Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

The convergence of edge and cloud computing shares their strengths, such as unlimited
shared storage and computing resources from cloud, low-latency data preprocessing of …

The latest techniques and principles of parallel and grid database processing The growth in
grid databases, coupled with the utility of parallel query processing, presents an important …

The data migration problem is the problem of computing an efficient plan for moving data
stored on devices in a network from one configuration to another. Load balancing or …

The data migration problem is the problem of computing a plan for moving data objects
stored on devices in a network from one configuration to another. Load balancing or …

Incremental static timing analysis (iSTA) is the backbone of iterative sizing and Vt-swap**
heuristics for post-layout timing recovery and leakage power reduction. Performing such …

Cloud computing can provide a more cost-effective way to deploy scientific workflows than
traditional distributed computing environments such as cluster and grid. Due to the large …

Our work is motivated by the problem of managing data on storage devices, typically a set of
disks. Such high demand storage servers are used as web servers, or multimedia servers for …

We consider variants of the classic bin packing and multiple knapsack problems, in which
sets of items of different classes (colours) need to be placed in bins; the items may have …

Assigning jobs onto identical machines with the objective to minimize the maximal load is
one of the most basic problems in combinatorial optimization and has many practical …