• Preethi.S
• Raja.A

Many organizations transfer their data and workload to commercial cloud storage systems. However, present unpredictable data access latency to tenants the multiplexing and sharing of the resources in a cloud storage system , which may make online data-intensive applications unable to satisfy their deadline requirements. Thus, it is important for cloud storage systems to provide deadline guaranteed services. In this paper, to meet a current form of service level objective (SLO) that constrains the percentage of each tenant’s data access requests failing to meet its required deadline below a given threshold, we build a mathematical model to derive the upper bound of acceptable request arrival rate on each server. We then propose Deadline Guaranteed storage service (called DGCloud) that incorporates three basic algorithms. Its deadline-aware load balancing scheme redirects requests and creates replicas to release the excess load of each server beyond the derived upper bound. Its workload consolidation algorithm tries to maximally reduce servers while still satisfying the SLO to maximize the resource utilization. Its data placement optimization algorithm re-schedules the data placement to minimize the transmission cost of data replication. We further propose three enhancement methods to further improve the performance of DGCloud. A dynamic load balancing method allows an overloaded server to quickly offload its excess workload. A data request queue improvement method sets different priorities to the data responses in a server’s queue so that more requests can satisfy the SLO requirement. A wakeup server selection method selects a sleeping server that stores more popular data to wake up, which allows it to handle more data requests. Our trace-driven experiments in simulation and DriveHQ show the superior performance of DGCloud compared with previous methods in terms of deadline guarantees and system resource utilization, and the effectiveness of its individual algorithms.

CloudStorage,SLO,Deadline,ResourceUtilization

"TOWARDS DEADLINE GUARANTEED CLOUD STORAGE SERVICESss", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.383-387, June 2019, Available :http://www.jetir.org/papers/JETIR1906T45.pdf

"TOWARDS DEADLINE GUARANTEED CLOUD STORAGE SERVICESss", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp383-387, June 2019, Available at : http://www.jetir.org/papers/JETIR1906T45.pdf