Future Generation Computer Systems

Data fusion can effectively reduce the amount of data transmission and network energy consumption in wireless sensor networks (WSNs). However the existing data fusion schemes lead to additional delay overhead and power consumptions. In ...

• A data fusion algorithm based on hybrid delay-aware clustering is proposed.
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A partition-based hybrid hierarchical graph computation approach, called H²Pregel is proposed to address the redundant supersteps and inefficient computation problems due to low access locality. The H²Pregel preprocesses the input ...

• A distributed recode algorithm is proposed for graph preprocessing to ensure continuity and sequence of vertex ids.

The Probabilistic Semantic Link Network (P-SLN) is a model for enhancing the ability of Semantic Link Network in representing uncertainty. Probabilistic inference over uncertain semantic links can process the likelihood and consistency ...

• A formalism for Probabilistic Semantic Link Network P-SLN.
• A successful ...

Lightweight block ciphers are primarily designed for resource constrained devices. However, due to service requirements of large-scale IoT networks and systems, the need for efficient software implementations cannot be ruled out. A ...

• Software Implementations of Lightweight Block Ciphers
• Lookup table based ...

Cloud radio access networks (C-RANs) have been regarded in recent times as a promising concept in future 5G technologies where all DSP processors are moved into a central base band unit (BBU) pool in the cloud, and distributed remote ...

• A dynamic cell activation scheme is proposed in C-RAN using revised RL technique.

Making a decision to shift from in-house to cloud computing is not an ordinary one. It involves cautious consideration of several key factors. The unavailability of precise information, ambiguous criteria and uncertainty of qualitative ...

• A novel framework for Cloud Service Selection as a Service (CSSaaS) is proposed.

This paper proposes an approach based on genetic algorithms and evolutionary game theory in order to study the problem of forming highly profitable federated clouds, while maintaining stability among the members in the presence of ...

• Novel Cloud Federation Formation Models based on Genetic Algorithm and Evolutionary Game Theory.

The synergy between data security and high intensive computing has envisioned the way to robust anomaly detection schemes which in turn necessitates the need for efficient data analysis. Data clustering is one of the most important ...

• A new ensemble based anomaly detection technique i.e. BFA-PDBSCAN is proposed.
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Modern data centers improve resource utilization with power oversubscription. The power hierarchy in a data center is oversubscribed by installing more servers than allowed by the power budget based on server peak power consumption. ...

• Increasing server energy proportionality allows for higher power oversubscription.

The Fog computing paradigm is becoming prominent in supporting time-sensitive applications that are related to the smart Internet of Things (IoT) services, such as smart city and smart healthcare. Although Cloud computing is a ...

• A novel resource allocation method by ranking the resources based on their constraints.

One of the main challenges for developed cities is vehicle traffic and its management. Because of physical structures and cross roads of urban intersections, traffic flows may cause time delay, congestion, traffic accidents and more ...

• A SDN based VANET and its data cycle proposal for traffic management systems.
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The emergent communication technologies landscape has consolidated the anomaly-based intrusion detection paradigm as one of the most prominent solutions able to discover unprecedented malicious traits. It relied on building models of ...

• A Payload Analyzer for malware Detection robust against evasion is proposed.
• It ...

Information technology (IT) equipment and cooling infrastructure are key contributors to the total energy expenditure in a data center. There is typically significant power wastage due to inefficient cooling control and thermal-...

• Cooling unit settings are controlled to reduce server over-cooling.
• Joint ...

Cloud computing provides resources over the Internet and allows a plethora of applications to be deployed to provide services for different industries. The major bottleneck being faced currently in these cloud frameworks is their ...

• HealthFog is a real-life healthcare application platform for heart patients
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Conditional Restricted Boltzmann Machine (CRBM) is a promising candidate for a multidimensional system modeling that can learn a probability distribution over a set of data. It is a specific type of an artificial neural network with ...

• A parametrizable framework for CRBM applications based on OpenCL for FPGA.
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Accurate prediction of data center resource utilization is required for capacity planning, job scheduling, energy saving, workload placement, and load balancing to utilize the resources efficiently. However, accurately predicting those ...

• Dynamically identify best sliding observation windows for resource estimations.