A Software-Defined Cloud Resource Management Framework

• Published in: Advances in Services Computing pp. 61 - 75
• Main Authors: Abbasi, Aaqif Afzaal, Jin, Hai, Wu, Song
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 2015
• Series: Lecture Notes in Computer Science
• Subjects: Cloud computing; Fuzzy Analytical Hierarchy Process (Fuzzy-AHP); Network management; Resource management; Scheduling; Software-defined networking
• ISBN: 9783319269788; 331926978X
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-26979-5_5

Network systems employ policies that are inherently dynamic in nature and that depend on temporal conditions defined in terms of external events such as the measurement of bandwidth, use of hosts, intrusion detection or specific time events. Software-defined networking (SDN) offers the opportunity to make networks easier to configure by providing richer configuration methods. To reduce network monitoring costs and traffic overheads, herein, we propose a software-defined cloud resource management framework that uses a Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) to customize the network resource allocation. The framework can be incorporated into SDN-enabled cloud infrastructures by using an Application Program Interface (API). Using real-time data, we demonstrate that our framework can improve network resource management and is capable of handling increasing traffic requests. We also validate our framework efficiency through simulations.