis of laminated composite stiffened plate under in-plane localized edge loading is presented. Buckling load for various cases of partial edge loading are investigated for different fiber orientations and loading extent. Finite element method-based MATLAB program is developed for the present analysis. Validation study is done, which shows well agreement with the results already published.