Taxonomy and issues for antifragile-based multimedia cloud computing

Abstract

Cloud computing has become one of the most dynamic and adoptable computing paradigms. Multimedia Cloud Computing (MCC) is one of today's hot research topic. MCC is proven to be a most dynamic and efficient platform for managing a large amount of multimedia contents with maximum deployment of computing and processing resources at the service provider instead of users. Resilience and dependability are two key constituents to assure the reliability and availability of any service in the presence of errors and system failures. The heterogeneous environ-B Muddesar Iqbal ment of MCC has given rise to various challenges related to resource allocation and task management. Antifragility is a key to such environments, to let the disorder drive the strength of these systems. This paper is mainly divided into three parts. The first part discusses in detail the available state-of-the-art related to resource management under MCC. Similarly, the second part presents the comprehensive literature review on the task management in MCC. The third part presents the critical analysis and open research issues in MCC which help the researcher to define their research objectives in the field of MCC.

Resources Allocation Techniques in Cloud Computing

“…As long as it's viable, this method can't properly employ the amplified assets to boost production. The heap adjusting subterranean insect state streamlining calculation LBACO [1] correctly balances the heap of the complete framework while lowering the errand arrangement's makespan. Regardless of the circumstances, the duties cannot need a wide range of methods.…”