Time-, Energy-, and Monetary Cost-Aware Cache Design for a Mobile-Cloud Database System

• Published in: Biomedical Data Management and Graph Online Querying Vol. 9579; pp. 71 - 85
• Main Authors: Perrin, Mikael, Mullen, Jonathan, Helff, Florian, Gruenwald, Le, d’Orazio, Laurent
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2016; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Cache; Cloud; Energy consumption; Information retrieval; Mobile; Monetary cost
• ISBN: 3319415751; 9783319415758
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-41576-5_6

Growing demand for mobile access to data is only outpaced by the growth of large and complex data, accentuating the constrained nature of mobile devices. The availability and scalability of cloud resources along with techniques for caching and distributed computation can be used to address these problems, but bring up new optimization challenges, often with competing concerns. A user wants a quick response using minimal device resources, while a cloud provider must weigh response time with the monetary cost of query execution. To address these issues we present a three-tier mobile cloud database model and a decisional semantic caching algorithm that formalizes the query planning and execution between mobile users, data owners and cloud providers, allowing stake holders to impose constraints on time, money and energy consumption while understanding the possible tradeoffs between them. We use a hospital application as a user case.