No abstract

Cloud computing is one of the most emerging industries and offers scalable computing resources and on-demand packages. A large number of cloud services are being offered by many service providers, a vendor supplies many services or same service is provided by many vendors, which creates the selection issue of appropriate cloud service from a big pool. Quality of service plays important role for better service choice. For this reason, cloud service recommendation systems are proposed in the literature that makes it easy for a user to decide which service to choose. However, user needs and requirements like economy, feedback, etc. are least considered, In our approach, an efficient cloud service recommendation system has been developed enabling users to hire a cloud service according to their own requirements. The aim is to test services according to user needs and some stated parameters. Users select the criteria from given parameter repository, the quality attributes like security, privacy, data storage, etc. and thus services are evaluated. Finally, results are shown providing user with the flexibility and opportunity to select best cloud service.

No abstract

Multiple myeloma (MM) is characterized by malignant proliferation of malignant plasma cells; it is the second most common hematological malignancy associated with significant morbidity. Genetic intricacy, instability, and diverse clinical presentations remain a barrier to cure. The treatment of MM is modernized with the introduction of newer therapeutics agents, i.e., target-specific monoclonal antibodies. The currently available literature lacks the benefits of newer targeted therapy being developed with an aim to reduce side effects and increase effectiveness, compared to conventional chemotherapy regimens. This article aims to review literature about the current available monoclonal antibodies, antibody-drug conjugates, and bispecific antibodies for the treatment of MM.