Taxonomy and issues for antifragile-based multimedia cloud computing

• Published in: Journal of reliable intelligent environments 2016-04, Vol.2 (1), p.37-49
• Main Authors: Haider, Syed Fawad, Abbas, Laraib, Ali, Amjad, Iqbal, Muddesar, Raza, Imran, Hussain, Syed Asad, Suh, Doug Young
• Format: Article
• Language: English
• Subjects: Artificial Intelligence; Computer Science; Health Informatics; Performance and Reliability; Review; Simulation and Modeling; Software Engineering/Programming and Operating Systems; User Interfaces and Human Computer Interaction
• ISSN: 2199-4668; 2199-4676
• DOI: 10.1007/s40860-016-0017-7

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 environment 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.