Abstract: Tail latency reduction improves service experience. User-facing latency-sensitive cloud applications typically have multiple interactive tiers (e.g., Web, App, Database) running in different VMs with complex interaction patterns. Previous VM consolidation methods neglected such VM-tier…
Abstract: Military and government agencies are becoming more interested in fog computing. The Internet-of-Things (IoT) and society’s interconnectivity contribute to this. Fog computing deployment requires privacy protection. This paper introduces fog-based access filter (FAF), a…
Abstract: Tenants want automatic MapReduce resource estimation tools to move cloud computing from pay-per-request to pay-per-use. These tools require accurate workload, resource, and completion time quantification. Prediction models exist. None of these models account for…
Abstract: Large-scale cloud infrastructure resource management requires improving data center energy efficiency while guaranteeing Quality of Service (QoS) and detecting server performance variability caused by hardware or software failures. Dynamic Virtual Machine (VM) consolidation works…
Abstract: MCC is promoted to improve mobile users’ service experience. MCC offloads computation-intensive applications from smart mobile devices (SMDs) to the cloud, but it also increases cloud center computing and storage overhead and wireless link…
Abstract: Healthcare Internet-of-Things (IoT) allows embedded devices to monitor patient vital signs and aggregate and outsource data to the cloud. The cloud lets authorized users store and share data for on-demand services. However, untrusted networks,…
Abstract: MapReduce frameworks will be used to analyze ever-growing data volumes as large-scale data analytics becomes standard in various industries. This encourages MapReduce migration to multi-tenant clouds. In a shared cluster, time-varying network bandwidth can…
Abstract: Resource-constrained mobile devices can benefit from mobile edge computing offloading. Computation offloading improves performance, but edge servers have capacity limits. This article considers a three-tier computation offloading schema with multiple users, edge servers, and…
Abstract: The cloud is unsuitable for real-time tasks with tight deadlines due to the communication delay to user tasks. Fog computing uses low-computing fog nodes, or cloudlets, near users to generate data. These cloudlets are…
Abstract: Cloud environments prioritize VM data and service reliability. Continuous Snapshots are preferred for long-running systems because they reduce data loss in failures. Existing methods have long VM downtime, snapshot intervals, and performance loss. iConSnap…
Abstract: Many customers store multiple copies of outsourced data on multiple cloud servers for durability and availability. Provable data possession (PDP) protocols for multi-copies ensure integrity. However, most previous PDP protocols store all copies on…
Abstract: Cloud storage is a major remote data management service, but encryption is the best way to prevent data disclosure. Since clients can search encrypted data files, public key encryption with keyword search (PKSE) is…
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