1

Resilient stream processing in edge computing

The proliferation of Internet-of-Things (IoT) devicesis rapidly increasing the demands for efficient processing oflow latency stream data generated close to the edge of thenetwork. A large number of IoT applications require …

SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform

Advancements in distributed ledger technologies are driving the rise of blockchain-based social media platforms such as Steemit, where users interact with each other in similar ways as conventional social networks. These platforms are autonomously …

Sustainability-aware Resource Provisioning in Data Centers

In the big data era, cloud computing provides an effective usage model for providing computing services to handle diverse data-intensive workloads. Data center capacity planning and resource provisioning policies play a vital role in long-term life …

PADS: Privacy-preserving Auction Design forAllocating Dynamically Priced Cloud Resources

With the rapid growth of Cloud Computing technologies, enterprises are increasingly deploying their services in the Cloud. Dynamically priced cloud resources such as the Amazon EC2 Spot Instance provides an efficient mechanism for cloud service …

Cost-aware Resource Management for Federated Clouds Using Resource Sharing Contracts

Cloud computing and its pay-as-you-go model continue to provide significant cost benefits and a seamless service delivery model for cloud consumers. The evolution of small-scale and large-scale geo-distributed datacenters operated and managed by …

Zenith: Utility-aware Resource Allocation for Edge Computing

In the Internet of Things(IoT) era, the demands for low-latency computing for time-sensitive applications (e.g., location-based augmented reality games, real-time smart grid management, real-time navigation using wearables) has been growing rapidly. …