Improvement and Analysis of Encryption and Decryption Performance in Cloud...
Cloud computing is the hot topic in recent years, and the cloud-based collaborative service is the emerging service. No matter where the users are or which computers the users use, it enables the cloud...
View ArticleOn Security Monitoring in SDNs A Strategic Outlook
The recently proposed Software-Defined Networking (SDN) paradigm aims at enabling rapid innovations and reducing operational cost in the network equipments with the separation of the control and data...
View ArticleEnabling High Performance Computing in Cloud Infrastructure using Virtualized...
With the advent of virtualization and Infrastructure-as-a-Service (IaaS), the broader scientific computing community is considering the use of clouds for their technical computing needs. This is due to...
View ArticleTowards Hybrid Online On-Demand Querying of Realtime Data with Stateful...
Emerging Big Data applications in areas like ecommerce and energy industry require both online and on-demand queries to be performed over vast and fast data arriving as streams. These present novel...
View ArticleScalable Many-Field Packet Classification on Multi-Core Processors
Packet classification matches a packet header against the predefined rules in a rule set; it is a kernel function that has been studied for decades. A recent trend in packet classification is to match...
View ArticleEnergy-Efficient Architecture for Stride Permutation on Streaming Data
Stride permutation is widely used in various digital signal processing algorithms when implementing on FPGAs. Permuting a long data sequence through hardware wiring leads to high area consumption and...
View ArticleEnergy-Efficient Median Filter on FPGA
Median filters are a popular method for noise extraction, with much work done in the community to achieve high throughput and low hardware cost. In contrast, energy efficiency remains an untapped area...
View ArticleEnergy-Efficient Large-Scale Matrix Multiplication on FPGAs
Energy efficiency has emerged as one of the key performance metrics in computing. In this paper, the authors present an energy efficient design for large-scale matrix multiplication. As a baseline...
View ArticleRouting and Staffing when Servers are Strategic
Traditionally, research focusing on the design of routing and staffing policies for service systems has modeled servers as having fixed (possibly heterogeneous) service rates. However, service systems...
View ArticleOrder Optimal Coded Delivery and Caching: Multiple Groupcast Index Coding
The capacity of caching networks has received considerable attention in the past few years. A particularly studied setting is the case of a single server (e.g., a base station) and multiple users, each...
View ArticleAn Electricity Trade Model for Microgrid Communities in Smart Grid
Distributed microgrid network is the major trend of future smart grid, which contains various kinds of renewable power generation centers and a small group of energy users. In the distributed power...
View ArticleBalancing On-Chip Network Latency in Multi-Application Mapping for...
As the number of cores continues to grow in Chip Multi-Processors (CMPs), application-to-core mapping algorithms that leverage the non-uniform on-chip resource access time have been receiving...
View ArticleA Game Theoretic Framework of SLA-Based Resource Allocation for Competitive...
Cloud computing is an emerging paradigm that allows the on-demand delivering of software, hardware, and data as services. It has attracted a lot of attention recently due to the increasing demand for...
View ArticleCaching Eliminates the Wireless Bottleneck in Video-Aware Wireless Networks
Cellular data traffic almost doubles every year, greatly straining network capacity. The main driver for this development is wireless video. Traditional methods for capacity increase (like using more...
View ArticleFloe: A Continuous Dataflow Framework for Dynamic Cloud Applications
Applications in cyber-physical systems are increasingly coupled with online instruments to perform long-running, continuous data processing. Such \"Always on\" dataflow applications are dynamic, where...
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