Quality-aware Scheduling for Key-value Data Stores
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Beschreibung
Key-value stores, which are commonly used as data platform for various web applications, provide a distributed solution for cloud computing and big data management. In modern web applications, user experience satisfaction determines their success. In real application, different web queries or users produce different expectations in terms of query latency (i.e., Quality of Service (QoS)) and data freshness (i.e., Quality of Data (QoD)). Hence, the question of how to optimize QoS and QoD by scheduling queries and updates in key-value stores has become an essential research issue. This book comprehensively illustrates quality-ware scheduling in key-value stores. In addition, it provides scheduling strategies and a prototype framework for a quality-aware scheduler, as well as a demonstration of online applications. The book offers a rich blend of theory and practice, making it suitable for students, researchers and practitioners interested in distributed systems, NoSQL key-value stores and scheduling.
This book comprehensively illustrates quality-ware scheduling in key-value stores. In addition, it provides scheduling strategies and a prototype framework of quality-aware scheduler as well as a demonstration of online applications. The book offers a rich blend of theory and practice which is suitable for students, researchers and practitioners interested in distributed systems, NoSQL key-value stores and scheduling.
Provides a comprehensive overview on the related literature and research Describes the strategies of quality-aware scheduling for state-transfer updates and operation-transfer updates Presents a prototype of quality-aware scheduler and demonstrates the timeline query on a Microblogging application Includes supplementary material: sn.pub/extras
Autor*in
Chen Xu
Themen in »Quality-aware Scheduling for Key-value Data Stores«
Data Consistency Key-Value Stores Quality of Data Quality of Service Scheduling