A Tight Approximation for Fully Dynamic Bin Packing without Bundling
نویسندگان
چکیده
We consider a variant of the classical Bin Packing Problem, called Fully Dynamic Bin Packing. In this variant, items of a size in (0,1] must be packed in bins of unit size. In each time step, an item either arrives or departs from the packing. An algorithm for this problem must maintain a feasible packing while only repacking a bounded number of items in each time step. We develop an algorithm which repacks only a constant number of items per time step and, unlike previous work, does not rely on bundling of small items which allowed those solutions to move an unbounded number of small items as one. Our algorithm has an asymptotic approximation ratio of roughly 1.3871 which is complemented by a lower bound of Balogh et al. [3], resulting in a tight approximation ratio for this problem. As a direct corollary, we also close the gap to the lower bound of the Relaxed Online Bin Packing Problem in which only insertions of items occur. This work is partially supported by the German Research Foundation (DFG) within the Collaborative Research Center “On-The-Fly Computing” (SFB 901). ar X iv :1 71 1. 01 23 1v 1 [ cs .D S] 3 N ov 2 01 7
منابع مشابه
Fully-Dynamic Bin Packing with Limited Repacking
We consider the bin packing problem in a fully-dynamic setting, where new items can arrive and old items may depart. The objective here is to obtain algorithms achieving low asymptotic competitive ratio while changing the packing sparingly between updates. We associate with each item i a movement cost ci ≥ 0. We wish to achieve good approximation guarantees while incurring a movement cost of β ...
متن کاملFully Dynamic Algorithms for Bin Packing: Being (mostly) Myopic Helps
The problem of maintaining an approximate solution for one-dimensional bin packing when items may arrive and depart dynamically is studied. In accordance with various work on fully dynamic algorithms, and in contrast to prior work on bin packing, it is assumed that the packing may be arbitrarily rearranged to accommodate arriving and departing items. In this context our main result is a fully d...
متن کاملMore on batched bin packing
Bin packing is the problem of partitioning a set of items into subsets of total sizes at most 1. In batched bin packing, items are presented in k batches, such that the items of a batch are presented as a set, to be packed before the next batch. In the disjunctive model, a algorithm must use separate bins for the different batches. We analyze the asymptotic and absolute approximation ratios for...
متن کاملDynamic Bin Packing of Unit Fractions Items
This paper studies the dynamic bin packing problem, in which items arrive and depart at arbitrary time. We want to pack a sequence of unit fractions items (i.e., items with sizes 1/w for some integer w ≥ 1) into unit-size bins such that the maximum number of bins used over all time is minimized. Tight and almost-tight performance bounds are found for the family of any-fit algorithms, including ...
متن کاملTight Worst-Case Performance Bounds for Next-k-Fit Bin Packing
Abstract. The bin packing problem is to pack a list of reals in (0, 1] into unit-capacity bins using the minimum number of bins. Let R[A] be the limiting worst value for the ratio A(L)/L* as L* goes to x, where A(L) denotes the number ofbins used in the approximation algorithm A, and L* denotes the minimum number ofbins needed to pack L. Obviously, R[A] reflects the worst-case behavior of A. Fo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1711.01231 شماره
صفحات -
تاریخ انتشار 2017