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In data center, applications which are typically multi-server, high-parallel, long-running like web-related applications are really common. They always compute over large-scale dataset and consume plenty of energy. Up until now, most researches focuses on trading a loss of performance for energy saving. However, managing the power is more important compared with reducing it. In this paper, we add...
There has been growing concern about energy consumption and environmental impact of data centers. Some pioneers begin to power data centers with renewable energy to offset carbon footprint. However, it is challenging to integrate intermittent renewable energy into data center power system. Grid-tied system is widely deployed in renewable energy powered data centers. But the drawbacks (e.g. Harmonic...
In traditional cloud computing, elastic computing can be provided by increasing or decreasing the number of virtual machines (VM). However, the resource needed by applications change swiftly. This coarse-grained resource allocation approach is not a perfect way to satisfy the demand of the workload in short term. In this paper, we present a fine-grained resource allocation method in virtualized servers...
Eco-friendly energy sources (i.e. green power) attract great attention as lowering computer carbon footprint has become a necessity. Existing proposals on managing green energy powered systems show sub-optimal results since they either use rigid load power capping or heavily rely on backup power. We propose Chameleon, a novel adaptive green throughput server. Chameleon comprises of multiple flexible...
Energy consumption in contemporary data centers is continuously surging in an unsustainable way, and tremendous efforts have been devoted both from industry and academia to address this issue. The pervasive utilization of virtual machines (VMs) offers the service provider an opportunity to consolidate various workloads onto fewer servers, thus improving resource utilization as well as eliminating...
The virtual machine allocation problem is the key to build a private cloud environment. This paper presents a virtual machine mapping policy based on multi-resource load balancing. It uses the resource consumption of the running virtual machine and the self-adaptive weighted approach, which resolves the load balancing conflicts of each independent resource caused by different demand for resources...
Data integrity is critical for many applications. With huge amount of data shared with the cloud computing platform, i.e. Amazon S3, GFS, Apache Hadoop etc, the risk of damage is increasing at the same time. Equivocation is a powerful tool that malicious nodes can use to poison the states of honest nodes and escape punishment. Accountability which makes the system actions verifiable has become the...
Geographic routing has proven to be an efficient and scalable routing protocol for wireless sensor networks due to exploiting pure location information of sensor nodes for routing data packets. To enable geographic routing, source nodes must be aware of the location of the sinks, which is typically achieved by a location service. In this paper, we propose an on-demand location service (OLS) for geographic...
Complex event processing (CEP) is a branch of stream data mining, which is usually used to discover event patterns. Generally, a complex event processing engine uses nonprocedural declaration language and state machine to define event patterns. It generates synopses of universe data by sliding window model, therefore could identify event patterns which users care about from rapidly changing and potentially...
In today's scientific research, computers and networks are playing an increasingly important role in the laboratory. It is desirable to researchers that any machines outside the laboratory provide a uniform, consistent, desktop computing environment and the ability to access private laboratory computing resources when outside the familiar work place. This paper proposes a system called mobile e-Lab,...
In a structured peer-to-peer (P2P) overlay network, the stability of the entire network will be greatly affected by simultaneous join-in and drop-out of large amount of nodes. Aiming at reducing the overhead of handling this activity, we propose a group-based hierarchically structured overlay network, GSON. GSON is also a structured P2P overlay network using distributed hash table (DHT). In GSON,...
Grid Computing is an effective computing paradigm widely used in solving complex problems. There are a variety of existing grid middleware systems which support operation of grid infrastructures, including CNGrid GOS, EGEE gLite, Globus Toolkit, and OSG Condor etc. These grid infrastructures focus on encapsulating underlying computing and storage resources and providing necessary basic services such...
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